AIR pollution traceability based on OK-IGSO integration algorithm

¹ Nanjing University of Technology, Nanjing 211816, China ;
² Nanjing University of Technology, Nanjing 211816, China
³ Nanjing University of Technology, Nanjing 211816, China
⁴ Saimo Technology Co., Ltd, Xuzhou 221000, China

^a 770682895@qq.com
^b 995613608@qq.com
^* 616987750@qq.com
^c 224569644@qq.com

Abstract

Aiming at the tracing problem of ambient air quality exceeding the standard caused by the unorganized emission of multiple pollution sources in the chemical industry park, an air pollution tracing method based on OK-IGSO integrated algorithm is proposed. First of all, the ordinary Kriging algorithm (OK) of geostatistics is applied to the prediction and interpolation of atmospheric pollutants in the chemical industry park, so that the distribution of pollutants is closer to reality; Then, based on the improved glowworm algorithm (IGSO), a dynamic backtracking method for multiple pollution sources in the chemical industry park is proposed to solve the multimodal function, obtain the optimal solution of this function, and trace the location of the pollution source. Finally, taking the environmental pollution traceability around Xuwei Port Park as an example, the air pollution traceability analysis method of OK-IGSO Chemical Park was tested and verified. The test results proved the progressiveness of IGSO algorithm, which can effectively improve the efficiency and accuracy of multiple pollution sources.