Joseph L. Gutenson, Kent H. Sparrow, Stephen W. Brown, Mark D. Wahl, Kyle B. Gordon
{"title":"Case study of continental-scale hydrologic modeling's ability to predict daily streamflow percentiles for regulatory application","authors":"Joseph L. Gutenson, Kent H. Sparrow, Stephen W. Brown, Mark D. Wahl, Kyle B. Gordon","doi":"10.1111/1752-1688.13189","DOIUrl":"10.1111/1752-1688.13189","url":null,"abstract":"<p>Regulatory practitioners use hydroclimatic data to provide context to observations typically collected through field site visits and aerial imagery analysis. In the absence of site-specific data, regulatory practitioners must use proxy hydroclimatic data and models to assess a stream's hydroclimatology. One intent of current-generation continental-scale hydrologic models is to provide such hydrologic context to ungaged watersheds. In this study, the ability of two state-of-the-art, operational, continental-scale hydrologic modeling frameworks, the National Water Model and the Group on Earth Observation Global Water Sustainability (GEOGloWS) European Centre for Medium-Range Weather Forecasts (ECMWF) Streamflow Model, to produce daily streamflow percentiles and categorical estimates of the streamflow normalcy was examined. The modeled streamflow percentiles were compared to observed daily streamflow percentiles at four United States Geological Survey stream gages. The model's performance was then compared to a baseline assessment methodology, the Antecedent Precipitation Tool. Results indicated that, when compared to baseline assessment techniques, the accuracy of the National Water Model (NWM) or GEOGloWS ECMWF Streamflow Model was greater than the accuracy of the baseline assessment methodology at four stream gage locations. The NWM performed best at three of the four gages. This work highlighted a novel application of current-generation continental-scale hydrologic models.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"461-479"},"PeriodicalIF":2.4,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139532440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prabodh Kumar, Ganesh Paramasivam, Tom Devasia, Mukund Prabhu, Maneesh K Rai, K Prakashini, Sandeep Mallya, Dinesh Reghunathan, A Megha, Krishnananda Nayak, Rajasekhar Moka
{"title":"A Novel <i>TPM1</i> Mutation Causes Familial Hypertrophic Cardiomyopathy in an Indian Family: Genetic and Clinical Correlation.","authors":"Prabodh Kumar, Ganesh Paramasivam, Tom Devasia, Mukund Prabhu, Maneesh K Rai, K Prakashini, Sandeep Mallya, Dinesh Reghunathan, A Megha, Krishnananda Nayak, Rajasekhar Moka","doi":"10.1007/s12291-022-01036-w","DOIUrl":"10.1007/s12291-022-01036-w","url":null,"abstract":"<p><p>Hypertrophic cardiomyopathy (HCM) is a common inherited cardiac disorder characterised by unexplained left ventricular hypertrophy in the absence of abnormal loading conditions. The global prevalence of HCM is estimated to be 1 in 250 in the general population. It is caused due to mutations in genes coding for sarcomeric proteins. α-tropomyosin <i>(TPM1)</i> is an important protein in the sarcomeric thin filament which regulates sarcomere contraction. Mutations in <i>TPM1</i> are known to cause hypertrophic cardiomyopathy, dilated cardiomyopathy and left ventricular non-compaction. Mutations in <i>TPM1</i> causing hypertrophic cardiomyopathy are < 1%. However, some high-risk mutations causing sudden cardiac death are also known in this gene. We present a case of a novel heterozygous <i>TPM1</i> mutation, NM_001018005.2:c.203A>G, p.Gln68Arg; co-segregating in an Indian family with hypertrophic cardiomyopathy. Our report expands the mutational spectrum of HCM due to <i>TPM1</i> and provides the correlated cardiac phenotype.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"21 1","pages":"142-145"},"PeriodicalIF":2.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10784234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85343819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of nutrient credit trading for total maximum daily load compliance by the urban stormwater sector: Evidence from Virginia's Municipal Separate Storm Sewer Systems","authors":"William N. Ferris, Kurt Stephenson","doi":"10.1111/1752-1688.13176","DOIUrl":"10.1111/1752-1688.13176","url":null,"abstract":"<p>Water quality credit trading has been advanced as a cost-effective means of achieving regulatory compliance. However, the volume of trading activity in operational programs is typically less than estimated by empirical analysis. The compliance behavior of Virginia Municipal Separate Storm Sewer Systems (MS4s) is studied in response to the Chesapeake Bay total maximum daily load (TMDL) to understand the circumstances in which trading is adopted, the extent to which trading is adopted, and the factors contributing to trading's use or nonuse. Results indicate that MS4s generally prefer to install their own pollutant control measures rather than trade. Many MS4s, however, rely on trade as a backup compliance option. MS4s favor bay compliance options that help meet other local management objectives (erosion control, infrastructure protection, and reductions toward local water quality objectives) and provide long term pollutant control benefits. Low cost term credits do not provide such benefits. For perpetual credits, MS4s use a variety of strategies to substantially reduce the cost differences between trade and nontrade compliance options.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"392-405"},"PeriodicalIF":2.4,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. W. Downs, P. J. Soar, A. L. Cox, D. S. Biedenharn, T. A. Dahl, C. P. Haring, C. R. Thorne
{"title":"Visioning channel evolution for river management: Toward a functional decision support framework","authors":"P. W. Downs, P. J. Soar, A. L. Cox, D. S. Biedenharn, T. A. Dahl, C. P. Haring, C. R. Thorne","doi":"10.1111/1752-1688.13183","DOIUrl":"10.1111/1752-1688.13183","url":null,"abstract":"<p>Improvements in simulating and communicating the evolutionary trajectory of river morphology in response to environmental forcing over multi-decadal timeframes would foreshadow the development of “foresight competency” in river management, whereby resource managers could strategically plan toward the most preferred of several plausible futures. Of the six steps in foresight competency, visioning, which involves translating scientific forecasts into a format useable by resource managers via a user-friendly and interactive decision support tool that supports transparent decision-making, is the least well developed. The approach requires converting forecasting model outputs into metrics of channel evolution that highlight transitions either within or between channel morphology states. Here, seven process-based state transition metrics are proposed covering channel planform, morphological stability, corridor belt width, floodplain connectivity, bank erosion rate, bedform habitat diversity, and ecohydraulic diversity. To aid decision support, the metrics are converted into graphical indicators that are intuitive for management use and assembled into several prototype dashboard-style graphical user interfaces designed to facilitate interactivity. A proof-of-concept illustration is provided and priorities in development toward a fully operational decision support tool are discussed. Such developments are critical in ensuring the practical relevance of geomorphology.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"442-460"},"PeriodicalIF":2.4,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manas Khan, Liang Chen, Momcilo Markus, Rabin Bhattarai
{"title":"A probabilistic approach to characterize the joint occurrence of two extreme precipitation indices in the upper Midwestern United States","authors":"Manas Khan, Liang Chen, Momcilo Markus, Rabin Bhattarai","doi":"10.1111/1752-1688.13187","DOIUrl":"10.1111/1752-1688.13187","url":null,"abstract":"<p>Extreme precipitation-related hazards like flash floods pose a widespread risk to humans and infrastructure around the world. In the current study, the Fisher information was applied to understand the nonstationarity of the extreme precipitation regimes, whereas copula was used to quantify the likelihood of joint occurrence of two extreme precipitation indices and associated risk assessment in the upper Midwestern United States (UMUS). The trend analysis revealed an increasing trend in 37% of the stations in heavy precipitation amount in the UMUS. The regime shift analysis showed the non-stationary nature of extreme precipitation in about half of the total stations in UMUS. Further, the bivariate analysis using copula demonstrated the risk of the joint occurrence of extreme precipitation indices potentially causing flash floods. The risk index analysis indicated about 28.8% of stations under moderate, 10.6% of stations under high and 0.4% of stations under very high risk of flash flooding. The results from the study can provide important insights for the (re)design of resilient and sustainable water infrastructure in the changing climate condition and can also inform managers and planners for better response and preparedness toward extreme precipitation-related hazards in this region. The results from this study can also help in a more accurate risk assessment, especially in the socio-economically vulnerable community.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"529-542"},"PeriodicalIF":2.4,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138965782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lewis C. Linker, Gary W. Shenk, Gopal Bhatt, Richard Tian, Carl F. Cerco, Isabella Bertani
{"title":"Simulating climate change in a coastal watershed with an integrated suite of airshed, watershed, and estuary models","authors":"Lewis C. Linker, Gary W. Shenk, Gopal Bhatt, Richard Tian, Carl F. Cerco, Isabella Bertani","doi":"10.1111/1752-1688.13185","DOIUrl":"10.1111/1752-1688.13185","url":null,"abstract":"<p>In 2020, the Chesapeake Bay Program moved to offset impacts from climate change for the 30-year period from 1995 through 2025 by having its seven watershed jurisdictions (Delaware, Maryland, New York, Pennsylvania, Virginia, West Virginia, and the District of Columbia) apply additional nutrient pollutant reduction practices. The climate change assessment was performed with integrated models of the Chesapeake watershed, airshed, and estuary. Scenarios run for the years 2025, 2035, 2045, and 2055 estimated effects from the different future climatic conditions. This article presents the results of that assessment and is intended to provide a guide to assist other modeling practitioners in assessing climate change impacts in coastal watersheds. Major influences of climate change that were quantified include increases in precipitation volume, potential evapotranspiration, watershed nutrient loads, tidal water temperature, and sea level. Minor influences quantified in the climate change analysis include changes in nutrient speciation and increases in wet deposition of nitrogen, CO<sub>2</sub>, rainfall intensity, tidal wetland loss, up-estuary salt intrusion, and phytoplankton biomass. To offset climate change impacts from 1995 to 2025 on water quality, the scenarios indicate an additional 2.3 million and 0.3 million kg of nitrogen and phosphorus per annum, respectively, will need to be reduced beyond what is called for in the Chesapeake Total Maximum Daily Load.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"499-528"},"PeriodicalIF":2.4,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongseok Yang, Seoro Lee, Jonggun Kim, Seongjoon Kim, Bernard Engel, Kyoungjae Lim
{"title":"Development of web-based hydrograph analysis tool considering seasonality and flow condition","authors":"Dongseok Yang, Seoro Lee, Jonggun Kim, Seongjoon Kim, Bernard Engel, Kyoungjae Lim","doi":"10.1111/1752-1688.13178","DOIUrl":"10.1111/1752-1688.13178","url":null,"abstract":"<p>Baseflow was proven to be the most unpredictable component of streamflow through various research. However, the recent method for estimating baseflow is due to the development of theoretical and computational techniques. This paper attempted to develop a fully automated baseflow separation system based on a recursive digital filter with an optimization algorithm for the single separation. Most of the previous baseflow separation methods use a single set of <i>a</i> parameter and BFI<sub>max</sub> (the maximum value of baseflow index), which can underestimate or overestimate the baseflow; however, the system developed in this study estimates multiple optimized <i>a</i> parameters using seasonality and flow conditions and uses them for BFI<sub>max</sub> calculation and baseflow separation. This system derived baseflow results in better understanding of watershed and streamflow tendency characteristics. This study developed a Web-based Hydrograph Analysis Tool 2020 with a user-friendly interface and new separation method regarding the seasonality and flow conditions with a fully automated python module to optimize <i>a</i> parameters and BFI<sub>max</sub>. The application to the two area show diverse parameter sets and different baseflow according to seasonality and flow conditions representing the flow characteristics. This study could be a fundamental tool for detailed watershed management decisions regarding water security in the dry season or environmental water for aquatic ecosystems.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"707-724"},"PeriodicalIF":2.4,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuqin Gao, Li Gao, Yunping Liu, Ming Wu, Zhenxing Zhang
{"title":"Assessment of water resources carrying capacity using chaotic particle swarm genetic algorithm","authors":"Yuqin Gao, Li Gao, Yunping Liu, Ming Wu, Zhenxing Zhang","doi":"10.1111/1752-1688.13182","DOIUrl":"10.1111/1752-1688.13182","url":null,"abstract":"<p>Water resources carrying capacity (WRCC) has been evaluated repeatedly to guide sustainable regional development, with the increasing conflicts over water resources between society and nature. Urban underlying surfaces are constantly changing under the rapid development of urbanization, which has changed the WRCC. The chaotic particle swarm genetic algorithm (CPSGA) is proposed in this study to evaluate the WRCC. It combines the genetic algorithm (GA), chaotic optimization algorithm (COA), and particle swarm optimization (PSO), as well as introduces the chaotic mapping of COA and the velocity position update strategy of PSO into the GA framework to strengthen the population quality and improve the algorithm's efficiency. The effectiveness of CPSGA was demonstrated using three typical functions. Nanjing, China, was used as the study area to evaluate the WRCC from 2015 to 2018. The results showed that the comprehensive evaluation scores of the WRCC of Nanjing from 2015 to 2018 were up to 0.83. In addition, the CPSGA had better astringency and stability than GA, COA, and PSO. The application indicated that the proposed methodology is feasible, providing a reference for conducting WRCC research elsewhere.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"667-686"},"PeriodicalIF":2.4,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139009518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryan C. Johnson, Steven J. Burian, Carlos A. Oroza, Carly Hansen, Emily Baur, Danyal Aziz, Daniyal Hassan, Tracie Kirkham, Jessie Stewart, Laura Briefer
{"title":"Data-driven modeling to enhance municipal water demand estimates in response to dynamic climate conditions","authors":"Ryan C. Johnson, Steven J. Burian, Carlos A. Oroza, Carly Hansen, Emily Baur, Danyal Aziz, Daniyal Hassan, Tracie Kirkham, Jessie Stewart, Laura Briefer","doi":"10.1111/1752-1688.13186","DOIUrl":"10.1111/1752-1688.13186","url":null,"abstract":"<p>Altered precipitation and temperature patterns from a changing climate will affect supply, demand, and overall municipal water system operations throughout the arid western U.S. While supply forecasts leverage hydrological models to connect climate influences with surface water availability, demand forecasts typically estimate water use independent of climate and other externalities. Stemming from an increased focus on seasonal water demand management, we use the Salt Lake City, Utah municipal water system as a test bed to assess model accuracy versus complexity trade-offs between simple climate-independent econometric-based models and complex climate-sensitive data-driven models to average to extreme wet and dry climate conditions—representative of a new climate normal. The climate-independent model displayed low performance during extreme dry conditions with predictions exceeding 90% and 40% of the observed monthly and seasonal volumetric demands, respectively, which we attribute to insufficient model complexity. The climate-sensitive models displayed greater accuracy in all conditions, with an ordinary least squares model demonstrating a measurable reduction in prediction bias (3.4% vs. −27.3%) and RMSE (74.0 lpcd vs. 294 lpcd) compared to the climate-independent model. The climate-sensitive workflow increased model accuracy and characterized climate-demand interactions, demonstrating a novel tool to enhance water system management.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"687-706"},"PeriodicalIF":2.4,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Walter K. Dodds, Sophia M. Bonjour, Molly Fisher, Laura J. Krueger, Peter J. Pfaff, Md. Abu Raihan, Olivia Rode
{"title":"A novel index reveals disconnects between recreational harmful algal bloom exposure risks and responses among U.S. states","authors":"Walter K. Dodds, Sophia M. Bonjour, Molly Fisher, Laura J. Krueger, Peter J. Pfaff, Md. Abu Raihan, Olivia Rode","doi":"10.1111/1752-1688.13181","DOIUrl":"10.1111/1752-1688.13181","url":null,"abstract":"<p>Recreational and occupational contact with freshwater harmful algal blooms (HABs) pose human health and economic risks worldwide. Individual U.S. states control monitoring, reporting, and mitigation of recreational exposure to HABs. We surveyed states to catalog responses to HAB problems. We used this data to develop a state-specific HAB response index (HABRI) and compared it to HAB risks derived from empirical nation-wide data and per capita state environmental management and public health spending. States varied in regulations, reporting, monitoring, communication, and mitigation. The HABRI was not correlated with empirically based risk. Several states had no limits on toxin exposure or limits that were higher than recommended by the USEPA or World Health Organization. Other states did not provide public signage or notification when HABs were occurring and recreation could be hazardous. Increased federal involvement, communication among states, and state and federal legislation could minimize this variation and positively influence responses. We identify best practices for addressing HABs in our study that could provide guidance to authorities in any part of the world while developing new programs or enhancing existing efforts.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"273-286"},"PeriodicalIF":2.4,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138589958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}