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作 者:林涛[1,2] 徐盼盼[1,2] 钱会[1,2] 侯凯[1,2] 杨咪[1,2]
机构地区:[1]长安大学环境科学与工程学院,西安710054 [2]旱区地下水与生态效应教育部重点实验室,西安710054
出 处:《环境化学》2017年第6期1388-1396,共9页Environmental Chemistry
基 金:国家自然科学基金(41172212);微尺度水文生态研究(310829173306);旱区-半干旱区干旱预警及水资源配置研究(310829173701)和基于水文循环的水资源管理研究(310829172202)~~
摘 要:以黄河宁夏段干流水质监测资料为基础,利用多元统计法对水质样本点进行主因子分析、方差检验和聚类分组,对分组后的水质指标样本点应用综合水质标识指数进行综合评定.结果表明:(1)黄河宁夏段干流水体水质量为Ⅱ—Ⅴ类水质,入境断面水质量为Ⅱ类水质,出境断面水质量为Ⅲ类水质.(2)从上游到下游断面水质呈现恶化趋势,平水期最好,丰水期次之,枯水期最差.(3)水质评价结果分辨率高,客观反映了黄河宁夏段综合水质特征信息.因此,基于多元统计与综合水质标识指数的水质评价方法对黄河宁夏段水环境的水质评价工作具有较好的适用性.Based on the statistics of monitoring data of the main stream of the Yellow River in Ningxia,using multivariate statistical method,variance check and cluster testing to analyze the main factors of the water quality sample spot,the integrated water quality identification index was used to evaluate the water quality of grouped water samples. The results indicated that the water quality of the main stream,entry section and the boundary section of the Yellow River in Ningxia wereⅡ—Ⅴ,Ⅱ and Ⅲ,respectively. The water quality deteriorated from the upstream to downstream,and it was the best in the normal season,second in the wet season,and the worst in the dry season.With high discrimination rate,the evaluation results of water quality reflect the water quality information. therefore,based on multivariate statistical and comprehensive water quality identification index,this water quality evaluation method had better applicability in studying the water quality of the Yellow River in Ningxia.
分 类 号:X824[环境科学与工程—环境工程]
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