Identification of atmospheric pollution source based on particle swarm optimization

• Main Authors: W. Chaiwino, T. Mouktonglang
• Format: Journal
• Published: 2019
• Subjects: Mathematics
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066810604&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/65679
• Institution: Chiang Mai University

© 2019 by the Mathematical Association of Thailand. In this paper, we develop a mathematical model for retrieving the positions and the rates of the emission of the pollutant sources. We begin by measuring the pollutant concentrations from pollutant sensors and then we apply particle swarm optimization (PSO) minimizing the differences between the theoretical and the measured concentration. The results of the test cases show that the mathematical model is capable of retrieving the positions and the rates of the emissions of the pollutant sources. We also design the placement of pollutant sensors for the pollutant detecting system to be able to retrieve the positions and the emission rates of the pollutant sources effectively.