Veri Madenciliği ile Hava Kalitesi Tahmini: İstanbul Örneği

Yıl 2024, , 139 - 158, 31.07.2024

Nesibe Manav Mutlu , Eyup Burak Atahanlı

https://doi.org/10.17671/gazibtd.1426942

Öz

Sanayi devrimi ile başlayan ve günümüzde tehlikeli boyutlara ulaşan hava kirliliği sorununun boyutunu ortaya çıkarmak, olası nedenleri arasındaki ilişkiyi belirlemek ve çözüm önerileri sunmak amacıyla İstanbul’un farklı ilçelerinden alınan çeşitli hava kirliliği verileri kullanılarak istatistiksel testler gerçekleştirilmiştir. Ayrıca önümüzdeki yıllarda oluşabilecek hava kirliliğin büyüklüğünü tahmin etmek için makine öğrenmesi teknikleri de kullanılmıştır. Alınan verilere dayanarak 2023-2025 yılları için ilçeler bazında Prophet modeli kullanarak tahminler yapılmıştır. Bu tahminlere dayanarak önerilerde bulunulmuştur.

Anahtar Kelimeler

hava kirliliği tahmini, veri madenciliği, hava kalitesi analizi

Air Quality Prediction with Data Mining: Istanbul Example

Öz

Statistical tests were carried out using various air pollution data from different districts of Istanbul in order to reveal the extent of the air pollution problem, which started with the industrial revolution and has reached dangerous levels today, to determine the relationship between possible causes and to offer solution suggestions. In addition, machine learning techniques have been used to predict the magnitude of air pollution that may occur in the coming years. Based on the data received, predictions were made using the Prophet model on a district basis for the years 2023-2025. Recommendations have been made based on these predictions.

Anahtar Kelimeler

air pollution prediction, data mining, air quality analysis.

Kaynakça

• Internet: J. Mackenzie, Air Pollution: Everything You Need to Know, NRDC, https://www.nrdc.org/stories/air-pollution-everything-you-need-know#whatis, 19.07.2023.
• G. Kara, B. Çiğdem, Y. Çay, “Konya’da Hava Kirliliği Konusunda Farkındalık Düzeyinin Belirlenmesi”, Ulusal Çevre Bilimleri Araştırma Dergisi, 2(2), pp. 91-94, 2019.
• W. Nazar ve M. Niedoszytko, “Air Pollution in Poland: A 2022 Narrative Review with Focus on Respiratory Diseases”, International Journal of Environmental Research and Public Health, 19(2), p. 895, 2022. H. Zamri, Z. A. Shaffiei, N. A. Daud, D. N. Ahmad, “AirAwareMalaysia: Data Visualization and Air Quality Awareness on Air Pollution in Selangor Using Big Data Analytics”, International Conference on Soft Computing and Data Mining, 457, pp. 223-233, 2022.
• Internet: D. Kim, Media Portrayal and Public Awareness of Air Pollution in Los Angeles and Seoul, Digital Commons Connecticut College, 2022, https://digitalcommons.conncoll.edu/sip/39/,19.07.2023.
• S. Illari, R. T. Lado, L. Marrodan, “Traffic and Pollution Modelling for Air Quality Awareness: An Experience in the City of Zaragoza”, SN Computer Science, 3(3), p. 281, 2022.
• G. Kanchelashvili, L. Gulbiani, A. Dekanosidze, L. Kvachantiradze, G. Kamkamidze, L. Sturua, “Knowledge Of Georgian Population Towards Air Pollution And Health Effects Of Lead Contamination”, Georgian Med News, 322, pp. 58-62, 2022.
• A. Piracha, M. T. Chaudhary, “Urban Air Pollution, Urban Heat Island and Human Health: A Review of the Literature”, Sustainability, 14(15), p. 9234, 2022.
• M. Banach, R. Dlugosz, T. Talaska, W. Pedrycz, “Air Pollution Monitoring System with Prediction Abilities Based on Smart Autonomous Sensors Equipped with ANNs with Novel Training Scheme”, Remote Sensing, 14(2), p. 413, 2022.
• C. Giorio, “Energy efficiency vs indoor air quality conundrum and possible solutions”, ECG Bulletin, p. 20, 2022. E. Di Pirro, L. Sollustio, J. A. C. Castellar, G. Sgrigna, M. Marchetti, B. Lasserre, “Facing Multiple Environmental Challenges through Maximizing the Co-Benefits of Nature-Based Solutions at a National Scale in Italy”, Forests, 13(4), p. 548, 2022.
• A. Bhatnagar, “Cardiovascular Effects of Particulate Air Pollution”, Annual Reviews, 73, pp. 393-406, 2022. T. Jin, Q. Di, W. J. Requia, M. D. Yazdi, E. Castro, T. Ma, Y. Wang, “Associations between long-term air pollution exposure and the incidence of cardiovascular diseases among American older adults”, Environment international, 170, p. 107594, 2022.
• R. D. Brook, J. R. Brook ve S. Rajagopalan, “Air pollution: The “heart” of the problem”, Current Hypertension Reports, 5, pp. 32-39, 2003.
• X. Xu, H. Yang, C. Li, “Theoretical Model and Actual Characteristics of Air Pollution Affecting Health Cost: A Review”, International Journal of Environmental Research and Public Health, 19(6), p. 3532, 2022.
• R. Fuller, P. J. Landrigan, K. Balakrishnan, G. Bathan, M. Brauer, J. Caravanos ve T. Chiles, “Pollution and health: a progress update”, The Lancet Planetary Health, 6(6), pp. 535-547, 2022.
• B. Helene, S. Gabet, G. Kerneis, A. Provent, C. Rieux, N. B. Salem, H. Dupont, et al., “Designing local air pollution policies focusing on mobility and heating to avoid a targeted number of pollution-related deaths: Forward and backward approaches combining air pollution modeling, health impact assessment and cost-benefit analysis”, Environment International, 159, p. 107030, 2022.
• Ş. Güzel, P. Özer, “Türkiye’de Hava Kirliliği ve Sağlık Harcamaları”, Sağlık ve Sosyal Refah Araştırmaları Dergisi, 4(2), pp. 186-202, 2022.
• S. Ünaldı, N. Yalçın, “Hava Kirliliğinin Makine Öğrenmesi Tabanlı Tahmini: Başakşehir Örneği”, Mühendislik Bilimleri ve Araştırmaları Dergisi, 4(1), pp. 35-44, 2022.
• D. Sanjeev, “Implementation of Machine Learning Algorithms for Analysis and Prediction of Air Quality”, International Journal of Engineering Research & Technology (IJERT), 10(3), pp. 533-538, 2021.
• M. Öklü ve P. Canbay, “Makine Öğrenmesi Yöntemleri ile Şehirlerin Hava Kalitesi Tahmini”. International Journal of Advances in Engineering and Pure Sciences, 35(1), pp.39-53, 2023.
• E. Çetin Yağmur, “Atmosferik Partikül Maddelerin Makine Öğrenmesi İle Tahmini: Beşiktaş, İstanbul Örneği”, KONJES, 10(4), pp. 807–826, 2022. doi: 10.36306/konjes.1082866.
• Oğuz, K., & Pekin, M. A. (2022). Makine Öğrenme Algoritmaları ile PM10 Konsantrasyon Tahmini. Journal of Advanced Research in Natural and Applied Sciences, 8(2), 201-213. https://doi.org/10.28979/jarnas.981202
• B. Duygu Çelik ve N. Arıcı, “Covid-19 Salgın Sürecinde Hava Kalitesi Tahmini: Zonguldak Örneği”, GJES, vol. 7, no. 3, pp. 222–232, 2021.
• Akgün, M., & Barlık, N. (2023). Makine Öğrenmesi Algoritmaları Kullanılarak Hava Kalitesi İndeksinin Tahmini. Avrupa Bilim Ve Teknoloji Dergisi (51), 97-107. https://doi.org/10.31590/ejosat.1241170
• Y. Gültepe, “Makine Öğrenmesi Algoritmaları ile Hava Kirliliği Tahmini Üzerine Karşılaştırmalı Bir Değerlendirme”, European Journal of Science and Technology, 16, 8–15, 2019.
• L.K. Wang, N.C. Pereira and T.S. Hung, Air pollution control engineering, 1, New Jersey, Humana Press, 100-105, 2004. Y.T. Tsai, Y. R. Zeng and Y. S. Chang, “Air Pollution Forecasting Using RNN with LSTM” 2018 The 16th IEEE International Conference on Pervasive Intelligence and Computing, 1074-107, 2018.
• Y. Rybarczyk and R. Zalakeviciute, “Machine learning approach to forecasting urban pollution” 2016 IEEE Ecuador Technical Chapters Meeting, ETCM, 2016.
• https://api.ibb.gov.tr/havakalitesi/OpenDataPortalHandler/GetAQIByStationId
• H. Gong, “Health Effects Of Air Pollution: A Review of Clinical Studies”, Clinics in Chest Medicine, 13(2), 201-214, 1992. ISSN 0272-5231, https://doi.org/10.1016/S0272-5231(21)00851-0.
• R. Chen, H. Kan, B. Chen, W. Huang, Z. Bai, G. Song, G. Pan, “Association of Particulate Air Pollution With Daily Mortality: The China Air Pollution and Health Effects Study”, American Journal of Epidemiology, 175(11), 1173–1181, 2012. https://doi.org/10.1093/aje/kwr425
• Impactsey and V. Ramanathan, “Recent climate and air pollution impacts on Indian agriculture.” Proceedings of the National Academy of Sciences 111(46), 16319-16324, 2014.
• J. L. Domingo and R. Joaquim, “Effects of air pollutants on the transmission and severity of respiratory viral infections”, Environmental research, 187 (2020), 109650, 2020.
• J. Q. Koenig, “Air pollution and asthma”, Journal of allergy and clinical immunology, 104.4, 717-722, 1999.
• K. Donaldson, M. Gilmour, W. MacNee, “Asthma and PM10”, Respiratory Research, 1(1), pp. 12-15, 2000.
• C. Mallik, “Anthropogenic sources of air pollution”, Air pollut. sources, impacts control, 6-25, 2019.
• S. A. Horn and P. K. Dasgupta, “The Air Quality Index (AQI) in historical and analytical perspective a tutorial review”, Talanta, 125260, 2023.
• W. Krewitt, A. Trukenmüller, T.M. Bachmann, et al., “Country-specific damage factors for air pollutants”, Int J LCA, 6, pp. 199-210 2001.
• E. Bales, N. Nikzad, N. Quick, et al., “Personal pollution monitoring: mobile real-time air quality in daily life”, Pers Ubiquit Comput, 23, pp. 309-328, 2019.
• C. Fan, Y. Li, J. Guang, Z. Li, A. Elnashar, M. Allam, G. de Leeuw, “The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China”, Remote Sens., 12, 1613, 2020.
• Internet: “Adalar Turizm Raporu Ocak 2020”, Şehir Planlama Müdürlüğü, https://sehirplanlama.ibb.istanbul/wp-content/uploads/2020/07/adalar-turizm-raporu-IBB-icin.pdf
• Internet: Üsküdar “Şehir Kimliği” Çalıştayı Sonuç Raporu, T.C. Çevre, Şehircilik ve İklim Değişikliği Bakanlığı, 2014, https://cevresehiriklimkutuphanesi.csb.gov.tr/SourcePDF/52dcf1a1-9c69-4149-9cdc-067dfe15de1f
• Internet: Türkiye News, “Air pollution high in areas with traffic congestion in Istanbul”, Hürriyet Daily News, 2023. https://www.hurriyetdailynews.com/air-pollution-high-in-areas-with-traffic-congestion-in-istanbul-187565 D. Jandacka, D. Durcanska, M. Bujdos, “The contribution of road traffic to particulate matter and metals in air pollution in the vicinity of an urban road”, Transportation Research Part D: Transport and Environment, 50, pp.397-408, 2017.
• Internet: H. F. Başer, “İstanbul'da hava kirliliğinin en büyük nedeni “trafik””, Anadolu Ajansı, https://www.aa.com.tr/tr/cevre/istanbulda-hava-kirliliginin-en-buyuk-nedeni-trafik/2425106, 19.07.2023.
• Internet: Taşıt-kilometre İstatistikleri, 2019, Türkiye İstatistik Kurumu, https://data.tuik.gov.tr/Bulten/Index?p=Tasit-kilometre-Istatistikleri-2019-37409, 19.07.2023.
• S. J. Taylor, B. Letham, “Forecasting at scale”, The American Statistician, 72(1), pp. 37-45, 2018. A. H. Setianingrum, N. Anggraini, and M. F. D. Ikram, “Prophet model performance analysis for Jakarta air quality forecasting.” In 2022 10th international conference on cyber and it service management (citsm), 1-7, IEEE, 2022.
• F. Cai, “The Prediction of the Air Quality based on the Prophet Algorithm” Highlights in Science, Engineering and Technology, 39, 1056-1060, 2023.
• W.Y. Zhang, W.C. Hong, Y. Dong, G. Tsai, J.T. Sung and G.F. Fan, “Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting” Energy, 45(1), 850-858, 2012.
• V. Gupta, S. Kapadia and C. Bhadane, “Time Series Analysis and Forecasting of Air Quality in India”, In 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 1-5, IEEE, 2023.
• S. Ünaldi ve N. Yalçın, “Hava kirliliğinin makine öğrenmesi tabanlı tahmini: Başakşehir örneği”, Mühendislik Bilimleri ve Araştırmaları Dergisi, 4(1), 35-44, 2022.
• S. Ertürk Atabey, E. Eroğlu, “Kentsel Negatif Dışsallık Olarak Trafiğe Bağlı Hava Kirliliği: Kentsel Kamu Maliyesi Bağlamında Çözüm Önerisi”, Çağdaş Yerel Yönetimler Dergisi, 30(1), 71-98, 2021.
• R. Akdur, “Hava Kirliliği ve Çözümler”, Halk Sağlığı ile İlgili Güncel Sorunlar ve Yaklaşımlar, Ankara Tabipler Odası, 151-155, 2009.
• M. E. Akıner, “Akıllı Şehirlerde Hava Kirliliğine Yönelik Mobil Algılama Sistemleri ve Sürdürülebilir Binalarda İç Hava Kalitesine Genel Bakış”, Teoriden Pratiğe Akıllı Şehirler, 2024.
• K. B. Schnelle, M. E. Ternes, R. F. Dunn, Air pollution control technology handbook, ABD: Crc Press, 2016.