A Scenario-Based Optimization Model for Planning Sustainable Water-Resources Process Management under Uncertainty
A Scenario-Based Optimization Model for Planning Sustainable Water-Resources Process Management under Uncertainty
复制标题
不确定性下可持续水资源过程管理规划的基于情景的优化模型
DOI：
10.3390/pr7050312
复制
发表时间：
2019-05
期刊：
影响因子：
3.5
通讯作者：
Hao Lingang
中科院分区：
文献类型：
--
作者：
Miao Hongchang;Li Donglin;Zuo Qiting;Yu Lei;Fei Xiaoxia;Hao Lingang
水的需求和供应之间的差异正在加剧，并产生了与经济快速发展、人口增长和城市扩张相关的可持续水资源过程管理的需求。在本研究中，开发了一种基于场景的区间模糊可信度约束规划（SIFCP）方法，用于规划水资源管理系统（WRMS），该系统可以通过使用区间值、模糊集和场景分析来处理不确定信息。随后，SIFCP-WRMS 模型被应用于规划中国河南省南水北调中线工程（SNWDP）。考虑了不同配水比例场景和不同可信度级别的解决方案。结果表明，SIFCP-WRMS 模型中使用的不同配水比例情景和不确定性可能会导致水分配、污水排放、化学需氧量 (COD) 排放和系统效益的变化。结果还表明，情景变化（即从 S2 到 S3）可能会导致工业部门水资源分配规划范围内发生 9% 的变化。研究结果可以帮助决策者解决经济目标、水资源需求、污水排放以及COD排放之间的冲突。
Discrepancies between water demand and supply are intensifying and creating a need for sustainable water resource process management associated with rapid economic development, population growth, and urban expansion. In this study, a scenario-based interval fuzzy-credibility constrained programming (SIFCP) method is developed for planning a water resource management system (WRMS) that can handle uncertain information by using interval values, fuzzy sets, and scenario analysis. The SIFCP-WRMS model is then applied to plan the middle route of the South-to-North Water Diversion Project (SNWDP) in Henan Province, China. Solutions of different water distribution proportion scenarios and varied credibility levels are considered. Results reveal that different water-distribution proportion scenarios and uncertainties used in the SIFCP-WRMS model can lead to changed water allocations, sewage discharges, chemical oxygen demand (COD) emissions, and system benefits. Results also indicate that the variation of scenarios (i.e., from S2 to S3) can result in a change of 9% over the planning horizon for water allocation in the industrial sector. Findings can help decision-makers resolve conflicts among economic objective, water resource demand, and sewage discharge, as well as COD emissions.
登录
查看更多内容
影响因子：
3.4
作者：
Shang-hong Zhang;Jiasheng Yang;Zhongyu Wan;Y. Yi
通讯作者：
Shang-hong Zhang;Jiasheng Yang;Zhongyu Wan;Y. Yi
DOI：
10.16250/j.32.1374.2020120
发表时间：
2020-06-12
期刊：
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
影响因子：
--
作者：
Huang, Y X
通讯作者：
Huang, Y X
影响因子：
6.4
作者：
H. Safavi;M. Golmohammadi;S. Sandoval‐Solis
通讯作者：
H. Safavi;M. Golmohammadi;S. Sandoval‐Solis
DOI：
10.1016/j.proeng.2016.11.045
发表时间：
2016
期刊：
Procedia Engineering
影响因子：
--
作者：
Jaime Veintimilla-Reyes;D. Cattrysse;A. Meyer;J. Orshoven
通讯作者：
Jaime Veintimilla-Reyes;D. Cattrysse;A. Meyer;J. Orshoven
影响因子：
--
作者：
Kai Wang;Liwei Li;Yong-Ting Lan;P. Dong;Guoting Xia
通讯作者：
Kai Wang;Liwei Li;Yong-Ting Lan;P. Dong;Guoting Xia