Journal of The American Water Resources Association最新文献_第2页

Assessing and Enhancing National Water Model Streamflow Predictions for Montane Catchments in the Northeastern United States 评估和加强美国东北部山区集水区的国家水模型流量预测

IF 2.2 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-08-26 DOI: 10.1111/1752-1688.70040

Mirce Morales-Velazquez, Beverley Wemple, James B. Shanley, Scott D. Hamshaw, John T. Kemper, Donna M. Rizzo, Kristen L. Underwood, Patrick J. Clemins, Andrew W. Schroth

{"title":"Assessing and Enhancing National Water Model Streamflow Predictions for Montane Catchments in the Northeastern United States","authors":"Mirce Morales-Velazquez, Beverley Wemple, James B. Shanley, Scott D. Hamshaw, John T. Kemper, Donna M. Rizzo, Kristen L. Underwood, Patrick J. Clemins, Andrew W. Schroth","doi":"10.1111/1752-1688.70040","DOIUrl":"https://doi.org/10.1111/1752-1688.70040","url":null,"abstract":"This study evaluates National Water Model (NWM) performance in low-order montane catchments across the northeastern United States by comparing retrospective simulations to measured observations. To address deficiencies, we develop a machine learning (ML) correction model for selected sites using LightGBM, a different approach from conventional bias correction methods. Montane, low-order streams play a crucial role in water quality and flood generation but pose challenges for streamflow prediction and are under-represented in the national streamgaging network. NWM provides streamflow forecasts across the United States; yet a focused assessment of its performance in these settings has not been comprehensively undertaken. Results indicate NWM performance varied seasonally, with the best performance during the fall and particularly poor performance during snowmelt, spring runoff, and high flow events, with a tendency towards flow underestimation. The ML correction model markedly improved hourly streamflow prediction accuracy based on continuous time series and runoff event-based metrics. Including antecedent water level measurements as input, even from distant sites, greatly improved model performance, demonstrating the potential to improve predictions by deploying supplemental low-cost water level sensors. We demonstrate that NWM performance can be improved in these complex watersheds using ML tools. This approach could be implemented elsewhere to improve NWM streamflow predictions.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905241","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}

引用次数: 0

Likelihood of Irrigation Water Efficiency and Conservation Adoption by Producers in Eastern Arkansas 阿肯色州东部生产者采用灌溉用水效率和节约用水的可能性

IF 2.2 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-08-18 DOI: 10.1111/1752-1688.70037

M. Austin Wise, Patrick Bitterman, Mark Burbach, Dawn Kopacz, Erin Haacker

{"title":"Likelihood of Irrigation Water Efficiency and Conservation Adoption by Producers in Eastern Arkansas","authors":"M. Austin Wise, Patrick Bitterman, Mark Burbach, Dawn Kopacz, Erin Haacker","doi":"10.1111/1752-1688.70037","DOIUrl":"https://doi.org/10.1111/1752-1688.70037","url":null,"abstract":"Arkansas is a leading state in groundwater use and application in the United States, as well as a top agricultural producer with a history of irrigated farming dating back over a century. Extensive monitoring of the primary irrigation water source, the Mississippi River Valley Alluvial Aquifer (alluvial aquifer), has shown a history of groundwater decline and only recent recharge. The objective of this study was to report the findings of a survey of producers in the region overlying the alluvial aquifer to determine the likelihood of adopting specific irrigation practices shown to either promote conservation of water or increase water use efficiency. This was completed using the Theory of Planned Behavior (TPB). Three models were developed to determine the adoption likelihood of tailwater recovery and surface storage, implementation of soil moisture sensors, and implementation of surge irrigation. Results show that portions of the TPB were present within each model, but that the strongest predictors were often prior adoption of other farm water management practices. It is suggested that, while social profiling may be a valuable tool to identify producers inclined to adopt farm water management practices, focus should be placed on individuals who have already adopted other practices.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869284","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}

引用次数: 0

Developing Numeric Chlorophyll a Criteria Through Science, Enhanced Monitoring, and a Collaborative Stakeholder Partnership 通过科学、加强监测和利益相关者合作伙伴关系开发叶绿素a数值标准

IF 2.2 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-08-14 DOI: 10.1111/1752-1688.70039

Tish L. Robertson, Richard A. Batiuk, Peter J. Tango, Joseph D. Wood

{"title":"Developing Numeric Chlorophyll a Criteria Through Science, Enhanced Monitoring, and a Collaborative Stakeholder Partnership","authors":"Tish L. Robertson, Richard A. Batiuk, Peter J. Tango, Joseph D. Wood","doi":"10.1111/1752-1688.70039","DOIUrl":"https://doi.org/10.1111/1752-1688.70039","url":null,"abstract":"<div>\u0000 \u0000 Chlorophyll a water quality criteria provide the means for regulating nutrient pollution in surface water systems without many of the technical challenges associated with nitrogen and phosphorus thresholds. However, the development of defensible chlorophyll a criteria is not without its own challenges, particularly in complex coastal ecosystems. We describe the evolution of water column chlorophyll a criteria specific to the Chesapeake Bay estuary, from a general narrative to numeric thresholds developed to meet multiple regulatory management goals. We then present a unique approach to numeric chlorophyll a criteria derivation, one that integrates continuous and underway water quality monitoring datasets. These datasets were used for the dual purposes of characterizing baseline conditions and determining chlorophyll a concentrations that confer unacceptable levels of risk to a specific water body in both space and time. This novel approach was used by the Commonwealth of Virginia to update the numeric chlorophyll a criteria it had originally established for the tidal James River, a subestuary of the Chesapeake Bay, in 2005. Tidal James River chlorophyll a concentrations were evaluated in terms of their relationships with harmful algal blooms, dissolved oxygen, pH, and water clarity. The importance of spatially and temporally intensive monitoring datasets to chlorophyll a criteria development is highlighted in this case study.\u0000 </div>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832509","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}

引用次数: 0

Enhancement of Sediment Routing Method of SWAT Model Considering Sediment Occurrence Trends of Rise and Fall of Streamflow 考虑水流涨落产沙趋势的SWAT模型输沙路径方法改进

IF 2.2 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-08-11 DOI: 10.1111/1752-1688.70023

Sangjoon Bak, Seoro Lee, Jeongho Han, Yeonji Jeong, Yonghun Choi, Gwanjae Lee, Bernard A. Engel, Kyoung Jae Lim

{"title":"Enhancement of Sediment Routing Method of SWAT Model Considering Sediment Occurrence Trends of Rise and Fall of Streamflow","authors":"Sangjoon Bak, Seoro Lee, Jeongho Han, Yeonji Jeong, Yonghun Choi, Gwanjae Lee, Bernard A. Engel, Kyoung Jae Lim","doi":"10.1111/1752-1688.70023","DOIUrl":"https://doi.org/10.1111/1752-1688.70023","url":null,"abstract":"Accurate quantification of sediment occurrence in river basins is essential for establishing sediment management strategies. This study enhanced the simplified Bagnold method within the SWAT model to enhance simulation of sediment dynamics due to the rise and fall of streamflow. The sediment simulation efficacy of the enhanced Bagnold method in the SWAT was evaluated by comparison of estimated daily sediment with the original Bagnold method in the SWAT model. During the rise of streamflow, the original Bagnold method in the SWAT model yielded an R2 of 0.86 and an NSE of 0.85, but these indicators declined to an R2 of 0.49 and an NSE of −14.88 in simulations of sediment during the fall of streamflow. In contrast, the enhanced Bagnold method in the SWAT showed superior calibration performance, achieving an R2 of 0.94 and an NSE of 0.92 during the rise of streamflow, and an improved R2 of 0.68 and an NSE of 0.6 during the fall of streamflow. Notably, the enhanced Bagnold method in the SWAT provided a more accurate sediment prediction during increases in streamflow, with an overestimation of only 25.1% relative to observed data. This marks a significant improvement over the original model, which overestimated sediment by 443.5%. As shown in this study, streamflow variability (changes in rise/fall) needs to be considered in sediment simulations, enhancing model accuracy and informing effective sediment management strategy development.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810998","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}

引用次数: 0

Remote Sensing of Chlorophyll a and Temperature to Support Algal Bloom Monitoring in Blue Mesa Reservoir, Colorado 叶绿素a和温度遥感支持科罗拉多州蓝梅萨水库藻华监测

IF 2.2 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-08-11 DOI: 10.1111/1752-1688.70038

Tyler V. King, Robert A. Bean, Katherine Walton-Day, M. Alisa Mast, Evan J. Gohring, Rachel G. Gidley, Natalie K. Day, Nicole D. Gibney

{"title":"Remote Sensing of Chlorophyll a and Temperature to Support Algal Bloom Monitoring in Blue Mesa Reservoir, Colorado","authors":"Tyler V. King, Robert A. Bean, Katherine Walton-Day, M. Alisa Mast, Evan J. Gohring, Rachel G. Gidley, Natalie K. Day, Nicole D. Gibney","doi":"10.1111/1752-1688.70038","DOIUrl":"https://doi.org/10.1111/1752-1688.70038","url":null,"abstract":"We present methods to reconstruct historical chlorophyll a and surface water temperatures from satellite-based remote sensing products for Blue Mesa Reservoir, Colorado, to support algal bloom monitoring. A machine learning model was trained to construct chlorophyll a concentrations from Sentinel-2 satellite imagery and in situ measurements of chlorophyll a concentrations (out of bag RMSE = 1.9 μg/L, R2 = 0.63) and reconstruct summertime chlorophyll a concentrations over the entire reservoir from 2016 through 2023. Concurrently, we developed an approach to retrieve remotely sensed water temperatures from the Landsat collection 2 provisional surface temperature product (MAE = 0.6°C) and reconstructed summertime surface water temperature records from 2000 through 2023. Finally, we demonstrate how the reconstructed chlorophyll a and temperature records can yield insight on reservoir dynamics. The chlorophyll a records indicate that algal blooms have a consistent spatial pattern across multiple years, initiating in the eastern end of the reservoir and spreading to the west over time. Water temperatures increased at a linearized rate of 0.3°C per decade from 2000 through 2023 and were inversely proportional to reservoir water surface elevation. Finally, mean summer remotely sensed chlorophyll a concentration had a moderately positive correlation with mean summer remotely sensed water temperature.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814531","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}

引用次数: 0

Estimating Daily Nitrate Loads in Iowa Streams Using a Partial Least Squares Regression Framework 用偏最小二乘回归框架估计爱荷华州溪流的每日硝酸盐负荷

IF 2.6 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-07-03 DOI: 10.1111/1752-1688.70036

Patrick Dunn, Emily Elliott, Leanne M. Gilbertson

{"title":"Estimating Daily Nitrate Loads in Iowa Streams Using a Partial Least Squares Regression Framework","authors":"Patrick Dunn, Emily Elliott, Leanne M. Gilbertson","doi":"10.1111/1752-1688.70036","DOIUrl":"https://doi.org/10.1111/1752-1688.70036","url":null,"abstract":"<div>\u0000 \u0000 Agricultural nitrate pollution is a major threat to water quality in Iowa. Iowa uses a majority of its land for row crop agriculture and maintains a large livestock population, which together cause high nitrate loads in streams. High-frequency stream nitrate data can aid policy decisions for reducing nitrate emissions by identifying streams with high nitrate loads, historical trends of improvement or deterioration in nitrate loads, and land use or practice changes that affect water quality. We developed a time series regression model framework to supplement existing sensor data and predict daily nitrate loads in Iowa streams lacking nitrate monitoring. Using nitrate data from statewide and national resources, this framework was trained and validated using 11 study sites of diverse geography and land use in Iowa. Partial least squares regression (PLSR) was used with geographical predictors, including land use, hydrogeology, and meteorology, to predict streamflow-nitrate load relationships across the study sites. The developed PLSR model, combined with daily streamflow data, was then used to predict daily nitrate loads with high accuracy over a three-year study period with a mean Kling–Gupta Efficiency of 0.74. Our framework was then used to estimate mean nitrate concentrations at 34 sites that lack nitrate sensors, demonstrating a low-cost, facile method for the accurate prediction of daily nitrate loads in Iowa streams.\u0000 </div>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 4","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536982","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}

引用次数: 0

Cascade Reservoirs Multiobjective Optimal Scheduling Based on an Improved Two-Stage Particle Swarm Optimization Algorithm 基于改进两阶段粒子群算法的梯级水库多目标优化调度

IF 2.6 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-06-24 DOI: 10.1111/1752-1688.70032

Zhaocai Wang, Haifeng Zhao, Zhiyuan Yao, Tunhua Wu

{"title":"Cascade Reservoirs Multiobjective Optimal Scheduling Based on an Improved Two-Stage Particle Swarm Optimization Algorithm","authors":"Zhaocai Wang, Haifeng Zhao, Zhiyuan Yao, Tunhua Wu","doi":"10.1111/1752-1688.70032","DOIUrl":"https://doi.org/10.1111/1752-1688.70032","url":null,"abstract":"<div>\u0000 \u0000 The multiobjective scheduling of cascade reservoir systems faces challenges due to high-dimensional nonlinearity, where traditional optimization methods struggle to achieve globally balanced solutions. This study proposes a Two-Stage Multi-Objective Particle Swarm Optimization (TSMOPSO) algorithm, incorporating two innovative components to enhance optimization performance. The first component employs Piecewise mapping, adapts weights and introduces two operators to improve optimization efficiency and convergence speed. The second component features a two-stage refinement mechanism, implementing a two-level adjustment of upstream and downstream water levels based on constraint evaluations, effectively alleviating constraint limitations. A case study is conducted on cascade reservoirs system in the Jinsha River Basin of the Upper Yangtze River (JRBUY), with a multiobjective model integrating power generation, power output, and navigation demands. Numerical experiments demonstrate that TSMOPSO achieves remarkable performance under wet-year conditions: power generation of 2087.46 KW h, power output of 16,435.75 MW, and a navigation index of 3052.92 m3/s. Compared wtih other algorithms, TSMOPSO exhibits significant advantages in hypervolume (HV) indicators and solution set coverage. Pareto front analysis reveals competitive mechanisms among the three objectives. This approach provides a novel technical pathway for multiobjective optimization of complex cascade reservoir systems.\u0000 </div>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473003","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}

引用次数: 0

Is Hot Drought a Risk in the US Mid-Atlantic? A Potomac Basin Case Study 炎热干旱是美国大西洋中部地区的风险吗？波托马克河流域案例研究

IF 2.6 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-06-18 DOI: 10.1111/1752-1688.70031

C. L. Schultz, A. Seck, S. N. Ahmed

{"title":"Is Hot Drought a Risk in the US Mid-Atlantic? A Potomac Basin Case Study","authors":"C. L. Schultz, A. Seck, S. N. Ahmed","doi":"10.1111/1752-1688.70031","DOIUrl":"https://doi.org/10.1111/1752-1688.70031","url":null,"abstract":"Interannual variability of streamflow will increase under a future climate, but at the regional scale, there is uncertainty regarding changes in drought severity, and in particular, changes in extreme hydrological drought that could necessitate new water supply infrastructure. This is due to the wide range of regional projections for precipitation and the challenge of estimating statistics in a nonstationary climate. We assess changes in annual streamflow in the Potomac River Basin using a nonparametric approach based on a climate response function and the K-nearest neighbor method, which is relied on to construct time series of sufficient length to compute extreme quantile values. Our results indicate that future Potomac River flows will be impacted by “hot drought”, that is, increasing drought severity caused by rising temperatures coupled with natural variability in precipitation. Average precipitation is projected to increase in the Potomac basin by 9%–12% in the period 2039–2069 and by 11%–16% by 2070–2099. Average streamflow increases more modestly, by 4%–7% in 2039–2069 and by 2 to 9% in 2070–2099, whereas annual flows in an extreme drought year decrease by 3 to 26% in 2039–2069 and by 2%–49% in 2070–2099, assuming a medium sensitivity of flow to temperature. Our approach can provide multi-model consensus inputs for water supply planning models to support decision-making regarding new infrastructure.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315201","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}

引用次数: 0

Quantifying the Impact of Iowa's Flood-Mitigation Reservoirs on Sediment and Nutrient Loss 量化爱荷华州防洪水库对沉积物和养分损失的影响

IF 2.6 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-06-16 DOI: 10.1111/1752-1688.70035

Elliot S. Anderson, Keith E. Schilling

{"title":"Quantifying the Impact of Iowa's Flood-Mitigation Reservoirs on Sediment and Nutrient Loss","authors":"Elliot S. Anderson, Keith E. Schilling","doi":"10.1111/1752-1688.70035","DOIUrl":"https://doi.org/10.1111/1752-1688.70035","url":null,"abstract":"Flood-mitigation reservoirs have long been known to impact pollutant transport by retaining or removing incoming sediment and nutrients. However, historical reductions in these systems have rarely been well quantified. In this study, we used water quality data to estimate inputs and outputs of total suspended solids (TSS), two phosphorus (P) forms, and three nitrogen (N) forms in three Iowa reservoirs (Coralville, Red Rock, and Saylorville). We also explored the influence of reservoir residence times on removal rates. Annual residence times were largely consistent across the basins, ranging from roughly 6 to 100 days (mean of 19 days). Between 2001 to 2023, most TSS (~ 80%) entering the reservoirs was retained. This sedimentation corresponded to average volume losses in the reservoirs' normal storage pools of 0.37%–0.85%/year. About 40% of P and 12% of N were likewise reduced—driven mainly by decreases in particulate P and nitrate. Residence time appeared unrelated to removal rates of TSS and particulate nutrient forms, but longer residence times coincided with increased nitrate loss. Reservoir impact on statewide nutrient export was significant, with loads in Iowa's major rivers being reduced by 9.8% (for P) and 4.7% (for N) due to reservoir capture. These findings suggest that reservoir operators may be able to facilitate further nitrate removal by lengthening storage durations without incurring additional sedimentation or generating other nutrient forms.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299744","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}

引用次数: 0

The Nonpoint Source Challenge: Obstacles and Opportunities for Meeting Nutrient Reduction Goals in the Chesapeake Bay Watershed 非点源挑战：实现切萨皮克湾流域营养减少目标的障碍和机遇

IF 2.6 4区环境科学与生态学

Journal of The American Water Resources Association Pub Date : 2025-06-14 DOI: 10.1111/1752-1688.70034

Zachary Easton, Kurt Stephenson, Brian Benham, J. K. Böhlke, Anthony Buda, Amy Collick, Lara Fowler, Ellen Gilinsky, Andrew Miller, Gregory Noe, Leah H. Palm-Forster, Leonard Shabman, Theresa Wynn-Thompson

{"title":"The Nonpoint Source Challenge: Obstacles and Opportunities for Meeting Nutrient Reduction Goals in the Chesapeake Bay Watershed","authors":"Zachary Easton, Kurt Stephenson, Brian Benham, J. K. Böhlke, Anthony Buda, Amy Collick, Lara Fowler, Ellen Gilinsky, Andrew Miller, Gregory Noe, Leah H. Palm-Forster, Leonard Shabman, Theresa Wynn-Thompson","doi":"10.1111/1752-1688.70034","DOIUrl":"https://doi.org/10.1111/1752-1688.70034","url":null,"abstract":"This document examines the Chesapeake Bay watershed response to nutrient and sediment reduction efforts under the Clean Water Act's total maximum daily load (TMDL) regulation. As the 2025 Chesapeake Bay TMDL deadline approaches, water quality goals remain unmet, primarily because of nonpoint source pollution, the largest remaining source of nutrients and sediment, and the primary obstacle to meeting the TMDL. We focus on the factors influencing the gap between the expected effect of management to reduce nonpoint source loads reaching the Bay and empirical evidence suggesting that decades of effort have not produced the expected improvement. This gap may be caused by both insufficient scale and type of implemented water quality management practices and by an overestimation of practice effectiveness. Reasons water quality goals remain unmet include legacy nutrients and lag times masking or delaying the effects of management efforts, areas with large nutrient mass imbalances contributing disproportionate loads, and the difficulty of incentivizing behavior change in voluntary nonpoint source programs. Closing the response gap may require fundamental changes to nonpoint source programs. Apart from seeking additional funding, nonpoint source programs could develop policies to more effectively incentivize behavior change, identify and target treatment of high loading areas with appropriate management actions, and address nutrient mass imbalances.","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"61 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289300","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}

引用次数: 0