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
Online Access:	View Fulltext in Publisher View in Scopus

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