Year 2017, Volume 12 , Issue 3, Pages 256 - 263 2017-09-30

Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks

Yasin Akın AYTURAN [1] , Ali ÖZTÜRK [2] , Zeynep Cansu AYTURAN [3]


Air pollution is one of the most significant issues of human being faced nowadays because it can create adverse effects on both health of human and other livings. There are several air pollutants which are considered as dangerous such as sulphur dioxide (SO2), nitrous oxide (NOx), carbon monoxide (CO), volatile organic compounds (VOC) and particulate matter (PM). Particulate matter is one the most significant air pollutants because it may create respiratory, cardiological and pulmonary problems by inhalation by nose on humans. Also, heavy metals and hydrocarbons may be adsorbed on PM surface, so it is considered as carcinogenic by World Health Organization (WHO). When all these negative effects of PM are taken into consideration, it is important that PM future concentration should be determined for taking precautions. PM is classified according to the diameter of the particles and PM10 is described as particulates which has diameter smaller than 10 micrometres. In this study, PM10 pollution was predicted with artificial neural network (ANN) for Karatay district of Konya. ANN includes interconnected structures that can make parallel computations. Several meteorological factors and air pollutant concentrations was provided by database of Ministry of Environment and Urbanisation belonging to autumn period of 2016 such as SO2 concentration, NO concentration, NOx concentration, NO2 concentration, CO concentration, O3 concentration, wind speed, temperature, relative humidity, air pressure, wind direction and previous day’s PM10 concentration. These parameters were used in the model as input parameters and PM10 concentration for one day later was used as an output parameter. Prediction performance of the obtained model was very promising when the similar studies are examined.
Artificial neural network, modelling, air pollution, PM10, factor
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Primary Language en
Journal Section Articles
Authors

Author: Yasin Akın AYTURAN (Primary Author)
Institution: Electronic and Computer Engineering Department, Graduate School of Natural and Applied Science, Karatay University, Konya, Turkey
Country: Turkey


Author: Ali ÖZTÜRK

Author: Zeynep Cansu AYTURAN

Dates

Publication Date : September 30, 2017

Bibtex @research article { jieas479480, journal = {Journal of International Environmental Application and Science}, issn = {1307-0428}, eissn = {2636-7661}, address = {}, publisher = {Selcuk University}, year = {2017}, volume = {12}, pages = {256 - 263}, doi = {}, title = {Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks}, key = {cite}, author = {Ayturan, Yasin Akın and Öztürk, Ali and Ayturan, Zeynep Cansu} }
APA Ayturan, Y , Öztürk, A , Ayturan, Z . (2017). Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks . Journal of International Environmental Application and Science , 12 (3) , 256-263 . Retrieved from https://dergipark.org.tr/en/pub/jieas/issue/40241/479480
MLA Ayturan, Y , Öztürk, A , Ayturan, Z . "Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks" . Journal of International Environmental Application and Science 12 (2017 ): 256-263 <https://dergipark.org.tr/en/pub/jieas/issue/40241/479480>
Chicago Ayturan, Y , Öztürk, A , Ayturan, Z . "Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks". Journal of International Environmental Application and Science 12 (2017 ): 256-263
RIS TY - JOUR T1 - Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks AU - Yasin Akın Ayturan , Ali Öztürk , Zeynep Cansu Ayturan Y1 - 2017 PY - 2017 N1 - DO - T2 - Journal of International Environmental Application and Science JF - Journal JO - JOR SP - 256 EP - 263 VL - 12 IS - 3 SN - 1307-0428-2636-7661 M3 - UR - Y2 - 2017 ER -
EndNote %0 Journal of International Environmental Application and Science Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks %A Yasin Akın Ayturan , Ali Öztürk , Zeynep Cansu Ayturan %T Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks %D 2017 %J Journal of International Environmental Application and Science %P 1307-0428-2636-7661 %V 12 %N 3 %R %U
ISNAD Ayturan, Yasin Akın , Öztürk, Ali , Ayturan, Zeynep Cansu . "Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks". Journal of International Environmental Application and Science 12 / 3 (September 2017): 256-263 .
AMA Ayturan Y , Öztürk A , Ayturan Z . Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks. JIEAS. 2017; 12(3): 256-263.
Vancouver Ayturan Y , Öztürk A , Ayturan Z . Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks. Journal of International Environmental Application and Science. 2017; 12(3): 256-263.
IEEE Y. Ayturan , A. Öztürk and Z. Ayturan , "Modelling of PM10 Pollution in Karatay District of Konya with Artificial Neural Networks", Journal of International Environmental Application and Science, vol. 12, no. 3, pp. 256-263, Sep. 2017