Arsenic contamination of groundwater in many
nations including Bangladesh shows that this is a global
problem. Because of the delayed health effects, poor
reporting, and low levels of awareness in some communities,
the extent of the adverse health problems caused by arsenic
in drinking water is at alarming level in Bangladesh. Also,
allocating resources such as tube wells efficiently and
effectively to mitigate arsenic hazard is a challenging task in
Bangladesh. To allocate resources based on different arsenic
hazard parameters, we have developed a Decision Support
System that enables the user to observe the effect of
allocation policy both in tabular and spatial format using
statistical models. We have also developed an algorithm for
optimal allocation of resources. A Smart User Interface is
designed for the users so that they will find an interactive,
user-friendly, intelligible, logical, clear, and sound
environment to work with. Finally, we have analyzed and
demonstrated the efficacy of our algorithm graphically