Literature Cited
- Akimoto, H. 2003. Global air quality and pollution. Science 302 (5651):1716–19. doi: https://doi.org/10.1126/science.1092666.
- Barna, M., B. Lamb, S. O’Neill, H. Westberg, C. Figueroa-Kaminsky, S. Otterson, C. Bowman, and J. DeMay. 2000. Modeling ozone formation and transport in the Cascadia region of the Pacific Northwest. Journal of Applied Meteorology 39 (3):349–66. doi: https://doi.org/10.1175/1520-0450(2000)039 < 0349:MOFATI>2.0.CO;2.
- Bedoya-Soto, J. M., E. Aristizábal, A. M. Carmona, and G. Poveda. 2019. Seasonal shift of the diurnal cycle of rainfall over Medellin’s valley, Central Andes of Colombia (1998–2005). Frontiers in Earth Science 7:1–15. doi: https://doi.org/10.3389/feart.2019.00092.
- Bravo Alvarez, H., R. Sosa Echeverria, P. Sanchez Alvarez, and S. Krupa. 2013. Air quality standards for particulate matter (PM) at high altitude cities. Environmental Pollution 173:255–56. doi: https://doi.org/10.1016/j.envpol.2012.09.025.
- Censo nacional de población y vivienda—Colombia [National census of population and housing—Colombia]. 2018. National microdata archive. Departamento Administrativo Nacional de Estadística [National Administrative Department for Statistics]. Accessed January 10, 2021. http://microdatos.dane.gov.co/index.php/catalog/643/get_microdata.
- Cheng, C. H., S. F. Huang, and H. J. Teoh. 2011. Predicting daily ozone concentration maxima using fuzzy time series based on a two-stage linguistic partition method. Computers & Mathematics with Applications 62 (4):2016–28. doi: https://doi.org/10.1016/j.camwa.2011.06.044.
- Cheng, S., J. Ma, W. Cheng, P. Yan, H. Zhou, L. Zhou, and P. Yang. 2019. Tropospheric NO2 vertical column densities retrieved from ground-based MAX-DOAS measurements at Shangdianzi regional atmospheric background station in China. Journal of Environmental Sciences (China) 80 (2):186–96. doi: https://doi.org/10.1016/j.jes.2018.12.012.
- Cooper, O. R., M. Trainer, A. M. Thompson, S. J. Oltmans, D. W. Tarasick, J. C. Witte, A. Stohl, S. Eckhardt, J. Lelieveld, M. J. Newchurch, et al. 2007. Evidence for a recurring eastern North America upper tropospheric ozone maximum during summer. Journal of Geophysical Research 112 (D23):1–12. doi: https://doi.org/10.1029/2007JD008710.
- Crippa, A., S. C. Larsson, A. Discacciati, A. Wolk, and N. Orsini. 2018. Red and processed meat consumption and risk of bladder cancer: A dose-response meta-analysis of epidemiological studies. European Journal of Nutrition 57 (2):689–701. doi: https://doi.org/10.1007/s00394-016-1356-0.
- Del Río, D., C. Younes, and C. A. M. Rodríguez. 2017. A meteorological variables study and its correlation with thunderstorm activity over Medellin city (Colombia). Paper presented at the 14th International Symposium on Lightning Protection, SIPDA, Natal, Brazil, October 2. doi: https://doi.org/10.1109/SIPDA.2017.8116906.
- Gao, J., A. Woodward, S. Vardoulakis, S. Kovats, P. Wilkinson, L. Li, L. Xu, J. Li, J. Yang, J. Li, et al. 2017. Haze, public health and mitigation measures in China: A review of the current evidence for further policy response. The Science of the Total Environment 578 (155):148–57. doi: https://doi.org/10.1016/j.scitotenv.2016.10.231.
- Gutmann, E., I. Barstad, M. Clark, J. Arnold, and R. Rasmussen. 2016. The intermediate complexity atmospheric research model (ICAR). Journal of Hydrometeorology 17 (3):957–73. doi: https://doi.org/10.1175/JHM-D-15-0155.1.
- IBM SPSS. 2015. SPSS statistics for Windows, version 23.0. Armonk, NY: IBM.
- Jiménez Mejía, J. F. 2016. Altura de la capa de mezcla en un área urbana, montañosa y tropical. Caso de estudio: Valle de aburrá, Colombia [Mix layer depth of an urban, mountainous, and tropical area. Case study: Aburrá Valley, Colombia]. PhD dissertation, Universidad de Antioquia.
- Judd, L. M., J. A. Al-Saadi, L. C. Valin, R. Bradley Pierce, K. Yang, S. J. Janz, M. G. Kowalewski, J. J. Szykman, M. Tiefengraber, and M. Mueller. 2018. The dawn of geostationary air quality monitoring: Case studies from Seoul and Los Angeles. Frontiers in Environmental Science 6:1–17. doi: https://doi.org/10.3389/fenvs.2018.00085.
- Kuo, Y.-H., J. D. Neelin, and C. R. Mechoso. 2017. Tropical convective transition statistics and causality in the water vapor–precipitation relation. Journal of the Atmospheric Sciences 74 (3):915–31. doi: https://doi.org/10.1175/JAS-D-16-0182.1.
- Lin, Y., and W. G. Cobourn. 2007. Fuzzy system models combined with nonlinear regression for daily ground-level ozone predictions. Atmospheric Environment 41 (16):3502–13. doi: https://doi.org/10.1016/j.atmosenv.2006.11.060.
- Madronich, S., and S. Flocke. 1999. The role of solar radiation in atmospheric chemistry. In The handbook of environmental chemistry, vol. 2/2L, ed. P. Boule, 1–26. Berlin, Germany: Springer. doi: https://doi.org/10.1007/978-3-540-69044-3_1.
- Martins Pereira, G., K. Teinilä, D. Custódio, A. Gomes Santos, H. Xian, R. Hillamo, C. A. Alves, J. Bittencourt De Andrade, G. Olímpio Da Rocha, P. Kumar, et al. 2017. Particulate pollutants in the Brazilian city of Saõ Paulo: 1-year investigation for the chemical composition and source apportionment. Atmospheric Chemistry and Physics 17 (19):11943–69. doi: https://doi.org/10.5194/acp-17-11943-2017.
- Mendez-Espinosa, J. F., L. C. Belalcazar, and R. Morales Betancourt. 2019. Regional air quality impact of northern South America biomass burning emissions. Atmospheric Environment 203:131–40. doi: https://doi.org/10.1016/j.atmosenv.2019.01.042.
- Murillo-Escobar, J., J. P. Sepulveda-Suescun, M. A. Correa, and D. Orrego-Metaute. 2019. Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia. Urban Climate 29:100473. doi: https://doi.org/10.1016/j.uclim.2019.100473.
- Nebot, A., V. Mugica, and A. Escobet. 2008. Ozone prediction based on meteorological variables: A fuzzy inductive reasoning approach. Atmospheric Chemistry and Physics Discussions 8 (3):12343–70. doi: https://doi.org/10.5194/acpd-8-12343-2008.
- Nisperuza, D. J. 2015. Propiedades ópticas de los aerosoles atmosféricos En La región andina colombiana mediante análisis de mediciones remotas: LIDAR, fotométricas y satelitales [Optical properties of atmospheric aerosols in the Colombian Andean region through remote measurement analysis: LIDAR, photometric, and satellite]. PhD dissertation, Universidad Nacional de Colombia.
- Özbay, B., G. A. Keskin, Ş. Ç. Doğruparmak, and S. Ayberk. 2011. Multivariate methods for ground-level ozone modeling. Atmospheric Research 102 (1–2):57–65. doi: https://doi.org/10.1016/j.atmosres.2011.06.005.
- Pachón, J. E., B. Galvis, O. Lombana, L. G. Carmona, S. Fajardo, A. Rincón, S. Meneses, R. Chaparro, R. Nedbor-Gross, and B. Henderson. 2018. Development and evaluation of a comprehensive atmospheric emission inventory for air quality modeling in the megacity of Bogotá. Atmosphere 9 (2):49. doi: https://doi.org/10.3390/atmos9020049.
- Patiño, K. V., S. M. Arroyave, and J. M. Marín. 2012. Oxidación electroquímica y ozonización aplicadas al tratamiento de aguas de lavado de la producción de biodiesel [Electrochemical oxidation and ozonation of wastewater from effluents in biodiesel production]. Información Tecnológica 23 (2):41–52. doi: https://doi.org/10.4067/S0718-07642012000200006.
- Posada, E., M. Gómez, and J. Almanza. 2017. Análisis comparativo y modelación de las situaciones de calidad del aire en una muestra de ciudades del mundo. Comparación con el caso de medellín [Comparative analysis and modeling of air quality condition in a sample of world cities: Comparison with the Medellin case]. Revista Politécnica 13 (25):9–53. doi: https://doi.org/10.33571/rpolitec.v13n25a1.
- Ramos, R., V. Cantillo, J. Arellana, and I. Sarmiento. 2017. From restricting the use of cars by license plate numbers to congestion charging: Analysis for Medellin, Colombia. Transport Policy 60:119–30. doi: https://doi.org/10.1016/j.tranpol.2017.09.012.
- Raymond, D., Ž. Fuchs, S. Gjorgjievska, and S. Sessions. 2015. Balanced dynamics and convection in the tropical troposphere. Journal of Advances in Modeling Earth Systems 7 (3):1093–1116. doi: https://doi.org/10.1002/2015MS000467.
- Rúa, A., G. Liebezeit, R. Molina, and J. Palacio. 2016. Unmixing progradational sediments in a southwestern Caribbean Gulf through late Holocene: Backwash of low-level atmospheric jets. Journal of Coastal Research 32 (2):397–407. doi: https://doi.org/10.2112/jcoastres-d-14-00216.1.
- Schultz, M. G., H. Akimoto, J. Bottenheim, B. Buchmann, I. E. Galbally, S. Gilge, D. Helmig, H. Koide, A. C. Lewis, P. C. Novelli, et al. 2015. The global atmosphere watch reactive gases measurement network. Elementa 3:1–23. doi: https://doi.org/10.12952/journal.elementa.000067.
- SIATA. 2018. Sistema de Alerta Temprana del Valle de Aburrá [Early Warning System of the Aburrá Valley]. Accessed January 10, 2021. https://www.siata.gov.co.
- Sousa, S. I. V., F. G. Martins, M. C. Pereira, and M. C. M. Alvim-Ferraz. 2006. Prediction of ozone concentrations in Oporto City with statistical approaches. Chemosphere 64 (7):1141–49. doi: https://doi.org/10.1016/j.chemosphere.2005.11.051.
- Stevenson, D. S., F. J. Dentener, M. G. Schultz, K. Ellingsen, T. P. C. van Noije, O. Wild, G. Zeng, M. Amann, C. S. Atherton, N. Bell, et al. 2006. Multimodel ensemble simulations of present-day and near-future tropospheric ozone. Journal of Geophysical Research 111 (D8):1–23. doi: https://doi.org/10.1029/2005JD006338.
- Tack, F., A. Merlaud, A. C. Meier, T. Vlemmix, T. Ruhtz, M. D. Iordache, X. Ge, L. Van Der Wal, D. Schuettemeyer, M. Ardelean, et al. 2019. Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping—The AROMAPEX campaign. Atmospheric Measurement Techniques 12 (1):211–36. doi: https://doi.org/10.5194/amt-12-211-2019.
- Tan, K. C., H. San Lim, and M. Z. M. Jafri. 2016. Prediction of column ozone concentrations using multiple regression analysis and principal component analysis techniques: A case study in peninsular Malaysia. Atmospheric Pollution Research 7 (3):533–46. doi: https://doi.org/10.1016/j.apr.2016.01.002.
- Taylan, O. 2017. Modelling and analysis of ozone concentration by artificial intelligent techniques for estimating air quality. Atmospheric Environment 150:356–65. doi: https://doi.org/10.1016/j.atmosenv.2016.11.030.
- Thompson, A. M. 1992. The oxidizing capacity of the earth’s atmosphere: Probable past and future changes. Science 256 (5060):1157–65. doi: https://doi.org/10.1126/science.256.5060.1157.
- Toro, M. V., L. V. Cremades, and J. Calbó. 2006. Relationship between VOC and NOx emissions and chemical production of tropospheric ozone in the Aburrá Valley (Colombia). Chemosphere 65 (5):881–88. doi: https://doi.org/10.1016/j.chemosphere.2006.03.013.
- Villa, T. F., R. A. Brown, E. R. Jayaratne, L. F. Gonzalez, L. Morawska, and Z. D. Ristovski. 2019. Characterization of the particle emission from a ship operating at sea using an unmanned aerial vehicle. Atmospheric Measurement Techniques 12 (1):691–702. doi: https://doi.org/10.5194/amt-12-691-2019.
- Walstra, P., J. T. M. Wouters, and T. J. Geurts. 2005. Dairy science and technology. Boca Raton, FL: CRC Press.
- Wang, J., Y. Yang, Y. Zhang, T. Niu, X. Jiang, Y. Wang, and H. Che. 2019. Influence of meteorological conditions on explosive increase in O3 concentration in troposphere. The Science of the Total Environment 652 (46):1228–41. doi: https://doi.org/10.1016/j.scitotenv.2018.10.228.
- Wolfram Research. 2018. Mathematica, version 11.3. Champaign, IL: Wolfram Research.
- Xiao, Y., J. Murray, and M. Lenzen. 2018. International trade linked with disease burden from airborne particulate pollution. Resources, Conservation and Recycling 129:1–11. doi: https://doi.org/10.1016/j.resconrec.2017.10.002.
- Zapata, C., and N. Cano. 2014. Inhalable particulate matter measurements (PM2.5) in the metropolitan area of Valle de Aburrá, Colombia. Journal of Engineering Research and Applications 4 (2):179–85.