A bi-level multi-objective programming for water resources management under compound uncertainties in Dongjiang River, Greater Bay Area of China

• 全文链接

大湾区东江复杂不确定性水资源管理的双层多目标规划

关键词：

来源：

ScienceDirect

全文链接：

//agri.nais.net.cn/topic/downloadFile/b785900d-1feb-4343-ad69-bbf88905006f

来源地址：

https://doi.org/10.1016/j.jconhyd.2022.104020

资源所属：

农业水土资源监测专题

类型：

学术文献

语种：

英语

原文发布日期：

2022-05-05

摘要：

To facilitate regional water resources allocation, an integrated bi-level multi-objective programming (IBMP) model with dual random fuzzy variables was developed in this research The proposed model was derived through incorporating dual random fuzzy variables, multi-objective programming, and interval parameter programming within a bi-level optimization framework. This approach improved upon the previous bi-level programming methods and had two advantages. Firstly, it was capable of reflecting tradeoffs among multiple conflict preferences for water related bi-level hierarchical decision-making processes. Secondly, random fuzzy variables were used to tackle the dual uncertainties in both sides of the constraints, which were characterize as probability density functions and discrete intervals. Then, a real-world water resources planning problem was employed for illustrating feasibility of the application of IBMP model in Dongjiang river watershed of south China. Results reflected the alternative decisions for water allocation schemes under a set of probability levels and fuzzy α - cut levels, which can support in-depth analysis of tradeoffs among multiple levels and objective values. Moreover, modeling comparison analysis was undertaken to illustrate the performances of the proposed model.