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基于区间模糊两阶段随机规划方法的生态补水方案优化:中国吉林省波罗湖国家级自然保护区

Optimization of Ecological Water Replenishment Scheme Based on the Interval Fuzzy Two-Stage Stochastic Programming Method: Boluo Lake National Nature Reserve, Jilin Province, China.

作者信息

Yang Hao, He Wei, Li Yu

机构信息

MOE Key Laboratory of Resources Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China.

出版信息

Int J Environ Res Public Health. 2022 Apr 25;19(9):5218. doi: 10.3390/ijerph19095218.

DOI:10.3390/ijerph19095218
PMID:35564609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9103661/
Abstract

In this paper, a fuzzy mathematical programming method is introduced on the basis of the interval two-stage stochastic programming (ITSP) optimisation model for the wetland ecological water replenishment scheme in Boluo Lake National Nature Reserve. The minimum ecological water supply is taken as the objective function, and the lake bubble water diversion capacity, lake bubble water supply capacity, water diversion sequence, ecological service value, and minimum capacity of the wetland water supply are taken as constraints. The ecological water replenishment schemes of five lakes in the Boluo Lake National Nature Reserve are optimised at the levels of low flow years, normal flow years, and high flow years, and an optimised model for the wetland ecological water replenishment scheme in Boluo Lake National Nature Reserve based on the interval fuzzy two-stage stochastic programming (IFTSP) method is constructed. The model fully considers the waste of water resources and the protection of migratory bird habitat and makes rational allocation of water resources to make full use of flood resources. The IFTSP model proposed herein fully considers the fuzzy and uncertain characteristics of the planning area in the lake bubble area of Boluo Lake National Nature Reserve and improves the decision-making efficiency of decision-makers by providing technical support for smooth implementation of the ecological water replenishment project in nature reserves. The model can also be used as a theoretical guide for ecological recharge projects in other regions of the world.

摘要

本文在区间两阶段随机规划(ITSP)优化模型的基础上,引入模糊数学规划方法,用于博罗湖国家级自然保护区湿地生态补水方案。以最小生态供水量为目标函数,以湖泡引水能力、湖泡供水能力、引水顺序、生态服务价值和湿地供水最小容量为约束条件。对博罗湖国家级自然保护区五个湖泊在枯水年、平水年和丰水年水平下的生态补水方案进行优化,构建了基于区间模糊两阶段随机规划(IFTSP)方法的博罗湖国家级自然保护区湿地生态补水方案优化模型。该模型充分考虑了水资源浪费和候鸟栖息地保护问题,对水资源进行合理配置,以充分利用洪水资源。本文提出的IFTSP模型充分考虑了博罗湖国家级自然保护区湖泡区域规划区域的模糊性和不确定性特征,通过为自然保护区生态补水工程的顺利实施提供技术支持,提高了决策者的决策效率。该模型还可为世界其他地区的生态补水工程提供理论指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/801cc248a3ca/ijerph-19-05218-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/90f75d6f4e6d/ijerph-19-05218-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/b014da31bd77/ijerph-19-05218-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/801cc248a3ca/ijerph-19-05218-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/90f75d6f4e6d/ijerph-19-05218-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/b014da31bd77/ijerph-19-05218-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9103661/801cc248a3ca/ijerph-19-05218-g003.jpg

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本文引用的文献

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Optimization of Ecological Water Supplement Scheme for Improved Suitable Habitat Area for Rare Migratory Birds in Nature Reserves Using Interval-Parameter Fuzzy Two-Stage Stochastic Programming Model.利用区间参数模糊两阶段随机规划模型优化自然保护区珍稀候鸟适宜栖息地面积的生态补水方案。
Int J Environ Res Public Health. 2020 Oct 17;17(20):7562. doi: 10.3390/ijerph17207562.
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An Optimization Model for a Wetland Restoration Project under Uncertainty.不确定性下的湿地恢复项目优化模型。
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