An Interval Parameter Conditional Value-at-risk Two-stage Stochastic Programming Model For Sustainable Regional Water Allocation Under Different Representative Concentration Pathways Scenarios - Info and Reading Options
By Qiang Fu, Linqi Li, Mo Li, Tianxiao Li, Dong Liu, Renjie Hou and Zhaoqiang Zhou
"An Interval Parameter Conditional Value-at-risk Two-stage Stochastic Programming Model For Sustainable Regional Water Allocation Under Different Representative Concentration Pathways Scenarios" and the language of the book is English.
“An Interval Parameter Conditional Value-at-risk Two-stage Stochastic Programming Model For Sustainable Regional Water Allocation Under Different Representative Concentration Pathways Scenarios” Metadata:
- Title: ➤ An Interval Parameter Conditional Value-at-risk Two-stage Stochastic Programming Model For Sustainable Regional Water Allocation Under Different Representative Concentration Pathways Scenarios
- Authors: ➤ Qiang FuLinqi LiMo LiTianxiao LiDong LiuRenjie HouZhaoqiang Zhou
- Language: English
“An Interval Parameter Conditional Value-at-risk Two-stage Stochastic Programming Model For Sustainable Regional Water Allocation Under Different Representative Concentration Pathways Scenarios” Subjects and Themes:
- Subjects: ➤ CVaR - Interval two-stage stochastic model - RCP - Regional water resources allocation
Edition Identifiers:
- Internet Archive ID: ➤ mccl_10.1016_j.jhydrol.2018.07.008
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"An Interval Parameter Conditional Value-at-risk Two-stage Stochastic Programming Model For Sustainable Regional Water Allocation Under Different Representative Concentration Pathways Scenarios" Description:
The Internet Archive:
The shortage of water resources and the increasing competition among water users have highlighted the importance of the water allocation problem. Water availability is crucial for water resource allocation and changes frequently, leading to the necessity to predict available water. This paper develops a framework aimed to plan regional water allocations under different representative concentration pathways (RCP) scenarios using an interval parameter conditional value-at-risk (CVaR) two-stage stochastic programming model. This framework combines prediction and optimization to reflect climate change, the uncertainty of water system and the coordination between water resources allocation and risk. The feasibility and practicality of the framework are demonstrated by its application in a real-world case study in the Lower Songhua River Basin in northeast China. Comparison between the results of the developed model and actual conditions show that 11.61 × 108 m3 volume of water supply can be saved after optimization, indicating that the developed model tends to allocate water in a more efficient way. The ratio of surface water to groundwater is reduced from 2:1 to 1.62:1. The proposed model has practical relevance for saving water and alleviating groundwater overexploitation. The approach is applicable to most areas with severe water shortages and groundwater overexploitation, and decision makers can determine the appropriate options for water resources allocation based on risk preferences and actual conditions.
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