Bayesian Spatial Design of Optimal Deep Tubewell Locations in Matlab, Bangladesh.

ABSTRACT: We introduce a method for statistically identifying the optimal locations of deep tubewells (dtws) to be installed in Matlab, Bangladesh. Dtw installations serve to mitigate exposure to naturally occurring arsenic found at groundwater depths less than 200 meters, a serious environmental health threat for the population of Bangladesh. We introduce an objective function, which incorporates both arsenic level and nearest town population size, to identify optimal locations for dtw placement. Assuming complete knowledge of the arsenic surface, we then demonstrate how minimizing the objective function over a domain favors dtws placed in areas with high arsenic values and close to largely populated regions. Given only a partial realization of the arsenic surface over a domain, we use a Bayesian s

SUBMITTER: Warren JL 

PROVIDER: S-EPMC4018770 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature