Literature DB >> 33121802

Estimation of spatial distribution and health risk by arsenic and heavy metals in shallow groundwater around Dongting Lake plain using GIS mapping.

Xiting Long1, Fei Liu2, Xin Zhou3, Jing Pi3, Wei Yin3, Fang Li3, Shuping Huang4, Fang Ma5.   

Abstract

Potable groundwater has become the primary water source for the local population because of the serious pollution of As and heavy metals in the surface water around the Dongting Lake Plain. A comprehensive research on the shallow groundwater was performed in this study via geographical information system (GIS) and geochemical method to evaluate groundwater quality and health risks of shallow groundwater in Dongting Lake Plain. Eighty-seven samples were collected and the content of As and twelve other heavy metals (e.g., Al, Fe, Zn, Cu, Mo, Ni, Mn, Co, Ba, Pb, Cd, and Cr) in the samples were detected by inductively coupled plasma-mass spectrum (ICP-MS) technology. The water pollution situation was assessed using heavy metal contents and evaluation indices, and human health risks were evaluated on the basis of both carcinogenic and noncarcinogenic aspects. Results showed that the shallow groundwater quality is moderately to heavily contaminated and should be considered in some areas of the Li and Xiangjiang River coasts. Several regions have the potential of carcinogenic risks induced by As and the groundwater in some regions may have the risk of Cr carcinogenesis in the wet season. These findings suggested that the potential harm caused by Fe, Zn, Mn, Cr, and As pollution of groundwater, especially As and Cr in wet season, must be considered. The spatio-temporal study on the groundwater quality evaluation may be beneficial to the protection and sustainable development of groundwater resources in Dongting Lake Plain.Summary: Although the overall noncarcinogenic health risk by metals in shallow groundwater of Dongting Lake is low, noncarcinogenic health risks caused by Fe, Zn, Mn, and As exist in some areas.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Arsenic; Dongting lake floodplain; GIS-Mapping; Heavy metal; Shallow groundwater

Mesh:

Substances:

Year:  2020        PMID: 33121802     DOI: 10.1016/j.chemosphere.2020.128698

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


  5 in total

1.  Spatial distribution and source identification for heavy metals in surface sediments of East Dongting Lake, China.

Authors:  Yi Yuan; Baolin Liu; Hao Liu
Journal:  Sci Rep       Date:  2022-05-13       Impact factor: 4.996

2.  Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water.

Authors:  Kevin Lawrence M De Jesus; Delia B Senoro; Jennifer C Dela Cruz; Eduardo B Chan
Journal:  Toxics       Date:  2022-02-18

3.  Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem.

Authors:  Timothy Haithcoat; Danlu Liu; Tiffany Young; Chi-Ren Shyu
Journal:  JMIR Med Inform       Date:  2022-04-06

4.  In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods.

Authors:  Delia B Senoro; Kevin Lawrence M de Jesus; Ronnel C Nolos; Ma Rowela L Lamac; Khainah M Deseo; Carlito B Tabelin
Journal:  Toxics       Date:  2022-06-21

5.  Health Risk Assessment of Heavy Metals in Shallow Groundwater of Coal-Poultry Farming Districts.

Authors:  Jiayu Chen; Herong Gui; Yan Guo; Jun Li
Journal:  Int J Environ Res Public Health       Date:  2022-09-22       Impact factor: 4.614

  5 in total

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