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

Yıl: 2020 Cilt: 4 Sayı: 1 Sayfa Aralığı: 27 - 38 Metin Dili: İngilizce DOI: 10.31015/jaefs.2020.1.5 İndeks Tarihi: 03-10-2020

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

Öz:
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 usedone learning function and, six different transfer function pairs with three different neuron numbers. The MATLABsoftware helped constructing ANNs models. In addition, the air pollutants and meteorological factors were used asinput parameters simultaneously at the ANNs. The end of the research, NOx, NO and NO2’s concentration levels weremodelled 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 - Symmetricsigmoid 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 analysesand correlation tests, it was concluded that O3, SO2, wind direction, wind speed, and relative humidity inputs weremore effective on the NO2, NO and NOx concentrations than the other inputs. Finally, it can be said that with the use ofboth air pollutants and meteorological factors as input parameters simultaneously the artificial neural network modelscan be simulated the concentration level of NO, NOx and NO2 with high accuracy.
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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. , 27 - 38. 10.31015/jaefs.2020.1.5
Chicago ALTIKAT AYSUN Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey. (2020): 27 - 38. 10.31015/jaefs.2020.1.5
MLA ALTIKAT AYSUN Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey. , 2020, ss.27 - 38. 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. . 2020; 27 - 38. 10.31015/jaefs.2020.1.5
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. . 2020; 27 - 38. 10.31015/jaefs.2020.1.5
IEEE ALTIKAT A "Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey." , ss.27 - 38, 2020. 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". (2020), 27-38. https://doi.org/10.31015/jaefs.2020.1.5
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. 10.31015/jaefs.2020.1.5
Chicago 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, no.1 (2020): 27 - 38. 10.31015/jaefs.2020.1.5
MLA 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, vol.4, no.1, 2020, ss.27 - 38. 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. International Journal of Agriculture, Environment and Food Sciences. 2020; 4(1): 27 - 38. 10.31015/jaefs.2020.1.5
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): 27 - 38. 10.31015/jaefs.2020.1.5
IEEE 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, ss.27 - 38, 2020. 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 (2020), 27-38. https://doi.org/10.31015/jaefs.2020.1.5