Short term prediction of PM10 concentrations using seasonal time series analysis

Short term prediction of PM10 concentrations using seasonal time series analysis

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Air pollution modelling is one of an important tool that usually used to make short term and long term prediction. Since air pollution gives a big impact especially to human health, prediction of air pollutants concentration is needed to help the local authorities to give an early warning to people...

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Bibliographic Details
Main Authors: Abd Rahman N. (Author), Hamid, H.A (Author), Mohd Jaini Z. (Author), Rahmat S.N (Author), Ramli, N.A (Author), Ul-Saufie, A.Z (Author), Yahaya, A.S (Author), Yasin, M.N (Author), Yunus R. (Author)
Format: Article
Language:English
Published: EDP Sciences 2016
Subjects:
Air pollution
Air pollution modelling
Atmospheric thermodynamics
Environmental engineering
Forecasting
Health risks
Local authorities
Long-term prediction
PM10 concentration
Pollution
Seasonal autoregressive integrated moving averages
Seasonal time series
Short term prediction
Sustainable development
Time series analysis
Time series modeling
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