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      Environmental arsenic (As) and its potential relationship with endemic disease in southwestern China

      , , , ,
      Journal of Environmental Sciences
      Elsevier BV

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          A review of the source, behaviour and distribution of arsenic in natural waters

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            A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessment

            Soil heavy metal pollution has been becoming serious and widespread in China. To date, there are few studies assessing the nationwide soil heavy metal pollution induced by industrial and agricultural activities in China. This review obtained heavy metal concentrations in soils of 402 industrial sites and 1041 agricultural sites in China throughout the document retrieval. Based on the database, this review assessed soil heavy metal concentration and estimated the ecological and health risks on a national scale. The results revealed that heavy metal pollution and associated risks posed by cadmium (Cd), lead (Pb) and arsenic (As) are more serious. Besides, heavy metal pollution and associated risks in industrial regions are severer than those in agricultural regions, meanwhile, those in southeast China are severer than those in northwest China. It is worth noting that children are more likely to be affected by heavy metal pollution than adults. Based on the assessment results, Cd, Pb and As are determined as the priority control heavy metals; mining areas are the priority control areas compared to other areas in industrial regions; food crop plantations are the priority control areas in agricultural regions; and children are determined as the priority protection population group. This paper provides a comprehensive ecological and health risk assessment on the heavy metals in soils in Chinese industrial and agricultural regions and thus provides insights for the policymakers regarding exposure reduction and management.
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              Global threat of arsenic in groundwater

              Naturally occurring arsenic in groundwater affects millions of people worldwide. We created a global prediction map of groundwater arsenic exceeding 10 micrograms per liter using a random forest machine-learning model based on 11 geospatial environmental parameters and more than 50,000 aggregated data points of measured groundwater arsenic concentration. Our global prediction map includes known arsenic-affected areas and previously undocumented areas of concern. By combining the global arsenic prediction model with household groundwater-usage statistics, we estimate that 94 million to 220 million people are potentially exposed to high arsenic concentrations in groundwater, the vast majority (94%) being in Asia. Because groundwater is increasingly used to support growing populations and buffer against water scarcity due to changing climate, this work is important to raise awareness, identify areas for safe wells, and help prioritize testing.
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                Author and article information

                Contributors
                Journal
                Journal of Environmental Sciences
                Journal of Environmental Sciences
                Elsevier BV
                10010742
                May 2024
                May 2024
                : 139
                : 46-59
                Article
                10.1016/j.jes.2023.05.005
                38105068
                cf9a7af8-24e4-45b1-821f-73a81dd03c15
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

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