| 基于压力-状态-响应(PSR)模型的潘安湖湿地水环境健康评价 |
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| 引用本文： | 曹文平,刘喜坤,赵天晴,田立,刘勇.基于压力-状态-响应(PSR)模型的潘安湖湿地水环境健康评价[J].环境工程,2021,39(5):231. |
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| 作者姓名： | 曹文平 刘喜坤 赵天晴 田立 刘勇 |
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| 作者单位： | 1. 徐州工程学院 环境工程学院, 江苏 徐州 221111; |
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| 基金项目： | 水利部科技推广计划项目（TG1517）；江苏省高等学校自然科学研究重大项目（20KJA610004）；徐州工程学院科研项目（XKY2019120）。 |
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| 摘 要： | 以PSR模型为框架，选取污水处理率、水质状况、生物多样性、环保投资指数等14个评价指标建立了潘安湖湿地水环境健康评价体系，采用层次分析法确定指标的权重，将湿地水环境健康状况由很健康到病态分成5个级别，利用模糊综合评价法对潘安湖湿地水环境健康状况进行评价。结果表明:潘安湖湿地水环境健康指数为2.8166，属于亚健康状态。其中压力指标得分1.7405，属于疾病状态；状态指标得分3.2563，属于亚健康状态；响应指标得分2.4483，处在亚健康状态与疾病状态之间。该结果可为类似地表水体环境健康评价提供参考。
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| 关 键 词： | 潘安湖湿地 健康评价 压力-状态-响应模型 层次分析法 模糊综合评价 |
| 收稿时间： | 2020-11-20 |
EVALUATION OF WATER ENVIRONMENTAL HEALTH OF PAN'AN LAKE WETLAND BASED ON PRESSURE-STATE-RESPONSE (PSR) MODEL |
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| Institution: | 1. School of Environmental Engineering, Xuzhou Institute of Technology, Xuzhou 221111, China;2. Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, China;3. Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210098, China;4. Nantong Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau, Nantong 226000, China;5. China University of Mining and Technology, Xuzhou 221116, China |
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| Abstract: | Based on the PSR model, 14 evaluation indexes, including sewage treatment rate, water quality status, biodiversity and environmental investment index were selected to establish the water environment health evaluation system of Pan'an Lake wetland, and their weights of indexes were determined by analytic hierarchy process. The health status of wetland water environment was classified into 5 levels from very healthy to morbid, and then the fuzzy comprehensive evaluation method was used to evaluate the health status of Pan'an Lake wetland water environment. The evaluation results showed that the water environmental health index of Pan'an Lake wetland was 2.8166, belonging to sub-health state. The stress index score was 1.7405, which was in disease status. The status index score was 3.2563, belonging to the sub-health state. The response index score was 2.4483, which was between sub-health state and disease state. |
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