<p>Climate change has several impacts on our Earth. Even though wildfires are natural processes to sustain structure of an ecosystem, there is a significant increase in the global fire cases and their extent in the recent years caused by the climate change. These wildfires have important impacts on air quality, climate and relatedly public health. Copernicus Atmospheric Monitoring Service (CAMS) indicated that Siberia, North America, and the Mediterranean regions are greatly impacted by wildfires and the intensities of these fires are expressed as Fire Radiative Power (FRP). Effect of wildfires can also be observed with gas pollutant satellite retrievals of CO, NO<sub>2</sub>, and HCHO which is an important volatile organic carbon (VOC).</p><p>Turkey was challenged with wildfires that result in the destruction of forests, the death of animals and devastating impacts on local people in 2021. CAMS Global Fire Assimilation System (GFAS) indicated that the worst fire case observed in Turkey compared with other Mediterranean countries. Global Forest Watch fire counts showed that, fire counts reached up to 695 and 385 in summer (between June-August) 2021 for Antalya and Mugla provinces, respectively. However, fire counts did not exceed 165 fires in the summer season for either Antalya or Mugla in the last five years. Moreover, there was a significant increase in fires in the forested lands for Mersin province as well. Fire counts reached up to 171 per day (31<sup>st</sup> August) in Antalya province and fire smokes were observable from MODIS Corrected Reflectance images in the fire period. In addition, air pollutants caused by these fires were observable with high resolution TROPOMI retrievals.</p><p>In this study, multi-pollutant satellite retrievals were used to investigate the wildfires air quality impacts on the Southwestern Turkey. VIIRS S-NPP Fire Radiative Power product and TROPOMI CO, NO<sub>2</sub>, and HCHO, products were used to analyze impacts of these extreme wildfire cases. Products were processed spatially and temporally for two months (July-August 2021). A specific attention was given on period of 28<sup>th</sup> July-12<sup>th</sup> August. A 1×1 km<sup>2</sup> gridded domain covering the impacted region was selected to investigate the spatial distribution of these pollutants. 29<sup>th</sup> and 31<sup>st</sup> of July were the days where the impacts of wildfires were analyzed specifically. Wind speed and direction were used to understand the relation between meteorological conditions and the pollution distribution caused by the wildfires. Aerosol signals will be also investigated using MODIS aerosol optical depth (AOD) and TROPOMI aerosol index (AI) retrievals.</p>

This study focuses on the spatial distribution and temporal changes of NO2 and SO2 pollution over large point sources using high-resolution TROPOMI retrievals, and aims to find a correlation between the retrievals and electricity production. SO2 retrievals showed highest signals over power plants, whereas NO2 retrievals showed highest signals over large cities. Daily and monthly time series of NO2 and SO2 for the selected nine coal power plants were compared with electricity production for two years. Correlations between NO2, SO2, and electricity production were calculated for daily and monthly averages for every power plant. Then, the monthly averages with more than 23 days data (~75%, May-October) were used for correlation analysis. Highest correlations were observed for lignite-fired Afsin Elbistan Power Plant with highest total capacity in Turkey. The monthly correlations for May-October were found as 0.71 for NO2, 0.84 for SO2 for Afsin Elbistan Power Plant, as 0.45 for NO2 and 0.43 for SO2 for all selected power plants. Temporal changes in electricity production can be captured on monthly-basis, however, the correlations were lower on daily-basis. Point sources located close to land-sea boundaries and multiple sources located in the same region were poorly captured using satellite retrievals.

This study focuses on investigation the spatial distribution of pollutants in Çorlu Stream is the highest industrialized tributary of Ergene River which is one of the most polluted rivers in Turkey. A total of 250 conventional, metal and micropollutants were scanned at eleven sampling locations for four seasons in Çorlu Stream of Ergene River. At these locations, total of 126, 124, 99 and 107 pollutants were detected at least one sampling location in summer, fall, winter and spring, respectively. Four micropollutants which are associated with textile industry were detected in every location in all seasons. Cluster Analysis found four main clusters for sampling locations from most polluted to low polluted, and six cluster for pollutants ranging from conventional to unique pollutants. Principal Component Analysis identified six components for every season explaining more than 80% of the variation in each. PCA results indicated the impact of textile, leather, metal industries and appliance-electronics production in the Çorlu Region.

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