Identification and apportionment of groundwater pollution sources in the Guanzhong region based on PMF model

Human and Ecological Risk Assessment An International Journal, Год журнала: 2024, Номер unknown, С. 1 - 23

Опубликована: Дек. 4, 2024

Identifying pollution sources and measuring their impact is essential for protecting groundwater. Groundwater in the Guanzhong region were identified using positive matrix decomposition (PMF) model, contributions quantified. The spatial distribution of socio-economic factors (population, GDP, fertilizer use, farmland, livestock) was analyzed. Redundancy correlation analyses used to assess land use on groundwater quality. results showed that primary physicochemical constituents exceeding standard limits were, descending order, NO3−, Na+, TDS, F−, SO42−, Cl−, most polluted areas found eastern southern parts study area. Land can have diverse impacts Five main responsible quality deterioration comprehensively identified, i.e., agricultural nonpoint sources, domestic from urban rural development, natural release fluorine stratigraphic minerals as well coal mine storage combustion, industrial discharges, water-rock reactions. Natural discharges are major causes degradation area, which followed by reactions, agriculture, pollution.

Язык: Английский

New Insights into Pollution Source Analysis using Receptor Models: Effects of Interaction between Heavy Metals and DOM on Source Identification and Apportionment in Rivers across Industrial City

Journal of Hazardous Materials, Год журнала: 2024, Номер 484, С. 136792 - 136792

Опубликована: Дек. 4, 2024

Язык: Английский