期刊
ENVIRONMENTAL POLLUTION
卷 165, 期 -, 页码 118-123出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2012.02.020
关键词
Geogenic pollution; Arsenicosis; Logistic regression; Spatial modeling
资金
- Sino-Swiss Science and Technology Cooperation (SSSTC) program
- National Science and Technology Pillar Program of China [2006BAI06B04]
- Chinese Academy of Sciences [GJHZ 0907]
Shanxi Province is one of the regions in northern China where endemic arsenicosis occurs. In this study, stepwise logistic regression was applied to analyze the statistical relationships of a dataset of arsenic (As) concentrations in groundwaters with some environmental explanatory parameters. Finally, a 2D spatial model showing the potential As-affected areas in this province was created. We identified topography, gravity, hydrologic parameters and remote sensing information as explanatory variables with high potential to predict high As risk areas. The model identifies correctly the already known endemic areas of arsenism. We estimate that the area at risk exceeding 10 mu g L-1 As occupies approximately 8100 km(2) in 30 counties in the province. (C) 2012 Published by Elsevier Ltd.
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