Fang Ren, Ph.D.
Mark P. Kumler, Ph.D.
Emergency warning sirens are a mass notification method that is used worldwide to quickly notify the public of a variety of dangers including flooding and acts of war. Siren network planners are faced with the question of where to locate new sirens to effectively reach citizens in a time of crises. This process answers a request from a GIS Analyst at the Bahrain Ministry of the Interior to create an ArcGIS Desktop Tool that predicts how far a siren’s sound will reach while considering siren properties and environmental variables, and then recommending siren locations that will completely cover a study area. This was accomplished by implementing a sound propagation engineering model and optimization analysis into two Python script tools that accept user input for any study area and output recommended siren points and their associated coverage area polygons. The sound propagation engineering model used was the ISO-9613-2 model with alterations recommended in the Joule Report.
Webster, B. (2014). Emergency Siren Sound Propagation and Coverage Optimization Analysis (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/223