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Journal of Water Resources Planning and Management最新文献

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Simulation-Based Schemes to Determine Economical Irrigation Depths Considering Volumetric Water Price and Weather Forecasts 考虑体积水价和天气预报确定经济灌溉深度的模拟方案
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-09-01 DOI: 10.1061/jwrmd5.wreng-5801
Hassan M. Abd El Baki, S. Liang, H. Fujimaki
{"title":"Simulation-Based Schemes to Determine Economical Irrigation Depths Considering Volumetric Water Price and Weather Forecasts","authors":"Hassan M. Abd El Baki, S. Liang, H. Fujimaki","doi":"10.1061/jwrmd5.wreng-5801","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5801","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44536021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Stochastic Multistage Multiobjective Water Allocation with Hedging Rules for Multireservoir Systems 多水库系统多阶段随机多目标套期保值水量分配
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-09-01 DOI: 10.1061/jwrmd5.wreng-5950
Mingsheng Yang, G. Bayraksan
{"title":"Stochastic Multistage Multiobjective Water Allocation with Hedging Rules for Multireservoir Systems","authors":"Mingsheng Yang, G. Bayraksan","doi":"10.1061/jwrmd5.wreng-5950","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5950","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43384191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Isolation Valve Placement Strategy for Resilience Improvement of Water Distribution Systems 提高配水系统弹性的隔离阀布置策略
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-09-01 DOI: 10.1061/jwrmd5.wreng-5933
Renjie Wu, K. Soga
{"title":"Isolation Valve Placement Strategy for Resilience Improvement of Water Distribution Systems","authors":"Renjie Wu, K. Soga","doi":"10.1061/jwrmd5.wreng-5933","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5933","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44677576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Operationalizing Real-Time Monitoring Data in Simulation Models Using the Public Domain HEC-DSSVue Software Platform 使用公共域HEC DSSVue软件平台在仿真模型中操作实时监测数据
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-09-01 DOI: 10.1061/jwrmd5.wreng-5728
V. Tran, Stefanie Helmrich, N. Quinn, Peggy A. O'Day
{"title":"Operationalizing Real-Time Monitoring Data in Simulation Models Using the Public Domain HEC-DSSVue Software Platform","authors":"V. Tran, Stefanie Helmrich, N. Quinn, Peggy A. O'Day","doi":"10.1061/jwrmd5.wreng-5728","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5728","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48568333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Lake Impoundment in Advance of Post-Flood Period Based on Large-Scale Numerical Simulation 基于大尺度数值模拟的后汛期湖泊蓄水
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-08-01 DOI: 10.1061/jwrmd5.wreng-5811
Can Cui, Z. Dong, Yun Luo, Yalei Han, Tianyan Zhang
{"title":"Lake Impoundment in Advance of Post-Flood Period Based on Large-Scale Numerical Simulation","authors":"Can Cui, Z. Dong, Yun Luo, Yalei Han, Tianyan Zhang","doi":"10.1061/jwrmd5.wreng-5811","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5811","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46525138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Unraveling the Impact of COVID-19 Pandemic Dynamics on Commercial Water-Use Variation 揭示COVID-19大流行动态对商业用水变化的影响
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-08-01 DOI: 10.1061/jwrmd5.wreng-5940
Fuzhi Shu, Haixing Liu, G. Fu, Siao Sun, Yu Li, Wei Ding, Jian Wu, Huicheng Zhou, Yongqin Yuan, Junguo He, Lingduo Zhang
{"title":"Unraveling the Impact of COVID-19 Pandemic Dynamics on Commercial Water-Use Variation","authors":"Fuzhi Shu, Haixing Liu, G. Fu, Siao Sun, Yu Li, Wei Ding, Jian Wu, Huicheng Zhou, Yongqin Yuan, Junguo He, Lingduo Zhang","doi":"10.1061/jwrmd5.wreng-5940","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5940","url":null,"abstract":"Water use was impacted significantly by the COVID-19 pandemic. Although previous studies quantitatively investigated the effects of COVID-19 on water use, the relationship between water-use variation and COVID-19 dynamics (i.e., the spatial-temporal characteristics of COVID-19 cases) has received less attention. This study developed a two-step methodology to unravel the impact of COVID-19 pandemic dynamics on water-use variation. First, using a water-use prediction model, the water-use change percentage (WUCP) indicator, which was calculated as the relative difference between modeled and observed water use, i.e., water-use variation, was used to quantify the COVID-19 effects on water use. Second, two indicators, i.e., the number of existing confirmed cases (NECC) and the spatial risk index (SRI), were applied to characterize pandemic dynamics, and the quantitative relationship between WUCP and pandemic dynamics was examined by means of regression analysis. We collected and analyzed 6-year commercial water-use data from smart meters of Zhongshan District in Dalian City, Northeast China. The results indicate that commercial water use decreased significantly, with an average WUCP of 59.4%, 54.4%, and 45.7%during the three pandemic waves, respectively, in Dalian. Regression analysis showed that there was a positive linear relationship between water-use changes (i.e., WUCP) and pandemic dynamics (i.e., NECC and SRI). Both the number of COVID-19 cases and their spatial distribution impacted commercial water use, and the effects were weakened by restriction strategy improvement, and the accumulation of experience and knowledge about COVID-19. This study provides an in-depth understanding of the impact of COVID-19 dynamics on commercial water use. The results can be used to help predict water demand under during future pandemic periods or other types of natural and human-made disturbance.","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49142801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Reducing Water Age in Residential Premise Plumbing Systems 降低住宅水管系统的使用年限
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-08-01 DOI: 10.1061/jwrmd5.wreng-5943
Sasha Schück, S. Díaz, K. Lansey
{"title":"Reducing Water Age in Residential Premise Plumbing Systems","authors":"Sasha Schück, S. Díaz, K. Lansey","doi":"10.1061/jwrmd5.wreng-5943","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5943","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49211882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Two-Stage Multiobjective Decision-Making Method Based on Agricultural Water-Energy-Food Nexus: Case Study in Hetao Irrigation District, China 基于农业水-能-粮关系的两阶段多目标决策方法——以河套灌区为例
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-08-01 DOI: 10.1061/jwrmd5.wreng-5856
Gaiqiang Yang, Shuang Xia, L. Huo, Mo Li, Chenglong Zhang, Yuxin Su, D. Guo
{"title":"Two-Stage Multiobjective Decision-Making Method Based on Agricultural Water-Energy-Food Nexus: Case Study in Hetao Irrigation District, China","authors":"Gaiqiang Yang, Shuang Xia, L. Huo, Mo Li, Chenglong Zhang, Yuxin Su, D. Guo","doi":"10.1061/jwrmd5.wreng-5856","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5856","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44749041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Supervised Machine Learning Approaches for Leak Localization in Water Distribution Systems: Impact of Complexities of Leak Characteristics 供水系统泄漏定位的监督机器学习方法:泄漏特征复杂性的影响
IF 3.1 3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-08-01 DOI: 10.1061/jwrmd5.wreng-6047
Lochan Basnet, Downey Brill, R. Ranjithan, K. Mahinthakumar
{"title":"Supervised Machine Learning Approaches for Leak Localization in Water Distribution Systems: Impact of Complexities of Leak Characteristics","authors":"Lochan Basnet, Downey Brill, R. Ranjithan, K. Mahinthakumar","doi":"10.1061/jwrmd5.wreng-6047","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-6047","url":null,"abstract":"","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42814153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1
Gradual Leak Detection in Water Distribution Networks Based on Multistep Forecasting Strategy 基于多步预测策略的配水管网逐步泄漏检测
3区 环境科学与生态学
Journal of Water Resources Planning and Management Pub Date : 2023-08-01 DOI: 10.1061/jwrmd5.wreng-6001
Xi Wan, Raziyeh Farmani, Edward Keedwell
{"title":"Gradual Leak Detection in Water Distribution Networks Based on Multistep Forecasting Strategy","authors":"Xi Wan, Raziyeh Farmani, Edward Keedwell","doi":"10.1061/jwrmd5.wreng-6001","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-6001","url":null,"abstract":"With the availability of real-time monitoring data, leakage detection for water distribution networks (WDNs) based on data-driven methods has received increasing attention in recent years. Accurate forecasts based on historical data could provide valuable information about the condition of the WDN, and abnormal events could be detected if the observed behavior is substantially different from the typical behavior. Therefore, an accurate forecast model is essential for prediction-based leakage detection methods. While most data-driven methods focus on burst detection, it is also important to develop an early warning system for gradual leakage events because they will cause more water loss due to a longer time to awareness. Therefore, a real-time early leakage detection technique based on a multistep forecasting strategy is proposed in this study. A multistep flow forecasting model is introduced to capture the diurnal, weekly, and seasonal patterns in the historical data. The generated multistep forecasting is further compared with the observed measurements, and residuals are calculated based on cosine distance. Based on the analysis of the residual vector, the gradual leakage event could be detected in a timely manner. The proposed method is applied to the L-town datasets containing one year of real-life flow monitoring data. The results prove the superiority of the proposed multistep prediction model-based method over the traditional one-step prediction model for gradual leakage detection. In addition, the results show that the proposed methodology can detect small gradual leakage events within just a few days while generating no false alarms. The method was further applied to a real-life network and showed consistent results.","PeriodicalId":17655,"journal":{"name":"Journal of Water Resources Planning and Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135717283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
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