Spatial-temporal variation of heavy metals' sources in the surface sediments of the Yangtze River Estuary

Mar Pollut Bull. 2019 Jan:138:526-533. doi: 10.1016/j.marpolbul.2018.12.010. Epub 2018 Dec 13.

Abstract

In this study, positive matrix factorization, multilinear engine 2, and geographic information systems were used to characterize the spatial-temporal patterns of sources for nine heavy metals in the surface sediments of the Yangtze River Estuary in different seasons. Results showed that six sources were identified: agricultural pesticide, marine transportation, chemical factory wastewater, metal smelter waste, atmospheric deposition, and agricultural fertilizer. The proportions of sources were similar during the entire year but varied among the seasons. The differences in the proportions of agricultural pesticide between winter and other seasons were greater than 12%. Over 40% of the Cd concentration in most seasons was attributed to atmospheric deposition, while less than 5% in autumn. The impact strength of most sources, except marine transportation and metal smelter waste, decreased from the inner regions to the adjacent sea. The difference in the impact strength of agricultural pesticide was the largest throughout the study area.

Keywords: Heavy metals; Multilinear Engine 2; Positive matrix factorization; Source apportionment; Spatial-temporal variation.

MeSH terms

  • China
  • Environmental Monitoring
  • Estuaries
  • Fertilizers
  • Geologic Sediments / analysis*
  • Metals, Heavy / analysis*
  • Pesticides / analysis
  • Rivers
  • Seasons
  • Spatio-Temporal Analysis
  • Wastewater
  • Water Pollutants, Chemical / analysis*
  • Water Pollution, Chemical / analysis

Substances

  • Fertilizers
  • Metals, Heavy
  • Pesticides
  • Waste Water
  • Water Pollutants, Chemical