Performance of Bayesian Model Averaging (BMA) for Short-Term Prediction of PM10 Concentration in the Peninsular Malaysia
In preparation for the Fourth Industrial Revolution (IR 4.0) in Malaysia, the government envisions a path to environmental sustainability and an improvement in air quality. Air quality measurements were initiated in different backgrounds including urban, suburban, industrial and rural to detect any...
類似資料
-
Variability of PM10 level with gaseous pollutants and meteorological parameters during episodic haze event in Malaysia: Domestic or solely transboundary factor?
著者:: Addiena A Rahim N.A.; Noor N.M.; Mohd Jafri I.A.; Ul-Saufie A.Z.; Ramli N.; Abu Seman N.A.; Kamarudzaman A.N.; Rozainy Mohd Arif Zainol M.R.; Victor S.A.; Deak G.
出版事項: (2023) -
Performance of multiple linear regression model for long-term PM 10 concentration prediction based on gaseous and meteorological parameters
著者:: 2-s2.0-84866261034
出版事項: (2012) -
Physiochemical characterization of ambient PM10 and PM 2.5 in an urban environment
著者:: Kumar, 等
出版事項: (2025) -
Physiochemical characterization of ambient PM10 and PM2.5 in an urban environment
著者:: 2-s2.0-85212569386
出版事項: (2025) -
Prediction of Daily Air Pollutants Concentration and Air Pollutant Index Using Machine Learning Approach
著者:: Mustakim N.A.; Ul-Saufie A.Z.; Shaziayani W.N.; Noor N.M.; Mutalib S.
出版事項: (2023)