Methodology of spatial risk assessment for arsenic species associated with sampling and analysis results optimization

The Science of the Total Environment
Yimei ZhangPanpan Wu

Abstract

The conventional risk assessment methods may be defective for more effective health risk assessment due to ignoring heavy metal species and the accuracy and integrity of sampling and analysis results. Using the accurate and integral data to quantify the human health effects of metal species can provide great support for more effective health risk assessment. This study presents a new methodology to optimize sampling and analysis results for implementing the spatial human health risk of heavy metal species in contaminated sites. The method integrated Entropy method and Inverse Distance to a Power (IDW) for obtaining the effective risk, and mapping the visual risk distribution of metal species. The results of its application with ingesting arsenic via oral route on adults showed that carcinogenic and non-carcinogenic risks of As were influenced by its species. The risk of HAsO4-2, H3AsO3, H2AsO4-, H2AsO3- and AsS(OH)HS- exceeded threshold that was significantly harmful to human health in study area. This method broadened the scope of human health risk assessment and provided a basis for government policy-making and site remediation.

Citations

Aug 7, 2019·Water Environment Research : a Research Publication of the Water Environment Federation·B S ChoudriMushtaque Ahmed
Jun 22, 2021·Journal of Environmental Health Science & Engineering·Yiwei ZhaoXiangwei Pan

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