Spatiotemporal variations, sources, water quality and health risk assessment of trace elements in the Fen River

Sci Total Environ. 2021 Feb 25:757:143882. doi: 10.1016/j.scitotenv.2020.143882. Epub 2020 Dec 3.

Abstract

As the largest river in Shanxi Province, the Fen River is the main water source for regional economic and ecological development. Water deficiency and industrialization have led to serious water pollution in the Fen River. The major and trace elements of seasonal river waters were measured to determine the spatiotemporal variations and assess the water quality as well as its controlling factors in the Fen River. Trace elements are divided into high abundance elements (B, Ba, Li, and Mn) and low abundance elements (As, Cu, Fe, Ni, Rb, Se, U, and V). The spatial variation of trace elements is obvious, with low values upstream, intermediate values downstream, and very high values midstream. The average values of the trace elements showed different seasonal variations, with high values of As, B, Ba, Mn, and Rb in the wet season, high Cu, V, and Li values in the dry season, and minor seasonal variations of Fe, Ni, Se, and U concentrations. Principal component analysis (PCA) and correlation analysis (CA) showed natural origins of Ba, Mn, Ni, and U, anthropogenic input of As, B, Cu, Li, Rb, Se, and V. According to the results of absolute principal component sore-multivariate linear regression (APCS-MLR), the major pollution sources in the Fen River basin were related to human activities. The land use type significantly influenced the concentrations of trace elements, with high values in the cropland and low values in the forest. The water quality index (WQI) values were higher in the midstream and wet season. In comparison with other rivers in the world, the pollution of the Fen River is at a moderate level. Health risk assessment showed that As, Ba, Mn, Ni, V, and Se were the potential pollutants damaging in the Fen River, especially for children. This study highlights the importance of seasonal sample analysis and can provide vital data for water quality conservation in the Fen River basin.

Keywords: Fen River; Health risk assessment; Spatiotemporal variation; Trace elements; Water quality.

MeSH terms

  • Child
  • Environmental Monitoring
  • Humans
  • Metals, Heavy* / analysis
  • Risk Assessment
  • Trace Elements* / analysis
  • Water Pollutants, Chemical* / analysis
  • Water Quality

Substances

  • Metals, Heavy
  • Trace Elements
  • Water Pollutants, Chemical