Forecasting air pollution rates in industrial centres: a case study for Kocaeli-Turkey Online publication date: Tue, 10-Sep-2019
by Aliye Atay; Yılmaz Akdi; Yasin Okkaoğlu; Faruk Çelikkanat
International Journal of Environmental Technology and Management (IJETM), Vol. 22, No. 2/3, 2019
Abstract: Around the world, air pollution is a leading social problem despite all the precautions. Of all the reasons for this, human-induced ones are at the top of the list. These can be prevented or at least reduced by some measures. Thus, forecasting air pollution is an important issue for all related agencies. In this paper, in order to forecast future values of air pollution rates, two different model approaches were considered. The first one is the Box-Jenkins time series model and the second one is a trigonometric Yt = μ + Acos(wkt) + Bsin(wkt) + et time series model. As a main air pollution measurement index, monthly average amounts of particulate matter, PM10 were used. Kocaeli was selected as a representative city because it is the most important industrial city in Turkey. Hence, data were collected monthly from different air monitoring stations in the city of Kocaeli between 2007 and 2018 and averaged to produce a single time series. Both models yielded high forecast values of PM10.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environmental Technology and Management (IJETM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com