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Assessment of surface water quality using PCA and FA in Jinghe River of Shaanxi Province, China

机译:利用PCA和FA对陕西Jing河地表水水质进行评价。

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Assessment the changes of surface water quality in different times throughout one year is an important aspect for evaluating temporal variation of river pollution due to natural or anthropogenic input of point and non-point sources to water environment that is gradually deteriorating. In this paper, principal component analysis & factor analysis (PCA & FA) is conducted according to the average value of 16 monitoring data taken from Shaanxi Reach of the Jinghe River in three years and dividing it into dry season, normal-water season and wet season. And the most important water quality parameters in different times is selected according to the standard that the correlation coefficient value of water quality variable of rotated factor loaded matrix is larger than 85%. Analysis shows that the most important parameters are mainly salinity indexes of natural input in dry season, the main parameters in wet season are indexes of non-point source pollution by anthropogenic input (including nitrogen nutritional index and salinity index) and the index of upstream organic pollution (volatile phenol) which is carried by large amount of runoff. No obvious regularity in other water period. And sulfate is always the most important water quality parameter in Jinghe River, Shaanxi Province in different water period.
机译:评估一年中不同时间的地表水水质变化是评估由于点和非点源自然或人为输入水环境而导致的河流污染随时间恶化的时间变化的重要方面。本文根据the河陕西段三年的16个监测数据的平均值进行主成分分析和因子分析(PCA和FA),并将其分为旱季,正常水季和湿季。季节。根据旋转因子加载矩阵水质变量的相关系数值大于85%的标准,选择不同时间最重要的水质参数。分析表明,最重要的参数主要是旱季自然投入的盐分指标,湿季的主要参数是人为投入造成的面源污染指标(包括氮营养指标和盐度指标)和上游有机物指标。大量径流携带的污染(挥发性酚)。其他水期无明显规律性。在不同水期,硫酸盐一直是陕西Jing河最重要的水质参数。

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