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主成分分析法与熵值法结合在水质评价中的应用

         

摘要

The water quality assessing indicators proposed by the previous studies generally confronted two shortages:the over-lapping of index information and the subjective deviation of weight parameters. So,the principal component analysis combined with the entropy value method is put forward. The comprehensive evaluation can be achieved through reducing the evaluation sys-tem dimension by principal component and weighing strategy of entropy value method. The proposed method is applied to the e-valuation of the water quality of Taizhou City in Zhejiang Province and the results are compared with those by other water quality assessment methods. It shows that the method can simplify the index system,reduce the impacts of subjective factors of single -index weight assignment by the specialists,and well reflect the spatial differences of water quality in upstream,middle stream and downstream of river network in Taizhou City. So the suggested method can be used to evaluate the comprehensive water quality in complex river network area.%针对河网水质综合评价中存在的指标信息重复依赖及赋权主观偏差问题,提出主成分分析法与熵值法联解的水质综合评价方法,即运用主成分分析法的系统降维思想和熵值法的赋权策略进行综合评价。将该方法用于浙江省台州市河流水质评价,并与传统评价方法进行了比较分析。结果表明,该方法实现了指标体系的简化,减少了专家赋分的主观因素影响;能够很好表达台州市河网水质上、中、下游空间差异,与其他评价方法相比,评价结果更加符合实际,可作为复杂河网区水质综合评价方法。

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