Tracking Algorithm for Multiple Constantly Releasing Outdoor Pollutant Sources

摘要

Identifying outdoor pollutant sources accurately and rapidly can facilitate proper and effective air quality management in urban environments. Probability based inverse modelling method is shown viability for locating indoor contaminant sources. This paper advances the method to identify outdoor pollutant sources of constant release. The study develops an inverse modelling algorithm that can promptly locate multiple outdoor pollutant sources with limited pollution information detected by a movable sensor. Two numerical field examples are employed to verify the prediction: one in an open space and the other in an urban environment. The developed algorithms promptly and accurately identify the source locations in both cases.