Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz
Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN) technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regr...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kerman University of Medical Sciences
2015-09-01
|
| Series: | Environmental Health Engineering and Management |
| Subjects: | |
| Online Access: | http://ehemj.com/browse.php?a_id=90&sid=1&slc_lang=en |
| _version_ | 1819042220349587456 |
|---|---|
| author | Mohammad Shakerkhatibi Nahideh Mohammadi Khaled Zoroufchi Benis Alireza Behrooz Sarand Esmaeil Fatehifar Ahmad Asl Hashemi |
| author_facet | Mohammad Shakerkhatibi Nahideh Mohammadi Khaled Zoroufchi Benis Alireza Behrooz Sarand Esmaeil Fatehifar Ahmad Asl Hashemi |
| author_sort | Mohammad Shakerkhatibi |
| collection | DOAJ |
| description | Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN) technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR) model has recently been used as a forecasting tool in some environmental issues. In this research, we compared the ability of these models to forecast carbon monoxide (CO) concentrations in the urban area of Tabriz city.
Methods: The dataset of CO concentrations measured at the fixed stations operated by the East
Azerbaijan Environmental Office along with meteorological data obtained from the East Azerbaijan Meteorological Bureau from March 2007 to March 2013, were used as input for the ANN and EPR models.
Results: Based on the results, the performance of ANN is more reliable in comparison with EPR.
Using the ANN model, the correlation coefficient values at all monitoring stations were calculated above 0.85. Conversely, the R2 values for these stations were obtained <0.41 using the EPR model.
Conclusion: The EPR model could not overcome the nonlinearities of input data. However, the ANN model displayed more accurate results compared to the EPR. Hence, the ANN models are robust tools for predicting air pollutant concentrations. |
| first_indexed | 2024-12-21T09:37:25Z |
| format | Article |
| id | doaj.art-0bbbdf96108c44c1b301042bee2cc198 |
| institution | Directory Open Access Journal |
| issn | 2423-3765 2423-4311 |
| language | English |
| last_indexed | 2024-12-21T09:37:25Z |
| publishDate | 2015-09-01 |
| publisher | Kerman University of Medical Sciences |
| record_format | Article |
| series | Environmental Health Engineering and Management |
| spelling | doaj.art-0bbbdf96108c44c1b301042bee2cc1982022-12-21T19:08:34ZengKerman University of Medical SciencesEnvironmental Health Engineering and Management2423-37652423-43112015-09-0123117122Using ANN and EPR models to predict carbon monoxide concentrations in urban area of TabrizMohammad Shakerkhatibi0Nahideh Mohammadi1Khaled Zoroufchi Benis2Alireza Behrooz Sarand3Esmaeil Fatehifar4Ahmad Asl Hashemi5Assistant Professor, Department of Environmental Health Engineering, School of Health, Tabriz University of Medical Sciences, Tabriz, IranMSc Student, Student Research Committee, Tabriz University of Medical Sciences, Tabriz, IranAssistant Professor, Environmental Engineering Research Center, Faculty of Chemical Engineering, Sahand University of Technology, Tabriz, IranAssistant Professor, Department of Chemical Engineering, Urmia University of Technology, Urmia, IranProfessor, Environmental Engineering Research Center, Faculty of Chemical Engineering, Sahand University of Technology, Tabriz, IranLecturer, Department of Environmental Health Engineering, School of Health, Tabriz University of Medical Sciences, Tabriz, IranBackground: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN) technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR) model has recently been used as a forecasting tool in some environmental issues. In this research, we compared the ability of these models to forecast carbon monoxide (CO) concentrations in the urban area of Tabriz city. Methods: The dataset of CO concentrations measured at the fixed stations operated by the East Azerbaijan Environmental Office along with meteorological data obtained from the East Azerbaijan Meteorological Bureau from March 2007 to March 2013, were used as input for the ANN and EPR models. Results: Based on the results, the performance of ANN is more reliable in comparison with EPR. Using the ANN model, the correlation coefficient values at all monitoring stations were calculated above 0.85. Conversely, the R2 values for these stations were obtained <0.41 using the EPR model. Conclusion: The EPR model could not overcome the nonlinearities of input data. However, the ANN model displayed more accurate results compared to the EPR. Hence, the ANN models are robust tools for predicting air pollutant concentrations.http://ehemj.com/browse.php?a_id=90&sid=1&slc_lang=enForecastingANNEPRCarbon monoxideModeling |
| spellingShingle | Mohammad Shakerkhatibi Nahideh Mohammadi Khaled Zoroufchi Benis Alireza Behrooz Sarand Esmaeil Fatehifar Ahmad Asl Hashemi Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz Environmental Health Engineering and Management Forecasting ANN EPR Carbon monoxide Modeling |
| title | Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz |
| title_full | Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz |
| title_fullStr | Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz |
| title_full_unstemmed | Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz |
| title_short | Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz |
| title_sort | using ann and epr models to predict carbon monoxide concentrations in urban area of tabriz |
| topic | Forecasting ANN EPR Carbon monoxide Modeling |
| url | http://ehemj.com/browse.php?a_id=90&sid=1&slc_lang=en |
| work_keys_str_mv | AT mohammadshakerkhatibi usingannandeprmodelstopredictcarbonmonoxideconcentrationsinurbanareaoftabriz AT nahidehmohammadi usingannandeprmodelstopredictcarbonmonoxideconcentrationsinurbanareaoftabriz AT khaledzoroufchibenis usingannandeprmodelstopredictcarbonmonoxideconcentrationsinurbanareaoftabriz AT alirezabehroozsarand usingannandeprmodelstopredictcarbonmonoxideconcentrationsinurbanareaoftabriz AT esmaeilfatehifar usingannandeprmodelstopredictcarbonmonoxideconcentrationsinurbanareaoftabriz AT ahmadaslhashemi usingannandeprmodelstopredictcarbonmonoxideconcentrationsinurbanareaoftabriz |