Spatiotemporal variation characteristics and source identification of water pollution: Insights from urban water system

作者：Zhizhou Yang, Lei Zou, Jun Xia, Yunfeng Qiao, Fengpeng Bai, Qiang Wang, Diwen Cai · 发表于：Ecological Indicators · 年份：2022 · DOI：10.1016/j.ecolind.2022.108892 · 被引用次数：49 · 研究领域：Urban Stormwater Management Solutions、Water Quality and Pollution Assessment、Water Resources and Sustainability

The ongoing expanding urban area had caused multiple sources of water quality degression issues and restrained the green development in many large cities. Identifing the pollution sources of water contamination during no rainy days and rainfall events in the urban–rural marginal catchment efficiently supports regulating and controlling water pollution. In this study, the spatiotemporal variation characteristics of the water pollution were analyzed and the pollution sources during no rainy days and rainfall events were identified based on an integrated framework of the urban water system. A case study was conducted using two receptor models in an ongoing expanding urban–rural marginal catchment in the Qingshan District, Wuhan City, China. Results revealed that the expansion of the urban area significantly varied the water quality. The positive matrix factorization (PMF) model was more convincing and provided more sources than the principal component analysis-multiple linear regressions (PCA-MLR) model. Receptor models also verified that the dominated sources were changed between urban, urban–rural and rural areas although non-point sources were the main pollution source (56.7 ∼ 71.9%). The runoff and land surface dusk, with contributions of 39.1 ∼ 41.7%, were the prioritized pollution sources for both the urban–rural and urban areas due to the heavily constructive activities and industrial emissions. However, the industrial factor and land surface dusk (42.4%) dominated the po...