Numerical simulation on source identification of accidentally occurring air pollution

Sources identification for accidentally occurring air pollution based on temporary monitoring data is critical for pollution control and environmental management for better air quality. The objective of this paper is to develop a spatial estimation algorithm to identify the pollutant source for single point source air pollution problem. Air pollutants dispersion models were used to estimate the spatial distribution of the pollutants concentration. Based on the monitoring data for when an air pollution event occurs, a Monte Carlo simulation was used to estimate the locations of the pollutant sources. Case studies showed that the estimated locations of the pollutant sources matched well with the reality. This indicates that the spatial algorithm can be used for air pollution sources identification for when an air pollution event occurs.