Year 2020, Volume 4 , Issue 1, Pages 27 - 38 2020-03-15

Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey

Aysun ALTIKAT [1]


The aim of this research is forecasting the NOx, NO2 and NO concentration levels with different artificial neural networks structures (ANNs) and determining the best ANNs structure for forecasting emissions. For this aim, it was used one learning function and, six different transfer function pairs with three different neuron numbers. The MATLAB software helped constructing ANNs models. In addition, the air pollutants and meteorological factors were used as input parameters simultaneously at the ANNs. The end of the research, NOx, NO and NO2's concentration levels were modelled with high accurate levels. The R2 values of the NOx, NO and NO2 were calculated as 0.998, 0.995 and 0.997, respectively. The best results were obtained from ANNs structures which used Logarithmic sigmoid - Symmetric sigmoid transfer functions with 20 and 30 neuron number for forecasting of the NOx and NO concentration levels, respectively. In addition, the forecasting of NO2 emission rate, the best results were determined from the ANNs structure used Logarithmic sigmoid - Linear transfer function with 30 neuron number. According to sensitivity analyses and correlation tests, it was concluded that O3, SO2, wind direction, wind speed, and relative humidity inputs were more effective on the NO2, NO and NOx concentrations than the other inputs. Finally, it can be said that with the use of both air pollutants and meteorological factors as input parameters simultaneously the artificial neural network models can be simulated the concentration level of NO, NOx and NO2 with high accuracy.
Air pollutions, Meteorological factor, ANN, Transfer function, Learning function
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Primary Language en
Subjects Environmental Engineering
Published Date March 2020
Journal Section Research Articles
Authors

Orcid: 0000-0001-9774-2905
Author: Aysun ALTIKAT (Primary Author)
Country: Turkey


Dates

Application Date : October 19, 2019
Acceptance Date : January 27, 2020
Publication Date : March 15, 2020

Bibtex @research article { jaefs634856, journal = {International Journal of Agriculture Environment and Food Sciences}, issn = {}, eissn = {2618-5946}, address = {Dicle University Faculty of Agriculture Department of Horticulture, 21280 Diyarbakir / Turkey}, publisher = {Gültekin ÖZDEMİR}, year = {2020}, volume = {4}, pages = {27 - 38}, doi = {10.31015/jaefs.2020.1.5}, title = {Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey}, key = {cite}, author = {ALTIKAT, Aysun} }
APA ALTIKAT, A . (2020). Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey. International Journal of Agriculture Environment and Food Sciences , 4 (1) , 27-38 . DOI: 10.31015/jaefs.2020.1.5
MLA ALTIKAT, A . "Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey". International Journal of Agriculture Environment and Food Sciences 4 (2020 ): 27-38 <https://dergipark.org.tr/en/pub/jaefs/issue/52434/634856>
Chicago ALTIKAT, A . "Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey". International Journal of Agriculture Environment and Food Sciences 4 (2020 ): 27-38
RIS TY - JOUR T1 - Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey AU - Aysun ALTIKAT Y1 - 2020 PY - 2020 N1 - doi: 10.31015/jaefs.2020.1.5 DO - 10.31015/jaefs.2020.1.5 T2 - International Journal of Agriculture Environment and Food Sciences JF - Journal JO - JOR SP - 27 EP - 38 VL - 4 IS - 1 SN - -2618-5946 M3 - doi: 10.31015/jaefs.2020.1.5 UR - https://doi.org/10.31015/jaefs.2020.1.5 Y2 - 2020 ER -
EndNote %0 International Journal of Agriculture Environment and Food Sciences Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey %A Aysun ALTIKAT %T Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey %D 2020 %J International Journal of Agriculture Environment and Food Sciences %P -2618-5946 %V 4 %N 1 %R doi: 10.31015/jaefs.2020.1.5 %U 10.31015/jaefs.2020.1.5
ISNAD ALTIKAT, Aysun . "Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey". International Journal of Agriculture Environment and Food Sciences 4 / 1 (March 2020): 27-38 . https://doi.org/10.31015/jaefs.2020.1.5
AMA ALTIKAT A . Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey. int. j. agric. environ. food sci.. 2020; 4(1): 27-38.
Vancouver ALTIKAT A . Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey. International Journal of Agriculture Environment and Food Sciences. 2020; 4(1): 38-27.