Risk modeling

English

|  Việt

In a previous study we developed a model using existing 2D surface data (geology and soil properties) for Southeast Asia, which allows areas that are vulnerable to arsenic groundwater contamination to be pinpointed. In the present study we go one step further and create a regional arsenic prediction model for the Red River delta based on a new set of 3D-geological data used as independent variables in the model. This is the first time that a 3D model could be created to pinpoint arsenic contamination of groundwater. Measured arsenic concentrations obtained in the hydrogeochemical study are used as dependent variables in the model.

For details see Winkel et al., PNAS, 108, January 2011 [...]