Machine Learning Regression Modeling Analysis for PM 2.5 Concentration Estimation in Jakarta: Approaches and Implications for Air Quality
Main Article Content
Abstract
Air pollution by fine particulate matter (PM2.5) significantly impacts public health and environmental stability. As an air pollutant, PM2.5 is influenced by climate factors such as temperature, humidity, and wind patterns, all of which fluctuate due to climate change. This literature review explores the application of machine learning (ML) in predicting and analyzing PM2.5 behavior, focusing on three primary methods: Support Vector Regression (SVR), Random Forest (RF), and Neural Networks (NN). Based on 20 studies, this review compares the strengths and limitations of each method, evaluating how ML techniques address the complexity and variability of climate data in the context of PM2.5.
Downloads
References
Park, S., Allen, R. J., & Lim, C. H. (2020). A likely increase in fine particulate matter and premature mortality under future climate change. Air Quality, Atmosphere and Health, 13(2), 143–151. https://doi.org/10.1007/s11869-019-00785-7
Lecœur, È., Seigneur, C., Pagé, C., & Terray, L. (2014). A statistical method to estimate PM2.5 concentrations from meteorology and its application to the effect of climate change. Journal of Geophysical Research, 119(6), 3537–3585. https://doi.org/10.1002/2013JD021172
Fernández-Agüera, J., Dominguez-Amarillo, S., Fornaciari, M., & Orlandi, F. (2019). TVOCs and PM 2.5 in naturally ventilated homes: Three case studies in a mild climate. Sustainability (Switzerland), 11(22). https://doi.org/10.3390/su11226225
Pommier, M., Fagerli, H., Gauss, M., Simpson, D., Sharma, S., Sinha, V., Ghude, S. D., Landgren, O., Nyiri, A., & Wind, P. (2018). Impact of regional climate change and future emission scenarios on surface O3 and PM2.5 over India. Atmospheric Chemistry and Physics, 18(1), 103–127. https://doi.org/10.5194/acp-18-103-2018
Skyllakou, K., Rivera, P. G., Dinkelacker, B., Karnezi, E., Kioutsioukis, I., Hernandez, C., Adams, P. J., & Pandis, S. N. (2021). Changes in PM2.5concentrations and their sources in the US from 1990 to 2010. Atmospheric Chemistry and Physics, 21(22), 17115–17132. https://doi.org/10.5194/acp-21-17115-2021
Tao, J., Gao, J., Zhang, L., Zhang, R., Che, H., Zhang, Z., Lin, Z., Jing, J., Cao, J., & Hsu, S. C. (2014). PM2.5 pollution in a megacity of Southwest China: Source apportionment and implication. Atmospheric Chemistry and Physics, 14(16), 8679–8699. https://doi.org/10.5194/acp-14-8679-2014
Jia, Z., Ordóñez, C., Doherty, R. M., Wild, O., Turnock, S. T., & O’Connor, F. M. (2023). Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change. Atmospheric Chemistry and Physics, 23(4), 2829–2842. https://doi.org/10.5194/acp-23-2829-2023
Leung, D. M., Tai, A. P. K., Mickley, L. J., Moch, J. M., van Donkelaar, A., Shen, L., & Martin, R. v. (2018). Synoptic meteorological modes of variability for fine particulate matter (PM2.5) air quality in major metropolitan regions of China. Atmospheric Chemistry and Physics, 18(9), 6733–6748. https://doi.org/10.5194/acp-18-6733-2018
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., & Liao, H. (2019). Fine particulate matter (PM2.5) trends in China, 2013-2018. separating contributions from anthropogenic emissions and meteorology. Atmospheric Chemistry and Physics, 19(16), 11031–11041. https://doi.org/10.5194/acp-19-11031-2019
Dawson, J. P., Adams, P. J., & Pandis, S. N. (2007). Atmospheric Chemistry and Physics Sensitivity of PM 2.5 to climate in the Eastern US: a modeling case study. In Atmos. Chem. Phys (Vol. 7). www.atmos-chem-phys.net/7/4295/2007/
Tai, A. P. K., Mickley, L. J., Jacob, D. J., Leibensperger, E. M., Zhang, L., Fisher, J. A., & Pye, H. O. T. (2012). Meteorological modes of variability for fine particulate matter (PM2.5) air quality in the United States: Implications for PM2.5 sensitivity to climate change. In Atmospheric Chemistry and Physics (Vol. 12, Issue 6, pp. 3131–3145). https://doi.org/10.5194/acp-12-3131-2012
Gao, M., Liu, Z., Zheng, B., Ji, D., Sherman, P., Song, S., Xin, J., Liu, C., Wang, Y., Zhang, Q., Xing, J., Jiang, J., Wang, Z., Carmichael, G. R., & McElroy, M. B. (2020). China’s emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002. Atmospheric Chemistry and Physics, 20(3), 1497–1505. https://doi.org/10.5194/acp-20-1497-2020
Avise, J., Chen, J., Lamb, B., Wiedinmyer, C., Guenther, A., Salathé, E., & Mass, C. (2009). Atmospheric Chemistry and Physics Attribution of projected changes in summertime US ozone and PM 2.5 concentrations to global changes. In Atmos. Chem. Phys (Vol. 9). www.atmos-chem-phys.net/9/1111/2009/
Chen, Z., Xie, X., Cai, J., Chen, D., Gao, B., He, B., Cheng, N., & Xu, B. (2018). Understanding meteorological influences on PM2.5 concentrations across China: A temporal and spatial perspective. In Atmospheric Chemistry and Physics (Vol. 18, Issue 8, pp. 5343–5358). Copernicus GmbH. https://doi.org/10.5194/acp-18-5343-2018
Megaritis, A. G., Fountoukis, C., Charalampidis, P. E., Denier Van Der Gon, H. A. C., Pilinis, C., & Pandis, S. N. (2014). Linking climate and air quality over Europe: Effects of meteorology on PM2.5concentrations. Atmospheric Chemistry and Physics, 14(18), 10283–10298. https://doi.org/10.5194/acp-14-10283-2014
Tai, A. P. K., Mickley, L. J., & Jacob, D. J. (2012). Impact of 2000-2050 climate change on fine particulate matter (PM 2.5) air quality inferred from a multi-model analysis of meteorological modes. Atmospheric Chemistry and Physics, 12(23), 11329–11337. https://doi.org/10.5194/acp-12-11329-2012
Mahmud, A., Hixson, M., Hu, J., Zhao, Z., Chen, S. H., & Kleeman, M. J. (2010). Climate impact on airborne particulate matter concentrations in California using seven year analysis periods. Atmospheric Chemistry and Physics, 10(22), 11097–11114. https://doi.org/10.5194/acp-10-11097-2010
Miao, Y., Li, J., Miao, S., Che, H., Wang, Y., Zhang, X., Zhu, R., & Liu, S. (2019). Interaction Between Planetary Boundary Layer and PM2.5 Pollution in Megacities in China: a Review. In Current Pollution Reports (Vol. 5, Issue 4, pp. 261–271). Springer. https://doi.org/10.1007/s40726-019-00124-5
Fu, Y., Tai, A. P. K., & Liao, H. (2016). Impacts of historical climate and land cover changes on fine particulate matter (PM2.5) air quality in East Asia between 1980 and 2010. In Atmospheric Chemistry and Physics (Vol. 16, Issue 16, pp. 10369–10383). Copernicus GmbH. https://doi.org/10.5194/acp-16-10369-2016
[20] Tai, P. (2012). Impact of Climate Change on Fine Particulate Matter (PM 2.5) Air Quality.
Article Sidebar
