PREDICTION OF GAS POLLUTANT'S CONCENTRATION BY MEANS OF ARTIFICIAL NEURAL NETWORK IN TEHRAN URBAN AIR

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BODAGHPOUR SIAMAK; CHARKHESTANI AMIR

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Paper Information

Journal: JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY Year:2011 | Volume:13 | Issue:1 (48) Page(s): 1-10

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Title

PREDICTION OF GAS POLLUTANT'S CONCENTRATION BY MEANS OF ARTIFICIAL NEURAL NETWORK IN TEHRAN URBAN AIR

Author(s)

BODAGHPOUR SIAMAK | CHARKHESTANI AMIR | Issue Writer Certificate

Keywords

AIR POLLUTIONQ2

NITROGEN OXIDESQ3

CARBONIC OXIDESQ2

NUERAL NETWORKQ2

TIME SERIESQ3

Abstract

In this study we applied artificial neural network (ANN) to predict the concentration of air pollutant in Tehran urban air. Because of dangers of AIR POLLUTION in Tehran city witch causes environmental problems and various respiratory and dermatological diseases and troubles especially in children and aged people. This research was set in order to schedule and control this problem in Tehran and other great cities. Statistical data for this purpose were picked up from the concentration of pollutant gases recorded by fixed sensors in Bazar station from 2002 till 2007 (NOX gas). Auto regressive model and TIME SERIES were used to determine neural network inputs. Current time gas concentration in this model depends on gas concentration of all 7 past days. Therefore, neural network input was concentration of the gas in all 7 past days and neural network output which was the prediction of neural network and the concentration of the gas in current time. Then the model of ANN is deigned by using of MATLAB 7 software and data simulating. Eventually, simulated data has plotted versus real data and it depicted that there is a good result compared with simulated data from ANN. The latter shows less error compare with regression model.

Cites

Modeling and Forecasting Air Pollution of Tehran Application of Autoregressive Model with Long Memory Properties

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APA: Copy

BODAGHPOUR, SIAMAK, & CHARKHESTANI, AMIR. (2011). PREDICTION OF GAS POLLUTANT'S CONCENTRATION BY MEANS OF ARTIFICIAL NEURAL NETWORK IN TEHRAN URBAN AIR. JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 13(1 (48)), 1-10. SID. https://sid.ir/paper/87639/en

Vancouver: Copy

BODAGHPOUR SIAMAK, CHARKHESTANI AMIR. PREDICTION OF GAS POLLUTANT'S CONCENTRATION BY MEANS OF ARTIFICIAL NEURAL NETWORK IN TEHRAN URBAN AIR. JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2011;13(1 (48)):1-10. Available from: https://sid.ir/paper/87639/en

IEEE: Copy

SIAMAK BODAGHPOUR, and AMIR CHARKHESTANI, “PREDICTION OF GAS POLLUTANT'S CONCENTRATION BY MEANS OF ARTIFICIAL NEURAL NETWORK IN TEHRAN URBAN AIR,” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 13, no. 1 (48), pp. 1–10, 2011, [Online]. Available: https://sid.ir/paper/87639/en

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