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Satellite Observations of Air Quality Dynamics in Türkiye

Year 2024, Volume: 6 Issue: 2, 114 - 120
https://doi.org/10.55979/tjse.1534679

Abstract

This paper presents an analysis of air pollution in Turkey over a ten-year period. The study was carried out to determine the concentrations of specific pollutants in the atmosphere by analyzing the Sulfur dioxide (SO2), Sulfate (SO4), Organic Carbon Scattering (OCS) and Total Aerosol Angstrom parameter components obtained from MERRA-2 satellite imagery. SO2 and SO4 represent the mass densities of sulphate components in the atmosphere, while organic carbon represents atmospheric carbon scattering. The aerosol Angstrom parameter provides important information on particle size and distribution. The most moderate correlation was found between SO4 and OCS (R value 0.63). Analyzing these parameters is an important step to understand their impacts and changes on air quality in Turkey. Ten years of Land Surface Temperature (LST) data were obtained from Modis images. SO4 was highly correlated with LST (R value: 0.85) and OCS was moderately correlated with LST (R value 0.58). This study aims to analyze the air pollution profile in depth and identify seasonal/long-term trends, focusing on the analysis of long-term data. This analysis provides an important contribution to provide a scientifically based basis for air quality management and environmental policy development.

Thanks

I would like to thank the anonymous reviewers and editors for their valuable comments and suggestions regarding this article.

References

  • Aykaç Ö. H., & Öbekcan, H. (2023). Short-term estimations of PM10 concentration in the Middle Black Sea region based on grey prediction models. CLEAN Soil, Air, Water, 51(10), 2200400.
  • Bian, H., Colarco, P. R., Chin, M., Chen, G., Rodriguez, J. M., Liang, Q., Blake, D., Chu, D. A., Silva, A., Darmenov, A. S., Diskin, G., Fuelberg, H. E., Huey, G., Kondo, Y., Nielsen, J. E., Pan, X., & Wisthaler, A. (2013). Source attributions of pollution to the Western Arctic during the NASA ARCTAS field campaign. Atmospheric Chemistry and Physics, 13(9), 4707-4721.
  • Butchard, V., Randles, C. A., Silva, A. M., Darmenov, A., Colarco, P. R., Govindaraju, R., Ferrare, R., Hair, J., Beyersdoref, A. J., Ziemba, L. D., & Yu, H. (2017). The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies Journal of climate, 30(17), 6851-6872.
  • Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley, J. A., Hansen, J. E., & Hofmann, D. J. (1992). Climate forcing by anthropogenic aerosols. Science, 255(5043), 423-430. doi.org/10.1126/science.255.5043.423
  • Colarco, P., Silva, A., Chin, M., & Diehl, T. (2010). Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth. Journal of Geophysical Research: Atmospheres, 115(D14), 1-25. doi.org/10.1029/2009JD012820
  • Darmenov, A. S., & Silva, A. M. (2015). The Quick-Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4. Technical Report Series on Global Modeling and Data Assimilation, 38, 201 (NASA/TM–2015–104606).
  • Manning, M., & Solomon, S. (2007). The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In Changes in atmospheric constituents and in radiative forcing, in Climate Change 2007. (pp. 129-234)
  • Freeborn, P. H., Wooster, M. J., Roy, D. P., & Cochrane, M. A. (2014). Quantification of MODIS fire radiative power (FRP) measurement uncertainty for use in satellite-based active fire characterization and biomass burning estimation. Geophysical Research Letters, 41(6), 1988-1994.
  • Gelaro, R., McCarty, W. J., Suárez, M. J., Todling, R., Molod, A., Takacs, L., ... & Zhao, B. (2017). The modern-era retrospective analysis for research and applications, Version 2 (MERRA-2). Journal of Climate, 30(19), 5419-5454. doi.org/10.1175/JCLI-D-16-0758.1
  • Health Effects of Project Shad Chemical Agent: Sulfur Dioxide [CAS 7446-09-5]. (2004). Prepared for the National Academies by The Center for Research Information, Inc. Silver Spring, MD 2091, 2004.
  • Kaygusuz, K. (2007). Energy use and air pollution issues in Turkey. CLEAN – Soil, Air, Water, 35(6), 515-668.
  • Mannstein, H. (1987). Surface energy budget, surface temperature and thermal inertia In Remote Sensing Applications in Meteorology and Climatology. NATO ASI Series C: Mathematical and Physical Sciences, 201, 391-410.
  • Maynard, D., Coull, B. A., Gryparis, A., & Schwartz, J. (2007). Mortality risk associated with short-term exposure to traffic particles and sulfates. Environmental health perspectives, 115(5), 751-755.
  • MEF (2007). Ministry of Environment and Forestry. In First national Communica-tion of Turkey on Climate Change. (pp. 60-150)
  • Nan, S., Yang, Y., Hongyan, L., Li, H., Ming, H., & Guangke, L. (2010). SO2 inhalation contributes to the development and progression of ischemic stroke in the brain. Toxicological Sciences, 114(2), 226-236.
  • Ramaswamy, V., Boucher, O., Haigh, J., Hauglustaine, D., Haywood, J., Myhre, G., Nakajima, T., Shi, G. Y., & Solomon, S. (2001). Radiative forcing of climate change, in Climate Change 2001: The Physical Science Basis. In Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. (pp. 350-416)
  • Randles, C. A., Silva, A. M., Buchard, V., Colarco, P. R., Darmenov, A., Govindaraju, R., Smirnov, A. B., Holben, B., Ferrare, R., Hair, J., Shinozuka, Y., & Flynn, C. J. (2017). The MERRA-2 aerosol reanalysis, 1980 onward. Part I: System description and data assimilation evaluation. Journal of climate, 30(17), 6823-6850.
  • Santosa, S. J., Okuda, T., & Tanaka, S. (2008). Air pollution and urban air quality management in Indonesia. CLEAN – Soil, Air, Water, 36(5-6), 466-475.
  • Sato, M., Hansen, J., Koch, D., Lacis, A., Ruedy, R., Dubovik, O., Holben, B., Chin, M., & Novakov, T. (2003). Global atmospheric black carbon inferred from AERONET. Proceedings of the National Academy of Sciences, 100(11), 6319-6324.
  • Say, N. P. (2006). Lignite-fired thermal power plants and SO2pollution in Turkey. Energy Policy, 34(17), 2690-2701.
  • Schulz, M., Textor, C., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., ... & Takemura, T. (2006). Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations. Atmospheric chemistry and physics, 6(12), 5225-5246.
  • Sellers, P. J., Hall, F. G., Asrar, G., Strebel, D. E., & Murphy, R. E. (1998). The first ISLSCP Field Experiment (FIFE). Bulletin of the American Meteorology Society, 69, 22-27.
  • Shikwambana, L. (2019). Long-term observation of global black carbon, organic carbon and smoke using CALIPSO and MERRA-2 data. Remote Sensing Letters, 10, 373-380.
  • Sierra-Porta, D., Solano-Correa, Y. T., Tarazona-Alvarado, M. N., & de Villavicencio, L. A. (2023). Linking PM10 and PM2.5 Pollution Concentration through Tree Coverage in Urban Areas CLEAN–Soil, Air, Water, 51(5), 2200222.
  • Takemura, T., Nozawa, T., Emori, S., Nakajima, T. Y., & Nakajima, T. (2005). Simulation of climate response to aerosol direct and indirect effects with aerosol transport-radiation model. Journal of Geophysical Research, 110(D2), D02202.

Türkiye'deki Hava Kalitesi Dinamiklerinin Uydu Gözlemleri

Year 2024, Volume: 6 Issue: 2, 114 - 120
https://doi.org/10.55979/tjse.1534679

Abstract

Bu makalede, Türkiye'deki hava kirliliğinin on yıllık bir süre boyunca analizi sunulmaktadır. Çalışma, MERRA-2 uydu görüntülerinden elde edilen Kükürt dioksit (SO2), Sülfat (SO4), Organik Karbon Saçılması (OCS) ve Toplam Aerosol Angstrom parametre bileşenlerini analiz ederek atmosferdeki belirli kirleticilerin konsantrasyonlarını belirlemek için yürütülmüştür. SO2 ve SO4, atmosferdeki sülfat bileşenlerinin kütle yoğunluklarını temsil ederken, organik karbon atmosferik karbon saçılmasını temsil eder. Aerosol Angstrom parametresi, parçacık boyutu ve dağılımı hakkında önemli bilgiler sağlar. En orta düzeyde korelasyon, SO4 ve OCS arasında bulunmuştur (R değeri 0,63). Bu parametrelerin analiz edilmesi, Türkiye'deki hava kalitesi üzerindeki etkilerini ve değişimlerini anlamak için önemli bir adımdır. On yıllık Kara Yüzey Sıcaklığı (LST) verileri MODIS görüntülerinden elde edilmiştir. SO4, LST ile yüksek düzeyde korelasyona sahipken (R değeri: 0,85) OCS, LST ile orta düzeyde korelasyona sahiptir (R değeri 0,58). Bu çalışma, hava kirliliği profilini derinlemesine analiz etmeyi ve uzun vadeli verilerin analizine odaklanarak mevsimsel/uzun vadeli eğilimleri belirlemeyi amaçlamaktadır. Bu analiz, hava kalitesi yönetimi ve çevre politikası geliştirme için bilimsel temelli bir temel sağlamak adına önemli bir katkı sağlamaktadır.

Thanks

I would like to thank the anonymous reviewers and editors for their valuable comments and suggestions regarding this article.

References

  • Aykaç Ö. H., & Öbekcan, H. (2023). Short-term estimations of PM10 concentration in the Middle Black Sea region based on grey prediction models. CLEAN Soil, Air, Water, 51(10), 2200400.
  • Bian, H., Colarco, P. R., Chin, M., Chen, G., Rodriguez, J. M., Liang, Q., Blake, D., Chu, D. A., Silva, A., Darmenov, A. S., Diskin, G., Fuelberg, H. E., Huey, G., Kondo, Y., Nielsen, J. E., Pan, X., & Wisthaler, A. (2013). Source attributions of pollution to the Western Arctic during the NASA ARCTAS field campaign. Atmospheric Chemistry and Physics, 13(9), 4707-4721.
  • Butchard, V., Randles, C. A., Silva, A. M., Darmenov, A., Colarco, P. R., Govindaraju, R., Ferrare, R., Hair, J., Beyersdoref, A. J., Ziemba, L. D., & Yu, H. (2017). The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies Journal of climate, 30(17), 6851-6872.
  • Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley, J. A., Hansen, J. E., & Hofmann, D. J. (1992). Climate forcing by anthropogenic aerosols. Science, 255(5043), 423-430. doi.org/10.1126/science.255.5043.423
  • Colarco, P., Silva, A., Chin, M., & Diehl, T. (2010). Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth. Journal of Geophysical Research: Atmospheres, 115(D14), 1-25. doi.org/10.1029/2009JD012820
  • Darmenov, A. S., & Silva, A. M. (2015). The Quick-Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4. Technical Report Series on Global Modeling and Data Assimilation, 38, 201 (NASA/TM–2015–104606).
  • Manning, M., & Solomon, S. (2007). The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In Changes in atmospheric constituents and in radiative forcing, in Climate Change 2007. (pp. 129-234)
  • Freeborn, P. H., Wooster, M. J., Roy, D. P., & Cochrane, M. A. (2014). Quantification of MODIS fire radiative power (FRP) measurement uncertainty for use in satellite-based active fire characterization and biomass burning estimation. Geophysical Research Letters, 41(6), 1988-1994.
  • Gelaro, R., McCarty, W. J., Suárez, M. J., Todling, R., Molod, A., Takacs, L., ... & Zhao, B. (2017). The modern-era retrospective analysis for research and applications, Version 2 (MERRA-2). Journal of Climate, 30(19), 5419-5454. doi.org/10.1175/JCLI-D-16-0758.1
  • Health Effects of Project Shad Chemical Agent: Sulfur Dioxide [CAS 7446-09-5]. (2004). Prepared for the National Academies by The Center for Research Information, Inc. Silver Spring, MD 2091, 2004.
  • Kaygusuz, K. (2007). Energy use and air pollution issues in Turkey. CLEAN – Soil, Air, Water, 35(6), 515-668.
  • Mannstein, H. (1987). Surface energy budget, surface temperature and thermal inertia In Remote Sensing Applications in Meteorology and Climatology. NATO ASI Series C: Mathematical and Physical Sciences, 201, 391-410.
  • Maynard, D., Coull, B. A., Gryparis, A., & Schwartz, J. (2007). Mortality risk associated with short-term exposure to traffic particles and sulfates. Environmental health perspectives, 115(5), 751-755.
  • MEF (2007). Ministry of Environment and Forestry. In First national Communica-tion of Turkey on Climate Change. (pp. 60-150)
  • Nan, S., Yang, Y., Hongyan, L., Li, H., Ming, H., & Guangke, L. (2010). SO2 inhalation contributes to the development and progression of ischemic stroke in the brain. Toxicological Sciences, 114(2), 226-236.
  • Ramaswamy, V., Boucher, O., Haigh, J., Hauglustaine, D., Haywood, J., Myhre, G., Nakajima, T., Shi, G. Y., & Solomon, S. (2001). Radiative forcing of climate change, in Climate Change 2001: The Physical Science Basis. In Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. (pp. 350-416)
  • Randles, C. A., Silva, A. M., Buchard, V., Colarco, P. R., Darmenov, A., Govindaraju, R., Smirnov, A. B., Holben, B., Ferrare, R., Hair, J., Shinozuka, Y., & Flynn, C. J. (2017). The MERRA-2 aerosol reanalysis, 1980 onward. Part I: System description and data assimilation evaluation. Journal of climate, 30(17), 6823-6850.
  • Santosa, S. J., Okuda, T., & Tanaka, S. (2008). Air pollution and urban air quality management in Indonesia. CLEAN – Soil, Air, Water, 36(5-6), 466-475.
  • Sato, M., Hansen, J., Koch, D., Lacis, A., Ruedy, R., Dubovik, O., Holben, B., Chin, M., & Novakov, T. (2003). Global atmospheric black carbon inferred from AERONET. Proceedings of the National Academy of Sciences, 100(11), 6319-6324.
  • Say, N. P. (2006). Lignite-fired thermal power plants and SO2pollution in Turkey. Energy Policy, 34(17), 2690-2701.
  • Schulz, M., Textor, C., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., ... & Takemura, T. (2006). Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations. Atmospheric chemistry and physics, 6(12), 5225-5246.
  • Sellers, P. J., Hall, F. G., Asrar, G., Strebel, D. E., & Murphy, R. E. (1998). The first ISLSCP Field Experiment (FIFE). Bulletin of the American Meteorology Society, 69, 22-27.
  • Shikwambana, L. (2019). Long-term observation of global black carbon, organic carbon and smoke using CALIPSO and MERRA-2 data. Remote Sensing Letters, 10, 373-380.
  • Sierra-Porta, D., Solano-Correa, Y. T., Tarazona-Alvarado, M. N., & de Villavicencio, L. A. (2023). Linking PM10 and PM2.5 Pollution Concentration through Tree Coverage in Urban Areas CLEAN–Soil, Air, Water, 51(5), 2200222.
  • Takemura, T., Nozawa, T., Emori, S., Nakajima, T. Y., & Nakajima, T. (2005). Simulation of climate response to aerosol direct and indirect effects with aerosol transport-radiation model. Journal of Geophysical Research, 110(D2), D02202.
There are 25 citations in total.

Details

Primary Language English
Subjects Photogrammetry and Remote Sensing
Journal Section Research Articles
Authors

Nehir Uyar 0000-0003-3358-3145

Early Pub Date December 19, 2024
Publication Date
Submission Date August 16, 2024
Acceptance Date November 20, 2024
Published in Issue Year 2024 Volume: 6 Issue: 2

Cite

APA Uyar, N. (2024). Satellite Observations of Air Quality Dynamics in Türkiye. Turkish Journal of Science and Engineering, 6(2), 114-120. https://doi.org/10.55979/tjse.1534679