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Gitter A, Gidley M, Mena KD, Ferguson A, Sinigalliano C, Bonacolta A, Solo-Gabriele H. Integrating microbial source tracking with quantitative microbial risk assessment to evaluate site specific risk based thresholds at two South Florida beaches. Front Microbiol 2023; 14:1210192. [PMID: 37901823 PMCID: PMC10602684 DOI: 10.3389/fmicb.2023.1210192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 09/20/2023] [Indexed: 10/31/2023] Open
Abstract
Quantitative microbial risk assessment (QMRA) can be used to evaluate health risks associated with recreational beach use. This study developed a site-specific risk assessment using a novel approach that combined quantitative PCR-based measurement of microbial source tracking (MST) genetic markers (human, dog, and gull fecal bacteria) with a QMRA analysis of potential pathogen risk. Water samples (n = 24) from two recreational beaches were collected and analyzed for MST markers as part of a broader Beach Exposure And Child Health Study that examined child behavior interactions with the beach environment. We report here the measurements of fecal bacteria MST markers in the environmental DNA extracts of those samples and a QMRA analysis of potential health risks utilizing the results from the MST measurements in the water samples. Human-specific Bacteroides was enumerated by the HF183 Taqman qPCR assay, gull-specific Catellicoccus was enumerated by the Gull2 qPCR assay, and dog-specific Bacteroides was enumerated by the DogBact qPCR assay. Derived reference pathogen doses, calculated from the MST marker concentrations detected in recreational waters, were used to estimate the risk of gastrointestinal illness for both children and adults. Dose-response equations were used to estimate the probability of the risk of infection (Pinf) per a swimming exposure event. Based on the QMRA simulations presented in this study, the GI risk from swimming or playing in water containing a mixture of human and non-human fecal sources appear to be primarily driven by the human fecal source. However, the estimated median GI health risk for both beaches never exceeded the U.S. EPA risk threshold of 32 illnesses per 1,000 recreation events. Our research suggests that utilizing QMRA together with MST can further extend our understanding of potential recreational bather risk by identifying the source contributing the greatest risk in a particular location, therefore informing beach management responses and decision-making.
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Affiliation(s)
- Anna Gitter
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center Houston School of Public Health, El Paso, TX, United States
| | - Maribeth Gidley
- Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, United States
- Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, United States
| | - Kristina D. Mena
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center Houston School of Public Health, El Paso, TX, United States
| | - Alesia Ferguson
- Department of Built Environment, North Carolina Agricultural and Technical State University, Greensboro, NC, United States
| | - Christopher Sinigalliano
- Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, United States
| | - Anthony Bonacolta
- Department of Marine Biology and Ecology, University of Miami, Miami, FL, United States
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Catalonia, Spain
| | - Helena Solo-Gabriele
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL, United States
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Montas L, Ferguson AC, Mena KD, Solo-Gabriele HM, Paris CB. PAH depletion in weathered oil slicks estimated from modeled age-at-sea during the Deepwater Horizon oil spill. JOURNAL OF HAZARDOUS MATERIALS 2022; 440:129767. [PMID: 35988486 DOI: 10.1016/j.jhazmat.2022.129767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/15/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
During time-periods oil slicks are in the marine environment (age-at-sea), weathering causes significant changes in composition and mass loss (depletion) of oil spill chemicals including the more toxic polycyclic aromatic hydrocarbons (PAHs). The goal of this study was to estimate the age-at-sea of weathered oil slicks using the oil spill module of the Connectivity Modeling System and to use this age to interpret PAH concentration measurements. Percent depletion (PD) for each measurement was computed as the percentage difference between the original and measured PAH concentration in the crude oil and weathered oil slicks, normalized upon the mass losses relative to hopane. Mean PD increased with estimated age-at-sea for all PAHs. Less PD was observed for alkylated than for parent PAHs, likely due to decreasing vapor pressure with increasing degree of alkylation. We conclude that estimated age-at-sea can be used to explain PAH depletion in weathered oil slicks. We propose PAH vapor pressure can be coupled with the model to expand capacity for predicting concentration distributions of individual parent and alkylated PAHs in weathered oil along the coastline. This new module will advance the science supporting oil spill response by providing more certain estimates of health risks from oil spills.
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Affiliation(s)
- Larissa Montas
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Alesia C Ferguson
- Department of Built Environment, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
| | - Kristina D Mena
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Helena M Solo-Gabriele
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
| | - Claire B Paris
- Department of Ocean Sciences, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, FL 33149, USA
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Solo-Gabriele HM, Fiddaman T, Mauritzen C, Ainsworth C, Abramson DM, Berenshtein I, Chassignet EP, Chen SS, Conmy RN, Court CD, Dewar WK, Farrington JW, Feldman MG, Ferguson AC, Fetherston-Resch E, French-McCay D, Hale C, He R, Kourafalou VH, Lee K, Liu Y, Masi M, Maung-Douglass ES, Morey SL, Murawski SA, Paris CB, Perlin N, Pulster EL, Quigg A, Reed DJ, Ruzicka JJ, Sandifer PA, Shepherd JG, Singer BH, Stukel MR, Sutton TT, Weisberg RH, Wiesenburg D, Wilson CA, Wilson M, Wowk KM, Yanoff C, Yoskowitz D. Towards integrated modeling of the long-term impacts of oil spills. MARINE POLICY 2021; 131:1-18. [PMID: 37850151 PMCID: PMC10581399 DOI: 10.1016/j.marpol.2021.104554] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Although great progress has been made to advance the scientific understanding of oil spills, tools for integrated assessment modeling of the long-term impacts on ecosystems, socioeconomics and human health are lacking. The objective of this study was to develop a conceptual framework that could be used to answer stakeholder questions about oil spill impacts and to identify knowledge gaps and future integration priorities. The framework was initially separated into four knowledge domains (ocean environment, biological ecosystems, socioeconomics, and human health) whose interactions were explored by gathering stakeholder questions through public engagement, assimilating expert input about existing models, and consolidating information through a system dynamics approach. This synthesis resulted in a causal loop diagram from which the interconnectivity of the system could be visualized. Results of this analysis indicate that the system naturally separates into two tiers, ocean environment and biological ecosystems versus socioeconomics and human health. As a result, ocean environment and ecosystem models could be used to provide input to explore human health and socioeconomic variables in hypothetical scenarios. At decadal-plus time scales, the analysis emphasized that human domains influence the natural domains through changes in oil-spill related laws and regulations. Although data gaps were identified in all four model domains, the socioeconomics and human health domains are the least established. Considerable future work is needed to address research gaps and to create fully coupled quantitative integrative assessment models that can be used in strategic decision-making that will optimize recoveries from future large oil spills.
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Affiliation(s)
- Helena M. Solo-Gabriele
- Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, FL 33146, USA
| | | | - Cecilie Mauritzen
- Department of Climate, Norwegian Meteorological Institute, Oslo, Norway
| | - Cameron Ainsworth
- College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
| | - David M. Abramson
- School of Global Public Health, New York University, New York, NY 10003, USA
| | - Igal Berenshtein
- Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
- Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Eric P. Chassignet
- Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL 32306, USA
| | - Shuyi S. Chen
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - Robyn N. Conmy
- Office of Research and Development, US Environmental Protection Agency, Cincinnati, OH 45268, USA
| | - Christa D. Court
- Food and Resource Economics Department, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32611, USA
| | - William K. Dewar
- Laboratoire de Glaciologie et Geophysique de l’Environnement, French National Center for Scientific Research (CNRS), Grenoble, France 38000, and Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL 32306, USA
| | | | - Michael G. Feldman
- Consortium for Ocean Leadership, Gulf of Mexico Research Initiative, Washington, DC 20005, USA
| | - Alesia C. Ferguson
- Built Environment Department, College of Science and Technology, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
| | | | | | - Christine Hale
- Harte Research Institute for Gulf of Mexico Studies, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
| | - Ruoying He
- Dept. of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Vassiliki H. Kourafalou
- Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Kenneth Lee
- Fisheries and Oceans Canada, Ecosystem Science, Ottawa, Ontario, K1A 0E6, Canada
| | - Yonggang Liu
- College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
| | - Michelle Masi
- Southeast Fisheries Science Center, National Marine Fisheries Service, NOAA, Galveston, TX 77551, USA
| | | | - Steven L. Morey
- School of the Environment, Florida Agricultural and Mechanical University, Tallahassee, FL 32307, USA
| | - Steven A. Murawski
- College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
| | - Claire B. Paris
- Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Natalie Perlin
- Department of Atmospheric Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Erin L. Pulster
- College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
| | - Antonietta Quigg
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77553, USA
| | - Denise J. Reed
- Pontchartrain Institute for Environmental Sciences, University of New Orleans, 2000 Lakeshore Drive, New Orleans, LA 70148, USA
| | - James J. Ruzicka
- Cooperative Institute for Marine Resources Studies, Oregon State University, Newport, OR 97365, USA
| | - Paul A. Sandifer
- Center for Coastal Environmental and Human Health, College of Charleston, Charleston, SC 29424, USA
| | - John G. Shepherd
- School of Ocean & Earth Science, National Oceanography Centre, University of Southampton, Southampton SO14 3ZH, UK
| | - Burton H. Singer
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA
| | - Michael R. Stukel
- Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL 32306, USA
| | - Tracey T. Sutton
- Guy Harvey Oceanographic Center, Halmos College of Arts and Sciences, Nova Southeastern University, Dania Beach, FL 33004, USA
| | - Robert H. Weisberg
- College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
| | - Denis Wiesenburg
- School of Ocean Science and Engineering, University of Southern Mississippi, Hattiesburg, MS 39406, USA
| | | | - Monica Wilson
- Florida Sea Grant, University of Florida, St. Petersburg, FL 33701, USA
| | - Kateryna M. Wowk
- Harte Research Institute for Gulf of Mexico Studies, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
| | - Callan Yanoff
- Consortium for Ocean Leadership, Gulf of Mexico Research Initiative, Washington, DC 20005, USA
| | - David Yoskowitz
- Harte Research Institute for Gulf of Mexico Studies, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
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