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. 2022;15(6):951-965.
doi: 10.1007/s11869-022-01200-4. Epub 2022 Apr 19.

A holistic approach to the air quality of Konya City, Turkey

Affiliations

A holistic approach to the air quality of Konya City, Turkey

Mete Tayanç et al. Air Qual Atmos Health. 2022.

Abstract

Considering an integrated approach to assess all of the measured pollutants in a diurnal, monthly, seasonal, and annual time scales and understanding the mechanisms hidden under low air quality conditions are essential for tackling potential air pollution issues. Konya, located in central Anatolia, is the largest province of Turkey with a surface area of 40,838 km2 and has different industrial activities. The lack of recent detailed studies limits our information on the underlying air pollution levels in Konya and obscuring policymakers to develop applicable mitigation measures. In this study, we used hourly monitored air quality data of CO, NO2, NOx, PM10, PM2.5, and SO2 from five stations in Konya and investigated the temporal and spatial variabilities for the 2008-2018 period via statistical analysis. Upon analysis, particulate matter was found to be the dominant pollutant deteriorating the air quality of Konya. The highest 2008-2018 periodic mean value of PM10 was found in Karatay Belediye as 70.5 µg/m3, followed by 67.4 µg/m3 in Meram, 58.7 µg/m3 in Selçuklu, and 43.7 µg/m3 in Selçuklu Belediye. The 24-h limit value of PM10 given as 50 µg/m3 in the legislation was violated in all of the stations, mainly during winter and autumn. High positive correlations were found among the stations, and the highest correlation was obtained between Selçuklu Belediye and Karatay Belediye with a Pearson correlation coefficient of 0.77. Long-term data showed a decreasing trend in PM10 concentrations. Diurnal variability is found to be more pronounced than weekly variability. For almost all of the pollutants, except for photochemical pollutants like O3, a prominent result was the nighttime and morning rush hours high-pollutant levels. A case study done for the January 29, 2018 to February 05, 2018 episode showed the importance of meteorology and topography on the high levels of pollution. Limitation of the pollutant transport and dilution by meteorological conditions and the location of Konya on a plain surrounded by high hills are believed to be the main reasons for having low air quality in the region.

Keywords: Air pollution meteorology; Emission sources; Integrated air quality assessment; Konya City.

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Conflict of interest statement

Competing interestsThe authors declare no competing interests.

Figures

Fig. 1
Fig. 1
a Location of Konya in Turkey. b Konya geographical location and topography. c Settlement map with air quality monitoring stations (AQMS). d Population variability in the 1927–2012 period.
Fig. 2
Fig. 2
Hourly PM10 statistics in Konya
Fig. 3
Fig. 3
PM10 variabilities during the seasons. Daily variability in a week (top) and hourly variability in a day (bottom)
Fig. 4
Fig. 4
Hourly PM10 pairs plots
Fig. 5
Fig. 5
Trends of PM10 during the measurement period
Fig. 6
Fig. 6
Hourly NOx statistics in Konya
Fig. 7
Fig. 7
Hourly NOx variability during daytime and daily NOx variability during the week belonging to each season
Fig. 8
Fig. 8
Trends of NOx during the measurement period
Fig. 9
Fig. 9
Hourly O3 statistics in Konya
Fig. 10
Fig. 10
O3 variabilities during the seasons. Daily variability in a week (top) and hourly variability in a day (bottom)
Fig. 11
Fig. 11
Trends of O3 during the measurement period
Fig. 12
Fig. 12
a PM10 variability during January 29, 2018–February 05, 2018 episode. b Surface SLP and geopotential height at 500 mb level, credit: wetterzentrale.de. c Daily average temperature and wind speed. d Skew-T diagram obtained from radiosonde at Ankara, credit: University of Wyoming.
Fig. 13
Fig. 13
24-h HYSPLIT backward trajectories ending at 00:00 UTC Jan 30, 2018 for three heights: 10, 50, 80 m. a Trajectories on coordinate gridlines. b Trajectories shown on Konya and c Trajectories shown on Turkey.

References

    1. Agacayak T, Kindap T, Unal A, Pozzoli L, Mallet M, Solmon F. A case study for Saharan dust transport over Turkey via RegCM4. 1 model. Atmos Res. 2015;153:392–403. doi: 10.1016/j.atmosres.2014.09.012. - DOI
    1. De Nevers N (2017) Air Pollution Control Engineering, 3rd Ed., McGraw Hill
    1. Dursun S (2019) Ambient particle matter pollution of Bosnia District of Konya City, Turkey. Int J Ecosyst Ecol Sci-IJEES, Volume: ‏ , Issue: ‏4. pp 591–602
    1. Elbir T, Mangir N, Kara M, Simsir S, Eren T, Ozdemir S. Development of a GIS-based decision support system for urban air quality management in the City of Istanbul. Atmos Environ. 2010;44:441–454. doi: 10.1016/j.atmosenv.2009.11.008. - DOI
    1. Flores RM, Özdemir H, Akkoyunlu BO, Ünal A, Tayanç M. Seasonal variation of carbonaceous PM2.5 in an Istanbul traffic site. Atmos Pollut Res. 2020;11(12):2110–2118. doi: 10.1016/j.apr.2020.06.022. - DOI

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