Pollution Point Source Identification of in Rivers Based on the Backward Probability Method, Case Study River Severn

Pollution source identification in rivers is a secure issue. Backward Probability Method (BPM) is one of the tools that gives useful information about the prior position and the release time of pollution. It was originally developed in groundwater, so the main goal of this study is the application of BPM to identify the source location and the release time of the pollutant in surface water. In order to apply the model, A numerical code was developed based on adjoint analysis. We try to use this method in a real case. So this model is applied for Severn River. The results show that this model is able to trace the pollution source in a river with natural situation accurately. It doesn't need any simplification in domain. Since the simulation is done once, this method effectively reduces computational cost and gives a better choice to decrease the damages. It just needs a limited observation data.

Keywords:

Pollution Source Identification , Backward Probability Method , Adjoint Model , Accidental Spills