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Application study of fuzzy synthetic evaluation for wetland water quality assessment: A case study of Poyang lake, China

机译:模糊综合评价在湿地水质评价中的应用研究-以Po阳湖为例

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Traditional evaluation methods of the water quality parameters exist more deficiency. Entropy right process and fuzzy mathematics method are combined to establish an improved fuzzy synthetic evaluation method. Total phosphorus (TP) ? total nitrogen (TN) and index of permanganate (CODmo) are selected as observed indicators in this paper. According to Mensal measured data of water quality at 5 points from 2008 and 2009 years, based on fuzzy synthetic evaluation method for water quality assessment analysed in Poyang lake. The assessment results showed that Water quality of measure stations in different water seasons changed to take turns: normal water season > flood season > dry season, the pollution's degree at town's stations was smaller than counties' stations, at which sample were affected greater by industry and agriculture, and we must pay attention to let contamination in counties.
机译:传统的水质参数评价方法存在较多的不足。结合熵权法和模糊数学方法,建立了一种改进的模糊综合评价方法。总磷(TP)选择总氮(TN)和高锰酸盐指数(CODmo)作为观测指标。根据Mensal在2008年和2009年的5个点的水质实测数据,基于模糊综合评价法对Po阳湖水质进行了评价。评估结果表明,不同水期的测站水质依次变化:正常水季>汛期>旱季,镇站污染程度小于县站污染,各行业对样本的影响更大。和农业,我们必须注意让县污染。

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