AIR pollution traceability based on OK-IGSO integration algorithm

Wen Da Cai, Cui Mei Bo, Jun Li, Qi Fang Li

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number03010
JournalE3S Web of Conferences
Volume393
DOIs
StatePublished - 2 Jun 2023
Event5th International Conference on Environmental Prevention and Pollution Control Technologies, EPPCT 2023 - Chengdu, China
Duration: 21 Apr 202323 Apr 2023

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