A computational system for risk analysis of incidental toxic gases releases considering stochastic variables

Abstract

This work presents a computational system to be used as a tool for risk management in catastrophic events involving toxic gases dispersion as a consequence of hazardous material transportation accidents. A novel methodology for Quantitative Risk Analysis (QRA) capable of dealing with stochastic atmospheric parameters, fixed/mobile emitter sources and population density variability is developed in order to estimate the F-N curve and pollutant concentration distribution. A special DEGADIS program-based computational tool is described and successfully applied to solve a base case study.