Evaluation of relationship between meteorological parameters and air pollutant concentrations during winter season in Elazığ, Turkey

Abstract

In recent years, due to the rapid increase in population density, building density and energy consumption, the outdoor air quality has deteriorated in the crowded urban areas of Turkey. Elaziğ city, which is located in the east Anatolia region of Turkey, is also influenced by air pollutants. In the present study, relationship between monitored air pollutant concentrations such as SO2 and the total suspended particles (TSP) data and meteorological factors such as wind speed, temperature, relative humidity, solar radiation and atmospheric pressure was investigated in months of October, November, December, January, February, and March during the period of 3 years (2003, 2004 and 2005) for Elaziğ city. According to the results of linear and non-linear regression analysis, it was found that there is a moderate and weak level of relation between the air pollutant concentrations and the meteorological factors in Elaziğ city. The correlation between the previous day's SO2, TSP concentrations and actual concentrations of these pollutants on that day was investigated and the coefficient of determination R2 was found to be 0.64 and 0.54, respectively. The statistical models of SO2 and TSP including all of meteorological parameters gave R2 of 0.20 and 0.12, respectively. Further, in order to develop this model, previous day's SO2 and TSP concentrations were added to the equations. The new model for SO2 and TSP was improved considerably with R2 = 0.74 and 0.61, respectively.

Temporal and Spatial Variations in Ambient Air Quality during 1996-2009 in Bangkok, Thailand

“…The regression models for PM 10 , CO 8hr , O 3-1hr , and NO 2 decreased moderately with decreasing WS, temperature, and RH. On the other hand, there was a weak association between SO 2 concentrations and meteorological parameters, similar to a previous finding (Akpinar et al, 2008).…”

“…The significance level of the constant and coefficients are statistically tested using the t distribution. A generally used measure of the goodness of fit of a linear model is r 2 (Akpinar et al, 2008). PM 10 , CO 8hr , O 3-1hr , NO 2 , and SO 2 concentrations were considered to be the dependent variables, while the meteorological parameters, such as temperature, RH, and WS, were considered to be the independent and continuous variables.…”

Assessing the Impact of Wind Speed and Mixing-Layer Height on Air Quality in Krakow (Poland) in the Years 2014-2015

“…These factors determine the pace of air masses movements and the potential processes of concentration and dilution of air pollutants comprised within, as a result of an air inflow from neighbouring areas, more or less polluted [1,13,15,44]. Wind is also a fundamental dispersing factor defining the spread direction of air pollutant plumes emitted from various emission sources, which leads to considerable diversity of pollution levels in the air caused by their influence.…”

Determination of air quality zones in Turkey

“…Widespread publications are available for regional (Deniz and Durmusoglu, 2008;Elbir and Muezzinoglu, 2004;Kindap et al, 2006;Kurt et al, 2008) and local (Akpinar et al, 2008;Elbir et al, 2000Elbir et al, , 2010Genc et al, 2010;Im et al, 2010;Karaca et al, 2005;Karademir, 2006;Nuhoglu et al, 2006;Okay et al, 2002;Onder and Dursun, 2006;Ozden et al, 2005;Tasdemir and Esen, 2007;Tasdemir et al, 2005;Tecer et al, 2008;Theodosi et al, 2010;Turalioglu, 2005;Yalcin, 2007) profiles.…”