| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 577166 | Journal of Hazardous Materials | 2013 | 7 Pages |
Abstract
⺠Variables from topography, soil property, hydrology, gravity and remote sensing information can be used to build the model. ⺠Area more than 3000 km2 was found to have high risk of arsenic contamination. ⺠About 800,000 people may be at risk of high arsenic exposure. ⺠Arsenicosis occurrence rate can be partly predicted using predictive probability of As concentration above 50 μg Lâ1.
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Authors
Qiang Zhang, Luis Rodriguez-Lado, Juan Liu, C. Annette Johnson, Quanmei Zheng, Guifan Sun,