Multivariate Regression Analysis for Ground-Level Ozone Modeling in Kurupelit, Samsun, Turkey
EKOLOJI, cilt.22, sa.86, ss.84-89, 2013 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 22 Sayı: 86
- Basım Tarihi: 2013
- Doi Numarası: 10.5053/ekoloji.2013.8610
- Dergi Adı: EKOLOJI
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.84-89
- Anahtar Kelimeler: Ambient air, meteorology, tropospheric ozone, TROPOSPHERIC OZONE, METEOROLOGICAL VARIABLES, AIR-POLLUTANTS, NEURAL-NETWORK, SURFACE OZONE, PREDICTION
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
In this study, the multivariate linear regression was described by the hourly frequency distributions of continuous measurements using meteorological variables and ozone levels. The ambient O-3 concentration of was monitored continuously in the town of Kurupelit, Samsun, Turkey for one year (2005-2006). The meteorological variables were temperature, relative humidity, wind speed, solar radiation, and ambient pressure. A negative association was observed between O-3 and temperature a weak relationship (r(2)=0,289), and between O-3 and solar radiation a weak relationship (r(2)=0,102). The data from the continuous monitoring of O-3 shows a negative correlation with relative humidity and atmospheric pressure. Keywords: Ambient air, meteorology, tropospheric ozone.