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Fuzzy synthetic model for risk assessment on Haihe River basin

机译:海河流域风险评估的模糊综合模型

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A comprehensive indicator model for risk assessment and a multiple-level theoretical indicator system of the water quality–quantity-ecosystem (WQQE) for the Haihe River basin were constructed in this research. A fuzzy optimization model was used to assess risks for the four water systems of the Haihe River basin, and their risk order from high to lower risk was southern Haihe River system (SH), northern Haihe River system (NH), Tuhaimajiahe River system (TH) and Luanjiyanhai River system (LJ). The highest risk value (SH) was 0.8737. In terms of the WQQE, the secondary parameters for assessment of the four water system risks were 0.3579, 0.7226, 0.9547, and 0.5428 respectively. The results indicated that the main control factors for pollution for LJ, TH, SH and NH differed from each other and involved pollutant level, development of water resources, water flow and quality, ecosystem health and the hydrologic structure.
机译:研究建立了海河流域风险评估的综合指标模型和水质—生态系统(WQQE)的多层次理论指标体系。使用模糊优化模型评估海河流域四个水系的风险,其风险等级从高到低依次为南部海河系统(SH),北部海河系统(NH),土海马家河系统( TH)和栾吉延海河系(LJ)。最高风险值(SH)为0.8737。就WQQE而言,评估四种水系统风险的次要参数分别为0.3579、0.7226、0.9547和0.5428。结果表明,LJ,TH,SH和NH污染的主要控制因素互不相同,涉及污染物水平,水资源开发,水流量和质量,生态系统健康和水文结构。

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