Record Details

Prediction and evaluation of tropospheric ozone concentration in Istanbul using artificial neural network modeling according to time parameter

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title Prediction and evaluation of tropospheric ozone concentration in Istanbul using artificial neural network modeling according to time parameter
 
Creator Demir, Goksel
Altay, Gokmen
Sakar, C.Okan
Albayrak, Sefika
Ozdemir, Huseyin
Yalcin, Senay
 
Subject Air pollution
Istanbul
Lower tropospheric ozone
Multilayer perceptron
Time series prediction
 
Description 674-679
In this paper, lower tropospheric ozone concentration was modeled using artificial neural networks (ANNs) according to 1
day, 3 days and 7 days time periods to determine best prediction period. In model formation, data that was taken from ozone
measuring stations and Government Meteorology Works Office was daily averages of last 6 months of 2003 and first 6 months
of 2004. Air pollutant parameters (6) and meteorological parameters (8) were used in ANN architecture for Anatolian and
European sides of Istanbul separately. Correlation factor was determined to examine model effectiveness for each time period.
Weekly average prediction model has been observed with highest correlation factor and three day’s correlation factor was
higher than daily’s.
 
Date 2008-08-21T11:55:29Z
2008-08-21T11:55:29Z
2008-09
 
Type Article
 
Identifier 0022-4456
http://hdl.handle.net/123456789/1865
 
Language en_US
 
Publisher CSIR
 
Source JSIR Vol.67(9) [September 2008]