Journal of Water Resources Planning and Management最新文献_第6页

Assessing Water Management Strategies under Water Scarcity in the Mexican Portion of the Colorado River Basin 科罗拉多河流域墨西哥部分缺水情况下的水管理策略评估

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-5985

Astrid Hernández-Cruz, S. Sandoval‐Solis, L. Mendoza-Espinosa, J. Ramírez-Hernández, J. Medellín-Azuara, L. W. Daesslé

{"title":"Assessing Water Management Strategies under Water Scarcity in the Mexican Portion of the Colorado River Basin","authors":"Astrid Hernández-Cruz, S. Sandoval‐Solis, L. Mendoza-Espinosa, J. Ramírez-Hernández, J. Medellín-Azuara, L. W. Daesslé","doi":"10.1061/jwrmd5.wreng-5985","DOIUrl":"https://doi.org/10.1061/jwrmd5.wreng-5985","url":null,"abstract":": The water management of the Colorado River is at a tipping point. This paper describes water management strategies in the Mexican portion of the Colorado River Basin considering water scarcity scenarios. A water allocation model was constructed representing current and future water demands and supply. The Colorado River system in Mexican territory is used as a case study, and all its water demands are characterized [Irrigation District Rio Colorado (DR-014), Mexicali, San Luis Rio Colorado, Tecate, Tijuana-Rosarito, and Ensenada]. Individual strategies were run by subsystem and then their impact was analyzed systemwide. Performance criteria and a performance-based sustainability index were evaluated to identify water stressors and management strategies to improve water supply for agricultural, urban, and environmental users. Analysis of results shows that the irrigation district (DR-014) is the most affected user due to water cuts because it has the lowest priority and, thus, any reduction in Colorado River allocations affects them directly. A range of water management strategies was investigated, including a no-action scenario. The current system depends on the long-term aquifer overdraft to supply water demand. The reduction of the cultivated area was the strategy that increased the sustainability index the most for DR-014. Agricultural to urban transfers, water use efficiency, wastewater reuse, and desalination are prime possibilities to improve the current water supply in the coastal zone (Tijuana, Rosarito, Ensenada). This research shows the spectrum of possible outcomes that could be expected, ranging from systemwide effects of inaction to the implementation of a portfolio of water","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":"48828516","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

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

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

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

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

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

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

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

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