Literature DB >> 29800822

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

Fang Xia1, Liyin Qu1, Ting Wang1, Lili Luo1, Han Chen1, Randy A Dahlgren2, Minghua Zhang2, Kun Mei3, Hong Huang4.   

Abstract

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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Geographically weighted regression; Heavy metals; Land use; Multivariate statistics; Wen-rui tang river

Mesh:

Substances:

Year:  2018        PMID: 29800822     DOI: 10.1016/j.chemosphere.2018.05.090

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  9 in total

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Journal:  Biol Trace Elem Res       Date:  2020-11-10       Impact factor: 3.738

2.  The importance of drying and grinding samples for determining mobile chromium fractions in polluted river sediments.

Authors:  Marzena Trojanowska; Ryszard Świetlik
Journal:  Environ Monit Assess       Date:  2019-08-20       Impact factor: 2.513

3.  Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia.

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4.  A multiple model approach for evaluating the performance of time-lapse capsules in trapping heavy metals from water bodies.

Authors:  Shu-Yuan Pan; Wei-Jhan Syu; Tsun-Kuo Chang; Cheng-Hsun Lee
Journal:  RSC Adv       Date:  2020-04-25       Impact factor: 4.036

5.  Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification-A Case Study from Poland.

Authors:  Mariusz Sojka; Joanna Jaskuła
Journal:  Int J Environ Res Public Health       Date:  2022-08-23       Impact factor: 4.614

6.  Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbs of Kaifeng, China.

Authors:  Bingyan Jin; Jinling Wang; Wei Lou; Liren Wang; Jinlong Xu; Yanfang Pan; Jianbiao Peng; Dexin Liu
Journal:  Int J Environ Res Public Health       Date:  2022-09-07       Impact factor: 4.614

7.  Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient.

Authors:  Shudi Zuo; Shaoqing Dai; Yaying Li; Jianfeng Tang; Yin Ren
Journal:  Int J Environ Res Public Health       Date:  2018-10-04       Impact factor: 3.390

8.  Potentially Toxic Element Pollution Levels and Risk Assessment of Soils and Sediments in the Upstream River, Miyun Reservoir, China.

Authors:  Libo Pan; Guangling Fang; Yue Wang; Lei Wang; Benying Su; Dan Li; Bao Xiang
Journal:  Int J Environ Res Public Health       Date:  2018-10-25       Impact factor: 3.390

9.  Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999-2018.

Authors:  Ruru Han; Beihai Zhou; Huilun Chen
Journal:  Int J Environ Res Public Health       Date:  2021-05-31       Impact factor: 3.390

  9 in total

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