AIR pollution traceability based on OK-IGSO integration algorithm

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

科研成果: 期刊稿件会议文章同行评审

摘要

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.

源语言英语
文章编号03010
期刊E3S Web of Conferences
393
DOI
出版状态已出版 - 2 6月 2023
活动5th International Conference on Environmental Prevention and Pollution Control Technologies, EPPCT 2023 - Chengdu, 中国
期限: 21 4月 202323 4月 2023

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