An adapted SLAB model using sensor data for the prediction on the dispersion of hazardous gas releases

摘要

In this research, we propose an emergency response system against hazardous gas releases. We use a sensor network already set up and operational in an area where hazardous gas releases can happen. From the real-time sensor data, we detect and analyze harmful materials releases and their concentrations. Based on that, the release rate of hazardous materials is estimated using the neural network. The proposed dispersion model, a modified SLAB model, performs the simulation of the expected dispersion consequence by combining the sensor data, GIS data and the diagnostic result of the source term. The result of this study will improve the confidence of residents living next to storage facilities of hazardous materials, by supplying the improved emergency response plan and monitoring system for toxic gas releases.