准确评价水质状况是对水资源进行利用与保护的重要前提。基于偏序集评价理论,提出熵权-偏序集水质评价模型,依据分级准则划分评价等级,并确定评价指标。根据Hasse矩阵得出Hasse图,通过分析Hasse图展现的层级信息了解水源质量分类情况。运用该模型对长江及嘉陵江干流段9个监测点水质进行评价。结果表明:该方法评价结果较为准确,克服了熵权法赋权时对样本量的依赖,并有效解决了传统评价方法中指标主观赋权的争议问题,为水质评价提供了一种新方法。
Abstract
Accurate evaluation of the quality of water environment is an important prerequisite for the utilization and protection of water resources. A hybrid model of water quality evaluation is proposed based on entropy weight method and partial order set evaluation to divide evaluation levels and determine evaluation indices according to classification criteria. According to the Hasse diagram obtained from Hasse matrix, the ratings of water quality is acquired by analyzing the hierarchical information presented by the Hasse diagram. The model is used to evaluate the water quality of nine monitoring points in the mainstream of the Yangtze River and Jialing River. Results demonstrate the accuracy of the present model. It is applicable to water quality evaluation as it overcomes the dependence on sample scale in entropy weight method and meanwhile solves the dispute over subjective weighting in conventional evaluation methods.
关键词
水质评价 /
偏序集 /
熵权法 /
赋权争议 /
Hasse图
Key words
water quality assessment /
partial order set /
entropy weight method /
empowerment dispute /
Hasse diagram
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基金
国家自然科学基金青年基金项目(41501548)
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