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Havalimanlarında Hava Kalite Parametrelerinin Sentinel-5P Uydu Verileri ile İncelenmesi: İstanbul ve Rize-Artvin Havalimanı Örneği

Examination of Air Quality Parameters in Airports with Sentinel-5P Satellite Data: A Case Study for Istanbul and Rize-Artvin Airports

Nur Yağmur(GEBZE TEKNİK ÜNİVERSİTESİ)0000-0002-5915-6929
Sayfa
585–603
Yayın Tarihi
2025-06-10
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Gerçekleştirilen istatistiksel analizler doğrultusunda uçak trafiği verileri ile CO ve NO2 parametreleri arasında pozitif korelasyonların (havalimanları özelinde sırasıyla CO parametresi ile 0.48 ve 0.41, NO2 parametresi ile 0.66 ve 0.73) yanı sıra istatistiksel olarak anlamlı sonuçlar elde edilmiştir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Havalimanları toplumun ulaşım ihtiyacının önemli bir kısmını karşılamaktadır.
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Temel Bulgular & Veri:Ancak, kentleşmenin artışı ile yeni havalimanlarının inşaatı için elverişli alanlar azalmış, şehre uzak noktalarda rehabilite edilmiş alanlara veya denize dolgu alanlara inşa edilmeye başlanmıştır.
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Sonuç & Katkı:Gerçekleştirilen istatistiksel analizler doğrultusunda uçak trafiği verileri ile CO ve NO2 parametreleri arasında pozitif korelasyonların (havalimanları özelinde sırasıyla CO parametresi ile 0.48 ve 0.41, NO2 parametresi ile 0.66 ve 0.73) yanı sıra istatistiksel olarak anlamlı sonuçlar elde edilmiştir.
🔬Tür:Araştırma Makalesi
📍Kapsam:2018 Verileri
⚙️Değişkenler:Havalimanı · Sentinel-5P · Hava kalitesi

Özet

Havalimanları toplumun ulaşım ihtiyacının önemli bir kısmını karşılamaktadır. Ancak, kentleşmenin artışı ile yeni havalimanlarının inşaatı için elverişli alanlar azalmış, şehre uzak noktalarda rehabilite edilmiş alanlara veya denize dolgu alanlara inşa edilmeye başlanmıştır. Ancak doğal ekosistemin tahrip edilmesiyle inşa edilen bu yapıların, çevreye verebileceği olası zararların izlenmesi gerekmektedir. Bu bağlamda izlenmesi gereken çevresel etkilerden biri, yeni inşa edilen bu havalimanlarının etkilediği hava kalitesidir. Uzaktan algılama kaynakları, yer istasyonları gibi nokta bazlı bir veri kaynağı olmamakla birlikte belirli periyotlarda veri sağlayarak mekânsal ve zamansal analizlere olanak sağlamaktadır. Çalışma kapsamında, ülkemizde en son faaliyete açılan İstanbul Havalimanı ve Rize-Artvin Havalimanı üzerinde hava kalite parametrelerinde meydana gelen değişimler uydu kaynaklarından elde edilen aylık zaman serileri ile incelenmiştir. Sentinel-5P uydusu ile ultraviyole aerosol indeks (UV), karbon monoksit (CO), azot dioksit (NO2), ozon (O3) ve kükürt dioksit (SO2) hava kalite parametrelerinin 2018-Mayıs 2024 periyodu için zaman serileri Google Earth Engine bulut platformu kullanılarak elde edilmiştir. Parametre bazında incelenen zaman serisi analizlerinde, UV, SO2, NO2 ve O3 parametrelerinde artan bir eğilim tespit edilirken, CO parametresinde stabil bir eğilim görülmüştür. Gerçekleştirilen istatistiksel analizler doğrultusunda uçak trafiği verileri ile CO ve NO2 parametreleri arasında pozitif korelasyonların (havalimanları özelinde sırasıyla CO parametresi ile 0.48 ve 0.41, NO2 parametresi ile 0.66 ve 0.73) yanı sıra istatistiksel olarak anlamlı sonuçlar elde edilmiştir.

Abstract

Airports meet a significant part of the transportation needs of society. However, with the increase in urbanization, the areas suitable for the construction of new airports have decreased, and they have started to be built on rehabilitated areas or on sea-filled areas. However, it is necessary to monitor the possible damage of these structures, which are built by destroying the natural ecosystem. In this context, one of the environmental impacts to be monitored is air quality. Remote sensing enables spatio-temporal analysis since they are not point-based data sources and provide data at specific periods. In the study, changes in air quality parameters at two new airports (Istanbul Airport and Rize-Artvin Airport) were examined with time series analysis. Time series of five air quality parameters (ultraviolet aerosol index (UV), carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3) and sulfur dioxide (SO2)) for the period 2018-May 2024 were obtained using the Google Earth Engine cloud platform with the Sentinel-5P satellite. In the time series analyzes examined on a parameter basis, an increasing trend was detected in UV, SO2, NO2, and O3 parameters, while a stable trend was observed in CO parameter. In line with the statistical analyses performed, positive correlations between aircraft traffic data and CO and NO2 parameters (0.48 and 0.41 with CO parameter, 0.66 and 0.73 with NO2 parameter, respectively, for airports), as well as statistically significant results were obtained.

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Bu Makaleye Atıf Yap

Yağmur, N. (2025). Havalimanlarında Hava Kalite Parametrelerinin Sentinel-5P Uydu Verileri ile İncelenmesi: İstanbul ve Rize-Artvin Havalimanı Örneği. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 25 Sayı: 3, 585–603. https://doi.org/10.35414/akufemubid.1545691

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Kaynakça (82)

  1. Abida, R., El Amraoui, L., Ricaud, P., Lahoz, W., Eskes, H., Segers, A.,. and Veihelmann, B., 2016. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts. Atmospheric Chemistry and Physics, 2016(2), 1-1.
  2. Adhikari, A., and Yin, J., 2020. Short-term effects of ambient ozone, PM2. 5, and meteorological factors on COVID-19 confirmed cases and deaths in Queens, New York. International Journal of Environmental Research and Public Health, 17(11), 4047. https://doi.org/10.3390/ijerph17114047
  3. Asadifard, E., and Masoudi, M., 2018. Status and prediction of carbon monoxide as an air pollutant in Ahvaz City, Iran. Caspian Journal of Environmental Sciences, 16(3), 203-213. https://doi.org/10.22124/cjes.2018.3061
  4. Ayoobi, A. W., Ahmadi, H., Inceoglu, M., and Pekkan, E., 2022. Seasonal impacts of buildings’ energy consumption on the variation and spatial distribution of air pollutant over Kabul City: application of Sentinel—5P TROPOMI products. Air Quality, Atmosphere & Health, 15(1), 73-83. https://doi.org/10.1038/s41598-023-34774-9
  5. Beirle, S., Borger, C., Dörner, S., Li, A., Hu, Z., Liu, F.,. and Wagner, T., 2019. Pinpointing nitrogen oxide emissions from space. Science Advances, 5(11), eaax9800. https://doi.org/10.1126/sciadv.aax9800
  6. Birinci, E., Denizoğlu, M., Özdemir, H., Özdemir, E. T., and Deniz, A., 2023. Ambient air quality assessment at the airports based on a meteorological perspective. Environmental Monitoring and Assessment, 195(12), 1542. https://doi.org/10.1007/s10661-023-12135-3
  7. Bodah, B. W., Neckel, A., Maculan, L. S., Milanes, C. B., Korcelski, C., Ramírez, O.,. and Oliveira, M. L., 2022. Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation. Journal of Cleaner Production, 357, 131960. https://doi.org/10.1016/j.jclepro.2022.131960
  8. Catane, S. G., Flora, J. R. R., Carag, J. W. M., Capino, J. B., Go, C. M., and Panganiban, A. L. L., 2024. Development in an environmentally critical coastal area: The risk perception on natural hazards and the New Manila International Airport by fishing communities in Taliptip, Philippines. Ocean & Coastal Management, 253, 107127. https://doi.org/10.1016/j.ocecoaman.2024.107127
  9. Cavalié, O., Cappa, F., and Pinel-Puysségur, B., 2023. Three decades of coastal subsidence in the slow-moving Nice Côte d'Azur Airport area (France) revealed by InSAR (interferometric synthetic-aperture radar): insights into the deformation mechanism. Natural Hazards and Earth System Sciences, 23(10), 3235-3246. https://doi.org/10.5194/nhess-23-3235-2023
  10. Cullis, C. F., and Hirschler, M. M., 1980. Atmospheric sulphur: natural and man-made sources. Atmospheric Environment (1967), 14(11), 1263-1278. https://doi.org/10.1016/0004-6981(80)90228-0
  11. Çilek, M. Ü., 2022. Troposferik Nitrojen Dioksitin (NO2) COVID-19 Pandemisinde Mekânsal ve Zamansal Analizi: Adana-Mersin Bölgesi. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 27(3), 581-594. https://doi.org/10.53433/yyufbed.1119418
  12. De Nevers, N., 2010. Air pollution control engineering. Waveland press.
  13. Dentener, F., Emberson, L., Galmarini, S., Cappelli, G., Irimescu, A., Mihailescu, D.,. and van den Berg, M., 2020. Lower air pollution during COVID-19 lock-down: improving models and methods estimating ozone impacts on crops. Philosophical Transactions of the Royal Society A, 378(2183), 20200188. https://doi.org/10.1098/rsta.2020.0188
  14. Durmaz, V., Küçükönal, H., Özen, M., ve Banar, M., 2007. Havaalanı faaliyetlerinin çevresel etkilerini azaltmaya yönelik mevzuat. Sosyal Bilimler, 5(1), 66-87.
  15. Dursun, S., Kunt, F., and Taylan, O., 2015. Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors. International Journal of Environmental Science and Technology, 12, 3915-3928. https://doi.org/10.1007/s13762-015-0821-2
  16. Ekici, S., and Şöhret, Y., 2021. A study on the environmental and economic aspects of aircraft emissions at the Antalya International Airport. Environmental Science and Pollution Research, 28, 10847-10859. https://doi.org/10.1007/s11356-020-11306-w
  17. Elbir, T., 2008. Estimation of engine emissions from commercial aircraft at a midsized Turkish airport. Journal of Environmental Engineering, 134(3), 210-215.
  18. El-Khoury, C., Alameddine, I., Zalzal, J., El-Fadel, M., and Hatzopoulou, M., 2021. Assessing the intra-urban variability of nitrogen oxides and ozone across a highly heterogeneous urban area. Environmental Monitoring and Assessment, 193, 1-22. https://doi.org/10.1007/s10661-021-09414-2
  19. Fares, S., Park, J. H., Ormeno, E., Gentner, D. R., McKay, M., Loreto, F.,. and Goldstein, A. H., 2010. Ozone uptake by citrus trees exposed to a range of ozone concentrations. Atmospheric Environment, 44(28), 3404-3412. https://doi.org/10.1016/j.atmosenv.2010.06.010
  20. Ghasempour, F., Sekertekin, A., and Kutoglu, S. H., 2021. Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing. Journal of Cleaner Production, 319, 128599. https://doi.org/10.1016/j.jclepro.2021.128599
  21. Gökçe, A., 2002. İMKB'de fiyat-hacim ilişkisi: granger nedensellik testi. Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 4(3), 43-48.
  22. Granger, C. W., 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438. https://doi.org/10.2307/1912791
  23. Gürçam, S., Konuralp, E., and Ekici, S., 2021. Determining the effect of air transportation on air pollution in the most polluted city in Turkey. Aircraft Engineering and Aerospace Technology, 93(2), 354-362. https://doi.org/10.1108/AEAT-08-2020-0176
  24. Halder, B., Ahmadianfar, I., Heddam, S., Mussa, Z. H., Goliatt, L., Tan, M. L.,. and Yaseen, Z. M., 2023. Machine learning-based country-level annual air pollutants exploration using Sentinel-5P and Google Earth Engine. Scientific Reports, 13(1), 7968. https://doi.org/10.1038/s41598-023-34774-9
  25. Hashim, B. M., Al-Naseri, S. K., Al-Maliki, A., and Al-Ansari, N., 2021. Impact of COVID-19 lockdown on NO2, O3, PM2. 5 and PM10 concentrations and assessing air quality changes in Baghdad, Iraq. Science of the Total Environment, 754, 141978. https://doi.org/10.1016/j.scitotenv.2020.141978
  26. Hou, Y., Wang, L., Zhou, Y., Wang, S., Liu, W., and Zhu, J., 2019. Analysis of the tropospheric column nitrogen dioxide over China based on satellite observations during 2008–2017. Atmospheric Pollution Research, 10(2), 651-655. https://doi.org/10.1016/j.apr.2018.11.003
  27. Jeoloji Mühendisleri Odası (JMO), 2014. Çevre Jeolojisi Açısından 3. Havaalanı. https://www.jmo.org.tr/resimler/ekler/7c4e571 39a05e51_ek.pdf
  28. Jiang, L., and Lin, H., 2010. Integrated analysis of SAR interferometric and geological data for investigating long-term reclamation settlement of Chek Lap Kok Airport, Hong Kong. Engineering Geology, 110(3-4), 77-92. https://doi.org/10.1016/j.enggeo.2009.11.005
  29. Kanniah, K. D., Kamarul Zaman, N. A. F., and Perumal, K., 2021. Analysis of NO2 tropospheric column amount at airports in Malaysia before and during COVID-19 pandemic using SENTINEL-5P tropomi data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 399-403. https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-399-2021
  30. Kesgin, U., 2006. Aircraft emissions at Turkish airports. Energy, 31(2-3), 372-384. https://doi.org/10.1016/j.energy.2005.01.012
  31. Kooreman, M. L., Stammes, P., Trees, V., Sneep, M., Tilstra, L. G., de Graaf, M.,. and Veefkind, J. P., 2020. Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI. Atmospheric Measurement Techniques Discussions, 13(12), 6407–6426. https://doi.org/10.5194/amt-13-6407-2020
  32. Kul, S., 2014. İstatistik Sonuçlarının Yorumu: P Değeri ve Güven Aralığı Nedir?/Interpretation of Statistical Results: What Is P Value and Confidence Interval?. Plevra Bülteni, 8(1), 11.
  33. Kurniawan, J. S., and Khardi, S., 2011. Comparison of methodologies estimating emissions of aircraft pollutants, environmental impact assessment around airports. Environmental Impact Assessment Review, 31(3), 240-252. https://doi.org/10.1016/j.eiar.2010.09.001
  34. Lee, D. S., Pitari, G., Grewe, V., Gierens, K., Penner, J. E., Petzold, A.,. and Sausen, R., 2010. Transport impacts on atmosphere and climate: Aviation. Atmospheric Environment, 44(37), 4678-4734. https://doi.org/10.1016/j.atmosenv.2009.06.005
  35. Liu, X., Zhao, C., Zhang, Q., Yang, C., and Zhang, J., 2019. Characterizing and monitoring ground settlement of marine reclamation land of Xiamen New Airport, China with Sentinel-1 SAR datasets. Remote Sensing, 11(5), 585. https://doi.org/10.3390/rs11050585
  36. Magro, C., Nunes, L., Gonçalves, O. C., Neng, N. R., Nogueira, J. M., Rego, F. C., and Vieira, P., 2021. Atmospheric trends of CO and CH4 from extreme wildfires in Portugal using Sentinel-5P TROPOMI level-2 data. Fire, 4(2), 25. https://doi.org/10.3390/fire4020025
  37. Makineci, B. H., Arıkan, D., Alkan, D., and Karasaka, L., 2023. Spatio-temporal Analysis of Sentinel-5P Data of Konya City Between 2019-2021. Harita Dergisi, 170, 23-40.
  38. Mao, H., and Talbot, R., 2004. Role of meteorological processes in two New England ozone episodes during summer 2001. Journal of Geophysical Research: Atmospheres, 109(D20). https://doi.org/10.1029/2004JD004850
  39. Mathew, A., Shekar, P. R., Nair, A. T., Mallick, J., Rathod, C., Bindajam, A. A.,. Abdo, H. G., 2024. Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis. Scientific Reports, 14(1), 21624. https://doi.org/10.1038/s41598-024-72276-4
  40. Mendez-Espinosa, J. F., Rojas, N. Y., Vargas, J., Pachón, J. E., Belalcazar, L. C., and Ramírez, O., 2020. Air quality variations in Northern South America during the COVID-19 lockdown. Science of the Total Environment, 749, 141621. https://doi.org/10.1016/j.scitotenv.2020.141621
  41. Morillas, C., Alvarez, S., Pires, J. C., Garcia, A. J., and Martinez, S., 2024a. Impact of the implementation of Madrid's low emission zone on NO2 concentration using Sentinel-5P/TROPOMI data. Atmospheric Environment, 320, 120326. https://doi.org/10.1016/j.atmosenv.2024.120326
  42. Morillas, C., Alvarez, S., Serio, C., Masiello, G., and Martinez, S., 2024b. TROPOMI NO2 Sentinel-5P data in the Community of Madrid: A detailed consistency analysis with in situ surface observations. Remote Sensing Applications: Society and Environment, 33, 101083. https://doi.org/10.1016/j.rsase.2023.101083
  43. Muhammad, S., Long, X., and Salman, M., 2020. COVID-19 pandemic and environmental pollution: A blessing in disguise?. Science of The Total Environment, 728, 138820. https://doi.org/10.1016/j.scitotenv.2020.138820
  44. Muniraj, K., Panneerselvam, B., Devaraj, S., Jesudhas, C. J., and Sudalaimuthu, K., 2023. Evaluating the effectiveness of emissions reduction measures and ambient air quality variability through ground-based and Sentinel-5P observations under the auspices of COVID pandemic lockdown in Tamil Nadu, India. International Journal of Environmental Analytical Chemistry, 103(13), 3109-3120. https://doi.org/10.1080/03067319.2021.1902997
  45. Penning de Vries, M. J. M., Beirle, S., and Wagner, T., 2009. UV aerosol indices from SCIAMACHY: introducing the SCattering Index (SCI). Atmospheric Chemistry and Physics, 9(24), 9555-9567. https://doi.org/10.5194/acp-9-9555-2009
  46. Pinder, R. W., Klopp, J. M., Kleiman, G., Hagler, G. S., Awe, Y., and Terry, S., 2019. Opportunities and challenges for filling the air quality data gap in low-and middle-income countries. Atmospheric Environment, 215, 116794. https://doi.org/10.1016/j.atmosenv.2019.06.032
  47. Popescu, F., Ionel, I., and Talianu, C., 2011. Evaluation of Aır Quality in Airport Areas by Numerical Simulation. Environmental Engineering & Management Journal (EEMJ), 10(1), 115-120.
  48. Rosner, B., 2010. Fundamentals of Biostatistics, 7th edition. Brooks/Cole, Boston/USA.
  49. Seker, D. Z., Kaya, S., Alkan, R. M., Tanik, A., and Saroglu, E., 2008. 3D coastal erosion analysis of Kilyos-Karaburun region using multi-temporal satellite image data. Fresenius Environmental Bulletin, 17(11b), 1977-1982.
  50. Schäfer, K., Jahn, C., Sturm, P., Lechner, B., and Bacher, M., 2003. Aircraft emission measurements by remote sensing methodologies at airports. Atmospheric Environment, 37(37), 5261-5271. https://doi.org/10.1016/j.atmosenv.2003.09.002
  51. Sharifi, A., and Felegari, S., 2022. Nitrogen dioxide (NO2) pollution monitoring with sentinel-5P satellite imagery over during the coronavirus pandemic (case study: Tehran). Remote Sensing Letters, 13(10), 1029-1039. https://doi.org/10.1080/2150704X.2022.2120780
  52. Shikwambana, L., and Kganyago, M., (2021). Assessing the responses of aviation-related SO2 and NO2 emissions to COVID-19 lockdown regulations in South Africa. Remote Sensing, 13(20), 4156. https://doi.org/10.3390/rs13204156
  53. Shojaie, A., and Fox, E. B., 2022. Granger causality: A review and recent advances. Annual Review of Statistics and Its Application, 9(1), 289-319. https://doi.org/10.1146/annurev-statistics-040120-010930
  54. Song, N. Q., Wang, N., and Lin, W. N., 2022. Assessment of the impact of artificial island airport reclamation on marine ecosystem health: A case study of the Dalian offshore airport, China. Ocean & Coastal Management, 226, 106281. https://doi.org/10.1016/j.ocecoaman.2022.106281
  55. Takım, A., 2010. Türkiye’de GSYİH ile ihracat arasındaki ilişki: granger nedensellik testi. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 14(2), 315-330.
  56. Theys, N., Romahn, F., Wagner, T., 2023. S5P Mission Performance Centre Sulphur Dioxide [L2__SO2____] Readme, pp. 1–18, S5P-MPC-BIRA-PRF-SO2, https://sentinel.esa.int/documents/247904/3541451/Sentinel-5P-Sulphur-Dioxide-Readme.pdf.
  57. Transportation Research Board (TRC), 2021. Critical Issues in Aviation and the Environment 2021. Washington, D.C. https://sites.google.com/site/trbav030/publications
  58. Turnacıgil, A., 2008. Yeniköy Ağaçlı Civarındaki Maden Ocaklarının Rehabilitasyonu, Doktora tezi, İstanbul Teknik Üniversitesi, İstanbul, 134.
  59. Unal, A., Hu, Y., Chang, M. E., Odman, M. T., and Russell, A. G., 2005. Airport related emissions and impacts on air quality: Application to the Atlanta International Airport. Atmospheric Environment, 39(32), 5787-5798. https://doi.org/10.1016/j.atmosenv.2005.05.051
  60. Vîrghileanu, M., Săvulescu, I., Mihai, B. A., Nistor, C., and Dobre, R., 2020. Nitrogen Dioxide (NO2) Pollution monitoring with Sentinel-5P satellite imagery over Europe during the coronavirus pandemic outbreak. Remote Sensing, 12(21), 3575. https://doi.org/10.3390/rs12213575
  61. Wagner, N. L., Riedel, T. P., Roberts, J. M., Thornton, J. A., Angevine, W. M., Williams, E. J.,. and Brown, S. S., 2012. The sea breeze/land breeze circulation in Los Angeles and its influence on nitryl chloride production in this region. Journal of Geophysical Research: Atmospheres, 117(D21). https://doi.org/10.1029/2012JD017810
  62. Wang, H., Lyu, X., Guo, H., Wang, Y., Zou, S., Ling, Z.,. and Shen, J., 2018. Ozone pollution around a coastal region of South China Sea: interaction between marine and continental air. Atmospheric Chemistry and Physics, 18(6), 4277-4295. https://doi.org/10.5194/acp-18-4277-2018
  63. Yağmur, N., ve Musaoğlu, N., 2022. Havalimanlarında yapısal değişimlerin PSInSAR tekniği ile belirlenmesi: İstanbul Havalimanı örneği. Harita Dergisi, 168, 28-37.
  64. Zeydan, Ö., and Şekertekin, Y. Y., 2022. GIS-based determination of Turkish domestic flights emissions. Atmospheric Pollution Research, 13(2), 101299. https://doi.org/10.1016/j.apr.2021.101299
  65. Zheng, Z., Yang, Z., Wu, Z., and Marinello, F., 2019. Spatial variation of NO2 and its impact factors in China: An application of sentinel-5P products. Remote Sensing, 11(16), 1939. https://doi.org/10.3390/rs11161939
  66. Zhuo, G., Dai, K., Huang, H., Li, S., Shi, X., Feng, Y.,. and Deng, J., 2020. Evaluating potential ground subsidence geo-hazard of Xiamen Xiang’an new airport on reclaimed land by SAR interferometry. Sustainability, 12(17), 6991. https://doi.org/10.3390/su12176991
  67. European Space Agency (ESA). 2024. https://sentiwiki.copernicus.eu/web/s5p-mission
  68. Çevre, Şehircilik ve İklim Değişikliği Bakanlığı (ÇŞİDB). 2023. Ulaştırma Türlerine Göre Taşınan Yolcu ve Yük Miktarı. https://cevreselgostergeler.csb.gov.tr/ulastirma-turlerine-gore-tasinan-yolcu-ve-yuk-miktari-i-85789
  69. Çevre, Şehircilik ve İklim Değişikliği Bakanlığı, Sürekli İzleme Merkezi (ÇŞİDB-SİM). 2024. https://sim.csb.gov.tr/Intro/ParametersMeta
  70. Google Earth Engine (GEE). 2024. https://earthengine.google.com/
  71. Abida, R., El Amraoui, L., Ricaud, P., Lahoz, W., Eskes, H., Segers, A.,. and Veihelmann, B., 2016. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts. Atmospheric Chemistry and Physics, 2016(2), 1-1.
  72. Beirle, S., Borger, C., Dörner, S., Li, A., Hu, Z., Liu, F.,. and Wagner, T., 2019. Pinpointing nitrogen oxide emissions from space. Science Advances, 5(11), eaax9800. https://doi.org/10.1126/sciadv.aax9800
  73. Bodah, B. W., Neckel, A., Maculan, L. S., Milanes, C. B., Korcelski, C., Ramírez, O.,. and Oliveira, M. L., 2022. Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation. Journal of Cleaner Production, 357, 131960. https://doi.org/10.1016/j.jclepro.2022.131960
  74. Dentener, F., Emberson, L., Galmarini, S., Cappelli, G., Irimescu, A., Mihailescu, D.,. and van den Berg, M., 2020. Lower air pollution during COVID-19 lock-down: improving models and methods estimating ozone impacts on crops. Philosophical Transactions of the Royal Society A, 378(2183), 20200188. https://doi.org/10.1098/rsta.2020.0188
  75. Fares, S., Park, J. H., Ormeno, E., Gentner, D. R., McKay, M., Loreto, F.,. and Goldstein, A. H., 2010. Ozone uptake by citrus trees exposed to a range of ozone concentrations. Atmospheric Environment, 44(28), 3404-3412. https://doi.org/10.1016/j.atmosenv.2010.06.010
  76. Halder, B., Ahmadianfar, I., Heddam, S., Mussa, Z. H., Goliatt, L., Tan, M. L.,. and Yaseen, Z. M., 2023. Machine learning-based country-level annual air pollutants exploration using Sentinel-5P and Google Earth Engine. Scientific Reports, 13(1), 7968. https://doi.org/10.1038/s41598-023-34774-9
  77. Kooreman, M. L., Stammes, P., Trees, V., Sneep, M., Tilstra, L. G., de Graaf, M.,. and Veefkind, J. P., 2020. Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI. Atmospheric Measurement Techniques Discussions, 13(12), 6407–6426. https://doi.org/10.5194/amt-13-6407-2020
  78. Lee, D. S., Pitari, G., Grewe, V., Gierens, K., Penner, J. E., Petzold, A.,. and Sausen, R., 2010. Transport impacts on atmosphere and climate: Aviation. Atmospheric Environment, 44(37), 4678-4734. https://doi.org/10.1016/j.atmosenv.2009.06.005
  79. Mathew, A., Shekar, P. R., Nair, A. T., Mallick, J., Rathod, C., Bindajam, A. A.,. Abdo, H. G., 2024. Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis. Scientific Reports, 14(1), 21624. https://doi.org/10.1038/s41598-024-72276-4
  80. Wagner, N. L., Riedel, T. P., Roberts, J. M., Thornton, J. A., Angevine, W. M., Williams, E. J.,. and Brown, S. S., 2012. The sea breeze/land breeze circulation in Los Angeles and its influence on nitryl chloride production in this region. Journal of Geophysical Research: Atmospheres, 117(D21). https://doi.org/10.1029/2012JD017810
  81. Wang, H., Lyu, X., Guo, H., Wang, Y., Zou, S., Ling, Z.,. and Shen, J., 2018. Ozone pollution around a coastal region of South China Sea: interaction between marine and continental air. Atmospheric Chemistry and Physics, 18(6), 4277-4295. https://doi.org/10.5194/acp-18-4277-2018
  82. Zhuo, G., Dai, K., Huang, H., Li, S., Shi, X., Feng, Y.,. and Deng, J., 2020. Evaluating potential ground subsidence geo-hazard of Xiamen Xiang’an new airport on reclaimed land by SAR interferometry. Sustainability, 12(17), 6991. https://doi.org/10.3390/su12176991