PLOS water最新文献

{"title":"Evaluating Clean Water Act progress drivers for Idaho rivers and streams 2002–2022","authors":"Jason Williams","doi":"10.1371/journal.pwat.0000112","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000112","url":null,"abstract":"In the United States, the Clean Water Act (CWA) is the primary legislation driving surface water quality management. Its goal is to “restore and maintain the chemical, physical, and biological integrity of the Nation’s waters.” Section 305(b) of the CWA requires states to document CWA progress by reporting whether applicable water quality standards are achieved for all state waters every two years. Developing strategies for increasing the proportion of waters achieving standards requires diagnosing factors driving 305(b) data temporal trends. This analysis demonstrates how systematically analyzing 305(b) data in new ways can help document CWA progress (or lack thereof) and associated drivers. Idaho 305(b) data were used to evaluate the relative contribution of assessment progress and restoration to 2002–2022 Idaho 305(b) temporal trends. Assessment progress was defined as assessing unassessed waters and correcting assessment errors. Restoration was defined as changes from not achieving one or more standards to achieving all assessed standards because water quality improved. From 2002–2022, the percentage of Idaho stream kilometers achieving all assessed standards increased from 24% to 32%. Systematically evaluating reasons for stream status changes revealed this trend was driven primarily by assessment progress, specifically progress monitoring previously unassessed waters in good condition and correcting prior assessment errors. More stream km changed from impaired to unimpaired because prior assessment errors were corrected than because water quality improved. In each biennial 305(b) report ≤ 5% of all stream km changing status resulted from water quality improvement. As of 2022, more state stream km were impaired (39%) than unassessed (29%) and restoration success rates will likely become the primary driver of 305(b) temporal trends in the future. Systematically analyzing 305(b) data in new ways may help develop new empirically driven strategies for accelerating CWA progress and merits further investigation.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47669971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global microbial water quality data and predictive analytics: Key to health and meeting SDG 6","authors":"J. Rose, N. Hofstra, Erica Hollmann, P. Katsivelis, G. Medema, H. Murphy, C. Naughton, M. Verbyla","doi":"10.1371/journal.pwat.0000166","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000166","url":null,"abstract":"Microbial water quality is an integral to water security and is directly linked to human health, food safety, and ecosystem services. However, specifically pathogen data and even faecal indicator data (e.g., E. coli), are sparse and scattered, and their availability in different water bodies (e.g., groundwater) and in different socio-economic contexts (e.g., low- and middle-income countries) are inequitable. There is an urgent need to assess and collate microbial data across the world to evaluate the global state of ambient water quality, water treatment, and health risk, as time is running out to meet Sustainable Development Goal (SDG) 6 by 2030. The overall goal of this paper is to illustrate the need and advocate for building a robust and useful microbial water quality database and consortium worldwide that will help achieve SDG 6. We summarize available data and existing databases on microbial water quality, discuss methods for producing new data on microbial water quality, and identify models and analytical tools that utilize microbial data to support decision making. This review identified global datasets (7 databases), and regional datasets for Africa (3 databases), Australia/New Zealand (6 databases), Asia (3 databases), Europe (7 databases), North America (12 databases) and South America (1 database). Data are missing for low- and middle-income countries. Increased laboratory capacity (due to COVID-19 pandemic) and molecular tools can identify potential pollution sources and monitor directly for pathogens. Models and analytical tools can support microbial water quality assessment by making geospatial and temporal inferences where data are lacking. A genomics, information technology (IT), and data revolution is upon us and presents unprecedented opportunities to develop software and devices for real-time logging, automated analysis, standardization, and modelling of microbial data to strengthen knowledge of global water quality. These opportunities should be leveraged for achieving SDG 6 around the world.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66578871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cholera risk in Lusaka: A geospatial analysis to inform improved water and sanitation provision","authors":"Peter W. Gething, Sophie Ayling, Josses Mugabi, Odete Duarte Muximpua, Solomon Sitinadziwe Kagulura, George Joseph","doi":"10.1371/journal.pwat.0000163","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000163","url":null,"abstract":"Urbanization combined with climate change are exacerbating water scarcity for an increasing number of the world’s emerging cities. Water and sanitation infrastructure (WSS), which in the first place was largely built to cater only to a small subsector of developing city populations, is increasingly coming under excessive strain. In the rapidly growing cities of the developing world, infrastructure expansion does not always keep pace with population demand, leading to waterborne diseases such as cholera (Vibrio cholerae) and typhoid ( Salmonella serotype Typhi ). Funding gaps make targeting efficient spending on infrastructure essential for reducing the burden of disease. This paper applies geospatial analysis in Lusaka, Zambia for the cholera outbreak of October 2017—May 2018, to identify different WSS investment scenarios and their relative impact on reducing the risk of cholera in the city. The analysis uses cholera case location data and geospatial covariates, including the location of networked and non-networked WSS infrastructure, groundwater vulnerability, and drainage, to generate a high-resolution map of cholera risk across the city. The analysis presents scenarios of standalone or combined investments across sewerage expansion and maintenance; on-site sanitation improvements; piped water network expansion and quality; and ensuring the safety of point-source water. It identifies the investment most strongly correlated with the largest reduction in cholera risk as the provision of flush-to-sewer infrastructure citywide. However, it also considers the trade-offs in terms of financial cost vs. health benefits and takes note of where the next highest health benefits could be achieved for a much lower cost. Finally, the analysis was conducted during the restructuring of an existing World Bank investment, the Lusaka Sanitation Program (LSP), and identifies the most efficient investment at the time as partial sanitation scale-up and investment in piped water in wards where cholera risk was the highest.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135621386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Waterborne viruses in urban groundwater environments","authors":"M. Rusiñol","doi":"10.1371/journal.pwat.0000168","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000168","url":null,"abstract":"The proportion of global population using urban aquifers as drinking water sources increases every year and indeed the groundwater quality is not monitored adequately. Although norovirus has been identified as the first cause of groundwater-related outbreaks, the surveillance of waterborne viruses has been rather neglected. From ageing or disrupted sewer systems, occasional sewer discharges (e.g. combined sewer overflows, storm runoff), to poorly managed reclaimed water infiltration practices, multiple are the pathways that cause groundwater quality deterioration. This study revises the main viral contamination sources and the factors affecting viral contamination of groundwater bodies in terms of transport, inactivation, and survival of the viral particles. It also summarizes the methods used for those reporting the presence of human viruses in urban groundwaters. A total of 36 articles have been included in the method survey spanning a period of 24 years (1999–2022). There is a need of systematic monitoring considering representative set of waterborne pathogens. The evaluation of the presence of human adenovirus seems a useful tool to predict the presence of other waterborne pathogens in groundwater. Large volume sampling methods, but also new passive sampling methodologies applied to groundwater, coupled to target massive sequencing approaches may elucidate the range of pathogens capable of contaminating urban groundwaters for further evaluation of risk.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44502673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging high spatiotemporal resolution data of pesticides applied to agricultural fields in California to identify toxicity reduction opportunities","authors":"Nicol Parker, Ashley Larsen, P. Banerjee, A. Keller","doi":"10.1371/journal.pwat.0000124","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000124","url":null,"abstract":"Pesticides remain a leading environmental hazard, imperiling aquatic and terrestrial ecosystems. Reducing pesticide toxicity is hampered by the ability to evaluate toxicity over large extents, the spatiotemporal resolution of pesticide use data, the ability to assess cumulative toxicity, and the identification of health/economic contributions of different pesticide application sites. We introduce the Environmental Release Tool, a sub-tool of the Pesticide Mitigation Prioritization Model, to advance these four areas. Using daily pesticide use reports required for agricultural applicators in California, we quantify the applied toxicity of pesticides to fish as well as aquatic invertebrates, nonvascular plants, and vascular plants. With the tool’s ability to quantify applied toxicity for hundreds of pesticides and watersheds simultaneously, we explore the significance of accounting for cumulative applied pesticide toxicity for application sites and watersheds statewide. Our results show that 14 pesticides account for 99.9% of applied toxicity, and 16 of 432 application site types introduce 90% of toxicity for taxa investigated. We also find cumulative applied toxicity within watersheds was significantly greater (p <1.0 E-16) than the maximum impact pesticide for all taxonomic groups, with a mean-annual difference of 460–630%. While cumulative applied toxicity was significant, and sources varied in individual watersheds, the net applied toxicity can be approximated with a short list of active ingredients and site types.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47179742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water funds within village savings and loans associations: A promising solution to improve water user fee collection in rural Uganda","authors":"K. Marshall, K. Setty, Allan Mutegeki, Rachel Peletz, Ranjiv Khush, Caroline Delaire","doi":"10.1371/journal.pwat.0000159","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000159","url":null,"abstract":"Without a functional revenue collection mechanism, rural communities in low-income countries cannot maintain or repair broken water supply infrastructure, such as groundwater wells equipped with handpumps. One approach to promote regular water user payments shifts responsibilities for fee collection from volunteer committees to village savings and loans associations (VSLAs; self-governed investment groups that follow strong accountability practices). We piloted this approach among 10 communities in Kabarole district, Uganda, and evaluated financial outcomes over two years. Qualitative interviews with 249 respondents helped identify drivers of performance and challenges. VSLAs contributed 47–221 USD annually (first-year median: 134 USD, second-year median: 112 USD) for water point upkeep (achieving 45–117% of target amounts). This revenue represented a considerable improvement over the prior scenario where communities had no reserve funds for water point maintenance. Financial transparency and increased social capital appeared to enhance collective efficacy and increase user fee collection. We identified two main threats to VSLA sustainability: perceived unfairness stemming from some water point users not joining the VSLA and the risk of water funds being loaned out if they remained unspent for too long. Coupling the VSLA model with professional handpump maintenance services could help ensure improved long-term water point functionality.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49344846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gridded precipitation products on the Hindu Kush-Himalaya: Performance and accuracy of seven precipitation products","authors":"Bhogendra Mishra, S. Panthi, Bhoj Raj Ghimire, Shobha Poudel, Bijaya Maharjan, Y. Mishra","doi":"10.1371/journal.pwat.0000145","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000145","url":null,"abstract":"Climate change is expected to change precipitation and temperature patterns, which will impact the hydrological regime in Asia. Most river systems in the region originate from the Hindu Kush-Himalayas, and the altered precipitation patterns pose a threat to their sustainability, making it a major concern for planners and stakeholders. Obtaining accurate data on precipitation distribution is crucial for water accounting, which poses challenge. To address this, gridded precipitation products developed from satellite imagery and modeling techniques have become a viable alternative or addition to observed rainfall. However, the accuracy of these products in the region is uncertain. In this study, we aim to evaluate and compare the seven most commonly used precipitation products for the regions to address this gap. The study evaluated seven rainfall products, namely APHRODITE, TRMM, CHIRPS, PERSIANN-CDR, CMORPH, WFDEI, and GPCC by comparing daily, dekadal, and monthly rainfall data to 168 stations data in six countries and 11 river basins in the HKH region. The analysis used four continuous statistical indicators (Pearson correlation coefficient, Bias, Root Mean Square Error, and Nash–Sutcliffe Efficiency coefficient) and two categorical indicators (Probability of Detection and False Alarm Ratio). APHRODITE consistently performed well in several basins with high r values and low RMSE values, but had positive or negative bias values in different basins. CMORPH had the lowest positive bias value in the Ganga_Brahmaputra basin, while GPCC showed the largest r value and lowest RMSE value in the Sindha basin. CHIRPS performed well in Afghanistan, but had positive bias values. GPCC performed well in Myanmar and Pakistan, but had negative or positive bias values. APHRODITE performed consistently well in Nepal, but had negative bias values. Overall, the performance of different gridded precipitation products varies depending on the country and type of evaluation.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43218917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Securing urban water supply through reservoir reoperation–An analysis of power resources and equity in cases from India, Spain and the USA","authors":"Laura Turley","doi":"10.1371/journal.pwat.0000097","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000097","url":null,"abstract":"This paper examines intersectoral water allocation, in particular how cities secure water vis-à-vis rural users, and assesses the equity of this (re)allocation. We use the distribution theory of institutional change, and argue that urban water providers mobilize power resources (positional, financial and informational) to secure water. We adapt the Institutional Analysis and Development (IAD) framework to study this empirically, with case studies from India, Spain and the United States that centre around a large reservoir and its reoperation. Results show the importance of financing power in all cases, and also suggest that cities may lack the positional power needed to implement drinking water priorities. The ‘hybrid equity approach’ reveals the diversity of equity considerations on rural-to-urban water reallocation, both in terms of local perspectives and also regarding universal equity principles. Finally, it is fruitful to study power and equity together, as the former generally has profound distributional and procedural implications which are at the heart of equity.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41643162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering","authors":"R. Muñoz‐Carpena, Alvaro Carmona-Cabrero, Ziwen Yu, G. Fox, O. Batelaan","doi":"10.1371/journal.pwat.0000059","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000059","url":null,"abstract":"Hydrology is a mature physical science based on application of first principles. However, the water system is complex and its study requires analysis of increasingly large data available from conventional and novel remote sensing and IoT sensor technologies. New data-driven approaches like Artificial Intelligence (AI) and Machine Learning (ML) are attracting much “hype” despite their apparent limitations (transparency, interpretability, ethics). Some AI/ML applications lack in addressing explicitly important hydrological questions, focusing mainly on “black-box” prediction without providing mechanistic insights. We present a typology of four main types of hydrological problems based on their dominant space and time scales, review their current tools and challenges, and identify important opportunities for AI/ML in hydrology around three main topics: data management, insights and knowledge extraction, and modelling structure. Instead of just for prediction, we propose that AI/ML can be a powerful inductive and exploratory dimension-reduction tool within the rich hydrological toolchest to support the development of new theories that address standing gaps in changing hydrological systems. AI/ML can incorporate other forms of structured and non-structured data and traditional knowledge typically not considered in process-based models. This can help us further advance process-based understanding, forecasting and management of hydrological systems, particularly at larger integrated system scales with big models. We call for reimagining the original definition of AI in hydrology to incorporate not only today’s main focus on learning, but on decision analytics and action rules, and on development of autonomous machines in a continuous cycle of learning and refinement in the context of strong ethical, legal, social, and economic constrains. For this, transdisciplinary communities of knowledge and practice will need to be forged with strong investment from the public sector and private engagement to protect water as a common good under accelerated demand and environmental change.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41369621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Public toilets have reduced enteric pathogen hazards in San Francisco","authors":"Troy Barker, Drew Capone, Heather K. Amato, Ryan Clark, Abigail Henderson, David A. Holcomb, Elizabeth Kim, Jillian Pape, Emily Parker, Thomas VanderYacht, Jay Graham, Joe Brown","doi":"10.1371/journal.pwat.0000152","DOIUrl":"https://doi.org/10.1371/journal.pwat.0000152","url":null,"abstract":"Uncontained fecal wastes in cities may present exposure risks to the public. We collected discarded feces from public spaces in San Francisco, CA for analysis by RT-qPCR for a range of enteric pathogens. Out of 59 samples, we found 12 (20%) were of human origin and 47 (80%) were non-human; 30 of 59 stools were positive for ≥1 of the 35 pathogens assessed, including pathogenic E . coli , Shigella , norovirus, Cryptosporidium , and Trichuris . Using quantitative enteric pathogen estimates and data on observed fecal waste from a public reporting system, we modeled pathogens removed from the environment attributable to a recently implemented program of public toilet construction. We estimated that each new public toilet reduced the annual number of enteric pathogens released into the immediate environment (within 500 m walking distance), including 6.3 x 10 12 enteropathogenic E . coli (95% CI: 4.0 x 10 12 –7.9 x 10 12 ), 3.2 x 10 11 enteroaggregative E . coli (95% CI: 1.3 x 10 11 –6.3 x 10 11 ), and 3.2 x 10 8 Shigella (6.3 x 10 7 –2.5 x 10 9 ). Improving access to public sanitation can reduce enteric pathogen hazards in cities. Interventions must also consider the hygienic disposal of animal waste to reduce microbial hazards with zoonotic infection potential.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135015145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}