Literature DB >> 33770599

Spatial distribution, ecological risk and sources of heavy metals in soils from a typical economic development area, Southeastern China.

Qiumei Wu1, Wenyou Hu2, Huifeng Wang3, Peng Liu4, Xinkai Wang4, Biao Huang4.   

Abstract

Identification and quantification of the distribution, ecological risk, and sources of heavy metals in soils are essential for regional pollution control and management. In this study, spatial analysis (SA), GeogDetector model (GDM), and positive matrix factorization (PMF) model were combined to evaluate the status, ecological risk, and sources of heavy metals in soils from a typical coastal economic development area in Southeastern China. The mean contents of Cd, Pb, Cr, Cu, and Zn in the surface soils (0-20 cm) were 0.45, 41.72, 90.50, 47.86, and 145.33 mg/kg, respectively. In accordance, the mean contents of Cd exceeded the risk screening value for contamination of agricultural soil in China. Our results revealed that industrial and residential soils had higher enrichment of heavy metals than agricultural and fallow soils. Industrial production was the major driving factors influencing the spatial distribution of heavy metals. Soil OM and pH were found to be the most important factors affecting the potential ecological risk of heavy metals, followed by distance from the industrial enterprises and roads. Heavy metals in the study area were mainly originated from industrial emissions/atmospheric deposition, agricultural sources, and followed by natural sources. Therefore, regular monitoring and source control for heavy metals, especially for Cd, along with the integrated soil environmental management in the study area are crucial to ensure soil health and ecosystem security.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  GeogDetector model; Heavy metals; Potential ecological risk; Source identification; Spatial distribution

Year:  2021        PMID: 33770599     DOI: 10.1016/j.scitotenv.2021.146557

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

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Authors:  Ronnel C Nolos; Christine Joy M Agarin; Maria Ysabel R Domino; Pauline B Bonifacio; Eduardo B Chan; Doreen R Mascareñas; Delia B Senoro
Journal:  Int J Environ Res Public Health       Date:  2022-01-30       Impact factor: 3.390

2.  Modeling of Permeability Coefficient Calculations Based on the Mesostructure Parameters of Tailings.

Authors:  Baomeng Chang; Cuifeng Du; Yuan Wang; Xiaofeng Chu; Long Zhang
Journal:  ACS Omega       Date:  2022-02-11

3.  Highly Sensitive Detection of Iron Ions in Aqueous Solutions Using Fluorescent Chitosan Nanoparticles Functionalized by Rhodamine B.

Authors:  Zhiwei Liu; Na Li; Ping Liu; Zhihui Qin; Tifeng Jiao
Journal:  ACS Omega       Date:  2022-02-03

4.  Bi-Directional Pollution Characteristics and Ecological Health Risk Assessment of Heavy Metals in Soil and Crops in Wanjiang Economic Zone, Anhui Province, China.

Authors:  Dun Wu; Hai Liu; Jian Wu; Xia Gao; Ndhlovu Kataza Nyasha; Guojun Cai; Wenyong Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-08-05       Impact factor: 4.614

5.  Source, Distribution, and Risk Estimation of Hazardous Elements in Farmland Soils in a Typical Alluvial-Lacustrine Transition Basin, Hunan Province.

Authors:  Zihan Chen; Bingguo Wang; Chongwen Shi; Yonghui Ding; Tianqi Liu; Junshuai Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-09-02       Impact factor: 4.614

  5 in total

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