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

被引：16

作者：

Afzali, A. ^{[2
]}

Rashid, M. ^{[1
]}

Sabariah, B. ^{[3
]}

Ramli, M. ^{[2
]}

机构：

[1] UTM Kuala Lumpur, Malaysia Japan Int Inst Technol, Air Resources Res Lab, Kuala Lumpur 54100, Malaysia

[2] Univ Teknol Malaysia, Fac Chem Engn, Dept Chem Engn, Skudai 81310, Johor, Malaysia

[3] UTM Kuala Lumpur, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia

来源：

8TH INTERNATIONAL SYMPOSIUM OF THE DIGITAL EARTH (ISDE8) | 2014年 / 18卷

关键词：

PARAMETERS;

D O I：

10.1088/1755-1315/18/1/012100

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Ambient PM10 (i.e particulate diameter less than 10um in size) pollution has negative impacts on human health and it is influenced by meteorological conditions. Although the correlation between meteorological parameters and PM10 concentrations 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 PM10 concentration and the influence of meteorological parameters based on the data sampled from 2008 - 2010 in an industrial area of PasirGudang, Johor.

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