Literature DB >> 33007280

An improved weighted index for the assessment of heavy metal pollution in soils in Zhejiang, China.

Hongrui Yang1, Feier Wang2, Jie Yu3, Kuan Huang4, Huichun Zhang4, Zhihui Fu3.   

Abstract

Soil heavy metal pollution assessment is an important procedure in soil quality and ecological risk management, for which different mathematical models have been developed. However, these models have often failed to consider the characteristics of both heavy metals and the polluted sites. In this study, we analyzed the concentrations of seven heavy metals in soils in Zhejiang Province, China, and developed an improved weighted index (IWI) model to evaluate pollution levels. In contrast to traditional models, weights were assigned to different heavy metals using statistical tools, including hierarchical cluster analysis and principal component analysis. Of the 89 sites, 61.8% were considered unpolluted with IWI values < 1; 32.58% were slighted polluted with IWI values from 1 to 2, and only 2.25% of the sites were seriously polluted with IWI values > 3. The IWI results agree well with two traditional integrated index models, but can be also applied to much wider heavy metal concentration ranges. Possible pollution sources were then proposed based on the IWI model. The IWI overcame several shortcomings of the traditional indices and could be very beneficial for assessing heavy metal pollution in soil. Overall, this study developed a new model for soil pollution assessment and soil ecological risk management and comprehensively evaluated the current pollution status of soil surrounding potable surface water sources in Zhejiang Province, China.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Heavy metal pollution; Index model; Multivariate statistical analysis; Soil pollution assessment; Weighted index

Mesh:

Substances:

Year:  2020        PMID: 33007280     DOI: 10.1016/j.envres.2020.110246

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  4 in total

1.  Toxic Factors of Lead and Cadmium Fit in the Ecological Risk Assessment for Microorganisms.

Authors:  Dale Li; Jianwen Chen; Hong Zhang; Xiujuan Zhang; Junjian Li
Journal:  Front Microbiol       Date:  2022-06-24       Impact factor: 6.064

2.  Heavy metal accumulation by roadside vegetation and implications for pollution control.

Authors:  Rubina Altaf; Sikandar Altaf; Mumtaz Hussain; Rahmat Ullah Shah; Rehmat Ullah; Muhammad Ihsan Ullah; Abdul Rauf; Mohammad Javed Ansari; Sulaiman Ali Alharbi; Saleh Alfarraj; Rahul Datta
Journal:  PLoS One       Date:  2021-05-13       Impact factor: 3.752

3.  Source Identification and Superposition Effect of Heavy Metals (HMs) in Agricultural Soils at a High Geological Background Area of Karst: A Case Study in a Typical Watershed.

Authors:  Qiuye Zhang; Hongyan Liu; Fang Liu; Xianhang Ju; Faustino Dinis; Enjiang Yu; Zhi Yu
Journal:  Int J Environ Res Public Health       Date:  2022-09-09       Impact factor: 4.614

4.  Health risk assessment of heavy metals in marine fish to the population in Zhejiang, China.

Authors:  Jian-Long Han; Xiao-Dong Pan; Qing Chen; Bai-Fen Huang
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.