Development of efficient pollution source identification model using ann gms ga based simulation optimization approach

Abstract

Identification of unknown pollution sources is an important and challenging task for the engineers working on pollution management of a groundwater aquifer The locations and the transient magnitude of contaminant sources can be identified using inverse optimization techniques In this approach an error function is formulated which can be minimized using an optimization algorithm The error function is the difference between simulated and observed contaminant concentration at observation locati