Brenna M. Sweetman, Cayla Dean, Lisa Auermuller, Kathryn Noel Tremblay, Christopher Katalinas, Shannan Lewinski, Lori Cary-Kothera, Audra Luscher-Aissaoui
{"title":"User needs for coastal inundation at climate time scales: A multi-sectoral case study in the coproduction of knowledge","authors":"Brenna M. Sweetman, Cayla Dean, Lisa Auermuller, Kathryn Noel Tremblay, Christopher Katalinas, Shannan Lewinski, Lori Cary-Kothera, Audra Luscher-Aissaoui","doi":"10.1111/1752-1688.13230","DOIUrl":"https://doi.org/10.1111/1752-1688.13230","url":null,"abstract":"<p>Coastal regions are becoming increasingly vulnerable to flooding. Due to growing risk, there is a need for a variety of accessible flood inundation services and information to improve resilience and adaptation outcomes. To better understand these needs the National Oceanic and Atmospheric Administration's Office for Coastal Management and the Center for Operational Oceanographic Products and Services collaborated to host five virtual workshops during the COVID-19 pandemic to understand inundation needs and deficits of five professional sectors: coastal planning, transportation and navigation, realty and insurance, health and human services, and natural resource and floodplain managers. This paper outlines the information collected from these workshops, shares recommendations for future research to improve equitable coastal resilience and highlights the value of remote engagement for knowledge coproduction. From the project results, we share cross-cutting topics that emerged and propose a need for greater equity, inclusive engagement, interagency coordination and future research directions through scientist-stakeholder coproduction workshops for improved coastal resilience.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 6","pages":"1162-1174"},"PeriodicalIF":2.6,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13230","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762759","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}
Tracie-Lynn Nadeau, Dana Hicks, Robert A. Coulombe
{"title":"Function and watershed-based stream mitigation: Lessons from a program development and implementation odyssey in the Western United States","authors":"Tracie-Lynn Nadeau, Dana Hicks, Robert A. Coulombe","doi":"10.1111/1752-1688.13225","DOIUrl":"https://doi.org/10.1111/1752-1688.13225","url":null,"abstract":"<p>To improve the quality and success of compensatory mitigation under Clean Water Act Section 404, the U.S. Army Corps of Engineers and the U.S. Environmental Protection Agency jointly promulgated regulations in 2008. These regulations promote the use of function assessments to determine appropriate compensatory mitigation to replace functions and services lost due to permitted impacts to aquatic resources and require a watershed approach to mitigation. The Oregon Removal-Fill law, administered by the Department of State Lands, has similar requirements. Despite higher level policy, there is a paucity of scientific focus at the practical level needed to improve the tools and practices required for regulatory program implementation to achieve better mitigation outcomes, contributing to an implementation gap. By describing key challenges and specific solutions, we share lessons from a 15-year interagency effort to develop and implement an integrated, function, and watershed-based stream compensatory mitigation program in Oregon. We highlight the importance of an intentional process of engagement and change management and identify outstanding science and policy needs to improve stream compensatory mitigation programs and field-scale outcomes.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 6","pages":"1120-1143"},"PeriodicalIF":2.6,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762494","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}
{"title":"Data-driven artificial intelligence-based streamflow forecasting, a review of methods, applications, and tools","authors":"Heerbod Jahanbani, Khandakar Ahmed, Bruce Gu","doi":"10.1111/1752-1688.13229","DOIUrl":"https://doi.org/10.1111/1752-1688.13229","url":null,"abstract":"<p>Data-driven artificial intelligence (DDAI) prediction has gained much attention, especially in recent years, because of its power and flexibility compared to traditional approaches. In hydrology, streamflow forecasting is one of the areas that took advantage of utilizing DDAI-based forecasting, given the weakness of the old approaches (e.g., physical-based approaches). Since many different techniques and tools have been used for streamflow forecasting, there is a new way to explore them. This manuscript reviews the recent (2011–2023) applications of DDAI in streamflow prediction. It provides a background of DDAI-based techniques, including machine learning algorithms and methods for pre-processing the data and optimizing or enhancing the machine learning approaches. We also explore the applications of DDAI techniques in streamflow forecasting. Finally, the most common tools for utilizing DDAI techniques in streamflow forecasting are presented.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 6","pages":"1095-1119"},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13229","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762198","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}
Daniel Philippus, Claudia R. Corona, Terri S. Hogue
{"title":"Improved annual temperature cycle function for stream seasonal thermal regimes","authors":"Daniel Philippus, Claudia R. Corona, Terri S. Hogue","doi":"10.1111/1752-1688.13228","DOIUrl":"https://doi.org/10.1111/1752-1688.13228","url":null,"abstract":"<p>Seasonal regimes of stream temperatures are important for ecological health as well as for societal water use. Seasonal regimes can be captured in the annual temperature cycle (the mean temperature for each day of the year) or in summary statistics such as seasonal mean temperatures, the former of which is the focus of this work. The annual temperature cycle is often characterized as a sine function, which performs satisfactorily for most streams. However, the sine function is unable to capture major seasonal variations, particularly for colder, drier, and high-elevation regions. Seasonal summary statistics are effective for classification but do not capture the full time series, preventing the use of lost time-series information, and lack context for the comparison of trends, hindering distinction between different causes of similar seasonal trends. We propose an improved function called the “three-sine model” to describe the stream annual temperature cycle with higher accuracy and demonstrate its use in two case studies. The three-sine model uses a cosine function over the entire year coupled with two seasonal anomaly sine functions. The three-sine model captures the stream annual temperature cycle with eight parameters, reveals distinct spatial trends, and outperforms the sinusoidal model for all elevations and 99% of streams. We conclude that this approach can support improved stream temperature analysis by capturing detailed seasonal trends in context.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 6","pages":"1080-1094"},"PeriodicalIF":2.6,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762862","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}
Alexander T. Michalek, Felipe Quintero, Gabriele Villarini
{"title":"Contiguous United States hydrologic modeling using the Hillslope Link Model TETIS","authors":"Alexander T. Michalek, Felipe Quintero, Gabriele Villarini","doi":"10.1111/1752-1688.13227","DOIUrl":"https://doi.org/10.1111/1752-1688.13227","url":null,"abstract":"<p>Large-scale hydrologic modeling is important for understanding changes in water resources and flood hazard across a broad range of climatic and hydrologic conditions. Parsimonious models, although simple, allow for an efficient way to model river systems across multiple decades to even centuries. Therefore, this study aims to assess the ability of the distributed Hillslope Link Model (HLM) TETIS to simulate streamflow observations across the contiguous United States (CONUS) from 1981 to 2020. To obtain model parameters across this domain, we partition the study area into 234 HydroSHEDS level 5 basins and calibrate the model to a single representative location near the outlet of each basin using dynamical dimension search for 100 realizations. Performance is then assessed at 5046 US Geological Survey streamgages with respect to the Kling Gupta Efficiency (KGE) and bias. Our simulations result in a median KGE of 0.43, with 89% of the sites having a value above the reference of 1 − √2 (~ -0.41). Furthermore, there is a dependence of the model performance on climate regions, with the model performing better in basins in cold and temperate regions than in arid ones. While the parameters are estimated based on daily precipitation inputs, it is shown that the model performs well even when forced with hourly precipitation, highlighting the robustness of the selected parameters to different inputs. Finally, the soil related parameters show dependence on soil properties, providing a basis for future model improvement. Overall, this study highlights the model's flexibility in performing across a vast domain with different runoff generation mechanisms.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 6","pages":"1058-1079"},"PeriodicalIF":2.6,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13227","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762341","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":"Is the ordinary high water mark ordinarily at bankfull? Applying a weight-of-evidence approach to stream delineation","authors":"Gabrielle C. L. David, Daniel Hamill","doi":"10.1111/1752-1688.13226","DOIUrl":"https://doi.org/10.1111/1752-1688.13226","url":null,"abstract":"<p>The ordinary high water mark (OHWM) is a regulatory boundary essential to identifying the lateral jurisdictional limits of rivers and streams in the United States (U.S.). Bankfull is a scientific concept that has been defined and identified in a multitude of ways by scientists. Geomorphologist and hydrologist have long recognized that there can be variability in the identification of bankfull depending on how bankfull is defined. Furthermore, this variability is only increased by the inherent variability in stream characteristics that occurs along a reach of channel. Because of the overlap in the regulatory definition of OHWM and the scientific definitions of bankfull, one of the primary purposes of the study is to apply the definition of OHWM and compare it to bankfull in a variety of channel types in different climatic, hydrologic, and geologic settings. Our results show that there is a clear overlap between the identification of the OHWM and bankfull elevations. Regulatory practitioners are generally not specialized in fluvial geomorphology and yet are tasked with consistently and accurately identifying the OHWM in a variety of stream types throughout the U.S. Therefore, we also present how to apply a weight-of-evidence approach through a clear step-by-step process to potentially improve consistency and accuracy in identification of OHWM and bankfull by both scientists and non-scientists.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 6","pages":"1029-1057"},"PeriodicalIF":2.6,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762334","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}
Carlington W. Wallace, Heidi L. N. Moltz, Andrea Nagel, Stephanie Nummer, Karin R. Bencala
{"title":"Evaluation of reported and unreported water uses in various sectors of the Potomac basin for the year 2017","authors":"Carlington W. Wallace, Heidi L. N. Moltz, Andrea Nagel, Stephanie Nummer, Karin R. Bencala","doi":"10.1111/1752-1688.13223","DOIUrl":"https://doi.org/10.1111/1752-1688.13223","url":null,"abstract":"<p>Water resource planners and managers in the Mid-Atlantic United States typically determine the sufficiency of water supplies to meet demand by comparing (1) water use as reported to the state by individual water users to (2) metrics of water availability calculated from observed water monitoring networks. This paper focuses on determining whether this means of measuring water use is sufficient for proactive and sustainable management of water resources. The Potomac basin study area illustrates the point that, while state-reported water use databases typically cover the largest individual water users, unreported water uses can cumulatively comprise a substantial portion of the overall water use. If left unaccounted for, the system is vulnerable to human demand exceeding supplies, with attendant detrimental effects to aquatic habitats and organisms, especially given the exacerbating effects of climate change on the variability of water supplies. Planners and managers are therefore encouraged to consider the full spectrum of water uses, regardless of state reporting requirements.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 5","pages":"1008-1028"},"PeriodicalIF":2.6,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430189","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}
Jaime R. Goode, Robert J. Hawley, Robert H. Lewis, Bethany Mulhall
{"title":"Rapid geomorphic assessment walkabouts as a tool for stream mitigation monitoring","authors":"Jaime R. Goode, Robert J. Hawley, Robert H. Lewis, Bethany Mulhall","doi":"10.1111/1752-1688.13222","DOIUrl":"10.1111/1752-1688.13222","url":null,"abstract":"<p>Monitoring of compensatory stream mitigation projects conventionally relies on spatially discrete geometric data and habitat assessments collected from representative reaches. Project success is evaluated by extrapolating site-scale metrics such as rapid bioassessment protocol (RBP) scores and time-series changes in width-to-depth ratios to adjacent reaches. For example, an excellent RBP score at one location is used to infer excellent habitat in nearby reaches. This paper compares spatially discrete and continuous monitoring data from 38 km of restored stream length on a stream mitigation project in central Kentucky to document how conventional site-level metrics may not represent conditions in adjacent reaches, particularly on projects plagued by post-construction geomorphic instability (e.g., headcut migration, propagation of bank erosion, and chute cutoff formation). Over a 5-year monitoring period, rapid visual assessment walkabouts documented project-scale geomorphic process trajectories that were not captured by conventional site-specific monitoring. Early detection of geomorphic instability from this rapid monitoring approach facilitated cost-effective and tailored adaptive management (e.g., planting of live stakes to arrest bank erosion). Full-census walkabouts can thereby help to improve mitigation credit valuation, enhance long-term habitat protection, and facilitate successful steam restoration outcomes.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 5","pages":"991-1007"},"PeriodicalIF":2.6,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13222","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664007","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}
Barry Hibbs, Camila Bautista, Lillian Alwood, Margaret Drummond
{"title":"Hydrogeologic and hydrochemical inputs to emerging wetlands on the shores of the receding Salton Sea, California","authors":"Barry Hibbs, Camila Bautista, Lillian Alwood, Margaret Drummond","doi":"10.1111/1752-1688.13220","DOIUrl":"10.1111/1752-1688.13220","url":null,"abstract":"<p>The Salton Sea has experienced significant recession over the past two decades due to changes in the diversion of Colorado River water to the Salton Trough for agricultural irrigation. As a result, wetlands have emerged in some exposed playa areas along the Salton Sea, primarily in regions with extensive agricultural return flows and agricultural drainage. One notable wetland system, known as the Bombay Beach Wetlands, has formed on the north shore of the Salton Sea, in an area devoid of agriculture. In many other areas with limited or no agriculture, wetlands have failed to develop, leaving exposed playa surfaces as the Salton Sea recedes. These dry playa surfaces pose a significant threat to the health of local residents due to the presence of toxins contained in windblown dust associated with playa deposits. In this study, stable water isotope data, combined with other hydrological information, led to identification of two potential water sources for the Bombay Beach Wetlands. The first possibility proposes that thermal artesian waters alone contribute to the wetlands' water source, while the second hypothesis involves a combination of drainage from Salton Sea bank storage water mixing with the thermal artesian water. The thermal artesian water discharges into drainage channels that flow towards the Bombay Beach Wetlands, initially devoid of possible groundwater baseflow until reaching the wetlands. Studies were subsequently done along the full reach of the drainage channels receiving thermal artesian water. Dissolved solids content, P and N nutrients, arsenic, and stable water isotopes were tested synoptically along the drainage channels. Channel investigations led to the development of a novel model of salinization, which is linked to channel discharge, channel morphometrics, and channel incision.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 5","pages":"953-971"},"PeriodicalIF":2.6,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837978","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}
Elijah N. Boardman, Carl E. Renshaw, Robert K. Shriver, Reggie Walters, Bruce McGurk, Thomas H. Painter, Jeffrey S. Deems, Kat J. Bormann, Gabriel M. Lewis, Evan N. Dethier, Adrian A. Harpold
{"title":"Sources of seasonal water supply forecast uncertainty during snow drought in the Sierra Nevada","authors":"Elijah N. Boardman, Carl E. Renshaw, Robert K. Shriver, Reggie Walters, Bruce McGurk, Thomas H. Painter, Jeffrey S. Deems, Kat J. Bormann, Gabriel M. Lewis, Evan N. Dethier, Adrian A. Harpold","doi":"10.1111/1752-1688.13221","DOIUrl":"10.1111/1752-1688.13221","url":null,"abstract":"<p>Uncertainty attribution in water supply forecasting is crucial to improve forecast skill and increase confidence in seasonal water management planning. We develop a framework to quantify fractional forecast uncertainty and partition it between (1) snowpack quantification methods, (2) variability in post-forecast precipitation, and (3) runoff model errors. We demonstrate the uncertainty framework with statistical runoff models in the upper Tuolumne and Merced River basins (California, USA) using snow observations at two endmember spatial resolutions: a simple snow pillow index and full-catchment snow water equivalent (SWE) maps at 50 m resolution from the Airborne Snow Observatories. Bayesian forecast simulations demonstrate a nonlinear decrease in the skill of statistical water supply forecasts during warm snow droughts, when a low fraction of winter precipitation remains as SWE. Forecast skill similarly decreases during dry snow droughts, when winter precipitation is low. During a shift away from snow-dominance, the uncertainty of forecasts using snow pillow data increases about 1.9 times faster than analogous forecasts using full-catchment SWE maps in the study area. Replacing the snow pillow index with full-catchment SWE data reduces statistical forecast uncertainty by 39% on average across all tested climate conditions. Attributing water supply forecast uncertainty to reducible error sources reveals opportunities to improve forecast reliability in a warmer future climate.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 5","pages":"972-990"},"PeriodicalIF":2.6,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682918","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}