Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China

作者：Wenjie Yang, Yue Zhao, Dong Wang, Huihui Wu, Aijun Lin, Li He · 发表于：International Journal of Environmental Research and Public Health · 年份：2020 · DOI：10.3390/ijerph17082942 · 被引用次数：311 · 研究领域：Water Quality and Pollution Assessment、Groundwater and Watershed Analysis、Groundwater and Isotope Geochemistry

This study was aimed at assessing the spatial and temporal distribution of surface water quality variables of the Xin'anjiang River (Huangshan). For this purpose, 960 water samples were collected monthly along the Xin'anjiang River from 2008 to 2017. Twenty-four water quality indicators, according to the environmental quality standards for surface water (GB 3838-2002), were detected to evaluate the water quality of the Xin'anjiang River over the past 10 years. Principal component analysis (PCA) was used to comprehensively evaluate the water quality across eight monitoring stations and analyze the sources of water pollution. The results showed that all samples could be analyzed by three main components, which accounted for 87.24% of the total variance. PCA technology identified important water quality parameters and revealed that nutrient pollution and organic pollution are major latent factors which influence the water quality of Xin'anjiang River. It also showed that agricultural activities, erosion, domestic, and industrial discharges are fundamental causes of water pollution in the study area. It is of great significance for water quality safety management and pollution control of the Xin'anjiang River. Meanwhile, the inverse distance weighted (IDW) method was used to interpolate the PCA comprehensive score. Based on this, the temporal and spatial structure and changing characteristics of water quality in the Xin'anjiang River were analyzed. We found that the overall water...