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Temporal and spatial variation of PM10 and SO₂ pollutants and health risk assessment of PM10 exposure in Konya province

Year 2025, Volume: 14 Issue: 4, 1328 - 1338, 15.10.2025

Abstract

This study analyzed the temporal and spatial changes of PM10 and SO2 pollutants in Konya province between 2019 and 2021 and also quantitatively evaluated the health effects resulting from PM10 exposure using the World Health Organization's AirQ+ model. Annual mean concentrations of PM10 varied between 45.7 and 54.6 µg m-3, significantly exceeding the annual limit value (15 µg m-3) recommended by WHO in all years. SO2 levels notably increased, particularly in 2021. Spatial analysis results indicated that both pollutants were concentrated in urban centers and areas with low air circulation. Based on AirQ+ analyses, the number of seasonally attributable deaths due to PM10 exposure was estimated to be between 788 and 2,861 people; the highest value was recorded in the autumn of 2021, when the average PM10 concentration reached 55.4 µg m-3. The findings highlighted that PM10 pollution exhibited significant variations at both seasonal and regional levels, and this change had a direct impact on health outcomes.

References

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  • İ. Balcılar, Eskişehir’de hava kirliliği: PM10, PM2.5 ve SO2 konsantrasyonlarının mekânsal-zamansal değişimi ve kaynaklarının değerlendirilmesi. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 13, 4, 1115-1126, 2024. https://doi.org/10.28948/ngu muh.1459990.
  • P. Fu, W. Jiang, X. Tan, Y. Shu and L. Yang, Short-term attributable risk and economic burden of hospital admissions for anxiety disorders due to air pollution: a multicity time-stratified case-crossover study. Environmental Health, 24, 1, 4, 2025. https://doi.org /10.1186/s12940-025-01157-8.
  • J. L. Pereira, M. J. dos Anjos, J. T. Assis, R. G. Leitão, C. Canellas, F. T. Tsuyama and H. SG Filho, Assessment of suspended particulate matter in school environments in the city of Rio de Janeiro (Brazil) using X-ray fluorescence. Radiation Physics and Chemistry, 235, 112804, 2025. https://doi.org/10.10 16/j.radphyschem.2025.112804.
  • R. D. Brook, S. Rajagopalan, C. A. Pope, J. R. Brook, A. Bhatnagar, A. V. Diez-Roux and F. Holguin, Particulate matter air pollution and cardiovascular disease. Circulation, 121, 21, 2331–2378, 2010. https:// doi.org/10.1161/CIR.0b013e3181dbece1.
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  • K. Katsouyanni, G. Touloumi, C. Spix, J. Schwartz, F. Balducci, S. Medina and G. Rossi, Confounding and effect modification in the short-term effects of ambient particles on total mortality: Results from 29 European cities within the APHEA2 project. Epidemiology, 12, 5, 521–531, 2001. https://doi.org/10.1097/00001648-200109000-00011.
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  • W. Huang, J. Cao, Y. Tao, L. Dai, S. E. Lu, B. Hou and T. Zhu, Particulate air pollution and daily mortality in 17 Chinese cities. Epidemiology, 23, 4, 511–518, 2012. https://doi.org/10.1097/EDE.0b013e31824a0b3c.
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  • J. Wang and S. Ogawa, Effects of meteorological conditions on PM2.5 concentrations in Nagasaki, Japan. International Journal of Environmental Research and Public Health, 12, 8, 9089–9101, 2015. https://doi.org/ 10.3390/ijerph120809089.
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  • G. Hoek, R. M. Krishnan, R. Beelen, A. Peters, B. Ostro, B. Brunekreef and J. D. Kaufman, Long-term air pollution exposure and cardio-respiratory mortality: a review. Environmental Health, 12, 1, 43, 2013. https:// doi.org/10.1186/1476-069x-12-43.
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  • R. Dimitrova and M. Velizarova, Assessment of the contribution of different particulate matter sources on pollution in Sofia City. Atmosphere, 12, 4, 423, 2021. https://doi.org/10.3390/atmos12040423.
  • T. Sarica, K. Sartelet, Y. Roustan, Y. Kim, L. Lugon, B. Marques, B. D'Anna, C. Chaillou and C. Larrieu, Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions. Environmental Pollution, 332, 121955, 2023. https://doi.org/10.1016/j .envpol.2023.121955.
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  • S. Amritha, V. Patel and J. Kuttippurath, The COVID-19 lockdown induced changes of SO2 pollution in its Human-made global hotspots. Global Transitions, 6, 152-163, 2024. https://doi.org/10.1016/j.glt.2024.06.0 03.
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  • Z. Koşan, D. Kavuncuoğlu, E. O. Çalıkoğlu and E. B. Yerli, Evaluation of air pollution by PM10 and SO2 levels in Erzurum province, Turkey: Descriptive study. Journal of Surgery and Medicine, 2, 3, 265-268, 2018. https://doi.org/10.28982/josam.422921.
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  • R. Dubey, A. K. Patra and Nazneen, Vertical profile of particulate matter: A review of techniques and methods. Air Quality, Atmosphere & Health, 15, 6, 979-1010, 2022. https://doi.org/10.1007/s11869-022-0 1192-1.
  • Y. F. Elshorbany, H. C. Kapper, J. R. Ziemke and S. A. Parr, The status of air quality in the United States during the COVID-19 pandemic: a remote sensing perspective. Remote Sensing, 13, 3, 369, 2021. https:// doi.org/10.3390/rs13030369.
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Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi

Year 2025, Volume: 14 Issue: 4, 1328 - 1338, 15.10.2025

Abstract

Bu çalışma, 2019–2021 yılları arasında Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimini analiz etmiş; ayrıca PM10 maruziyetine bağlı sağlık etkilerini Dünya Sağlık Örgütü’nün AirQ+ modeli aracılığıyla nicel olarak değerlendirmiştir. PM10’un yıllık ortalama konsantrasyonu 45.7 ile 54.6 µg m-3 arasında değişmiş olup, tüm yıllarda WHO’nun önerdiği yıllık sınır değerin (15 µg m-3) oldukça üzerinde seyretmiştir. SO₂ düzeyleri ise özellikle 2021 yılında artış göstermiştir. Mekânsal analiz sonuçları, her iki kirleticinin de kentsel merkezlerde ve düşük hava sirkülasyonuna sahip bölgelerde yoğunlaştığını ortaya koymuştur. AirQ+ analizleri doğrultusunda, PM10 maruziyetine bağlı mevsimsel atfedilebilen ölüm sayısı 788 ile 2,861 kişi arasında hesaplanmış; en yüksek değer 2021 sonbaharında, ortalama PM10 konsantrasyonunun 55.4 µg m-3 olduğu dönemde gözlenmiştir. Bulgular, PM10 kirliliğinin mevsimsel ve bölgesel düzeyde belirgin farklılıklar gösterdiğini ve bu değişimin sağlık etkileri üzerinde doğrudan etkili olduğunu ortaya koymuştur.

References

  • F. Chen, W. Zhang, M. F. B. Mfarrej, M. H. Saleem, K. A. Khan, J. Ma, A. Raposo and H. Han, Breathing in danger: Understanding the multifaceted impact of air pollution on health impacts. Ecotoxicology and Environmental Safety, 280, 116532, 2024. https://doi. org/10.1016/j.ecoenv.2024.116532.
  • W. H. Organization, Ambient air pollution: Health impacts. 2021.
  • C. A. Pope and D. W. Dockery, Health effects of fine particulate air pollution: lines that connect. Journal of the Air & Waste Management Association, 56, 6, 709-742, 2006. https://doi.org/10.1080/10473289.2006.10 464485.
  • İ. Balcılar, Eskişehir’de hava kirliliği: PM10, PM2.5 ve SO2 konsantrasyonlarının mekânsal-zamansal değişimi ve kaynaklarının değerlendirilmesi. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 13, 4, 1115-1126, 2024. https://doi.org/10.28948/ngu muh.1459990.
  • P. Fu, W. Jiang, X. Tan, Y. Shu and L. Yang, Short-term attributable risk and economic burden of hospital admissions for anxiety disorders due to air pollution: a multicity time-stratified case-crossover study. Environmental Health, 24, 1, 4, 2025. https://doi.org /10.1186/s12940-025-01157-8.
  • J. L. Pereira, M. J. dos Anjos, J. T. Assis, R. G. Leitão, C. Canellas, F. T. Tsuyama and H. SG Filho, Assessment of suspended particulate matter in school environments in the city of Rio de Janeiro (Brazil) using X-ray fluorescence. Radiation Physics and Chemistry, 235, 112804, 2025. https://doi.org/10.10 16/j.radphyschem.2025.112804.
  • R. D. Brook, S. Rajagopalan, C. A. Pope, J. R. Brook, A. Bhatnagar, A. V. Diez-Roux and F. Holguin, Particulate matter air pollution and cardiovascular disease. Circulation, 121, 21, 2331–2378, 2010. https:// doi.org/10.1161/CIR.0b013e3181dbece1.
  • S. C. Izah, M. C. Ogwu, N. G. Etim, A. Shahsavani and Z. Namvar, Short-term health effects of air pollution. in Air Pollutants in the Context of One Health: Fundamentals, Sources, and Impacts: Springer, pp. 249-278, 2024.
  • K. Katsouyanni, G. Touloumi, C. Spix, J. Schwartz, F. Balducci, S. Medina and G. Rossi, Confounding and effect modification in the short-term effects of ambient particles on total mortality: Results from 29 European cities within the APHEA2 project. Epidemiology, 12, 5, 521–531, 2001. https://doi.org/10.1097/00001648-200109000-00011.
  • S. Maji, A. K. Dikshit and A. Deshpande, Assessment of air quality and its effects on health of residents of Delhi, India. Environmental Monitoring and Assessment, 189, 6, 295, 2017. https://doi.org/10.1007 /s10661-017-5993-7.
  • W. Huang, J. Cao, Y. Tao, L. Dai, S. E. Lu, B. Hou and T. Zhu, Particulate air pollution and daily mortality in 17 Chinese cities. Epidemiology, 23, 4, 511–518, 2012. https://doi.org/10.1097/EDE.0b013e31824a0b3c.
  • Z. Khorrami, M. Pourkhosravani, A. Karamoozian, A. Jafari-Khounigh, M. E. Akbari, M. Rezapour, R. Khorrami, S. M. Taghavi-Shahri, H. Amini and K. Etemad, Ambient air pollutants and breast cancer stage in Tehran, Iran. Scientific reports, 14, 1, 3873, 2024. https://doi.org/10.1038/s41598-024-53038-8.
  • Y. Uğurlu and M. Kara, Spatiotemporal analysis of air quality and influencing factors in urban centers of Turkey. Environmental Science and Pollution Research, 28, 24367–24380, 2021. https://doi.org/10.1 007/s11356-020-12009-0.
  • M. Bahauddin, H. Baltaci and B. Onat, The role of large-scale atmospheric circulations on long-term variations of PM10 concentrations over Turkey. Environmental Science and Pollution Research, 31, 1, 1260-1275, 2024. https://doi.org/10.1007/s11356-023-31164-6.
  • G. Tuna Tuygun and T. Elbir, Long-term spatiotemporal variation in atmospheric aerosol properties over Türkiye based on MERRA-2 reanalysis data: aerosol classification based on city type. Environmental Science and Pollution Research, 31, 28, 40655-40668, 2024. https://doi.org/10.1007/s11356-02 3-27920-3.
  • P. Kumar, M. Ketzel, S. Vardoulakis, L. Pirjola and R. Britter, Dynamics and dispersion of nanoparticles from road traffic in urban environments-A review. Journal of Aerosol Science, 42, 9, 580–603, 2015. https://doi.org /10.1016/j.jaerosci.2011.06.001.
  • D. J. Stekhoven and P. Bühlmann, MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics, 28, 1, 112-118, 2012. https://doi. org/10.1093/bioinformatics/btr597.
  • J. Wang and S. Ogawa, Effects of meteorological conditions on PM2.5 concentrations in Nagasaki, Japan. International Journal of Environmental Research and Public Health, 12, 8, 9089–9101, 2015. https://doi.org/ 10.3390/ijerph120809089.
  • A. Field, Discovering Statistics using IBM SPSS Statistics (4th ed.). Sage Publications, 2013.
  • G. Y. Lu and D. W. Wong, An adaptive inverse-distance weighting spatial interpolation technique. Computers & Geosciences, 34, 9, 1044–1055, 2008. https://doi.org/10.1016/j.cageo.2007.07.010.
  • M. Mohammadi, M. Mohammadi and S. M. M. Moezzi, Air pollution meteorology and dispersion. in Air Pollution, Air Quality, and Climate Change: Elsevier, pp. 51-82, 2025.
  • P. A. Burrough, R. A. McDonnell and C. D. Lloyd, Principles of geographical information systems. Oxford University Press, 2015.
  • W. H. Organization, AirQ+: Software tool for health risk assessment of air pollution, WHO Regional Office for Europe2016.
  • G. Hoek, R. M. Krishnan, R. Beelen, A. Peters, B. Ostro, B. Brunekreef and J. D. Kaufman, Long-term air pollution exposure and cardio-respiratory mortality: a review. Environmental Health, 12, 1, 43, 2013. https:// doi.org/10.1186/1476-069x-12-43.
  • W. H. Organization, WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization, 2021.
  • TUİK Kurumsal. https://data.tuik.gov.tr/Kategori/Get Kategori?p=Nufus-ve-Demografi-109, Erişim Tarihi 02.01.2025
  • R. Dimitrova and M. Velizarova, Assessment of the contribution of different particulate matter sources on pollution in Sofia City. Atmosphere, 12, 4, 423, 2021. https://doi.org/10.3390/atmos12040423.
  • T. Sarica, K. Sartelet, Y. Roustan, Y. Kim, L. Lugon, B. Marques, B. D'Anna, C. Chaillou and C. Larrieu, Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions. Environmental Pollution, 332, 121955, 2023. https://doi.org/10.1016/j .envpol.2023.121955.
  • F. Kunt, Z. C. Ayturan, F. Yümün, İ. Karagönen, M. Semerci and M. Akgün, Measurement and evaluation of particulate matter and atmospheric heavy metal pollution in Konya Province, Turkey. Environmental Monitoring and Assessment, 193, 1-22, 2021. https:// doi.org/10.1007/s10661-021-09428-w.
  • S. Amritha, V. Patel and J. Kuttippurath, The COVID-19 lockdown induced changes of SO2 pollution in its Human-made global hotspots. Global Transitions, 6, 152-163, 2024. https://doi.org/10.1016/j.glt.2024.06.0 03.
  • A. P. Pribadi, A. U. Rauf, Y. M. R. Rahman and Z. F. Haq, Air Quality and Urban Sustainable Development-Current Issues and Future Directions. in Sustainable Urban Environment and Waste Management: Theory and Practice: Springer, pp. 23-51, 2025.
  • D. Sari and A. Bayram, Quantification of emissions from domestic heating in residential areas of İzmir, Turkey and assessment of the impact on local/regional air-quality. Science of the Total Environment, 488, 429-436, 2014. https://doi.org/10.1016/j.scitotenv.201 3.11.033.
  • Z. Koşan, D. Kavuncuoğlu, E. O. Çalıkoğlu and E. B. Yerli, Evaluation of air pollution by PM10 and SO2 levels in Erzurum province, Turkey: Descriptive study. Journal of Surgery and Medicine, 2, 3, 265-268, 2018. https://doi.org/10.28982/josam.422921.
  • M. Mahmoud, M. Ramadan, S. Naher, K. Pullen and A.-G. Olabi, The impacts of different heating systems on the environment: A review. Science of the Total Environment, 766, 142625, 2021. https://doi.org/10.10 16/j.scitotenv.2020.142625.
  • W. Lin, X. Xu, B. Ge and X. Liu, Gaseous pollutants in Beijing urban area during the heating period 2007–2008: variability, sources, meteorological, and chemical impacts. Atmospheric Chemistry and Physics, 11, 15, 8157-8170, 2011. https://doi.org/10.51 94/acp-11-8157-2011.
  • R. Li, H. Fu, L. Cui, J. Li, Y. Wu, Y. Meng, Y. Wang and J. Chen, The spatiotemporal variation and key factors of SO2 in 336 cities across China. Journal of Cleaner Production, 210, 602-611, 2019. https://doi.org /10.1016/j.jclepro.2018.11.062.
  • M. Mokarram and E. Rastegar, Assessing the impact of coal furnace activities on air quality: A comprehensive spatial and temporal analysis. Physics and Chemistry of the Earth, Parts A/B/C, 137, 103811, 2025. https://doi. org/10.1016/j.pce.2024.103811.
  • R. Dubey, A. K. Patra and Nazneen, Vertical profile of particulate matter: A review of techniques and methods. Air Quality, Atmosphere & Health, 15, 6, 979-1010, 2022. https://doi.org/10.1007/s11869-022-0 1192-1.
  • Y. F. Elshorbany, H. C. Kapper, J. R. Ziemke and S. A. Parr, The status of air quality in the United States during the COVID-19 pandemic: a remote sensing perspective. Remote Sensing, 13, 3, 369, 2021. https:// doi.org/10.3390/rs13030369.
  • M. Mousazadeh, B. Paital, Z. Naghdali, Z. Mortezania, M. Hashemi, E. Karamati Niaragh, M. Aghababaei, M. Ghorbankhani, E. Lichtfouse and M. Sillanpää, Positive environmental effects of the coronavirus 2020 episode: a review. Environment, Development and Sustainability, 23, 12738-12760, 2021. https://doi.org/ 10.1007/s10668-021-01240-3.
  • S. Esposito, V. Fainardi, A. Titolo, A. Lazzara, M. Menzella, B. Campana, A. Argentiero and N. Principi, How air pollution fuels respiratory infections in children: current insights. Frontiers in Public Health, 13, 1567206, 2025. https://doi.org/10.3389/fpubh.202 5.1567206/full.
  • A. P. K. Tai, L. J. Mickley and D. J. Jacob, Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change. Atmospheric Environment, 44, 32, 3976-3984, 2010. https://doi.org/10.1016/j.atmosenv.2010.06.060.
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There are 47 citations in total.

Details

Primary Language Turkish
Subjects Air Pollution Modelling and Control
Journal Section Research Articles
Authors

Halil Aydın 0000-0002-3302-272X

Ebru Koçak 0000-0002-6419-2318

Early Pub Date September 10, 2025
Publication Date October 15, 2025
Submission Date May 23, 2025
Acceptance Date August 8, 2025
Published in Issue Year 2025 Volume: 14 Issue: 4

Cite

APA Aydın, H., & Koçak, E. (2025). Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 14(4), 1328-1338. https://doi.org/10.28948/ngumuh.1704780
AMA Aydın H, Koçak E. Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi. NOHU J. Eng. Sci. October 2025;14(4):1328-1338. doi:10.28948/ngumuh.1704780
Chicago Aydın, Halil, and Ebru Koçak. “Konya Ilinde PM10 Ve SO2 Kirleticilerinin Zamansal Ve Mekânsal Değişimi Ile PM10 Maruziyetine Bağlı Sağlık Risk Değerlendirmesi”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 14, no. 4 (October 2025): 1328-38. https://doi.org/10.28948/ngumuh.1704780.
EndNote Aydın H, Koçak E (October 1, 2025) Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 14 4 1328–1338.
IEEE H. Aydın and E. Koçak, “Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi”, NOHU J. Eng. Sci., vol. 14, no. 4, pp. 1328–1338, 2025, doi: 10.28948/ngumuh.1704780.
ISNAD Aydın, Halil - Koçak, Ebru. “Konya Ilinde PM10 Ve SO2 Kirleticilerinin Zamansal Ve Mekânsal Değişimi Ile PM10 Maruziyetine Bağlı Sağlık Risk Değerlendirmesi”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 14/4 (October2025), 1328-1338. https://doi.org/10.28948/ngumuh.1704780.
JAMA Aydın H, Koçak E. Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi. NOHU J. Eng. Sci. 2025;14:1328–1338.
MLA Aydın, Halil and Ebru Koçak. “Konya Ilinde PM10 Ve SO2 Kirleticilerinin Zamansal Ve Mekânsal Değişimi Ile PM10 Maruziyetine Bağlı Sağlık Risk Değerlendirmesi”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, vol. 14, no. 4, 2025, pp. 1328-3, doi:10.28948/ngumuh.1704780.
Vancouver Aydın H, Koçak E. Konya ilinde PM10 ve SO2 kirleticilerinin zamansal ve mekânsal değişimi ile PM10 maruziyetine bağlı sağlık risk değerlendirmesi. NOHU J. Eng. Sci. 2025;14(4):1328-3.

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