首页> 外文期刊>Ecological engineering: The Journal of Ecotechnology >Constructed wetland planning-based bi-level optimization to balance the watershed ecosystem and economic development: A case study at the Chaohu Lake watershed, China
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Constructed wetland planning-based bi-level optimization to balance the watershed ecosystem and economic development: A case study at the Chaohu Lake watershed, China

机译:基于湿地规划的双层优化,以实现流域生态系统与经济发展之间的平衡:以中国巢湖流域为例

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摘要

Due to environmental carrying capacity limitations, accelerated economic development can result in serious damage to watershed ecosystems. Using planned watershed-scale constructed wetlands (CW), this paper describes how balance can be achieved between the watershed ecosystem and economic development. To accomplish this goal, a bi-level optimization model is established, in which fuzzy random variables are used to describe the uncertainties. To solve the inherent complexity and uncertainty in the proposed model, a fuzzy random simulation-based nested adaptive particle swarm optimization is designed. The model is then applied to a real-world case, the Chaohu Lake watershed in China. The model results confirmed that; CW was an effective method to balance the watershed ecosystem and economic development, environmental policy plays a key role in controlling this balance and the integrated impact of the environmental policies and economic development on the watershed ecosystem were nonlinear. These practical results should be of assistance to watershed managers when making environmental policy decisions. (C) 2016 Elsevier B.V. All rights reserved.
机译:由于环境承载能力的限制,加速的经济发展可能会严重损害流域生态系统。本文使用计划的集水区规模的人工湿地(CW),描述了如何在集水区生态系统和经济发展之间实现平衡。为了实现这一目标,建立了一个二级优化模型,其中使用模糊随机变量来描述不确定性。为解决模型固有的复杂性和不确定性,设计了基于模糊随机仿真的嵌套自适应粒子群算法。然后将该模型应用于实际案例,即中国巢湖流域。模型结果证实:连续水是平衡流域生态系统和经济发展的有效方法,环境政策在控制这种平衡方面发挥着关键作用,环境政策和经济发展对流域生态系统的综合影响是非线性的。这些实际结果应有助于流域管理者制定环境政策决策。 (C)2016 Elsevier B.V.保留所有权利。

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