Back-calculation of outdoor PM2.5 pollutant source around microscale controlled area by genetic-pattern search algorithm
An effective targeted diagnosis method,distributed traceability method for atmospheric pollutants combining Gaussian plume model and genetic-pattern search algorithm,was proposed,aiming at air pollutants that may occur in the micro-scale control area.The corresponding relationship between the calculated pollutant concentration obtained from pollution backcalculation model and the observation value of the monitoring sensor was used as the objective function.Pattern search algorithm was embedded in the genetic algorithm to speed up the search process of the inverse calculation model,then to inversely calculate the intensity and location of the pollution source.A validation experiment was conducted by monitoring the PM2.5 mass concentration,meteorology and other data based on the atmospheric sensor data of Hangzhou Asian Games cricket stadium in October 2021.Results showed,compared with other methods,the effect of the improved genetic-pattern search algorithm for multi-dimensional variables was better,and the location and intensity of pollution sources could be calculated more quickly and accurately.This research can provide suggested solution for environmental emergencies of air pollution in micro-scale control regions.
万方数据
维普
