Predicting groundwater arsenic contamination in Southeast Asia from surface parameters

被引:215
|
作者
Winkel, Lenny [1 ]
Berg, Michael [1 ]
Amini, Manouchehr [1 ]
Hug, Stephan J. [1 ]
Johnson, C. Annette [1 ]
机构
[1] Swiss Fed Inst Aquat Sci & Technol, Eawag, CH-8600 Dubendorf, Switzerland
关键词
D O I
10.1038/ngeo254
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Arsenic contamination of groundwater resources threatens the health of millions of people worldwide, particularly in the densely populated river deltas of Southeast Asia. Although many arsenic-affected areas have been identified in recent years, a systematic evaluation of vulnerable areas remains to be carried out. Here we present maps pinpointing areas at risk of groundwater arsenic concentrations exceeding 10 mu gl-1. These maps were produced by combining geological and surface soil parameters in a logistic regression model, calibrated with 1,756 aggregated and geo-referenced groundwater data points from the Bengal, Red River and Mekong deltas. We show that Holocene deltaic and organic-rich surface sediments are key indicators for arsenic risk areas and that the combination of surface parameters is a successful approach to predict groundwater arsenic contamination. Predictions are in good agreement with the known spatial distribution of arsenic contamination, and further indicate elevated risks in Sumatra and Myanmar, where no groundwater studies exist.
引用
收藏
页码:536 / 542
页数:7
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