Keynote Address

Plenary Session (Location: Hagerty Center)

 

October 28, 2026 at 9:00 AM — October 28, 2026 at 10:00 AM

For decades, transboundary flows of untreated sewage, industrial waste, trash, and sediment from Tijuana have impacted the Tijuana River Valley, coastal communities, and public health in San Diego County. This presentation examines the evolution of San Diego County’s response to this ongoing environmental and public health crisis, with a focus on beach water quality monitoring, advances in testing technology, and collaborative advocacy efforts. The County of San Diego’s Beach and Bay Water Quality Monitoring Program protects public health by collecting and analyzing water samples, communicating results, and implementing beach management actions when water quality conditions warrant advisories, warnings, or closures. In South County, enhanced daily monitoring provides additional data in an area particularly affected by transboundary sewage flows. The central focus of the presentation is the County’s implementation of droplet digital polymerase chain reaction (ddPCR) for use in beach water quality management decision, which became operational on May 5, 2022, following a decade of research, regulatory development, comparative testing, and collaboration with state and federal partners. ddPCR reduced average processing time from approximately 27 hours to 8 hours, allowing the County to communicate results and, when appropriate, reopen waters on the same day samples meet state standards. The presentation also explores how scientific data have informed policy and advocacy, including the County’s 2023 declaration of a local environmental emergency based on bacterial contamination, beach closures, and associated environmental and economic impacts. Partnerships among local, state, federal, academic, and international agencies have supported research, environmental monitoring, emergency response, infrastructure investment, and improved public access to information. Ultimately, the San Diego experience demonstrates how science, regulatory innovation, interagency collaboration, and community advocacy can work together to address a complex transboundary environmental health crisis and strengthen protections for communities and recreational water users.
 

Heather Buonomo picture
Heather Buonomo
October 28, 2026 at 10:00 AM — October 28, 2026 at 11:45 AM
The State of Our Beaches

Panel: United States, Canada, Tribes/First Nations and Eurpoean perspectives

Panel: U.S. State and Local Perspectives

Plenary Session (Location: Hagerty Center

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Andrea Contreras Balbuena
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Gabrielle Parent-Doliner
Lily Zolman picture
Lily Zolman
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João Brandão

Standards & MST

Track 1 - Breakout Session - 1:00 - 2:40 p.m.
(Locaton: Hagerty Center)

October 28, 2026 at 1:00 PM — October 28, 2026 at 1:20 PM

This session will have three goals, (1) to provide an overview of SRM 2917, a standard to support qPCR validation, (2) to learn from the community about adoption of qPCR for recreation water testing, and (3) to gain insight on current standards needs, specifically those that may support new and/or rapid detection methods. 

Abstract: Just under a decade ago the National Institute of Standards and Technology, in collaboration with the U.S. Environmental Protection Agency, developed a plasmid-based standard for Fecal Indicator Detection and Identification (SRM 2917). Each SRM 2917 unit consists of 6 levels (10 fold-dilutions from 5 x106 copies/µL to 5 copies/µL) and cover 13 genetic targets. Furthermore, the types of targets included are meant to support two types of testing: (1) qPCR methods that estimate the total amount of fecal matter in a sample and (2) qPCR methods that identify the source of the fecal contamination. Since its release in 2022, 116 units of SRM 2917 have been distributed, and the material will be renewed in 2027 for an additional 5 year. The goal of this presentation will be to provide the community with an update on NIST microbial program, seek feedback from the community on SRM 2917, and to learn about what future standards are needed to continue to support this field. 

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Sandra Da Silva
October 28, 2026 at 1:20 PM — October 28, 2026 at 1:40 PM

Examining how Michigan adopted NIST Standards for use in Draft Method C testing, and their performance across multiple years in making qPCR standard curves. 

Abstract: Beach monitoring is crucial for maintaining the health and well-being of everyone utilizing public beaches in Michigan. In Michigan, beach monitoring relies heavily on molecular methods (qPCR and more recently, ddPCR). Draft Method C, created by the EPA, is a qPCR-based test for E. coli that requires standard curves to quantify detections. These standard curves must be quality controlled and performed by all personnel responsible for beach testing. To optimize and coordinate standard curve validation across beach monitoring labs, Michigan has begun using the NIST Plasmid DNA for Fecal Indicator Detection and Identification (NIST Standards). These NIST Standards are standard reference materials, produced to contain fecal indicator DNA at 6 different concentrations making them a convenient and readily available option for standard curves. Additionally, because the NIST standards contain DNA from multiple fecal indicator bacteria it can also be used as positive controls for Draft Method C qPCR, ddPCR-based E. coli and microbial source tracking methods. Harmonizing the reagents used in beach testing across the state may reduce possible variables that can impact test quality. To understand how NIST standard utilization has impacted Michigan beach testing the performance of the NIST standards in qPCR standard curves will be compared across multiple years for Michigan beach monitoring labs.    
 

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Tayler Murphy
October 28, 2026 at 1:40 PM — October 28, 2026 at 2:00 PM

State and federal partners collaborated on a multi-year research project aimed at assessing pathogen concentrations in the swimming zone and near-shore sand of four beaches in Iowa. The objective was to explore relationships among E. coli, pathogens, and health risk at the beaches to support comprehensive management of this recreational resource.  Beach water and sand were analyzed for microbial source tracking markers (human, bovine/ruminant, dog, goose, gull, porcine, and avian) and bacterial, viral, and protozoan pathogens. Findings support the use of site-specific risk assessment and management to mitigate potential health risks posed to recreators.
 

Joel Stokdyk picture
Joel Stokdyk
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Jason Palmer
October 28, 2026 at 2:00 PM — October 28, 2026 at 2:20 PM

A case study on the use of microbial source tracking tools to inform on the fecal sources impacting water quality in a Florida stream. Recycled water was highlighted as a source that can interfere with identification of untreated sewage. However, using culturable E. coli and the sewage-associated H8 marker, we demonstrate our ability to distinguish sewage contamination which resulted in identification of infrastructure failure and successful remediation to improve water quality in the Florida stream.

Abstract: Sewage pollution in surface waters poses a higher health risk to recreators than recycled water due to the difference in concentrations, viability, and infectivity of pathogens in each source. Microbial source tracking (MST) is a widely accepted tool for identifying sources of fecal pollution in environmental waters. For example, the US Environmental Protection Agency has published guidelines for using the DNA marker HF183 to identify sewage contamination. However, we have demonstrated in previous studies that DNA persists through wastewater treatment and sewage-associated MST markers including HF183 remain quantifiable (up to 105 GC/100 mL) in recycled water. The persistent signal is problematic in urban areas that utilize recycled water for irrigation or discharge treated wastewater into surface waters. DNA markers from recycled water and treated discharges can falsely signal untreated sewage, leading to over estimation of health risk and unnecessary remediation efforts. To improve interpretation of HF183 data in areas where recycled water or treated discharges are likely, we developed a protocol to supplement HF183 analysis with the sewage-associated H8 marker in culturable Escherichia coli (cH8). The presence of cH8 unequivocally demonstrates a sewage/human fecal signal because E. coli are typically not culturable from treated wastewater. A case study in English Creek, Florida demonstrates the efficacy of this approach. The watershed is dominated by agricultural and low-density housing use. Probable sources of fecal pollution include municipal sewage and septic systems, birds, cattle, and deer. MST markers deployed were human-associated HF183 and cH8, ruminant-associated Rum2Bac, cattle-associated CowM3, bird-associated GFD, and the general fecal marker Genbac3. E. coli concentrations during this 12-month study consistently exceeded recreational water quality criteria (410 CFU/100 mL) and levels greater than 10^3 CFU/100 mL were observed. In the downstream sites over several sample events, we detected low levels of GFD (< 10^2 GC/100 mL) but recorded higher concentrations of HF183 (~10^3 GC/100 mL) and Rum2Bac (~10^4 GC/100 mL). The data suggested that ruminants and sewage were contributing to fecal pollution, however, cH8 was not detected in these downstream sites. We discovered broken irrigation lines near the downstream sites where recycled water with HF183 levels of 10^2 GC/100 mL draining into storm drains ultimately discharged into English Creek, therefore, we concluded that recycled water was a major contributor to the HF183 signal in the downstream sites. We iteratively added upstream sites, where we detected cH8, particularly near the intersection of the stream with a sewage pipe. Utility collaborators investigated after being informed of the MST findings and discovered a force main break that was discharging untreated sewage into a wetland connected to the upstream reaches of English Creek. Following the pipe repair, we observed a rapid decrease of the sewage signal in the upstream sites. This study demonstrates the confounding effect of a recycled water discharge on interpretation of HF183 data, and the successful application of cH8 to discern sewage pollution from recycled water inputs, leading to successful intervention and water quality improvement.
 

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Aldo Lobos
October 28, 2026 at 2:00 PM — October 28, 2026 at 2:20 PM

Abstract: Southern California is known for its stunning shorelines and warm weather, even in winter, where beaches attract 250 million beach-goers annually.  However, every time it rains, Public Health Officers warn swimmers to stay out of the water due to high bacteria levels despite sanitary sewers and storm drains being separate (i.e., no combined sewer overflows). Remediation of these waterbodies has proven challenging since there are many potential sources for the fecal indicator bacteria on which water quality is regulated. Microbial source tracking markers, able to distinguish human fecal sources from animal sources, have allowed for improved identification of the sources of contamination, but the bacteria they target are not themselves responsible for causing the illnesses associated with waterborne human fecal contamination. The goal of this research is to measure human fecal source markers and human pathogens across the entire southern California region (approximately 5,900 km2 and 28 million people). 

In this study, we measured the human marker (HF183) along with human adenovirus, human norovirus, Campylobacter spp., and Salmonella spp. in stormwater. We analyzed stormwater at 31 sites from 2021-2023.  We detected human markers HF183 and Lachno3 at 90% and 97% of the sites, respectively.  We also detected at least one human pathogen at every site. Though the relationship was variable, human markers and pathogens were correlated. Neither human markers nor pathogens were significantly correlated with rainfall. 

We modeled health risk associated with direct exposure to stormwater using quantitative microbial risk assessment (QMRA) and to simulate the human health risk associated with recreational exposure to stormwater.  Using the observed concentration distribution of the human-specific fecal indicator HF183 in stormwater to determine that at the US EPA’s risk threshold, concentrations of HF183 are predicted to be 50 copies per 100 milliliters. We estimated the median probability of illness from recreational exposure to stormwater to be approximately 140 illnesses per 1,000 swimmers (14%), higher than the United States Environmental Protection Agency risk threshold of 32 illnesses per 1,000 swimmers (3.2%).  We determined that if stormwater is diluted 1:10 into receiving pathogen-free ambient waters, the median health risk falls to meet the US EPA’s threshold of 32 illnesses per 1,000 swimmers. 

The broad snapshot of the fecal contamination in southern California stormwater generated in this study is a first step toward characterizing the relationship between human specific fecal markers and pathogens in stormwater in Southern California. This relationship serves as a basis for improving risk estimates of illness from contact with urban stormwater. QMRA also provides a framework for generating risk-based thresholds for HF183 concentrations in stormwater-impacted ambient waters.

 

Joshua Steele picture
Joshua Steele

Coastal Resilience

Track 2 Breakout Sessions - 1:00 - 2:40 p.m.
(Location: Delamar)

October 28, 2026 at 1:00 PM — October 28, 2026 at 1:20 PM

This study addresses the observational gap in high-frequency water level fluctuations (HFWLF) in the Great Lakes using a new observational network of Sofar Ocean Spotter buoys and bottom-mounted pressure sensors. 

Abstract: High-frequency water level fluctuations (HFWLF) in the Great Lakes, such as meteotsunamis, infragravity waves, and wind waves pose significant risks to navigation, infrastructure, and public safety. Existing in-situ observation networks are limited in their ability to capture HFWLF, creating an observational gap which includes wind-generated waves, infragravity waves and meteotsunamis (about 5 seconds to 12 minutes). Operational models also fail to capture these events due to configurations including spatial and temporal resolutions. Here, we address this gap in observations through a new observational network of Sofar Ocean’s Spotter buoys and bottom-mounted pressure sensors capable of sampling 2-2.5 Hz, allowing us to capture the full-spectrum of water level fluctuations in the Great Lakes. We analyze wave events captured by this network during the 2025 summer season to identify the HWFLF signatures present and the potential coastal hazards associated with them. Specifically, we focus on identifying the presence of HFWLF signatures, how they vary by location and event, and their concurrence with coastal hazards. Ultimately, this work addresses the gap in high frequency water level fluctuations and evaluates the associated coastal hazards. This will contribute to improved detection and forecasting of coastal hazards in the Great Lakes. 

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Alexa Yeo
October 28, 2026 at 1:20 PM — October 28, 2026 at 1:40 PM

Exploration of a shoreline stabilization approaches that integrate emulation of natural shoreline planforms and aesthetics, ecological enhancements and long-term functional performance to control littoral processes while and concurrently reintroducing scarce and significant habitat to the nearshore waters.

Abstract: Illinois Beach State Park is a nearly 6-mile-long stretch of undeveloped shoreline on Lake Michigan and is regarded as an irreplaceable environmental asset. The coast has suffered shoreline retreat as high as 100 ft in one year and as such, there is urgent need to preserve the remaining coastal area. To find a shoreline stabilization strategy that is compatible with the need to preserve a natural setting, Edgewater Resources married innovative approaches to finesse certain littoral responses with ecological enhancement design to develop a composite, value engineered solution that naturally embeds habitat as an integral part of the solution. The primary focus areas were those reaches of shoreline experiencing the highest rates of shoreline retreat. By locally inducing, through intentional refraction and diffraction, the transport rate to be more uniform and reduced, the shoreline would experience a balanced transport, eradicating local erosion “hot spots”, and ultimately minimizing shoreline and sediment loss.  The overall strategy for stabilizing the shoreline diverged from traditional brute force solutions to control, rather than try to resist, changes to the shoreline morphology.  Deviating from a prescribed brute force solution also allowed for the integration of natural features to serve as a functional part of the erosion control scheme, but with the proper aesthetics and ecological value. Using an “Engineering with Nature” approach Edgewater was able to coerce a specific transport behavior utilizing strategic structures such as submerged reefs or appropriately placed and shaped near shore structures to limit and redirect the amount a of wave energy that can reach the shore. This is accomplished using “tuned” structures oriented to induce a certain desired reaction from the wave field. This locally produces a different transport rate, which in turn modifies the shoreline planform.  In the extreme, even the direction of sediment movement could be reversed.  The design solutions were initially developed and analyzed using numerical modeling tools and methods to initially size and configure the system.  Two and three dimensional physical model testing was then employed to validate and refine the actual performance, allowing the resilience and effectiveness of the habitat enhancement to also be demonstrated. 

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Jack Cox
October 28, 2026 at 1:40 PM — October 28, 2026 at 2:00 PM

Abstract: The State of Michigan has long recognized the importance of protecting its freshwater sand dunes. In response to development pressures and the need to protect these dunes, Michigan enacted the Sand Dune Protection and Management Act in 1989. Today, the Michigan Department of Environment, Great Lakes, and Energy (EGLE) regulates the 74,000 acres of Critical Dune Areas (CDA) identified in the 1989 atlas. From 2024-2026, EGLE contracted with GEI Consultants, the Michigan Natural Features Inventory, Michigan Technological University, and Michigan State University to assess sand dunes across the state and develop the proposed 2026 atlas of critical dune areas. The effort included a combination of remotely sensed and field-based assessments to designate new CDAs, de-designate existing CDAs that no longer meet designation criteria, or correct CDA boundaries as appropriate based on physical and ecological conditions. The result is one of the largest reviews of Michigan’s sand dunes ever conducted. This presentation will provide an overview of the methodology used to holistically assess the morphology, coastal processes, impacts, and ecology of Michigan’s sand dunes and how EGLE is using this data to further coastal resiliency goals through the Critical Dune Area program. 

Zach Chamberlin picture
Zach Chamberlin
October 28, 2026 at 2:00 PM — October 28, 2026 at 2:20 PM

Nearly every coastal state benefits from having a vibrant healthy coastline, while at the same time suffers physical, ecological, and economic losses when its beaches retreat and disappear.  Implementing beach nourishment is a primary means of maintaining or recovering that loss of the beach for reasons spanning from tourism and economy to disaster mitigation and resiliency. In Michigan, beach nourishment occurs primarily as a byproduct of the maintenance of our navigable channels. And yet the benefits of the process are far greater than the intent, particularly as Michigan’s 3,288 miles of coastline are threatened by erosion. This presentation will provide a snapshot of the state of beach nourishment in Michigan – how it’s used now, who is nourishing, it’s impacts, and how promoting and sponsoring more of it could help the Great Lakes State provide shoreline resilience in the future.

Abstract: Beach nourishment is a familiar process to nearly all coastal states. The strategy of nourishment has been deployed successfully for many reasons, spanning from tourism and economy to disaster mitigation and resiliency. Nourishment enhances beaches and public trust shorelines which attract visitors and generate tourism. The process also provides ecological benefits, restoring shorelines and littoral drift patterns. Perhaps most importantly, nourishment restores the littoral sediment systems which naturally buffer our shorelines, correcting for man-made impacts, and absorbing the erosive forces of storms.  In Michigan, beach nourishment occurs primarily as a byproduct of the maintenance dredging of our navigable channels. And yet the benefits of the process are far greater than the intent. Historically, Michigan’s population has reacted to the cyclic changes in Great Lakes water levels, resulting in ‘emergency’ armoring during high water conditions and stormy years, followed by the lakeward creep of development during low water conditions and sand accretion. The State of Michigan has taken proactive steps to retool  it’s coastal resiliency kit - educating communities and shoreline property owners, encouraging soft solutions and supporting local planning/zoning efforts, and regulating how shorelines are managed. Each location may benefit from one solution or another and beach nourishment has generally not been considered an option due to funding challenges and lack of clarity regarding the implementation process.   Given the successful strategies used in other states and the observed benefits of beneficial use of dredged material (BUDM) in Michigan, beach nourishment should represent yet another tool for the kit, to be considered in locations where the needs and constraints align with the solution. 
 

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Michael Morphey
October 28, 2026 at 2:20 PM — October 28, 2026 at 2:40 PM

A practitioner-focused synthesis of small-scale beach nourishment, pocket beaches, and embayed shoreline systems, drawing on several decades of project experience across Florida, the Caribbean, the Bahamas, and the Indian Ocean. The discussion emphasizes the engineering of beaches ranging from approximately 300 to 2,500 feet in length, and frequently integrated with groins, breakwaters, revetments, marina structures, or headland spurs.

Abstract: Shoreline restoration efforts range from large-scale regional beach nourishment projects to compact, semi isolated littoral cells associated with resorts, urban waterfronts, marinas, inlets, or coastal structures. This presentation concentrates on the latter – small-scale nourishment and structural stabilization projects, which require highly tuned, adaptive engineering solutions.  This presentation presents a practitioner-focused synthesis of small-scale beach nourishment, pocket beaches, and embayed shoreline systems, drawing on several decades of project experience across Florida, the Caribbean, the Bahamas, and the Indian Ocean. The discussion emphasizes the engineering of beaches ranging from approximately 300 to 2,500 feet in length, and frequently integrated with groins, breakwaters, revetments, marina structures, or headland spurs.  Key topics include: (1) identification and diagnosis of semi isolated littoral cells; (2) geometric precepts for the design and stability of T head groins, pocket beaches, and crenulate bays; (3) application of design water levels and simplified equilibrium relationships to control embayment width, shoreline curvature, and planform stability. Selected case studies illustrate how modest structural refinements, tuned geometry, and coarse-grained design rules can enhance beach resilience, recreational utility, and site aesthetics.  These principles, when applied judiciously, deliver robust shoreline performance, while minimizing downdrift impacts to adjacent shorelines.  Post construction performance over timeframes ranging from months to multiple years is examined to assess durability under real wave climates, including storm response and recovery.  These observations highlight both the strengths and inherent limitations of these solutions.  Overall, the presentation bridges classical coastal theory with the practical realities of modern shoreline design, offering transferable design insights for engineers working in space-constrained and infrastructure-rich coastal settings.

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Steven Howard

Health Risk

Track 1 Breakout Sessions 3:00 - 5:00 p.m.
(Location: Hagerty Center)

October 28, 2026 at 3:00 PM — October 28, 2026 at 3:20 PM

Marina Beach has a history of exceeding bacteria targets, raising concerns about swimmer health and the most effective management actions. Previous studies identified birds as the primary source, with low human input, but actual recreational health risk was not evaluated. This project collected summer-season samples across the beach and harbor to measure human and gull fecal DNA markers. Marker concentrations were compared to published risk-based thresholds to estimate combined health risk from human and bird sources. This study demonstrates a practical, low-cost screening approach to inform beach managers about actual health risk, dominant sources, and targeted abatement strategies.

Abstract: Marina Beach (also known as Mother’s Beach) in Marina del Rey Harbor, California is a popular beach for swimming and other water recreation activities. Water quality at the beach has historically exceeded numeric targets for fecal indicator bacteria in both dry and wet weather, suggesting there may be a potential public health risk to swimmers and other recreators. Previous microbial source tracking studies found evidence of low level diffuse human waste sources and identified birds as the primary source of bacteria to the beach and harbor. However, the actual recreational health risk in waters impacted by this mixture of sources was not evaluated, and thus it was unclear how Los Angeles County Beaches & Harbors should most effectively manage or abate these sources to protect public health. The objective of this project was to collect a robust and current dataset of human and bird fecal DNA marker concentrations at Marina Beach during the summer recreational season, estimate the combined risk from human and bird fecal sources based on recently published risk relationships for these DNA markers, and provide recommendations for source abatement strategies to most efficiently reduce recreational health risk if found to be elevated.  In this presentation, health risk screening results from Marina Beach will be shared. Water samples were collected from multiple beach and harbor locations, as well as from shallow groundwater at the beach, over a period of three months during the summer season. Groundwater and harbor locations were selected to determine if human waste sources near the beach (belowground sanitary sewers, boats, and boat pump out facilities) were a potential source of bacteria to the beach. Samples were analyzed for human and gull fecal DNA markers, as well as fecal indicator bacteria. Resulting concentrations were compared to published risk-based thresholds. This health risk screening approach represents an innovative and relatively low-cost solution to estimating recreational health risks, compared to a full quantitative microbial risk assessment or epidemiological study, and a way to show the resilience of beaches to the impacts of humans and animals. Results provide valuable information to beach managers on the estimated recreational health risk, what source is driving the risk, and what actions can be taken to reduce risk where elevated. Where risk is estimated to be below tolerable levels, this data can be used to support that management actions are effective, and beaches are safe for recreational activities. If further data is needed to support an alternative compliance approach, this screening represents an important first step in the pursuit of that pathway.

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Emily Campbell
Lauren Godinez picture
Lauren Godinez
October 28, 2026 at 3:20 PM — October 28, 2026 at 3:40 PM

This presentation will highlight a comparative case study that examines the utility of using microbial source-tracking data from recreational water and quantitative microbial risk assessment to inform source- and site-specific health risks. The approach and development of the human health risk assessment will be discussed to support other integrated MST and QMRA studies. Further, the potential information that can be learned and the decision-making that can be implemented by beach managers stemming from this integrated approach will be presented. 

Abstract: Bacterial impairments in recreational waters continue to be a recurrent water quality concern, and improvements in molecular source tracking approaches to identify specific fecal sources have been instrumental in evaluating and mitigating source-specific fecal pollution. However, microbial contamination stemming from fecal pollution continues to be a significant public health concern, resulting in beach closures and health advisories. Differentiating source-specific health risks using quantitative microbial risk assessment (QMRA) can help improve current beach management efforts. Water samples collected from three coastal areas, referred to as Little Bay, City-by-the-Sea, and Corpus Christi Bay, were analyzed with the following fecal markers: human (HF183), gull (Gull2), and dog (DogBact). These marker concentrations were analyzed using a QMRA to estimate human health risks for gastrointestinal infection and illness following ingestion of seawater while swimming. Source-specific and cumulative health risks for all fecal sources were estimated and found not to exceed the U.S. EPA risk threshold of 0.032 for primary contact recreation. However, health risks were found to vary considerably for each fecal source, with the human fecal source consistently driving health risk estimates. This study supports thinking beyond the utility of fecal indicator bacteria to leveraging environmental molecular marker data and QMRA to inform site-specific health risks, which may influence beach management practices and advisories.
 

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Anna Gitter
October 28, 2026 at 3:40 PM — October 28, 2026 at 4:00 PM

Abstract:  Despite stringent efforts to control large sources of human fecal pollution (and the greatest risk to bathers), studies continue to find human fecal genetic markers (e.g., HF183) and human specific pathogens in urban runoff from the San Diego River watershed. Identifying and controlling human sources of fecal pollution is particularly problematic in wet weather runoff where a multitude of human and non-human sources may commingle as they dynamically mix and flow downstream. Potential sources found in the watershed included: sewer exfiltration, sanitary sewer overflows (SSOs), private laterals, Onsite Wastewater Treatment Systems (OWTS), illicit connections and illegal discharges (IC/ID), and people experiencing homelessness. This five-year study found that human fecal pollution in the SDR was associated with wet weather. Dry weather sampling revealed little detectable HF183 and, when quantifiable, the site-specific human inputs were readily identifiable. In contrast, quantifiable HF183 concentrations were widespread across most mainstem and major tributary sites during every storm event sampled, and typically with concentrations orders of magnitude greater than dry weather. Of the six human fecal sources contributing fecal pollution to the SDR in wet weather, three stood out as the largest: SSOs, exfiltration from the public sewer system, and OWTS. Human fecal pollutant load estimates from private laterals and people experiencing homelessness were the smallest of the sources. Cumulatively, the annual wet weather mass loading of HF183 from these six sources falls within the range of HF183 mass loading quantified independently at the bottom of the SDR watershed, suggesting that there were no large human fecal sources left unquantified. While this research represents some of the most advanced techniques for quantifying human fecal loading, there are still many uncertainties that may limit conclusions. For example, there is tremendous year-to-year variability of the SSO mass estimate. While sufficient research occurred during this study to confidently assert that exfiltration from the public sewer system likely occurs, and that subsurface exfiltrated sewage is making it to surface waters when it rains, the specific mechanisms of how the subsurface transport occurs was not identified. In contrast, even making extreme assumptions about the behavior of people experiencing homelessness, this source remains orders of magnitude less than what is measured at the end of the watershed.
 

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John Griffith
October 28, 2026 at 4:00 PM — October 28, 2026 at 4:20 PM

This presentation introduces a hybrid modeling approach for predicting bathing water quality, combining machine learning and deterministic models. Simple statistical models are used for low-risk beaches, while more complex process-based models are applied where hydrodynamics and pollution sources require detailed representation. A decision frameworks help managers select the appropriate approach. The method improves prediction accuracy while optimizing cost and effort. It supports real-time, risk-based beach management. 

Abstract: Timely assessment of bathing water quality remains a critical challenge for beach managers, particularly due to the rapid variability of microbial contamination driven by rainfall, hydrodynamics, and intermittent pollution sources. Traditional monitoring based on laboratory analysis introduces delays that limit the ability to provide real-time public health advisories. As a result, predictive modeling tools are increasingly used to support operational decision-making.   Building on more than ten years of operational predictive modeling implemented across multiple French coastlines, this study introduces a practical hybrid framework designed to improve bathing water quality prediction while optimizing implementation effort and cost. The approach combines statistical machine learning models and deterministic process-based models, selecting the appropriate level of complexity based on site-specific risk and behavior.   At low-risk beaches, where contamination events are infrequent and largely controlled easily measurable environmental drivers, machine learning models are used. These models rely on routinely available data such as rainfall, wind, and turbidity to provide reliable same-day nowcasts and short-term forecasts. They are lightweighted, easy to deploy, and require limited calibration, making them well suited for large-scale implementation across multiple sites.   At more complex or high-risk beaches, where contamination is influenced by hydrodynamic processes, multiple pollution sources, or short-term events such as combined sewer overflows, a deterministic modeling approach is applied. This component integrates hydrodynamic simulations with bacterial transport and decay processes to better represent contamination pathways and predict exceedances of regulatory thresholds. Although more data- and resource-intensive, these models provide greater accuracy and interpretability in complex environments.   A decision-support framework is introduced to guide beach managers in selecting the most appropriate modeling strategy. Key criteria include historical exceedance frequency, environmental variability, data availability, and management objectives. This tiered approach allows resources to be allocated efficiently while maintaining a high level of public health protection.   Application of the framework across multiple sites demonstrates that machine learning models are sufficient for routine conditions at low-risk beaches, while deterministic models significantly improve prediction performance at complex sites. The hybrid system enables both nowcasting and short -term forecasting, supporting proactive beach advisories and more informed communication with the public.

This work provides a scalable and adaptable solution, grounded in long-term operational experience, for beach management programs seeking to transition from reactive monitoring to predictive, risk-based strategies. 
 

Amandine Declerck picture
Amandine Declerck
October 28, 2026 at 4:20 PM — October 28, 2026 at 4:40 PM

This session explores how beachgoers interpret water quality by relying on sensory cues and beliefs that fail to accurately capture risk by conflating water quality with cleanliness (e.g., lack of debris and trash). Survey research has found that less than 50% of adults consider “clean” beach water to be free of disease-causing pathogens when, from a health perspective, that is the defining characteristic. To advance our understanding of public awareness of health risk from waterborne pathogens, we examine people’s behaviors and beliefs about Galveston Island beaches using a novel instrument called the Galveston BEACH (Beaches, Economic Activity, and Community Health) Survey. Through statistical analysis of the survey data, we answer: What risks do beachgoers perceive from their recreational activities? To what degree are people aware of waterborne pathogen risk from recreational exposure? What individual and social factors are associated with this awareness?

Abstract: People tend to rely on sensory input and belief to understand beach water quality. This leads to misperceptions such as thinking the color and clarity of coastal waters is an indicator of its quality while it is more often a product of biogeochemical factors (e.g., turbidity). Yet, many social studies tend to overlook that water quality perceptions fail to accurately capture risk by conflating water quality with cleanliness (e.g., lack of debris and trash). Survey research has found that less than 50% of adults consider “clean” beach water to be free of disease-causing pathogens when, from a health perspective, that is the defining characteristic.  To advance our understanding of public awareness of health risk from waterborne pathogens, we examine people’s behaviors and beliefs about Galveston Island beaches using a novel instrument called the Galveston BEACH (Beaches, Economic Activity, and Community Health) Survey. Participants were recruited through a variety of modes, and data was collected from residents and tourists across three waves from 20 February through 31 December 2023. All survey protocols and instruments were reviewed and deemed exempt by the Texas A&M University Institutional Review Board (reference number IRB2022-1179M). Through statistical analysis of the survey data, we answer: What risks do beachgoers perceive from their recreational activities? To what degree are people aware of waterborne pathogen risk from recreational exposure? What individual and social factors are associated with this awareness? Answering these questions will provide insights into the value and risks ascribed to beach recreation, the efficacy of existing monitoring programs, and how awareness of the harms associated with waterborne pathogens can be increased among beachgoers. 

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Virgie Greb
October 28, 2026 at 4:40 PM — October 28, 2026 at 5:00 PM

Abstract:  Human fecal contamination is a persistent, widespread problem in urban stormwater. With thousands of miles of sanitary sewer collection infrastructure, sewer collection systems may be a substantial source. Differences in prokaryotic communities in sanitary and storm sewer pipes in combined collection systems have been reported, but this has not been extensively studied in stormwater from municipal separate storm sewer systems (MS4).

We asked:

  1. Can we distinguish the microbial community in storm sewers vs. sanitary sewers?
  2. Do observed differences between these two communities persist? and
  3. Can a distinct sanitary sewer microbial community signal be detected and quantified in stormwater?

To answer these questions, we collected slurry samples containing biofilm, sediment, and water from 18 sanitary and 35 storm sewer pipes in urban areas during both summer and winter, performed a laboratory sensitivity experiment where sanitary sewer biofilm was spiked into stormwater, and collected stormwater during three storms at 14 sites throughout an urban watershed in southern California. We sequenced the 16SrRNA v4-5 region with universal prokaryotic primers, identifying >56,000 unique amplicon sequence variants (ASVs) using DADA2. We found distinct sanitary and storm sewer communities based on sequence and taxonomic comparisons. Source classification with SourceTracker2.0 in combination with the laboratory sensitivity testing showed reliable detection of 0.01% sewage in stormwater. Applying this method to an urban watershed, we identified a dilute (<1%), but widespread sewage signal. We demonstrate that a microbial community sequencing approach can detect and quantify human fecal contamination from sanitary sewer pipes in stormwater.

Joshua Steele picture
Joshua Steele

TMDLs & AOCs

Track 2 Breakout Sessions - 3:00 - 5:00 p.m.
(Location: Delamar)

October 28, 2026 at 3:00 PM — October 28, 2026 at 3:20 PM
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Kevin Goodwin
October 28, 2026 at 3:20 PM — October 28, 2026 at 3:40 PM
Molly Rippke picture
Molly Rippke
October 28, 2026 at 3:40 PM — October 28, 2026 at 4:00 PM
Greg Kleinheinz picture
Greg Kleinheinz
October 28, 2026 at 4:00 PM — October 28, 2026 at 4:20 PM
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Jennifer Lavender Braun

Data Stories and Lessons Learned

Day 2 Plenary Session, 9:00 -10:40 a.m.

October 29, 2026 at 8:45 AM — October 29, 2026 at 9:05 AM

Abstract: What are the trends in beach closures and advisories across the nation over the last decade? States, Tribes and territories who receive BEACH Act grants have submitted water quality and beach advisory data to EPA’s BEACON (Beach Advisory and Closing On-line Notification) data system since the 2000 BEACH Act. In this presentation, EPA’s headquarters Beach Program staff will share trends and visualizations of beach closures that will cover data at the regional, state, county and beach level from 2015-2024. Percent of beach days open during the season is the metric we will use to analyze trends and visualize the data. This metric normalizes variations in swim season length, beach closure criteria and different fecal bacteria indicators and methods measured. Analyzing the data using this metric enables individuals to visualize data at the beach, county, state, Tribal and territory scale. Viewing the historic data set in this new way, at a granular resolution, could help inform management decisions at multiple scales. Single year and multiple year visualizations can highlight spatial and temporal trends. The presentation is an overview of the analysis and how we put together millions of water quality data points from over 4,000 beaches across the nation. We will demonstrate how the data visualization is useful at multiple scales from an EPA Region down to an individual beach. Finally, we will discuss how this might inform future tools that may be developed by headquarters to support the Beach Program.
 

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Andrea Contreras Balbuena
October 29, 2026 at 9:05 AM — October 29, 2026 at 9:25 AM

Abstract: The Florida Healthy Beaches Program was established by the Florida Legislature in 2000. Section 514.023, Florida Statutes, provides authority for the Department of Health to monitor our coastal beaches and to issue advisories when conditions exceed indicator standards. Beginning in 2002, the Environmental Protection Agency (EPA) supported monitoring of Florida’s beaches to develop and implement beach monitoring that is consistent with the Federal Beach Act requirements. Fecal coliform and enterococcus bacteria were initially used as indicators with the monitoring of fecal coliforms ending in the summer of 2011. Currently, 31 of Florida’s coastal counties are conducting weekly or biweekly sampling which is supported by county, State and EPA Grant funding. From 2000 through 2026, Florida County Health Departments have collected 283,056 beach samples. Currently in 2026 our Program is conducting monitoring at 349 beaches and as of July 10th have collected 7055 samples. This presentation will provide an overview of our Program to include topics such as resampling, advisories and public dissemination of our data.

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Dale Griffin
October 29, 2026 at 9:25 AM — October 29, 2026 at 9:45 AM

This session will explore Inland Seas Education Association's 37-year West Grand Traverse Bay secchi disk dataset. This dataset, collected by student participants in ISEA programs, has helped to establish seasonal and annual trends in the bay's average water turbidity, and is regularly used to demonstrate the impact invasive species, particularly dreissenid mussels (D. bugensis & (D. polymorpha), have had on the local ecosystem. 

Abstract: Inland Seas Education Association is a Great Lakes education non-profit based in Suttons Bay, MI. Since 1989, ISEA has conducted ship-based educational programs in which student participants are directly involved in collecting secchi disk measurements in West Grand Traverse Bay and Suttons Bay. Still actively growing, the ISEA secchi disk dataset has logged more than 4,000 observations to date, making it one of the longest running and most robust water quality datasets in the region.  In the Great Lakes, water turbidity is impacted by a variety of factors, including the abundance of plankton life and shoreline erosion. ISEA’s citizen science secchi disk dataset has been used to help establish seasonal and annual trends in the water turbidity of West Grand Traverse Bay. Seasonally, secchi measurements range from an average of 16 meters in May to an average of 10 meters in October. For ISEA, this seasonal data is used in educational programming to demonstrate the impact an increase in water temperature and sunlight availability has on turbidity. From 1989 to 2025, the annual average secchi depth has increased from about 8 meters to about 12 meters. This change in the annual average is a result of the introduction of the invasive dreissenid mussel species, D. bugensis (quagga mussel) and D. polymorpha (zebra mussel). These invasive mussels are filter feeders that consume an unsustainable amount of the plankton in the Great Lakes. Lower plankton abundance as a result of invasive mussels has caused increased water transparency. ISEA’s annual average secchi data is regularly used to educate the public about the importance of plankton to the Great Lakes ecosystem and to inspire stewardship action that combats the impacts of invasive species. 

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Lauren Sheffer
October 29, 2026 at 9:45 AM — October 29, 2026 at 10:05 AM

Lake Michigan beach design criteria and monitoring data will be summarized from implemented projects. These examples will discuss the formulation of a resilient shoreline design and management plan. 

Abstract: After the 1950’s, man-made armoring of the Lake Michigan shoreline in Wisconsin and Illinois increased. This has significantly limited the amount of sediment to the littoral system from natural bluff and shoreline erosion. To compensate for the reduced sediment transport, recreational beach cells have been provided, along with sand nourishment. The structures and sand fill work together reducing the incoming wave energy and protecting the shoreline, while providing a recreational amenity. With time, there will be some sand losses, and beach nourishment is needed. These projects involve multi-year monitoring as a proactive way to forecast the frequency and quantity of sand needed. Based on beach survey and sediment testing, sometimes the original sand is mixed in with fine material that flattens the beach slope and increases the potential for storm damages. The presentation will discuss the process of building a resilient beach shoreline with multiple case studies shown, with the following considerations:

  • Protecting the shoreline in a variety of water levels
  • Selection of coastal design criteria
  • Unique combination of man-made structures and natural (beach nourishment)
  • Design and construction process
  • A summary of lessons learned from design and monitoring
  • Stability of beach fill material
  • Resilient shoreline management
     
Dan Veriotti picture
Dan Veriotti
October 29, 2026 at 10:05 AM — October 29, 2026 at 10:25 AM

Ottawa Conservation District entered into a 5 year water quality monitoring contract with the Ottawa County Water Resources Commissioner in 2024. This monitoring program is aimed at filling water quality data gaps within all watersheds in Ottawa County to better understand current surface water conditions and target technical and financial assistance for nonpoint source pollution reduction work.

Abstract: During the Spring of 2024, the Ottawa Conservation District (OCD) received a $1 million contract from Ottawa County to conduct a 5-year project focused on comprehensively monitoring every HUC 12 watershed in the county for E. coli, nutrients, hydrology, habitat, fish & macroinvertebrates, etc. This funding was made available through a class action lawsuit that delivered settlements to many counties, municipalities, and MS4 communities with 303 (d) listed impaired waterbodies. Not only will this provide valuable information about watershed conditions, but it will also allow the OCD to identify critical areas to help target financial and technical assistance and will help in applying for future grants. OCD’s watershed staff will go through the timeline and goals of the monitoring program, the educational and volunteer opportunities through the program, and will discuss findings so far from the first few years.  Learn more at ottawacd.org/water_quality_monitoring/.

Sarah Bowman picture
Sarah Bowman

Bactiquick Panel

 Day 2 Plenary - 11:00 - 11:45 a.m. 

October 29, 2026 at 10:40 AM — October 29, 2026 at 11:45 AM
Nishita D'Souza picture
Nishita D'Souza
October 29, 2026 at 10:40 AM — October 29, 2026 at 11:45 AM

In this session panelists will discuss how Bactiquick can become part of a beach sampling program and how individual beach thresholds for advisories can be developed and provide statistical results.

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Michael Swain
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Maggie Petersen
Jeffrey L. Ram picture
Jeffrey L. Ram
Ishi Keenum picture
Ishi Keenum
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Brian Scull

Rapid Testing

Track 1 Breakout Sessions - 1:00 - 2:40
(Location: Hagerty Center)

 

October 29, 2026 at 1:00 PM — October 29, 2026 at 1:20 PM

Ottawa County Department of Public Health (OCDPH) serves a Lake Michigan shoreline community where rapid, accurate beach water quality monitoring is a seasonal public health priority. Through a 2025 EGLE grant, OCDPH upgraded to the IDEXX TECTA rapid testing system, reducing sample result turnaround from 18 hours to as little as four, while increasing the number of beaches that are sampled. Results are automatically routed to a public-facing Power BI dashboard that calculates water quality metrics and pushes alerts when water quality standards are exceeded. This session will walk through OCDPH's first full season with TECTA, offering an honest look at implementation, lessons learned, and the public health impact of getting accurate beach safety information into the hands of swimmers faster than ever before.

Abstract: Ottawa County, Michigan sits along the eastern shore of Lake Michigan, where the Grand River empties into the lake within county boundaries — creating dynamic water quality conditions that demand reliable, timely monitoring. Each summer, thousands of residents and visitors rely on the county's public beaches for recreation, making the speed and accuracy of water quality data a direct public health concern. In 2025, Ottawa County Department of Public Health (OCDPH) was awarded funding through the Michigan Department of Environment, Great Lakes, and Energy (EGLE) Rapid Testing and Source Tracking for Beaches Grant, launching a significant transformation in how the agency monitors, analyzes, and communicates beach water quality to the public. The grant enabled OCDPH to upgrade its testing platform from the IDEXX Quanti-Tray System to the IDEXX TECTA System, expand the number of actively monitored beaches, and strengthen its overall reporting structure. The shift to TECTA represented a major operational improvement — producing results in as little as four hours compared to the 18-hour plus turnaround time of the previous system. TECTA also analyzes samples in real time and delivers results directly to a designated email inbox, eliminating the need for staff to be physically present to read and record results. The program also incorporates source tracking capabilities to aid in identifying contamination sources when water quality thresholds are exceeded. That email-based delivery became the foundation for a broader automation initiative. OCDPH developed a workflow that automatically transfers incoming sample results to a centralized data table, which in turn feeds a public-facing Power BI dashboard. The dashboard calculates the daily geometric mean and seasonal geometric average in real time and generates automatic alerts when water quality thresholds are exceeded — moving from sample collection to public notification faster than ever before, with minimal manual intervention. This presentation will provide a detailed overview of OCDPH's 2026 beach sampling season, the first full season utilizing the TECTA platform. Attendees will hear an honest assessment of the system, including practical advantages, operational challenges, and lessons learned during implementation. The public-facing dashboard will be demonstrated, with discussion of its design, functionality, and the data it presents to beachgoers and stakeholders. The presentation will also explore the broader public health value of rapid data transparency — examining how faster reporting influences swimmer behavior, supports timely advisories, and builds community trust in local health agencies. OCDPH will share the outreach and awareness strategies employed during the 2026 season to increase public engagement with the dashboard and beach monitoring program.
 

Kimberly Moore picture
Kimberly Moore
October 29, 2026 at 1:20 PM — October 29, 2026 at 1:40 PM

Gen-Spot® is an innovative molecular tool for rapid and accurate assessment of recreational water quality through RNA-based detection of Escherichia coli and intestinal enterococci, the key indicators defined by regulatory frameworks. Unlike conventional culture-based methods requiring 18–48 hours, Gen-Spot® delivers results within approximately 3 hours. By targeting RNA, it detects specifically viable and viable but non-culturable (VBNC) bacteria, providing a more biologically relevant measure of pollution. The method has been validated across diverse aquatic environments and widely deployed along the French shoreline, demonstrating robustness under varying conditions. Overall, Gen-Spot® enables near real-time, data-driven management of bathing water quality, supporting timely decision-making and improved protection of public health.

Abstract: The management of recreational water quality represents a critical public health and environmental challenge, as it directly affects the safety of users. In this global context, the molecular tool Gen-Spot® has been developed to enable rapid and effective monitoring of bacteriological water quality of these areas. It constitutes a significant technological advancement over conventional culture-based methods, which typically require incubation times of 18 to 48 hours. This innovative approach emerged in response to strong demand from French local authorities for a reactive tool to support proactive daily management of recreational waters in compliance with the European Bathing Water Directive (2006/7/CE). Technically, Gen-Spot® is based on the specific quantitative detection of Escherichia coli and intestinal enterococci RNA. This patented method targets specific taxonomic markers to accurately discriminate between these two fecal contamination indicators, which are currently recognized as the primary bacterial parameters by regulatory frameworks. By directly targeting bacterial RNA, this approach enables sensitive quantification of viable and viable but non-culturable (VBNC) populations while excluding dead cells. The workflow relies on direct molecular analysis, including RNA extraction and RT-qPCR steps, enabling rapid result delivery and reducing the time-to-result to approximately 3 hours. It has been validated across diverse environmental matrices, including marine beaches, freshwater lakes and rivers. Its deployment along the French coastline, from the North Sea to the Mediterranean Sea, demonstrates its adaptability to a wide range of challenging environmental conditions. Performance has been systematically evaluated against standardized culture-based methods to ensure robustness.  Operationally, Gen-Spot® enables real-time management of recreational waters, as demonstrated by the summer monitoring of 11 to 40 sites sampled daily along the French Basque coast (approximately 2,800 to 3,500 analyses from the May to September). Combined with hour-by-hour forecasting tools and AI-based algorithms, this approach provides key decision support for local stakeholders to protect public health, by opening or closing the swimming zone at the right moment.  Overall, Gen-Spot® represents a major step toward more proactive and reliable management of recreational waters, integrating molecular innovation with regulatory requirements.
 

Audrey Commault picture
Audrey Commault
October 29, 2026 at 1:40 PM — October 29, 2026 at 2:00 PM

Beach managers face a structural timing problem: culture-based E. coli methods require 18–24 hours, meaning today's notification decisions rest on yesterday's water. This presentation shares peer-reviewed field validation results (Water Research, 2026) from a continuous, in-situ tryptophan-like fluorescence (TLF) sensor deployed across twelve sites on two continents — including Cleveland's Euclid Creek, the Chicago Calumet River, Boston-area waters, Boulder Creek, and the Seine in Paris during the 2024 Olympics swim season. Paired against EPA-approved Colilert and membrane filtration, a machine learning model achieved a 19% mean absolute percentage error on temporally held-out data spanning more than four orders of magnitude, with binary classification at the Paris bathing-water threshold exceeding 90% balanced accuracy. We discuss what continuous TLF can and cannot do for beach programs, how it complements rather than replaces culture-based methods, and operational realities including biofouling, calibration drift, and integration with existing notification workflows. The session closes with preliminary observations from the next-generation v1.2 sensor — featuring improved photomultiplier sensitivity plus onboard temperature and turbidity compensation — and implications for state, tribal, and local beach programs evaluating continuous microbial monitoring within BEACH Act and risk communication frameworks.

Abstract: Recreational water quality programs face a structural timing gap. Conventional regulatory methods for fecal indicator bacteria — membrane filtration and IDEXX Colilert — require 18–24 hours of laboratory incubation before results are available. By the time today's E. coli value is reported, the contamination event has typically passed and the swimmers exposed to it have already gone home. Same-day beach advisories and closures are made on the basis of yesterday's water, which both under-protects public health during fresh contamination events and over-restricts access when conditions have already recovered. Tryptophan-like fluorescence (TLF) is an optical signal whose intensity correlates with microbial-associated organic material in water. Continuous in-situ TLF measurement offers a pathway to near-real-time microbial water quality information — not as a regulatory replacement for culture-based methods, but as a screening and decision-support layer that informs notification timing, sampling prioritization, and public communication. This presentation reports peer-reviewed field validation results (Knopp et al., Water Research, 2026; DOI 10.1016/j.watres.2026.126099) from internet-connected TLF fluorimeters deployed at twelve recreational and source water sites across two continents: Boulder Creek (CO), the Calumet River (Chicago), Euclid Creek (Cleveland), the Charles River and Manchester Bay (Boston area), and three swimming docks on the Seine in Paris during the 2024 Olympics. Sensors reported continuously via cellular network. A total of 661 paired grab samples were analyzed by EPA-approved membrane filtration and IDEXX Colilert. Under controlled conditions, the sensor demonstrated sub-ppb tryptophan sensitivity, with reproducible inter-sensor agreement and reliable discrimination between 0.1 and 0.5 ppb (p = 0.0002) — performance that exceeds the manufacturer-stated detection limits of widely deployed commercial TLF instruments. Field deployments showed strong quantitative agreement with laboratory E. coli measurements: over 75% of bench-scale predictions fell within the analytical uncertainty bounds of the Colilert reference method (per-sensor R² = 0.77–0.84; MAPE = 13–15%). A globally trained gradient-boosted model spanning all twelve sites achieved RMSE of 0.59 log units and MAPE of 19% on a temporally held-out test set covering more than four orders of magnitude of E. coli concentration. Binary classification at the Paris bathing-water threshold of 900 CFU/100 mL exceeded 90% balanced accuracy on time-blocked holdout data. The presentation addresses three questions of direct relevance to beach program managers. First, what does sub-20% MAPE and >90% threshold-classification accuracy mean in practice for a notification program — where does it add value, and where do its limitations matter? Second, how should continuous TLF data be integrated alongside culture-based monitoring, predictive models, and sanitary survey workflows? Third, what does realistic operational deployment look like, including biofouling mitigation, calibration cadence, and integration with public-facing notification systems? We close with preliminary results from the next-generation v1.2 sensor, which incorporates a higher-sensitivity silicon photomultiplier and onboard turbidity and temperature compensation — addressing the primary sources of residual prediction error identified in the published study — and a discussion of pathways for state, tribal, and local beach programs interested in continuous microbial monitoring within their existing regulatory and risk communication frameworks.
 

Alex Johnson picture
Alex Johnson
October 29, 2026 at 2:00 PM — October 29, 2026 at 2:20 PM

Why are we still testing yesterday’s water? Bactiquick, the ‘lab in your pocket’, allows near real-time bacterial water quality data providing a new level of environmental insight. This session describes the development of a new App to utilise the accumulation of real-time data from multiple locations to produce water quality maps and trends forming a ‘Water Intelligence Network’ (WIN). Combining this data with environmental signals (tides, weather, storm overflows) using an AI platform will move the WIN from showing observed results to predicting risk. 

Abstract: Bactiquick provides near real-time bacterial water quality risk assessment with data accessed on an App via Bluetooth. Bactiquick is increasingly being used by water companies, community groups and universities in the UK, US and Europe providing an accumulation of water quality data. The development of Bactiquick pro with calibration modes, kinetic assay workflows and enhanced memory has allowed development of a new App that combines water quality data with additional geographical data. This has produced features including water quality maps and trend data. The data provides a ‘Water Intelligence Network ‘(WIN) to be developed. The model is being tested daily at flagship sites in the UK, US and Europe building evidence across coastal, inland and wastewater environments. Data from this network will be described. Building on this data, we are moving beyond showing observed results to a risk prediction model. This is being done by combining the water quality data with environmental signals such as tides, weather, storm overflows using an AI platform.  Each new reading will improve the accuracy of the model and Initial data from the predictive model from 3 live pilot studies will be demonstrated. Trends of data on a beach allows us to see how certain beaches trend over the last 30 results or the last 30 days. Predictive modelling will take us on a journey from yesterday’s water to today’s water to tomorrow’s water.
 

Matthew Senior picture
Matthew Senior
October 29, 2026 at 2:20 PM — October 29, 2026 at 2:40 PM

For goal 1, we will present how optical brighteners have been used by researchers in formal (peer-reviewed publications) and informal (e.g., citizen science) settings. For goal 2, laboratory methods included controlled experiments using of known household detergents to determine method sensitivity. Field work included comparing water samples from a small West Michigan watershed for optical brighteners, Colilert- 18™ and a molecular based method (ddPCR) for human DNA markers (HF183). 

Abstract: Culture based methods, such as Colilert- 18™, have been the routine water quality testing method for microbial contamination for over 25 years, but are non-specific for human waste and require an extended incubation time; meaning, the results are reported the day after exposure to contaminated water may have occurred. Molecular-based methods, such as qPCR and ddPCR, can provide same day results and can be used to identify human-specific sources of contamination, however they require a significant investment in equipment, laboratory infrastructure, and are considerably more challenging to implement. Recently the use of optical brighteners, a cost-effective alternative method, has shown promise as an initial screening tool for the presence of human pathogen markers in environmental samples. Optical brighteners are synthetic compounds used in laundry detergents to make white materials whiter, and color materials look brighter, when exposed to the sun. Detergents and water from laundering clothes end up as components of sanitary wastes. A simple, inexpensive to use handheld fluorometer can be used in the field to detect the presence of optical brighteners in lakes and streams. These brighteners can serve as indicators of leaks in wastewater collection systems and/or problems with septic tanks. The goals of this presentation are to 1) provide a critical review of optical brighteners as a screening tool; and 2) discuss recent results from our laboratory and field studies where optical brighteners have been utilized.  Methodology For goal 1, we will present how optical brighteners have been used by researchers in formal (peer-reviewed publications) and informal (e.g., citizen science) settings. For goal 2, laboratory methods included controlled experiments using of known household detergents to determine method sensitivity. Field work included comparing water samples from a small West Michigan watershed for optical brighteners, Colilert- 18™ and a molecular based method (ddPCR) for human DNA markers (HF183).  Key Findings Optical brighteners have been used successfully in both formal and informal settings as a screening tool for human waste. In the laboratory significant linear relationships were observed for a variety of household detergents. In the field we observed significant correlations between both E. coli and optical brighteners, as well as optical brighteners and HF183.  Conclusion Optical brighteners can serve as an effective and budget friendly screening tool for human waste.
 

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Brian Scull

Community Engagement

Track 2 Breakout Sessions - 1:00 - 2:40 p.m.
(Location: Delamar)

October 29, 2026 at 1:00 PM — October 29, 2026 at 1:20 PM

This session presents a long-term, place-based approach to integrating environmental monitoring with public communication to improve beach health outcomes in the Great Lakes region. Using over two decades of water quality monitoring from Racine, Wisconsin, the City of Racine Public Health Department developed intentionally designed, community-facing report cards that translate complex environmental data into accessible information. These tools are embedded within a broader communication system that includes daily beach status updates, public service announcements, and community engagement, all designed to build trust, support informed behavior, and strengthen environmental governance. The session highlights how this integrated model connects scientific credibility, communication strategy, and community partnerships to drive measurable improvements in beach conditions and public use. This approach offers a replicable framework for translating environmental data into action across coastal and freshwater systems.

Abstract:The Great Lakes region is defined by its water, where public health, ecological health, and community identity converge. Yet the connections between community behavior and the health of local beaches, rivers, and natural areas remain poorly understood by the people who use them most. In practice, this is often a failure of communication rather than a failure of public will. Closing this gap requires credible science, accessible materials, and sustained community relationships that move people from understanding to action. North and Zoo Beaches in Racine, Wisconsin receive approximately 200,000 visitors annually, making beach health both a public health and equity priority. These beaches are part of a natural area supporting 89 native plant species and more than 190 documented bird species. The City of Racine Public Health Department has monitored these waters for more than two decades and was among the first in the country to implement standardized qPCR testing and Beach Sanitary Surveys, while also maintaining a sustained commitment to water quality, habitat restoration, and public access. The department’s North and Zoo Beaches and Root River Report Cards translate years of monitoring into intentionally designed, community-facing tools that make complex data understandable and present beach health holistically, integrating water quality, habitat conditions, public use, and climate-driven environmental change. These report cards are one component of a broader communication system that translates scientific monitoring into accessible, repeated public information, building trust, enabling informed behavior, and supporting local environmental governance. This communication system includes multiple formats designed to close the gap between data and public understanding and to inform on-the-ground action. In cooperation with the City’s Parks Department, a daily beach status system integrating water quality results, wave conditions, and lifeguard reports was implemented. Communication efforts also include vintage-style public service announcements linking resident behaviors directly to beach closures and community presentations designed as two-way exchanges that shape program direction. Partnerships with the Great Lakes Community Conservation Corps, Weed Out! Racine, and the Root River Council support public access improvements, habitat restoration, and invasive species management that form the ecological foundation of a healthy beach. A partnership with the Racine Yacht Club enables beneficial reuse of dredged material at North Beach, advancing restoration goals while reducing disposal costs. The department serves as a central resource for water quality information and education grounded in local data, designed to reach audiences from first-time beach visitors to policymakers. North Beach, once characterized by persistent advisories and unknown contamination sources, is now consistently ranked among Wisconsin’s top swimming destinations, an outcome reflecting decades of sustained investment in monitoring, restoration, and community trust. When scientific credibility, intentional communication, and strong community partnerships work together, public health agencies can move beyond monitoring and notification to active stewardship. This approach offers a replicable path from local data to community action, grounded in the places and people it serves.
 

Adrian Koski picture
Adrian Koski
October 29, 2026 at 1:20 PM — October 29, 2026 at 1:40 PM

Canada geese contribute to elevated E. coli levels at public beaches, posing human health risks and triggering closures. While natural shorelines improve water quality and habitat, these benefits alone do not always motivate public action. In fall 2025, the Watershed Council paired a shoreline restoration project with a reframed outreach message, “Block the Flock,” linking vegetation to goose deterrence, beach access, and public health. This approach generated strong community interest despite modest event attendance. The project demonstrates how strategic messaging can increase engagement by connecting ecological practices to visible, locally relevant outcomes.

Abstract: Canada geese are a persistent presence on public beaches, but their impacts extend beyond aesthetics to measurable human health risks. Fecal contamination from geese contributes to elevated E. coli levels, which can trigger beach advisories and closures under full body contact recreation standards. Natural shorelines provide well documented ecological benefits, including improved water quality and habitat protection, messages long promoted by watershed organizations. However, these benefits alone do not consistently drive public engagement or behavior change. In fall 2025, the Watershed Council implemented a natural shoreline restoration project at a public beach with a history of E. coli related advisories. Funded by the Michigan Department of Environment, Great Lakes, and Energy Nonpoint Source Program, the project included a community outreach event built around a reframed message, “Block the Flock.” This approach emphasized shoreline vegetation as a mechanism to deter geese and reduce bacterial contamination, directly linking restoration actions to beach usability and public health outcomes. Although attendance at the event was modest, community interest and engagement exceeded expectations. The response suggests that reframing environmental restoration around immediate, visible concerns such as beach access and nuisance wildlife can be more effective in generating public attention than traditional messaging focused on water quality alone. This work highlights how changes in messaging and risk framing can influence public engagement with watershed restoration, and it underscores the importance of connecting ecological interventions to outcomes that are locally visible and personally relevant.
 

Lauren Dey picture
Lauren Dey
October 29, 2026 at 1:40 PM — October 29, 2026 at 2:00 PM

This presentation explores the partnership between the Galveston Bay Foundation and Texas Stream Team to integrate IDEXX bacteria monitoring into Texas' statewide community science water quality monitoring program. Attendees will learn how grant funding is supporting the development of a state-approved Quality Assurance Project Plan, standardized laboratory procedures, and volunteer training. The session will also highlight the pathway for approved community science bacteria data to be submitted to the Texas Surface Water Quality Monitoring Information System and used in Texas' Integrated Report. Join us to learn how this collaborative effort is expanding volunteer bacteria monitoring while strengthening statewide water quality assessments.

Abstract: Fecal indicator bacteria remain the leading cause of water quality impairments in Texas, underscoring the need for expanded, high-quality bacteria monitoring. To expand statewide monitoring capacity while maintaining rigorous data quality standards, the Galveston Bay Foundation has developed an IDEXX-based volunteer bacteria monitoring framework that serves as the foundation for integration into Texas Stream Team, the state's community science water quality monitoring program. This presentation will highlight the collaborative effort to integrate the IDEXX monitoring system into the Texas Stream Team program through the development of a formal, state-approved Quality Assurance Project Plan. The partnership will establish standardized laboratory procedures, quality assurance protocols, and training requirements that enable community scientists to collect bacteria data that meet the quality standards necessary for regulatory use. Presenters will discuss how grant funding is supporting the development and implementation of this framework, the roles of each partner, and the phased approach for expanding volunteer bacteria monitoring opportunities across Texas. Once approved, data collected through the Texas Stream Team program will be submitted to the Texas Surface Water Quality Monitoring Information System and become eligible for inclusion in Texas' Integrated Report, creating a direct pathway for community science data to inform statewide water quality assessments and watershed management decisions. Attendees will gain insight into the process of integrating a community science program into a regulatory-quality monitoring framework, lessons learned throughout implementation, and the opportunities this model creates for expanding high-quality bacteria monitoring across Texas. This collaborative approach demonstrates how partnerships between nonprofit organizations and statewide monitoring programs can strengthen environmental data collection while increasing public engagement in water resource stewardship.
 

Aspen Navarro picture
Aspen Navarro
Tiffany Willrich picture
Tiffany Willrich
October 29, 2026 at 2:20 PM — October 29, 2026 at 2:40 PM

Michigan is investing in a once-in-a-generation transformation of its infrastructure and needs a workforce that is ready to meet the moment. Michigan’s vision is to build a strong, robust network of state, regional, and local partners that prepares Michiganders for high-demand infrastructure careers. As the state’s leader in workforce development, LEO is aligning industry, workforce, labor, and community organizations to create a unified, statewide approach to preparing the infrastructure workforce, through the Building Michigan’s Infrastructure Workforce program (the BMIW program).

Abstract: Historic infrastructure investments are underway across Michigan and decisive action is needed to ensure the state has the skilled workforce to deliver these projects, then sustain and manage infrastructure post construction. In April 2024, Governor Whitmer’s ED charged Program Partners to develop a plan addressing this urgent need.
 

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Ahmad Ramadan

Sand Quality and HABs

Track 1 Breakout Sessions - 3:00 - 5:00 p.m.
(Location: Hagerty Center)

October 29, 2026 at 3:00 PM — October 29, 2026 at 3:20 PM

This session explores beach sand as an often-overlooked environmental matrix with relevance for public health protection. It presents findings from a two-year assessment of microbiological contamination in sand from Blue Flag beaches, including fungi and faecal indicator bacteria. The session examines spatial and seasonal patterns and discusses the influence of environmental and human-related factors on sand quality. Results are framed within current beach monitoring practices to highlight existing gaps. The session concludes by considering how sand monitoring could complement bathing water surveillance and support improved coastal management.

Abstract:  There is growing concern about the quality of sand on beaches, as users tend to spend most of their time on the sand rather than in the water. Numerous pathogenic agents have reportedly been isolated from sand, including bacteria, nematodes and opportunistic fungi. The ability of sand to retain pollutants and facilitate the transmission of pathogens raises public health concerns. We analysed sand-monitoring data from the 2024 and 2025 bathing seasons on Blue Flag beaches to find trends and patterns in total fungal counts, enterococci, and E. coli. The values recorded for microorganisms showed considerable variability, which may reflect the possible combined influence of multiple climatic, environmental, and anthropogenic factors contributing to their presence in beach sand. Our findings suggest that the total fungal count on coastal beaches may be influenced by periods of rainfall, which increases the fungal load in the sand. Values recorded from inland beaches vary considerably between beaches which may reflect the influence of local environmental characteristics, particularly vegetation and beach morphology, although the smaller number of inland samples also makes it difficult to define clear patterns and consistent reference values for this parameter. Bacterial indicators may be particularly influenced by occasional anthropogenic disturbances and contamination events. This study adds significantly to the understanding of the microbiological quality of beach sand, encouraging the integration of sand monitoring into environmental surveillance and management programmes.
 

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João Brandão
October 29, 2026 at 3:20 PM — October 29, 2026 at 3:40 PM

Wastewater surveillance is now formally embedded in EU public-health infrastructure under the revised Urban Wastewater Directive (EU) 2024/3019—yet fungi and antifungals remain absent from the default minimum surveillance package, creating a critical regulatory gap, which is not exlusive of the EU. This talk argues for expanding wastewater monitoring to include fungal threats (e.g., Candida auris, Aspergillus fumigatus) and antifungal residues, particularly where treated wastewater is discharged or reused (e.g., irrigation and aerosol exposure pathways). 

Drawing on emerging evidence and operational examples (including hospital catchment monitoring in Lisbon), it outlines a practical, tiered toolbox—qPCR for sensitive detection, culture/AST for recovery and resistance profiling, and sequencing when source attribution is needed. 
Finally, it proposes linking wastewater signals to concrete actions (clinical screening, IPC measures, treatment optimisation, and reuse risk management), using PNEC-based thresholds to prioritise antifungals for monitoring as QMRA evidence matures.

Abstract: November 2024 marked publication of the new EU Urban Wastewater Treatment Directive (2024/3019), proposed by the European Commission in 2022. This update is significant because it formalises wastewater surveillance as a component of routine public-health infrastructure—not merely an emergency tool. It responds to major shortcomings in the 1991 directive, highlighted by uneven implementation, persistent pollution problems, and new scientific knowledge, as well as the COVID-19 pandemic’s demonstration that wastewater can provide early warning of emerging pathogens. While the directive expands routine monitoring and strengthens treatment requirements, fungi and antifungals are not included in the default minimum surveillance package, leaving a clear regulatory gap. Wastewater-based population health monitoring dates back to the 1940s but scaled rapidly during COVID-19 as a complement to clinical testing, enabling surge prediction and healthcare preparedness. The same logic supports early warning and situational awareness for fungal threats and antifungal resistance as a One Health issue, especially given the environmental release and reuse of treated wastewater. Current EU reuse frameworks typically set microbiological criteria such as E. coli but do not explicitly address fungi or antifungal compounds, despite plausible exposure routes through aerosols and irrigation. Because treatment is not always quaternary, effluent discharges and reclaimed water reuse can contribute pathogens and resistance determinants to downstream environments, including crops, drinking-water sources, recreational waters, and aerosolised settings. Throughout the treatment train, microorganisms and antimicrobials can remain in close contact and then enter the environment together, potentially promoting selection and resistance transfer. This strengthens the case for pairing organism surveillance (fungal targets) with “selection-pressure” surveillance (antifungal residues), particularly where reclaimed water is used. Emerging work on antifungal contaminants offers a practical bridge: Predicted No-Effect Concentrations (PNECs) can help prioritise antifungals for monitoring and guide acceptable levels in effluents and reclaimed water. Globally, the Glowacon initiative (since March 2024) has advanced coordinated action and knowledge-sharing, listing Candida auris and Aspergillus fumigatus sensu stricto for environmental wastewater monitoring. Wastewater-based detection of C. auris has demonstrated feasibility using qPCR, with culture/typing where possible, and highlights the value of targeting high-risk sewersheds such as hospital catchments. Hospital wastewater monitoring in Lisbon further illustrates how fungal screening can be operationalised regionally as a pragmatic add-on to the EU minimum package. Proposal: a surveillance agenda aligned with the directive’s intent: (i) pilot fungal monitoring in hospitals and vulnerable sewersheds; (ii) track fungal targets alongside antifungal residues; (iii) apply a tiered toolbox (qPCR for sensitivity, culture for recovery/AST, sequencing when source attribution matters); and (iv) connect wastewater signals to action through clinical screening, infection prevention and control, treatment optimisation, and reuse risk management, building thresholds progressively as QMRA evidence matures.
 

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João Brandão
October 29, 2026 at 3:40 PM — October 29, 2026 at 4:00 PM

Harmful algal blooms caused by Ostreopsis species are an increasing threat to coastal ecosystems and public health, specifically in highly touristic areas. Traditional microscopy-based monitoring is limited in its ability to deliver rapid results and distinguish closely related species with different toxicities, leading to delayed or uncertain detection. Following health incidents linked to Ostreopsis cf. ovata in 2021 on the French Basque coast (Atlantic Ocean), targeted investigations confirmed recurrent blooms in this region. To address these limitations, we developed a rapid and sensitive qPCR-based method enabling species-specific detection and quantification of Ostreopsis cf. ovata and Ostreopsis sp. 9 (formerly known as Ostreopsis cf. siamensis) within four hours. Integrated into an operational monitoring framework, this approach may improve bloom characterization and support new management strategies for health protection.

Abstract: Harmful algal blooms (HABs), caused by toxic benthic dinoflagellates of the genus Ostreopsis, represent an increasing threat to coastal ecosystems and public health worldwide. Conventional monitoring approaches based on light microscopy often fail to reliably discriminate closely related species with contrasting toxicological profiles, resulting in under-detection or misidentification of cryptic bloom events. This limitation, combined with an alert delay of approximately 24 hours, is particularly critical along sensitive coastlines, where summer tourism exceeds millions of visitors and exposure risk is therefore amplified. In this context, Ostreopsis sp. 9 (formerly known as Ostreopsis cf. siamensis) was already known to occur along the Basque shoreline. In 2021, the first detection of the toxic species Ostreopsis cf. ovata coincided with reports of respiratory and dermal irritation among beach users, prompting investigations into the occurrence and composition of Ostreopsis blooms in the area. These recurrent health events led to targeted surveys that confirmed the presence of Ostreopsis blooms, including Ostreopsis cf. ovata. In response, a molecular surveillance strategy based on quantitative PCR (qPCR) was developed and optimized for the specific detection and quantification of O. cf. ovata and Ostreopsis sp. 9 in environmental matrices. The assay targets the rDNA region and enables rapid (4 hours), highly sensitive and species-resolved detection that complements and extends classical microscopy-based monitoring. In this presentation, we present an operational qPCR workflow integrated into a monitoring framework designed to resolve cryptic bloom dynamics and improve the discrimination of co-occurring Ostreopsis taxa. This approach provides refined insights into temporal and spatial species succession and supports the identification of environmental drivers associated with bloom development. This patented 4 hours-methodology constitutes a significant advance in the operational monitoring of toxic benthic microalgae, with direct applications for coastal risk management (beach closures), public health protection and ecosystem resilience.
 

Audrey Commault picture
Audrey Commault
October 29, 2026 at 4:00 PM — October 29, 2026 at 4:20 PM

With more than 10,000 water bodies, Michigan is a water wonderland. Learn about how State of Michigan agencies respond to harmful algal blooms (HABs) in the state’s waters and how beach managers can play an integral role in HABs response. The presentation will provide an overview of the program, discuss what we know about HABs in Michigan and their health impacts, and explore the resources available to support protecting public health. We will end with a discussion of the audience’s experiences with HABs in their work.

Abstract: This presentation will provide an overview of cyanobacterial harmful algal blooms (HABs) in Michigan and review HAB reports and associated illnesses since 2015. Impacts on human and animal health, plus best practices for avoiding negative impacts will be explored.  With more than 10,000 lakes and 300 named rivers in the state, Michigan has worked hard to prioritize protection of public health while conserving agency resources when responding to blooms. The State of Michigan’s Interagency HABs Workgroup (a collaborative effort of the Michigan departments of Health and Human Services, Environment, Great Lakes, and Energy, Agriculture and Rural Development, and Natural Resources plus local health departments) response structure will be presented as well as partner contributions. Finally, we will review State of Michigan and partner resources available to support HABs communication and engagement. We will end with an open discussion of the audience’s experiences with HABs in their work, asking for input on gaps in resources, knowledge and engagement. 
 

Sarah Scheitler picture
Sarah Scheitler
October 29, 2026 at 4:20 PM — October 29, 2026 at 4:40 PM

Microcystin exposure at recreational beaches is often evaluated through water monitoring alone, but beach users and workers may encounter cyanotoxins through additional pathways. This presentation will highlight two emerging exposure routes at Lake Erie beaches: inhalation of aerosolized microcystin and contact with contaminated foreshore sands affected by beach grooming. Nasal swab monitoring showed that microcystin can be detected in workers during bloom conditions, while paired sand sampling showed that mechanical grooming may redistribute microcystin containing organic material across the foreshore. Together, these findings suggest that beach health risk assessments should consider water, air, and sand as connected exposure environments.

Abstract: Microcystin (MC) in recreational beach environments remains understudied, particularly where aerosol exposure and shoreline management might influence human health risk. Human exposure to MC at recreational beaches is often evaluated through water monitoring alone, but multiple factors, including aerosolization and beach management practices, can result in novel routes of MC exposure.  The potential for inhalation exposure to aerosolized MC was determined by collecting nasal swabs throughout a bloom season from a cohort of workers consistently in contact with impacted Lake Erie waters. The MC mass on each swab was determined using Enzyme-Linked-Immunosorbent-Assays (ELISA) and showed that patterns of nasal MC concentrations typically trends observed in the water, increasing as the bloom progressed, and decreasing as the bloom subsided.  Nasal MC masses ranged from below the detection limit to 5.3 ng per participant, while MC concentrations in water MC ranged from below detection to 18.5 ng mL-1.  While our results demonstrate that aerosolized MC can be an exposure risk, recent work also suggests that beach sands can serve as a sink for MC containing cyanobacterial material. Beach management typically includes algal wrack removal through mechanical grooming, which can potentially alter the distribution of MC-contaminated organic material across the foreshore. Therefore, paired, foreshore sand samples collected from Maumee Bay State Park Beach (Oregon, Ohio) before and after grooming were analyzed for MC concentration (ELISA) and organic matter content to determine how beach management impacts distribution of MC and organic matter in foreshore sands.  Results showed that 80% of post-groom samples contained higher MC concentrations than paired pre-groom samples, with 60% of samples approaching nearly two-fold greater MC concentrations after grooming. Organic matter content was 53% lower, on average, after grooming, but also more spatially homogeneous, indicating redistribution of algal wrack across the beach surface rather than complete removal.  Together, these findings indicate that the potential for MC exposure extends beyond primary water contact and that both aerosol exposure and shoreline management practices should be considered when evaluating recreational beach health risks and beach management strategies.
 

Garrett Moots picture
Garrett Moots

Community Engagement

Track 2 Breakout Sessions 3:00 - 4:40
(Location: Delamar)

October 29, 2026 at 3:00 PM — October 29, 2026 at 3:20 PM

Every Michigan coastal community is unique, and has assets worth protecting. In 2025 the Van Buren Conservation District conducted coastal resilience outreach and education in Van Buren County (VBC) coastal communities. Through planning a successful "Dune Day" event, developing a multi-faceted library display, designing an educational mailer, building relationships with local leaders, and attending municipal meetings to garner community input, we always kept our intended audience at the forefront of our minds. As is the case with most Michigan coastal communities, VBC's audience is diverse to say the least. This presentation will focus on some of the key coastal resilience take-aways we learned through our project research, and the steps we took to ensure our efforts were accessible to ALL of our residents.

Abstract: In 2025 the Van Buren Conservation District conducted coastal resilience outreach and education in Van Buren County (VBC) coastal communities. Through planning a successful ""Dune Day"" event, developing a multi-faceted library display, designing an educational mailer, building relationships with local leaders, and attending municipal meetings to garner community input, we always kept our intended audience at the forefront of our minds. As is the case with most Michigan coastal communities, VBC's audience is diverse to say the least. This presentation will focus on some of the key coastal resilience take-aways we learned through our project research, and the steps we took to ensure our efforts were accessible to ALL of our residents.     Some research-based, coastal resilience-strengthening actions we may encourage coastal leaders to share with their communities include: businesses adopting heat safety protocols for their employees who work outdoors as summers continue to get hotter, building away from shorelines and reducing impervious surfaces, maintaining septic systems, avoiding invasive plants and planting native plants instead, enrolling in conservation easements, volunteering and participating in local decision-making, making emergency prevention/response plans if your home is close to the shore, staying on trails while hiking, cleaning boats between water bodies, and planting cover crops and avoiding tilling. We may also touch on some of the realities of coastal defense structures, acknowledging pros, cons, and potential alternative options.     The second part of the presentation will focus on the steps we took to successfully conduct outreach and education to a broad audience. VBC’s coastal communities are diverse, with varying socioeconomic levels, ages, education backgrounds, and a large population of spanish-speakers. We tried to reach this wide array of people in a few different ways.1) We gathered community feedback/ideas by connecting with local leaders and speaking at local municipal meetings. 2) We made spanish versions of our educational materials widely available. 3) We utilized Hemingway Editor (free online tool), and went through an extensive editing process internally, to develop educational materials that were readable and accessible to a broad audience. 4) Lastly, we advertised our events in multiple ways because we understand that not everyone gets their news the same way."
 

Jena Johnson picture
Jena Johnson
October 29, 2026 at 3:20 PM — October 29, 2026 at 3:40 PM

The Michigan Coastal Management Program and Michigan State University Coastal Processes and Geomorphology Lab are collaborating to launch a community science program that engages Michigan coastal communities in collecting data for education and management. A pilot project with the Bridgman Coastal Resiliency Committee at Weko Beach focuses on monitoring beach and foredune recovery following high lake levels between 2013 and 2020. After significant erosion during peak water levels, the beach has widened and dunes are beginning to reform, creating an opportunity to study recovery processes. Community members collect elevation data using Apple LiDAR and Ground Control Points, enabling repeated mapping and analysis of changes over time. Initial results from late 2025 to early 2026 show measurable sand deposition driven by winter winds, demonstrating both dune recovery and the effectiveness of this community-based research approach.

Abstract:The Michigan Coastal Management Program (MCMP) and the Michigan State University (MSU) Coastal Processes and Geomorphology (CPG) Lab are partnering to launch community science opportunities in coastal communities throughout Michigan over the next several years. The overall aim of this program is to work with coastal communities to co-produce data that are useful to the community for educational purposes and/or for management decisions. Our team is currently partnering with the Bridgman Coastal Resiliency Committee on a pilot project at Weko Beach in Bridgman, MI. The aim is to work with the community to collect data on beach and foredune recovery after high water levels and help them understand the unique coastal processes for their beach. Prior to the high lake levels of 2013-2020, the foredunes on the south end of Weko Beach extended much further lakeward (~20-40 m). As water level rose to a peak in 2020, the dunes were inundated with water and subjected to wave erosion. Now that water level has lowered, the beach has widened, and the foredune has begun to recolonize the bare sand, creating an opportunity to monitor dune rebuilding. By periodically mapping the elevation of this area, we can discern the conditions that lead to dune recovery, which will provide important insight into the resilience of these systems and how best to preserve them in the future. Elevation data are collected with Apple Lidar by scanning the study area with an iPad. The LIDAR uses a laser to collect elevation measurements that can then be used to create a digital model of the site. Ground Control Points (GCPs), which are black and white tiles affixed to metal poles are placed before each survey. The position and elevation of these GCPs were surveyed with a GPS at the beginning of the project and are then used to reference our LIDAR data to real geographic coordinates. By placing these semi-permanent GCPs, we can process any LIDAR data collected with the iPad by community members without having to survey in new GCPs each time. Mapping the survey site many times throughout the year allows us to compare maps and find changes in elevation (gain or loss of sand). Members of the Bridgman Shoreline Committee have been trained to collect Apple Lidar data and send it back to the MSU team for processing.  The initial Apple LIDAR survey took place on October 27, 2025, and then the community volunteer mapped the site again on March 9, 2026. These scans were processed into Digital Elevation Models (DEM), which were then subtracted to detect elevation changes. Between 10/27/2025 and 3/9/2026 positive elevation change occurred at the site which indicates deposition of sand around the dune grasses. Deposition of sand throughout the site ranged from 0.25-0.4 m and can be attributed to strong onshore winds during the winter. This initial year of data collection confirmed the benefits of the community science-based approach for promoting coastal resilience by stimulating relationships and generating datasets that address fundamental coastal science questions.
 

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Ethan Theuerkauf
October 29, 2026 at 3:40 PM — October 29, 2026 at 4:00 PM

The session will provide an overview of the annually hosted Lake Erie Awareness Day celebration created to support family-friendly, environmental education-driven tourism to the Lake Erie islands. Partnership development, media engagement, and event marketing lessons learned will be shared. Event activities for diverse audiences will be highlighted in this session along with strategies for large-scale education-focused event execution.  

Abstract: Lake Erie Awareness Day (LEAD) was founded to support family-friendly and proenvironmental science-driven tourism to South Bass Island, Ohio. Started in 2021, with funding support from the National Oceanic and Atmospheric Administration Marine Debris Program and the Center for Great Lakes Literacy, LEAD highlights the important work of island environmental, historical, and cultural education partners while fostering hands-on, community-engaged Great Lakes Environmental Literacy programming. The event, part of the Island’s Green Week, has grown to include dozens of statewide and regional education partners, island businesses, and tourism bureaus. Hundreds of people visit the Island each year specifically to attend the annual LEAD festivities. Now in partnership with Ohio Department of Natural Resources Division of Wildlife, Ohio Sea Grant and The Ohio State University Stone Laboratory have grown the event through increased media coverage, event sponsorship, and participation from interested education, business, and tourism entities. This session will provide an overview of how to use tourism activities to foster Great Lakes Environmental Literacy education and outreach programming in coastal areas. Strategies for media engagement, marketing tips, and partnership and sponsorship development will be highlighted. Science-based educational activities, appropriate for all ages, in diverse teaching environments, will be shared.  
 

Jill Bartolotta picture
Jill Bartolotta
October 29, 2026 at 4:00 PM — October 29, 2026 at 4:20 PM

The Beaches Environmental Assessment and Coastal Health (BEACH) Act, enacted by Congress in 2000, aims to protect public health in coastal recreational waters. The Texas Beach Watch (TBW) program of the Texas General Land Office currently monitors water quality for Enterococcus bacteria at over 172 beach sites. To enhance public accessibility and decision-support capabilities, an interactive statewide AI-enabled Enterococcus predictor (ePredictor) was developed, deployed, and evaluated. The development process and features will be presented, including an introduction to the heat map for displaying high-alert locations in real time, along with linear plots of observed data and model predictions. 

Abstract: The Beaches Environmental Assessment and Coastal Health (BEACH) Act, enacted by Congress in 2000, aims to protect public health in coastal recreational waters. The Act established uniform criteria for testing, monitoring, and notifying the public of potential coastal recreation water issues. It further mandates that states, in collaboration with the Environmental Protection Agency (EPA), develop and implement programs to monitor coastal recreation waters adjacent to public beaches for pathogens and pathogen indicators, and to notify the public if water quality standards are exceeded. In July 2001, the Office of the Governor designated the Texas General Land Office (GLO) as the lead state agency for implementing the BEACH Act's provisions in Texas, building upon the existing Beach Watch Program. Initiated in the late 1990s, this program began as a water-quality monitoring initiative funded by the Coastal Management Program. The Texas Beach Watch (TBW) program currently monitors water quality for Enterococcus bacteria at over 172 beach sites. After the successful development, deployment, and evaluation of the AI-enabled Enterococcus predictor (ePredictor) in 2024, the GLO and the Harte Research Institute at Texas A&M University–Corpus Christi expanded the system for statewide operational use. To enhance public accessibility and decision-support capabilities, an interactive statewide heat map was developed to display high-alert locations in real time, accompanied by linear plots of observed data and model predictions. The ePredictor is accessible from the project site (https://enterococcus.today) and from app stores (ePredict). Using statistical analyses, several models were developed and employed to predict forward. It was clear that no single model performs best across all sites and seasons. Model performance monitoring continues, and when required, the models are adjusted to improve performance. This presentation summarizes the development phases, publication, and performance of the AI and machine learning (AI/ML) model underlying ePredictor. The ePredictor serves as an additional tool to expedite the dissemination of beach water-quality information to agencies and stakeholders.
 

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Sathwika Edama
October 29, 2026 at 3:20 PM — October 29, 2026 at 3:40 PM

Three years of field work with volunteers across the Lake Erie watershed, testing whether Roth R-Cards can give communities a reliable, affordable way to check if their local swimming spots can make them sick. We've compared results against established lab methods with partners at Niagara College, McMaster, and Swim Drink Fish, and learned a lot about what works in real-world conditions. The short version: community scientists can generate meaningful E. coli data at beaches nobody else is watching, and we're here to share what we've learned.

Abstract: Millions of Canadians swim at beaches, rivers, and informal swimming spots that nobody monitors. When formal monitoring programs are stretched thin, communities are often left guessing about whether the water is safe. Over the past three years, Water Rangers’ Lake Erie Guardians program has been working on a practical answer to that problem. We've been developing, field-testing, and validating a community-based E. coli monitoring approach using Roth Biosciences R-Cards, a low-cost tool that volunteers can use with a small incubator and basic field equipment. Our goal isn't to replace accredited labs or formal beach programs. It's to give communities a credible, affordable screening method that can help them answer the question they're actually asking: "Should I be worried about swimming here?" We've tested both the 1 mL and 3 mL R-Card formats, working through sampling protocols, incubation procedures, result interpretation, quality assurance, and training materials with real volunteers in real conditions, including rural and remote communities with no access to lab facilities. Partners at Niagara College, McMaster University, and Swim Drink Fish helped us compare R-Card results against IDEXX Colilert and IDEXX Tecta across a range of contamination levels and environmental conditions. This presentation shares what we've learned: where R-Cards perform well, where they have limits, how volunteers responded to the protocols, and what it actually takes to build a community microbial monitoring program from the ground up. We'll talk through the practical stuff too, like challenges we didn't anticipate and how we worked through them. Community science can't replace formal beach monitoring. But it can find the gaps, flag potential problems, prioritize sites for further investigation, and put communities in a position to advocate for cleaner water. In a region where so many swimming spots go unwatched, that matters.
 

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Gabrielle Parent-Doliner

Remediation and Mitigation

Plenary Session (Location: Hagerty Center)

October 30, 2026 at 9:00 AM — October 30, 2026 at 9:20 AM

Abstract:  This presentation highlights the range of projects The Watershed Center Grand Traverse Bay (TWC) has implemented over the past 15 years to reduce bacterial contamination and to protect public health at local beaches. Using long-term bacterial monitoring data as a foundation, TWC has partnered with waterfront communities along Grand Traverse Bay to design and install green infrastructure and nature-based solutions that address polluted stormwater before it reaches nearshore waters. The presentation also provides a detailed case study of recent installations in the Village of Northport, a small coastal community on Grand Traverse Bay.  Located in northwest lower Michigan, the Grand Traverse Bay region is known for its high-quality natural resources and abundant public beaches. However, increased development and associated stormwater runoff have caused elevated levels of harmful bacteria at some local beaches after rain events, occasionally resulting in temporary beach closures. For more than 25 years, TWC has monitored bacteria levels at local beaches, using these long-term data to identify contamination trends and prioritize hotspots where targeted mitigation would most effectively protect public health.  These monitoring efforts have guided TWC’s partnerships with multiple waterfront communities along Grand Traverse Bay to improve water quality and protect public health at local beaches. Using a combination of federal, state, and private grant funding, TWC has implemented projects in the City of Traverse City and the villages of Northport, Suttons Bay, and Elk Rapids. These projects use green infrastructure and nature-based solutions – including rain gardens, infiltration trenches, bioswales, and storm tree boxes – to capture, filter, and infiltrate stormwater carrying harmful bacteria. Together, these projects prevent more than 80 million gallons of stormwater a year from entering the bay and impacting recreational water quality.  A focal point of the presentation is TWC’s recent work in the Village of Northport. In 2018 and 2024, TWC partnered with the village to address stormwater coming from two priority areas that were negatively affecting the community’s main public beach and causing periodic beach closures. With funding from EPA’s Great Lakes Restoration Initiative, TWC installed underground infiltration trenches along Nagonaba Street in front of the village office and in the local high school parking lot. Additionally, 6 street tree boxes were installed along Nagonaba Street and four rain gardens were installed at strategic locations. Together, these projects prevent more than 2.9 million gallons of stormwater annually from reaching Grand Traverse Bay.  The Watershed Center Grand Traverse Bay is a nonprofit organization based in Traverse City, Michigan whose mission is to advocate for clean water in Grand Traverse Bay and protect and preserve the Bay's watershed.  
 

Sarah U'Ren picture
Sarah U'Ren
October 30, 2026 at 9:20 AM — October 30, 2026 at 9:40 AM

Ottawa County's Lake Michigan beaches consistently demonstrate strong water quality. Decades of routine E. coli monitoring have confirmed background levels typically ranging from 10 to 50 CFU and frequently near zero, well within safe swimming standards. That baseline made an unexpected discovery all the more significant. When the U.S. Army Corps of Engineers conducted dredging operations at the mouth and channel of the Grand River in Grand Haven, Ottawa County's monitoring data captured dramatic and reproducible spikes in E. coli at nearby beach locations, revealing a contamination source that existing federal testing protocols were not designed to detect. This session explores what Ottawa County found, why it was unexpected, and what it might mean for recreational water quality at other Great Lakes and coastal communities where similar federal dredging operations occur regularly. It also details the interagency partnership that emerged from the data and the practical implications for local beach monitoring programs nationwide.

Abstract: Ottawa County's Lake Michigan beaches consistently demonstrate strong water quality. Decades of routine E. coli monitoring have confirmed background levels typically ranging from 10 to 50 CFU and frequently near zero, well within safe swimming standards. That baseline made an unexpected discovery all the more significant. When the U.S. Army Corps of Engineers conducted dredging operations at the mouth and channel of the Grand River in Grand Haven, Ottawa County's monitoring data captured dramatic and reproducible spikes in E. coli at nearby beach locations, revealing a contamination source that existing federal testing protocols were not designed to detect. This session explores what Ottawa County found, why it was unexpected, and what it might mean for recreational water quality at other Great Lakes and coastal communities where similar federal dredging operations occur regularly. It also details the interagency partnership that emerged from the data and the practical implications for local beach monitoring programs nationwide.
 

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Adrienne Masterson
Spencer Ballard picture
Spencer Ballard
October 30, 2026 at 9:40 AM — October 30, 2026 at 10:00 AM

Abstract: Started in 2022, with funding support from Meijer Incorporated and The Council of the Great Lakes Region, The Watershed Center Grand Traverse Bay, Michigan and Ohio Sea Grants, and many other regional partners received two trash removal devices. One focused on removing trash from beaches and the other targeted to skim the water’s surface to remove trash. With the equipment being newer technology, project partners developed data collection methods, best management practices for equipment operations, transport, and maintenance as well as developed education and outreach initiatives for the highly visible equipment. In this presentation we will discuss the effectiveness and feasibility of using remote-controlled robotics technology to remove trash from beaches and waterways. Michigan partners will present data on waste collection findings and highlight the benefits and barriers to utilizing these types of trash removal equipment in northern Michigan. To better support Ohio Sea Grant’s efforts in this project, the Beach and On-water Trash Trapping Tech Team for Lake Erie (BOTtttle) was developed. A partnership between Ohio Sea Grant and Cuyahoga Community College’s Youth Technology Academy (YTA), the program, supported with funding from the National Oceanic and Atmospheric Administration Climate-Ready Coasts Program, Bipartisan Infrastructure Law, works with underserved and underrepresented high school students in the Cleveland area to offer educational programming and workforce development opportunities in the STEM disciplines. We are working together to engage Cleveland youth in Lake Erie stewardship activities, introduce them to the water quality issue of marine debris in their local community, and utilize their expertise with robotics to effectively operate and manage trash removal technologies. Students receive relevant job training and field experience in the rapidly growing blue/water economy and marine debris removal technologies sector. In addition to robotics care, operation, and maintenance, students support waste characterization efforts to learn more about data collection, monitoring, and management protocols. Interactive programming engages youth with their coastal environment empowering them to care for their coastal areas and drinking water sources. 

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Christine Crissman
October 30, 2026 at 10:00 AM — October 30, 2026 at 10:20 AM

The Great Lakes Business Network (GLBN) is an inclusive and influential business network that advocates for thriving ecosystems, economies, and communities in the Great Lakes Region. Join this session to learn more about the GLBN model, which can be replicated nationwide to leverage business brand power for natural resource conservation. This session will take a closer look at the GLBN microplastics campaign, a case study that demonstrates the impact businesses can have in protecting our nation’s treasured beaches and solution-oriented tactics that businesses are embracing to defend natural resources and protect their bottom line.
 

Abstract: The GLBN is a coalition of more than 200 business leaders frome of the most pressing threats to the Great Lakes and treasured beaches, including the Line 5 pipeline, harmful algal blooms, microplastics, and climate change. The health of the Great Lakes is integral to regional businesses that focus on outdoor recreation; they rely on the lakes for fishing, surfing, scenic tours, and much more.  This session will take a closer look at the GLBN’s campaign to address microplastics in the Great Lakes providing a model for business engagement that can be replicated nationally. Through this session, GLBN aims to educate attendees about urgent threats the Great Lakes, and tactics businesses are using to address the threats that jeopardize their communities, coastal spaces, and their bottom line. The GLBN microplastics campaign is the product of an 18 month collaborative planning project, co-created with GLBN member businesses, regional policy experts, University of Michigan graduate researchers and staff. Through this campaign, GLBN businesses are implementing best business practices to “turn off the tap” on plastics, activating their customer networks with public education strategies, and elevating their business stories with decisionmakers to affect policy change system wide.   The GLBN is non-partisan, fact-based, and committed to solutions-oriented advocacy. We believe this conference would provide a powerful opportunity to share our mission and connect with like minded organizations, policymakers, and industry professionals. 

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Lisa Hirsch

AI and Predictive Modeling

Plenary Session (Location: Hagerty Center)

October 30, 2026 at 11:00 AM — October 30, 2026 at 11:20 AM

We present Virtual Beach (ShinyVB), a browser-based R-Shiny toolkit that streamlines the development of regression models for water quality measures, with a focus on indicator bacteria concentrations and exceedance probabilities. ShinyVB enables users to rapidly prototype, compare, and refine models that leverage common covariates such as antecedent rainfall, turbidity, wind speed and direction, wave height, dissolved oxygen and water temperature.

Abstract: "Timely predictions of recreational water quality require integrating hydrometeorological and nearshore environmental data while evaluating potentially complex relationships among features/covariates. We present Virtual Beach (ShinyVB), a browser-based R-Shiny toolkit that streamlines the development of regression models for water quality measures, with a focus on indicator bacteria concentrations and exceedance probabilities. ShinyVB enables users to rapidly prototype, compare, and refine models that leverage common covariates such as antecedent rainfall, turbidity, wind speed and direction, wave height, dissolved oxygen and water temperature. ShinyVB guides users from exploratory analysis to model selection through a cohesive, interactive workflow. To support feature engineering and interpretation, the toolkit includes: •    Automated generation of covariate interaction terms to capture synergistic effects •    Pre-filtering of highly collinear covariates to improve model stability and interpretability •    Visualization of covariates using scatterplots, lineplots, and raincloud density plots for distributional comparisons and outlier identification •    Statistical identification of high leverage samples •    A genetic algorithm to search for feature space and identify influential covariates and parsimonious subsets The platform accommodates both binary and continuous outcomes, providing four modeling techniques: logistic regression and XGBoost classification for binary response modeling; Elastic Net and XGBoost for continuous responses. This combination supports both interpretable linear models and high-capacity machine-learning approaches within a unified environment, enabling practitioners to balance transparency, parsimony, and predictive performance. In this presentation, we will demonstrate ShinyVB’s features and workflow on a representative microbial dataset and showcase how parallel modeling options enable side-by-side evaluation under different objectives (e.g., exceedance classification versus concentration prediction). We will discuss practical considerations for data preparation, feature selection, and model deployment, and highlight how ShinyVB supports reproducible, documented analyses accessible to both technical and non-technical users. By consolidating data exploration, feature engineering, and model building into a single, interactive toolkit, ShinyVB lowers the barrier to robust water quality modeling and fosters rapid forecasting for beach management."
 

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Mike Cyterski
October 30, 2026 at 11:20 AM — October 30, 2026 at 11:40 AM

In legal cases, the industry standard for measuring change in beach use requires human analysts to count beach-users manually from aerial imagery. Recent advancements in machine-learning (ML), artificial intelligence (AI) and drone technology have created opportunities to improve the efficiency and cost-effectiveness of this manual method. In this presentation, we introduce an ML-enabled method to automatically count beach-users from aerial imagery.

Abstract: After the BP Oil Spill, the U.S. federal government and Gulf states pursued compensation for economic losses resulting from diminished recreational beach use. In legal settings, the industry standard for measuring change in beach use requires human analysts to count beach-users manually from aerial imagery. Recent advancements in machine-learning (ML), artificial intelligence (AI) and drone technology have created opportunities to improve the efficiency and cost-effectiveness of this manual method. In this presentation, we introduce an ML-enabled method to automatically count beach-users from aerial imagery. Although developed in the context of oil spill damage assessments, this new approach may provide reliable information at a reasonable cost and therefore enable use of aerial imagery in other contexts (e.g., resource inventories, crowd forecasting, etc.) We discuss successes and challenges operationalizing this method and outline a realistic path forward for further integration of ML into real-world applications of remote sensing. 
 

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Emily Evenden