永定河北京段基于模糊数学的水体富营养化评价

以永定河北京段为研究对象,进行水质和水生态调查及动态指标的监测,选取候选评价指标,采用主成分分析法对评价指标进行筛选,并运用熵权法确定指标权重,从而构建河流富营养化评价指标体系。基于模糊数学算法,对永定河北京段进行了富营养化评价。结果表明:该水体富营养化问题较为广泛,但总体的富营养程度较轻。采用综合营养状态指数法和评分法进行评价对比研究,验证了该方法的可信度,且具有指标选择更灵活、评价结果更客观的优越性,可作为永定河北京段水体富营养化评价的重要方法和手段。

EUTROPHICATION EVALUATION OF YONGDING RIVER (BEIJING SECTION) BASED ON FUZZY MATHEMATICS

Taking the Beijing section of Yongding River as the research object, water quality and water eco-environment status were investigated and the dynamic indexes were monitored to select the candidate indicators. The evaluation indexes were screened by principal component analysis method, and the weight of each index was estimated by the entropy method so as to construct the river eutrophication evaluation index system. And fuzzy mathematics was used to calculate and determine the nutrient level in the Beijing section of Yongding River. The results showed that eutrophication was common in Beijing Section, but the problem was not serious. Two assessment methods, namely, comprehensive trophic level index(TLI) and eutrophication index(EI) were adopted to carry out the comparison, which verified the reliability of the proposed method. This method had the advantages of more flexible index selection and more objective evaluation results, and could be used as an important method and means for water eutrophication evaluation in Beijing section of Yongding River.