A new collaborative multi‐agent Monte Carlo simulation model for spatial correlation of air pollution global risk assessment

• Main Authors: Hassan, Mustafa Hamid, Mostafa, Salama A., Mustapha, Aida, Saringat, Mohd. Zainuri, Al-Rimy, Bander Ali Saleh, Saeed, Faisal, Eljialy, A. E. M., Jubair, Mohammed Ahmed
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/104202/1/BanderAliSaleh2022_ANewCollaborativeMultiAgent.pdf; http://eprints.utm.my/104202/; http://dx.doi.org/10.3390/su14010510

Air pollution risk assessment is complex due to dynamic data change and pollution source distribution. Air quality index concentration level prediction is an effective method of protecting public health by providing the means for an early warning against harmful air pollution. However, air quality i...