Are We Keeping Coastal Waters Safe and Clean after Heavy Rainfall Events? An Overview and UpdateClick to copy article linkArticle link copied!
- Matteo Rubinato*Matteo Rubinato*[email protected]Department of Civil Engineering, College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, U.K.More by Matteo Rubinato
- Fernando L. Rosario OrtizFernando L. Rosario OrtizDepartment of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, Colorado 80309, United StatesMore by Fernando L. Rosario Ortiz
- Ricardo Piazza MeirelesRicardo Piazza MeirelesLOG - Laboratório de Oceanografia Geológica, Instituto de Geociências, Universidade Federal da Bahia, Salvador, Bahia 40.170-280, BrazilMore by Ricardo Piazza Meireles
- Ricardo MartinsRicardo MartinsRISCO - Research Center for Risks and Sustainability in Construction, Department of Civil Engineering, University of Aveiro, 3810-193 Aveiro, PortugalMore by Ricardo Martins
- Peng-Nan SunPeng-Nan SunSchool of Ocean Engineering and Technology, Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, ChinaMore by Peng-Nan Sun
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*Disclaimer
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You are free to share(copy and redistribute) this article in any medium or format and to adapt(remix, transform, and build upon) the material for any purpose, even commercially within the parameters below:
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Acknowledgments
This Viewpoint is based on work supported by the Royal Society International Exchanges 2022 Round 1 (IES\R1\221010), the Royal Society International Exchanges 2022 Cost Share (NSFC) (IEC\NSFC\223095), and the Royal Society International Exchanges 2020 Round 1 (IES\R1\201044), awarded to M.R. Additionally, R.M. acknowledges the financial support of the Portuguese Science Foundation (Fundação para a Ciência e Tecnologia) through Projects UIDB/04450/2020 and UIDP/04450/2020 granted to RISCO - Research Centre for Risks and Sustainability in Construction.
References
This article references 21 other publications.
- 1Laino, E.; Iglesias, G. Scientometric review of climate-change extreme impacts on coastal cities. Ocean & Coastal Management 2023, 242, 106709 DOI: 10.1016/j.ocecoaman.2023.106709Google ScholarThere is no corresponding record for this reference.
- 2Ryder, G. The United Nations world water development report, 2017: Wastewater: the untapped resource. 2017.Google ScholarThere is no corresponding record for this reference.
- 3Lin, L.; Yang, H.; Xu Effects of Water Pollution on Human Health and Disease Heterogeneity: A Review. Front. Environ. Sci. 2022, 10, 880246, DOI: 10.3389/fenvs.2022.880246Google ScholarThere is no corresponding record for this reference.
- 4Law, K. L.; Starr, N.; Siegler, T. R.; Jambeck, J.; Mallos, N.; Leonard, G. B. The United States’ Contribution of Plastic Waste to Land and Ocean. Sci. Adv. 2020, 6, eabd0288 DOI: 10.1126/sciadv.abd0288Google ScholarThere is no corresponding record for this reference.
- 5Edmonds, D. A.; Caldwell, R. L.; Brondizio, E. S.; Siani, S. M. O. Coastal flooding will disproportionately impact people on river deltas. Nature Communication 2020, 11, 4741, DOI: 10.1038/s41467-020-18531-4Google ScholarThere is no corresponding record for this reference.
- 6Gamarra, N. C.; Costa, A. C. L.; Ferreira, M. A. C.; Diele-Viegas, L. M.; Santos, A. P. O.; Ladle, R. J.; Malhado, A. C.; Campos-Silva, J. V. The contribution of fishing to human well-being in Brazilian coastal communities. Marine Policy 2023, 150, 105521 DOI: 10.1016/j.marpol.2023.105521Google ScholarThere is no corresponding record for this reference.
- 7González-Fernández, A.; Symonds, E. M.; Gallard-Gongora, J. F.; Mull, B.; Lukasik, J. O.; Rivera Navarro, P.; Badilla Aguilar, A.; Peraud, J.; Mora Alvarado, D.; Cantor, A.; Breitbart, M.; Cairns, M. R.; Harwood, V. J. Risk of Gastroenteritis from Swimming at a Wastewater-Impacted Tropical Beach Varies across Localized Scales. Appl. Environ. Microbiol. 2023, 89 (3), e01033– 22, DOI: 10.1128/aem.01033-22Google ScholarThere is no corresponding record for this reference.
- 8Bej, S.; Swain, S.; Bishoyi, A. K.; Mandhata, C. P.; Sahoo, C. R.; Padhy, R. N. Wastewater-Associated Infections: A Public Health Concern. Water, Air, Soil & Pollution 2023, 234 (2023), 444, DOI: 10.1007/s11270-023-06431-4Google ScholarThere is no corresponding record for this reference.
- 9Díaz, S. M.; Barrios, M. E.; Galli, L.; Cammarata, R. V.; Torres, C.; Fortunato, M. S.; García López, G.; Costa, M.; Sanguino Jorquera, D. G.; Oderiz, S.; Rogé, A.; Gentiluomo, J.; Carbonari, C.; Rajal, V. B.; Korol, S. E.; Gallego, A.; Blanco Fernández, M. D.; Mbayed, V. A. Microbiological hazard identification in river waters used for recreational activities. Environmental Research 2024, 247, 118161 DOI: 10.1016/j.envres.2024.118161Google ScholarThere is no corresponding record for this reference.
- 10DeFlorio-Barker, S.; Wing, C.; Jones, R. M.; Dorevitch, S. Estimate of incidence and cost of recreational waterborne illness on United States surface waters. Environmental Health 2018, 17, 3, DOI: 10.1186/s12940-017-0347-9Google ScholarThere is no corresponding record for this reference.
- 11Cheng, K.H.; Luo, X.; Jiao, J. J.; Yu, S. Storm accelerated subsurface Escherichia coli growth and exports to coastal waters. J. Hazard. Mater. 2023, 441, 129893 DOI: 10.1016/j.jhazmat.2022.129893Google ScholarThere is no corresponding record for this reference.
- 12González-Fernández, A.; Symonds, E. M.; Gallard-Gongora, J. F.; Mull, B.; Lukasik, J. O.; Rivera Navarro, P.; Badilla Aguilar, A.; Peraud, J.; Brown, M. L.; Mora Alvarado, D.; Breitbart, M.; Cairns, M. R.; Harwood, V. J. Relationships among microbial indicators of fecal pollution, microbial source tracking markers, and pathogens in Costa Rican coastal waters. Water Res. 2021, 188, 116507 DOI: 10.1016/j.watres.2020.116507Google Scholar12https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB3cXitFCrsrjE&md5=8703b21142734a36cbe08994d9ba8048Relationships among microbial indicators of fecal pollution, microbial source tracking markers, and pathogens in Costa Rican coastal watersGonzalez-Fernandez, Adriana; Symonds, Erin M.; Gallard-Gongora, Javier F.; Mull, Bonnie; Lukasik, Jerzy O.; Rivera Navarro, Pablo; Badilla Aguilar, Andrei; Peraud, Jayme; Brown, Megan L.; Mora Alvarado, Darner; Breitbart, Mya; Cairns, Maryann R.; Harwood, Valerie J.Water Research (2021), 188 (), 116507CODEN: WATRAG; ISSN:0043-1354. (Elsevier Ltd.)Tropical coastal waters are understudied, despite their ecol. and economic importance. They also reflect projected climate change scenarios for other climate zones, e.g., increased rainfall and water temps. We conducted an exploratory microbial water quality study at a tropical beach influenced by sewage-contaminated rivers, and tested the hypothesis that fecal microorganisms (fecal coliforms, enterococci, Clostridium perfringens, somatic and male-specific coliphages, pepper mild mottle virus (PMMoV), Bacteroides HF183, norovirus genogroup I (NoVGI), Salmonella, Cryptosporidium and Giardia) would vary by season and tidal stage. Most microorganisms' concns. were greater in the rainy season; however, NoVGI was only detected in the dry season and Cryptosporidium was the only pathogen most frequently detected in rainy season. Fecal indicator bacteria (FIB) levels exceeded recreational water quality criteria stds. in >85% of river samples and in <50% of ocean samples, regardless of the FIB or regulatory criterion. Chronic sewage contamination was demonstrated by detection of HF183 and PMMoV in 100% of river samples, and in >89% of ocean samples. Giardia, Cryptosporidium, Salmonella, and NoVGI were frequently detected in rivers (39%, 39%, 26%, and 39% of samples, resp.), but infrequently in ocean water, particularly during the dry season. Multivariate anal. showed that C. perfringens, somatic coliphage, male-specific coliphage, and PMMoV were the subset of indicators that maximized the correlation with pathogens in the rivers. In the ocean, the best subset of indicators was enterococci, male-specific coliphage, and PMMoV. We also executed redudancy analyses on environmental parameters and microorganim concns., and found that rainfall best predicted microbial concns. The seasonal interplay of rainfall and pathogen prevalence undoubtedly influences beach users' health risks. Relationships are likely to be complex, with some risk factors increasing and others decreasing each season. Future use of multivariate approaches to better understand linkages among environmental conditions, microbial predictors (fecal indicators and MST markers), and pathogens will improve prediction of high-risk scenarios at recreational beaches.
- 13Zgouridou, A.; Tripidaki, E.; Giantsis, I. A.; Theodorou, J. A.; Kalaitzidou, M.; Raitsos, D. E.; Lattos, A.; Mavropoulou, A. M.; Sofianos, S.; Karagiannis, D.; Chaligiannis, I.; Anestis, A.; Papadakis, N.; Feidantsis, K.; Mintza, D.; Staikou, A.; Michaelidis, B. The current situation and potential effects of climate change on the microbial load of marine bivalves of the Greek coastlines: an integrative review. Environmental Microbiology 2022, 24 (3), 1012– 1034, DOI: 10.1111/1462-2920.15765Google ScholarThere is no corresponding record for this reference.
- 14Myers, E. M.; Juhl, A. R. Particle association of Enterococcus sp. increases growth rates and simulated persistence in water columns of varying light attenuation and turbulent diffusivity. Water Res. 2020, 186, 116140 DOI: 10.1016/j.watres.2020.116140Google ScholarThere is no corresponding record for this reference.
- 15Mostafa, S.; Rubinato, M.; Rosario-Ortiz, F. L.; Linden, K. G. Surface Water Organic Matter on Enterococcus Faecalis Inactivation. Environmental Engineering Science 2016, 33 (6), 365– 373, DOI: 10.1089/ees.2016.0041Google ScholarThere is no corresponding record for this reference.
- 16Mwatondo, M. H.; Silverman, A. I. Escherichia coli and Enterococcus spp. Indigenous to Wastewater Have Slower Free Chlorine Disinfection Rates than Their Laboratory-Cultured Counterparts. Environmental Science & Technology Letters 2021, 8 (12), 1091– 1097, DOI: 10.1021/acs.estlett.1c00732Google ScholarThere is no corresponding record for this reference.
- 17Jiang, M.; Sheng, Y.; Tian, C.; Li, C.; Liu, Q.; Li, Z. Feasibility of source identification by DOM fingerprinting in marine pollution events. Mar. Pollut. Bull. 2021, 173 (Part B), 113060 DOI: 10.1016/j.marpolbul.2021.113060Google ScholarThere is no corresponding record for this reference.
- 18Cheng, K. H.; Chan, S. N.; Lee, J. H. W. Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs). Mar. Pollut. Bull. 2020, 152, 110889 DOI: 10.1016/j.marpolbul.2020.110889Google ScholarThere is no corresponding record for this reference.
- 19Huang, Y.; Wang, X.; Xiang, W.; Wang, T.; Otis, C.; Sarge, L.; Lei, Y.; Li, B. Forward-Looking Roadmaps for Long-Term Continuous Water Quality Monitoring: Bottlenecks, Innovations, and Prospects in a Critical Review. Environ. Sci. Technol. 2022, 56, 5334– 5354, DOI: 10.1021/acs.est.1c07857Google Scholar55https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB38XhtVentLnF&md5=7d353bc5324198b9f6cc0567774b1f6eForward-looking roadmaps for long-term continuous water quality monitoring: bottlenecks, innovations, and prospects in a critical reviewHuang, Yuankai; Wang, Xingyu; Xiang, Wenjun; Wang, Tianbao; Otis, Clifford; Sarge, Logan; Lei, Yu; Li, BaikunEnvironmental Science & Technology (2022), 56 (9), 5334-5354CODEN: ESTHAG; ISSN:1520-5851. (American Chemical Society)A review. Long-term continuous monitoring (LTCM) of water quality can bring far-reaching influences on water ecosystems by providing spatiotemporal data sets of diverse parameters and enabling operation of water and wastewater treatment processes in an energy-saving and cost-effective manner. However, current water monitoring technologies are deficient for long-term accuracy in data collection and processing capability. Inadequate LTCM data impedes water quality assessment and hinders the stakeholders and decision makers from foreseeing emerging problems and executing efficient control methodologies. To tackle this challenge, this review provides a forward-looking roadmap highlighting vital innovations toward LTCM, and elaborates on the impacts of LTCM through a three-hierarchy perspective: data, parameters, and systems. First, we demonstrate the crit. needs and challenges of LTCM in natural resource water, drinking water, and wastewater systems, and differentiate LTCM from existing short-term and discrete monitoring techniques. We then elucidate three steps to achieve LTCM in water systems, consisting of data acquisition (water sensors), data processing (machine learning algorithms), and data application (with modeling and process control as two examples). Finally, we explore future opportunities of LTCM in four key domains, water, energy, sensing, and data, and underscore strategies to transfer scientific discoveries to general end-users.
- 20Ateia, M.; Wei, H.; Andreescu, S. Sensors for Emerging Water Contaminants: Overcoming Roadblocks to Innovation. Environ. Sci. Technol. 2024, 58 (6), 2636– 2651, DOI: 10.1021/acs.est.3c09889Google ScholarThere is no corresponding record for this reference.
- 21Steele, J. A.; Blackwood, A. D.; Griffith, J. F.; Noble, R. T.; Schiff, K. C. Quantification of pathogens and markers of fecal contamination during storm events along popular surfing beaches in San Diego, California. Water Res. 2018, 136, 137– 149, DOI: 10.1016/j.watres.2018.01.056Google Scholar57https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BC1cXjs1OhtLc%253D&md5=1e9d3795f9f3f751a7e9757f4c448e32Quantification of pathogens and markers of fecal contamination during storm events along popular surfing beaches in San Diego, CaliforniaSteele, Joshua A.; Blackwood, A. Denene; Griffith, John F.; Noble, Rachel T.; Schiff, Kenneth C.Water Research (2018), 136 (), 137-149CODEN: WATRAG; ISSN:0043-1354. (Elsevier Ltd.)Along southern California beaches, the concns. of fecal indicator bacteria (FIB) used to quantify the potential presence of fecal contamination in coastal recreational waters have been previously documented to be higher during wet weather conditions (typically winter or spring) than those obsd. during summer dry weather conditions. FIB are used for management of recreational waters because measurement of the bacterial and viral pathogens that are the potential causes of illness in beachgoers exposed to stormwater can be expensive, time-consuming, and tech. difficult. We applied these assays across multiple storm events from two different watersheds that discharge to popular surfing beaches in San Diego, CA. Multiple lines of evidence indicated that the stormwater discharges contained human fecal contamination, despite the presence of sep. storm sewer and sanitary sewer systems in both watersheds. This study is one of the few to directly measure an array of important bacterial and viral pathogens in stormwater discharges to recreational beaches, and provides context for stormwater-based management of beaches during high risk wet-weather periods. Furthermore, the combination of culture-based and digital PCR-derived data is demonstrated to be valuable for assessing hydrog. relationships, considering delivery mechanisms, and providing foundational exposure information for risk assessment.
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References
This article references 21 other publications.
- 1Laino, E.; Iglesias, G. Scientometric review of climate-change extreme impacts on coastal cities. Ocean & Coastal Management 2023, 242, 106709 DOI: 10.1016/j.ocecoaman.2023.106709There is no corresponding record for this reference.
- 2Ryder, G. The United Nations world water development report, 2017: Wastewater: the untapped resource. 2017.There is no corresponding record for this reference.
- 3Lin, L.; Yang, H.; Xu Effects of Water Pollution on Human Health and Disease Heterogeneity: A Review. Front. Environ. Sci. 2022, 10, 880246, DOI: 10.3389/fenvs.2022.880246There is no corresponding record for this reference.
- 4Law, K. L.; Starr, N.; Siegler, T. R.; Jambeck, J.; Mallos, N.; Leonard, G. B. The United States’ Contribution of Plastic Waste to Land and Ocean. Sci. Adv. 2020, 6, eabd0288 DOI: 10.1126/sciadv.abd0288There is no corresponding record for this reference.
- 5Edmonds, D. A.; Caldwell, R. L.; Brondizio, E. S.; Siani, S. M. O. Coastal flooding will disproportionately impact people on river deltas. Nature Communication 2020, 11, 4741, DOI: 10.1038/s41467-020-18531-4There is no corresponding record for this reference.
- 6Gamarra, N. C.; Costa, A. C. L.; Ferreira, M. A. C.; Diele-Viegas, L. M.; Santos, A. P. O.; Ladle, R. J.; Malhado, A. C.; Campos-Silva, J. V. The contribution of fishing to human well-being in Brazilian coastal communities. Marine Policy 2023, 150, 105521 DOI: 10.1016/j.marpol.2023.105521There is no corresponding record for this reference.
- 7González-Fernández, A.; Symonds, E. M.; Gallard-Gongora, J. F.; Mull, B.; Lukasik, J. O.; Rivera Navarro, P.; Badilla Aguilar, A.; Peraud, J.; Mora Alvarado, D.; Cantor, A.; Breitbart, M.; Cairns, M. R.; Harwood, V. J. Risk of Gastroenteritis from Swimming at a Wastewater-Impacted Tropical Beach Varies across Localized Scales. Appl. Environ. Microbiol. 2023, 89 (3), e01033– 22, DOI: 10.1128/aem.01033-22There is no corresponding record for this reference.
- 8Bej, S.; Swain, S.; Bishoyi, A. K.; Mandhata, C. P.; Sahoo, C. R.; Padhy, R. N. Wastewater-Associated Infections: A Public Health Concern. Water, Air, Soil & Pollution 2023, 234 (2023), 444, DOI: 10.1007/s11270-023-06431-4There is no corresponding record for this reference.
- 9Díaz, S. M.; Barrios, M. E.; Galli, L.; Cammarata, R. V.; Torres, C.; Fortunato, M. S.; García López, G.; Costa, M.; Sanguino Jorquera, D. G.; Oderiz, S.; Rogé, A.; Gentiluomo, J.; Carbonari, C.; Rajal, V. B.; Korol, S. E.; Gallego, A.; Blanco Fernández, M. D.; Mbayed, V. A. Microbiological hazard identification in river waters used for recreational activities. Environmental Research 2024, 247, 118161 DOI: 10.1016/j.envres.2024.118161There is no corresponding record for this reference.
- 10DeFlorio-Barker, S.; Wing, C.; Jones, R. M.; Dorevitch, S. Estimate of incidence and cost of recreational waterborne illness on United States surface waters. Environmental Health 2018, 17, 3, DOI: 10.1186/s12940-017-0347-9There is no corresponding record for this reference.
- 11Cheng, K.H.; Luo, X.; Jiao, J. J.; Yu, S. Storm accelerated subsurface Escherichia coli growth and exports to coastal waters. J. Hazard. Mater. 2023, 441, 129893 DOI: 10.1016/j.jhazmat.2022.129893There is no corresponding record for this reference.
- 12González-Fernández, A.; Symonds, E. M.; Gallard-Gongora, J. F.; Mull, B.; Lukasik, J. O.; Rivera Navarro, P.; Badilla Aguilar, A.; Peraud, J.; Brown, M. L.; Mora Alvarado, D.; Breitbart, M.; Cairns, M. R.; Harwood, V. J. Relationships among microbial indicators of fecal pollution, microbial source tracking markers, and pathogens in Costa Rican coastal waters. Water Res. 2021, 188, 116507 DOI: 10.1016/j.watres.2020.11650712https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB3cXitFCrsrjE&md5=8703b21142734a36cbe08994d9ba8048Relationships among microbial indicators of fecal pollution, microbial source tracking markers, and pathogens in Costa Rican coastal watersGonzalez-Fernandez, Adriana; Symonds, Erin M.; Gallard-Gongora, Javier F.; Mull, Bonnie; Lukasik, Jerzy O.; Rivera Navarro, Pablo; Badilla Aguilar, Andrei; Peraud, Jayme; Brown, Megan L.; Mora Alvarado, Darner; Breitbart, Mya; Cairns, Maryann R.; Harwood, Valerie J.Water Research (2021), 188 (), 116507CODEN: WATRAG; ISSN:0043-1354. (Elsevier Ltd.)Tropical coastal waters are understudied, despite their ecol. and economic importance. They also reflect projected climate change scenarios for other climate zones, e.g., increased rainfall and water temps. We conducted an exploratory microbial water quality study at a tropical beach influenced by sewage-contaminated rivers, and tested the hypothesis that fecal microorganisms (fecal coliforms, enterococci, Clostridium perfringens, somatic and male-specific coliphages, pepper mild mottle virus (PMMoV), Bacteroides HF183, norovirus genogroup I (NoVGI), Salmonella, Cryptosporidium and Giardia) would vary by season and tidal stage. Most microorganisms' concns. were greater in the rainy season; however, NoVGI was only detected in the dry season and Cryptosporidium was the only pathogen most frequently detected in rainy season. Fecal indicator bacteria (FIB) levels exceeded recreational water quality criteria stds. in >85% of river samples and in <50% of ocean samples, regardless of the FIB or regulatory criterion. Chronic sewage contamination was demonstrated by detection of HF183 and PMMoV in 100% of river samples, and in >89% of ocean samples. Giardia, Cryptosporidium, Salmonella, and NoVGI were frequently detected in rivers (39%, 39%, 26%, and 39% of samples, resp.), but infrequently in ocean water, particularly during the dry season. Multivariate anal. showed that C. perfringens, somatic coliphage, male-specific coliphage, and PMMoV were the subset of indicators that maximized the correlation with pathogens in the rivers. In the ocean, the best subset of indicators was enterococci, male-specific coliphage, and PMMoV. We also executed redudancy analyses on environmental parameters and microorganim concns., and found that rainfall best predicted microbial concns. The seasonal interplay of rainfall and pathogen prevalence undoubtedly influences beach users' health risks. Relationships are likely to be complex, with some risk factors increasing and others decreasing each season. Future use of multivariate approaches to better understand linkages among environmental conditions, microbial predictors (fecal indicators and MST markers), and pathogens will improve prediction of high-risk scenarios at recreational beaches.
- 13Zgouridou, A.; Tripidaki, E.; Giantsis, I. A.; Theodorou, J. A.; Kalaitzidou, M.; Raitsos, D. E.; Lattos, A.; Mavropoulou, A. M.; Sofianos, S.; Karagiannis, D.; Chaligiannis, I.; Anestis, A.; Papadakis, N.; Feidantsis, K.; Mintza, D.; Staikou, A.; Michaelidis, B. The current situation and potential effects of climate change on the microbial load of marine bivalves of the Greek coastlines: an integrative review. Environmental Microbiology 2022, 24 (3), 1012– 1034, DOI: 10.1111/1462-2920.15765There is no corresponding record for this reference.
- 14Myers, E. M.; Juhl, A. R. Particle association of Enterococcus sp. increases growth rates and simulated persistence in water columns of varying light attenuation and turbulent diffusivity. Water Res. 2020, 186, 116140 DOI: 10.1016/j.watres.2020.116140There is no corresponding record for this reference.
- 15Mostafa, S.; Rubinato, M.; Rosario-Ortiz, F. L.; Linden, K. G. Surface Water Organic Matter on Enterococcus Faecalis Inactivation. Environmental Engineering Science 2016, 33 (6), 365– 373, DOI: 10.1089/ees.2016.0041There is no corresponding record for this reference.
- 16Mwatondo, M. H.; Silverman, A. I. Escherichia coli and Enterococcus spp. Indigenous to Wastewater Have Slower Free Chlorine Disinfection Rates than Their Laboratory-Cultured Counterparts. Environmental Science & Technology Letters 2021, 8 (12), 1091– 1097, DOI: 10.1021/acs.estlett.1c00732There is no corresponding record for this reference.
- 17Jiang, M.; Sheng, Y.; Tian, C.; Li, C.; Liu, Q.; Li, Z. Feasibility of source identification by DOM fingerprinting in marine pollution events. Mar. Pollut. Bull. 2021, 173 (Part B), 113060 DOI: 10.1016/j.marpolbul.2021.113060There is no corresponding record for this reference.
- 18Cheng, K. H.; Chan, S. N.; Lee, J. H. W. Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs). Mar. Pollut. Bull. 2020, 152, 110889 DOI: 10.1016/j.marpolbul.2020.110889There is no corresponding record for this reference.
- 19Huang, Y.; Wang, X.; Xiang, W.; Wang, T.; Otis, C.; Sarge, L.; Lei, Y.; Li, B. Forward-Looking Roadmaps for Long-Term Continuous Water Quality Monitoring: Bottlenecks, Innovations, and Prospects in a Critical Review. Environ. Sci. Technol. 2022, 56, 5334– 5354, DOI: 10.1021/acs.est.1c0785755https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB38XhtVentLnF&md5=7d353bc5324198b9f6cc0567774b1f6eForward-looking roadmaps for long-term continuous water quality monitoring: bottlenecks, innovations, and prospects in a critical reviewHuang, Yuankai; Wang, Xingyu; Xiang, Wenjun; Wang, Tianbao; Otis, Clifford; Sarge, Logan; Lei, Yu; Li, BaikunEnvironmental Science & Technology (2022), 56 (9), 5334-5354CODEN: ESTHAG; ISSN:1520-5851. (American Chemical Society)A review. Long-term continuous monitoring (LTCM) of water quality can bring far-reaching influences on water ecosystems by providing spatiotemporal data sets of diverse parameters and enabling operation of water and wastewater treatment processes in an energy-saving and cost-effective manner. However, current water monitoring technologies are deficient for long-term accuracy in data collection and processing capability. Inadequate LTCM data impedes water quality assessment and hinders the stakeholders and decision makers from foreseeing emerging problems and executing efficient control methodologies. To tackle this challenge, this review provides a forward-looking roadmap highlighting vital innovations toward LTCM, and elaborates on the impacts of LTCM through a three-hierarchy perspective: data, parameters, and systems. First, we demonstrate the crit. needs and challenges of LTCM in natural resource water, drinking water, and wastewater systems, and differentiate LTCM from existing short-term and discrete monitoring techniques. We then elucidate three steps to achieve LTCM in water systems, consisting of data acquisition (water sensors), data processing (machine learning algorithms), and data application (with modeling and process control as two examples). Finally, we explore future opportunities of LTCM in four key domains, water, energy, sensing, and data, and underscore strategies to transfer scientific discoveries to general end-users.
- 20Ateia, M.; Wei, H.; Andreescu, S. Sensors for Emerging Water Contaminants: Overcoming Roadblocks to Innovation. Environ. Sci. Technol. 2024, 58 (6), 2636– 2651, DOI: 10.1021/acs.est.3c09889There is no corresponding record for this reference.
- 21Steele, J. A.; Blackwood, A. D.; Griffith, J. F.; Noble, R. T.; Schiff, K. C. Quantification of pathogens and markers of fecal contamination during storm events along popular surfing beaches in San Diego, California. Water Res. 2018, 136, 137– 149, DOI: 10.1016/j.watres.2018.01.05657https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BC1cXjs1OhtLc%253D&md5=1e9d3795f9f3f751a7e9757f4c448e32Quantification of pathogens and markers of fecal contamination during storm events along popular surfing beaches in San Diego, CaliforniaSteele, Joshua A.; Blackwood, A. Denene; Griffith, John F.; Noble, Rachel T.; Schiff, Kenneth C.Water Research (2018), 136 (), 137-149CODEN: WATRAG; ISSN:0043-1354. (Elsevier Ltd.)Along southern California beaches, the concns. of fecal indicator bacteria (FIB) used to quantify the potential presence of fecal contamination in coastal recreational waters have been previously documented to be higher during wet weather conditions (typically winter or spring) than those obsd. during summer dry weather conditions. FIB are used for management of recreational waters because measurement of the bacterial and viral pathogens that are the potential causes of illness in beachgoers exposed to stormwater can be expensive, time-consuming, and tech. difficult. We applied these assays across multiple storm events from two different watersheds that discharge to popular surfing beaches in San Diego, CA. Multiple lines of evidence indicated that the stormwater discharges contained human fecal contamination, despite the presence of sep. storm sewer and sanitary sewer systems in both watersheds. This study is one of the few to directly measure an array of important bacterial and viral pathogens in stormwater discharges to recreational beaches, and provides context for stormwater-based management of beaches during high risk wet-weather periods. Furthermore, the combination of culture-based and digital PCR-derived data is demonstrated to be valuable for assessing hydrog. relationships, considering delivery mechanisms, and providing foundational exposure information for risk assessment.