USING NEURAL NETWORKS IN PROCESS OF ENVIRONMENTAL RISK MANAGEMENT DUE TO AIR POLLUTION OF TRAFFIC IN GREAT TEHRAN

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ALESHEIKH ALI ASGHAR; GHARAGOZLU ALIREZA; SAJADIAN MAHYAR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: GEOGRAPHICAL JOURNAL OF CHASHMANDAZ-E-ZAGROS Year:2013 | Volume:4 | Issue:14 Page(s): 25-38

Download Full-Text

Persian Verion

View:

1,056

Download:

Cites:

Information Journal Paper

Title

USING NEURAL NETWORKS IN PROCESS OF ENVIRONMENTAL RISK MANAGEMENT DUE TO AIR POLLUTION OF TRAFFIC IN GREAT TEHRAN

Author(s)

ALESHEIKH ALI ASGHAR | GHARAGOZLU ALIREZA | SAJADIAN MAHYAR | Issue Writer Certificate

Keywords

AIR POLUTIONQ1

NEURAL NETWORKQ2

MULTILAYER PERCEPTRONQ2

TEHRANQ2

Abstract

Air of the great TEHRAN is highly polluted. Based on studies, the most important cause of air pollution is due to transportation and its traffic. So far, to resolve the problem of air pollution of TEHRAN, many solutions have been proposed and executed. However, the problem is that TEHRAN lacks environmental risk management associated with air pollution. In this direction, clean air and so preventing factors to avoid going beyond clean air are ignored. This research uses an analytical-applied strategy, hourly data of concentration of carbon mono oxide associated with 12 air pollution measurment stations including Aghdasieh, geophysics, Golbarg, zone 11, zone 16, zone 19, zone 4, Maseoudieh, Ostandari, Poonak Varz, hourly data associated with metrological in 1389 in Mehrabad station including vane, direction of wind and abilities of NEURAL NETWORKs to predict concentration of carbon mono oxide as an index of transportation in frame of environmental risk management in area of clean air. A MULTILAYER PERCEPTRON NEURAL NETWORKs with a hidden layer, 150 neurons in the hidden layer and sigmoid transfer function with prediction accuracy of the desired interval in environmental risk management in the test step is chosen as an optimal selection. It has been identified that wind speed, temperature and direction of wind have the first, the second and the third roles, respectively on concentration of carbon mono oxide in TEHRAN city.

Cites

No record.

References

No record.

Cite

APA: Copy

ALESHEIKH, ALI ASGHAR, GHARAGOZLU, ALIREZA, & SAJADIAN, MAHYAR. (2013). USING NEURAL NETWORKS IN PROCESS OF ENVIRONMENTAL RISK MANAGEMENT DUE TO AIR POLLUTION OF TRAFFIC IN GREAT TEHRAN. GEOGRAPHICAL JOURNAL OF CHASHMANDAZ-E-ZAGROS, 4(14), 25-38. SID. https://sid.ir/paper/175793/en

Vancouver: Copy

ALESHEIKH ALI ASGHAR, GHARAGOZLU ALIREZA, SAJADIAN MAHYAR. USING NEURAL NETWORKS IN PROCESS OF ENVIRONMENTAL RISK MANAGEMENT DUE TO AIR POLLUTION OF TRAFFIC IN GREAT TEHRAN. GEOGRAPHICAL JOURNAL OF CHASHMANDAZ-E-ZAGROS[Internet]. 2013;4(14):25-38. Available from: https://sid.ir/paper/175793/en

IEEE: Copy

ALI ASGHAR ALESHEIKH, ALIREZA GHARAGOZLU, and MAHYAR SAJADIAN, “USING NEURAL NETWORKS IN PROCESS OF ENVIRONMENTAL RISK MANAGEMENT DUE TO AIR POLLUTION OF TRAFFIC IN GREAT TEHRAN,” GEOGRAPHICAL JOURNAL OF CHASHMANDAZ-E-ZAGROS, vol. 4, no. 14, pp. 25–38, 2013, [Online]. Available: https://sid.ir/paper/175793/en

Related Journal Papers