Distribution and source analysis of heavy metal pollutants in sediments of a rapid developing urban river system

Autor: Hong Huang, Kun Mei, Lili Luo, Liyin Qu, Randy A. Dahlgren, Ting Wang, Fang Xia, Han Chen, Minghua Zhang
Rok vydání: 2018
Předmět:
Pollution
Environmental Engineering
Watershed
010504 meteorology & atmospheric sciences
Environmental remediation
Life on Land
Health
Toxicology and Mutagenesis
media_common.quotation_subject
Environmental pollution
Chemical
010501 environmental sciences
01 natural sciences
Rivers
Metals
Heavy
Environmental monitoring
Environmental Chemistry
Humans
Meteorology & Atmospheric Sciences
Water Pollutants
0105 earth and related environmental sciences
media_common
Pollutant
Aquatic ecosystem
Public Health
Environmental and Occupational Health
Geographically weighted regression
General Medicine
General Chemistry
Heavy
Contamination
Multivariate statistics
Heavy metals
Metals
Wen-rui tang river
Environmental chemistry
Land use
Environmental science
Environmental Pollution
Water Pollutants
Chemical
Environmental Sciences
Environmental Monitoring
Zdroj: Xia, F; Qu, L; Wang, T; Luo, L; Chen, H; Dahlgren, RA; et al.(2018). Distribution and source analysis of heavy metal pollutants in sediments of a rapid developing urban river system. Chemosphere, 207, 218-228. doi: 10.1016/j.chemosphere.2018.05.090. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/28x92669
DOI: 10.1016/j.chemosphere.2018.05.090.
Popis: © 2018 Elsevier Ltd Heavy metal pollution of aquatic environments in rapidly developing industrial regions is of considerable global concern due to its potential to cause serious harm to aquatic ecosystems and human health. This study assessed heavy metal contamination of sediments in a highly industrialized urban watershed of eastern China containing several historically unregulated manufacturing enterprises. Total concentrations and solid-phase fractionation of Cu, Zn, Pb, Cr and Cd were investigated for 39 river sediments using multivariate statistical analysis and geographically weighted regression (GWR) methods to quantitatively examine the relationship between land use and heavy metal pollution at the watershed scale. Results showed distinct spatial patterns of heavy metal contamination within the watershed, such as higher concentrations of Zn, Pb and Cd in the southwest and higher Cu concentration in the east, indicating links to specific pollution sources within the watershed. Correlation and PCA analyses revealed that Zn, Pb and Cd were dominantly contributed by anthropogenic activities; Cu originated from both industrial and agricultural sources; and Cr has been altered by recent pollution control strategies. The GWR model indicated that several heavy metal fractions were strongly correlated with industrial land proportion and this correlation varied with the level of industrialization as demonstrated by variations in local GWR R2 values. This study provides important information for assessing heavy metal contaminated areas, identifying heavy metal pollutant sources, and developing regional-scale remediation strategies.
Databáze: OpenAIRE
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