The human-wildlife conflict poses significant challenges for communities that live near wildlife habitats. In this study, we use a dynamic data-driven agent-based model (ABM) developed using DDDAS principles as a computational tool to study space-use characteristics and emergent human-elephant conflict patterns as a response to different scenarios of water availability. The ABM has individual elephant agents that dynamically make movement decisions on the basis of data-driven behavior and movement models. We simulate various scenarios involving Asian elephants (Elephas maximus) and their environment in a region in the Periyar-Agastyamalai complex in southern India. In the current application, we focus on examining how rivers, streams, and water holes influence the spatial distribution of elephant activity and crop-raiding behavior. Through simulation experiments, we explore the implications of water availability on human-elephant interaction patterns. The crucial role that water plays in determining the spatial utilization patterns of elephants is highlighted. The results of the experiments indicate that crop raiding also occurs opportunistically as elephants access human settlements in search of water sources. Furthermore, the availability of water significantly influences spatial utilization patterns, which warrants further investigation as a potential strategy for conflict management.