Multivariate Regression Analysis for Ground-Level Ozone Modeling in Kurupelit, Samsun, Turkey

被引:3
作者
Akdemir, Andac [1 ]
Ozel, Ummukulsum
Ergun, Osman Nuri
机构
[1] Ondokuz Mayis Univ, Dept Environm Engn, TR-55139 Samsun, Turkey
来源
EKOLOJI | 2013年 / 22卷 / 86期
关键词
Ambient air; meteorology; tropospheric ozone; TROPOSPHERIC OZONE; METEOROLOGICAL VARIABLES; AIR-POLLUTANTS; NEURAL-NETWORK; SURFACE OZONE; PREDICTION;
D O I
10.5053/ekoloji.2013.8610
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:84 / 89
页数:6
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