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Catastrophe Theory-Based Water Quality Evaluation Model Under Uncertain Environment, Case in Chaohu Lake

机译:基于灾难理论的水质评估模型在不确定的环境下,巢湖湖

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Water quality evaluation is an important item in water resource management. However, water quality evaluation is a complex system problem, fuzzy uncertainties and random uncertainties both exist in it. In this research, fuzzy random variables are employed to deal with the complex uncertainty. Then, according to the five essential features of water quality systems, a new model for water quality evaluation named catastrophe theory-based water quality evaluation model under uncertainty (CT-based WQEMU) was proposed. And, a new calculation method was designed to solve the model. The proposed model was applied to an actual case: Chaohu lake, China. According to the calculation results of the model, some analysis about the actual situation of water pollution in Chaohu lake was made. Then, the policy recommendations are provided to the local water management department.
机译:水质评价是水资源管理的重要项目。然而,水质评价是复杂的系统问题,模糊不确定性和随机的不确定性都存在于其中。在这项研究中,采用模糊的随机变量来处理复杂的不确定性。然后,根据水质系统的五个基本特征,提出了一种在不确定性(基于CT基WQEMU)下命名为灾难理论的水质评估模型的新型水质评估模型。并且,设计了一种新的计算方法来解决模型。拟议的模型适用于实际案例:中国巢湖湖。根据该模型的计算结果,制作了关于巢湖水污染实际情况的一些分析。然后,向当地水管理部门提供政策建议。

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