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Published on: February 15, 2021
[Geographic information system based spatial analysis on chronic arsenic poisoning in a tin mining area, Thailand]
Jianjun Zhang1, Liping Wu, Kun Lin
1Department of Preventive Medicine, Shantou University Medical College, Shantou 515031, China. zhangjj@stu.edu.cn
Objective:
To explore the spatial features of arsenic contamination and its association with chronic arsenic poisoning in a tin mining area of Thailand.
Methods:
Geographic information system(GIS) was built up with integration of arsenic concentration in varied environmental media and occurring location data of chronic arsenism patients. Then, the spatial interpolation (IDW), buffer zoning, query and rank correlation analysis were applied.
Results:
Groundwater and surface farming land were classified according to local environmental arsenic standards; the relative risk areas were identified. The incidence of chronic arsenic poisoning was significantly correlated with arsenic level in groundwater and soil type (P < 0.05), and insignificantly related with water soluble arsenic in soil (P > 0.05).
Conclusion:
The arsenic content in drinking water could be critical to chronic arsenic poisoning. The soil type could be an important factor affecting such poisoning. Trend analysis in GIS could provide a valuable tool for understanding the pollution situation and disease surveillance.
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