Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019573 |
Improving operating policies of large-scale surface-groundwater systems through stochastic programming | |
Macian-Sorribes, H.1; Tilmant, A.2; Pulido-Velazquez, M.1 | |
2017-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; Canada |
英文摘要 | The management of large-scale water resource systems with surface and groundwater resources requires considering stream-aquifer interactions. Optimization models applied to large-scale systems have either employed deterministic optimization (with perfect foreknowledge of future inflows, which hinders their applicability to real-life operations) or stochastic programming (in which stream-aquifer interaction is often neglected due to the computational burden associated with these methods). In this paper, stream-aquifer interaction is integrated in a stochastic programming framework by combining the Stochastic Dual Dynamic Programming (SDDP) optimization algorithm with the Embedded Multireservoir Model (EMM). The resulting extension of the SDDP algorithm, named Combined Surface-Groundwater SDDP (CSG-SDDP), is able to properly represent the stream-aquifer interaction within stochastic optimization models of large-scale surface-groundwater resource systems. The algorithm is applied to build a hydroeconomic model for the Jucar River Basin (Spain), in which stream-aquifer interactions are essential to the characterization of water resources. Besides the uncertainties regarding the economic characterization of the demand functions, the results show that the economic efficiency of the operating policies under the current system can be improved by better management of groundwater and surface resources. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000398568800022 |
WOS关键词 | MULTIRESERVOIR SYSTEMS ; WATER MANAGEMENT ; CONJUNCTIVE USE ; OPTIMIZATION ; CALIFORNIA ; AQUIFER |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21316 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Politecn Valencia, Res Inst Water & Environm Engn IIAMA, Valencia, Spain; 2.Univ Laval, Dept Civil & Water Engn, Quebec City, PQ, Canada |
推荐引用方式 GB/T 7714 | Macian-Sorribes, H.,Tilmant, A.,Pulido-Velazquez, M.. Improving operating policies of large-scale surface-groundwater systems through stochastic programming[J]. WATER RESOURCES RESEARCH,2017,53(2). |
APA | Macian-Sorribes, H.,Tilmant, A.,&Pulido-Velazquez, M..(2017).Improving operating policies of large-scale surface-groundwater systems through stochastic programming.WATER RESOURCES RESEARCH,53(2). |
MLA | Macian-Sorribes, H.,et al."Improving operating policies of large-scale surface-groundwater systems through stochastic programming".WATER RESOURCES RESEARCH 53.2(2017). |
条目包含的文件 | 条目无相关文件。 |
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