河流健康评价指标与权重分配的统计分析
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TV213.4

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坪山河干流综合整治及水质提升工程专项课题(CSCEC-PSH-2017-02);“十二五”国家重点基础研究发展计划(973计划)(2015CB452701);中国工程院咨询研究项目( 2016-ZD-08)


Statistical analysis of river health assessment indicators and weight distribution
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    摘要:

    为研究河流健康评价指标及其权重的特征和规律,通过文献调研,筛选出150篇代表性文献,并对其中41个典型评价案例中准则层和指标权重进行了统计分析。结果表明:不同文献对河流健康评价准则层划分较为统一,而对指标的选取和权重取值差别较大;将河流健康评价划分成水文、水质、生物、生境物理和经济服务功能5 项是评价准则层较为公认的划分方式,其相应权重期望值分别为 0.15、0.21、0.18、0.22 和 0.24;河流健康评价的指标主要包括径流变化率、水功能区水质达标率、鱼类完整性指数、底栖动物完整性指数、河岸植被覆盖率、河流连通性、湿地保留率、流域天然植被覆盖率、水资源利用率以及河岸景观适宜度,其相应归一化后的权重期望值为0.15、0.21、0.11、0.07、0.09、0.07、0.06、0.09、0.08 和 0.07。

    Abstract:

    In order to study the characteristics and rules of river health evaluation indexes and their weights, 150 representative literatures were selected through literature research, and 41 typical evaluation cases were statistically analyzed. The results show that different literatures divide the river health evaluation criteria layer in a unified way, but the selection of indicator layer and the value of weight are quite different. The river health assessment is divided into five parts: hydrology, water quality, biology, habitat physics and economic service function, which are generally recognized in the assessment criteria layer. The expected values of corresponding weights are 0. 15, 0. 21, 0. 18, 0. 22 and 0. 24, respectively. The indicators of river health assessment mainly include runoff change rate, water quality standard rate of water function area, fish integrity index, benthos integrity index, riparian vegetation coverage rate, river connectivity, wetland retention rate, natural vegetation coverage rate of the basin, water resource utilization rate and riparian landscape suitability. The corresponding normalized weight expectation values are 0. 15, 0. 21, 0. 11, 0. 07, 0. 09, 0. 07, 0. 06, 0. 09, 0. 08 and 0. 07.

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苏辉东,贾仰文,牛存稳,等.河流健康评价指标与权重分配的统计分析[J].水资源保护,2019,35(6):138-144.(SU Huidong, JIA Yangwen, NIU Cunwen, et al. Statistical analysis of river health assessment indicators and weight distribution[J]. Water Resources Protection,2019,35(6):138-144.(in Chinese))

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  • 收稿日期:2019-01-04
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  • 在线发布日期: 2019-11-28
  • 出版日期: 2019-11-20