PM10 Pollution: Its Prediction and Meteorological Influence in PasirGudang, Johor

8th International Symposium of the Digital Earth

地球科学;计算机科学

Afzali, A.^1 ; Rashid, M.^2 ; Sabariah, B.^3 ; Ramli, M.^1

Department of Chemical Engineering, Faculty of Chemical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia^1

Air Resources Research Laboratory, Malaysia-Japan International Institute of Technology, UTM Kuala Lumpur, 54100 Kuala Lumpur, Malaysia^2

Malaysia-Japan International Institute of Technology, UTM Kuala Lumpur, 54100 Kuala Lumpur, Malaysia^3

关键词: Complex relationships;    Linear relationships;    Meteorological condition;    Meteorological influence;    Meteorological parameters;    Model performance;    Multi-linear regression;    PM10 concentration;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012100/pdf
DOI  :  10.1088/1755-1315/18/1/012100

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Ambient PM10(i.e particulate diameter less than 10 um in size) pollution has negative impacts on human health and it is influenced by meteorological conditions. Although the correlation between meteorological parameters and PM10concentrations is significant in most cases, the linear relationship between them implies that the fraction of the variance, R2 rarely exceeds 25%. However, considering the previous day's concentration of pollutants to the multi-linear regression enhances the model performance and increases the value of R2. Alternatively, artificial neural networks (ANN) are used to capture the complex relationships among many factors considered which present a better prediction. Thus, this study presents the results of predicting ambient PM10concentration and the influence of meteorological parameters based on the data sampled from 2008-2010 in an industrial area of PasirGudang, Johor.