Abstract
In this paper, we present a characterization of the optical properties of the aerosols emitted during biomass burning (BB) season in the period 2005–2009. Trends of aerosol optical depth (AOD), Angstrom exponent (α), and precipitable water (PW) were analyzed using a 5-year dataset from AErosol RObotic NETwork (AERONET) observations over Tuxtla Gutierrez (TG), Chiapas. The overall mean AOD (500 nm) during the 2005–2009 period was 0.26 ± 0.18. However, monthly mean values of AOD > 0.5 during the spring months (April and May) would indicate the high load of particles emitted by fires. The overall mean of α (440–870 nm) was 1.40 ± 0.21, which confirms the presence of fine aerosols. Additionally, the combined analysis of the α with its spectral curvature δα, and the results from the spectral de-convolution algorithm (SDA) shows that fine-mode aerosols dominated AOD variability in TG. In this paper, the trajectories of air masses (400 and 1500 m, a.s.l.) arriving at the TG site were classified by using backward trajectory cluster analysis. Trajectory clustering results indicate a BB regional transport from Central America that affects the atmosphere in southeastern Mexico. We use observations of fire radiative power (FRP) from the Moderate Resolution Imaging Spectroradiometer (MODIS) to study the incidence of wildfires and to estimate the BB emissions from 2005 to 2009 in southeastern Mexico. The results indicated a gradual decrease in fires throughout the years. Campeche and Yucatan are the states in southeastern Mexico where BB produces the highest emissions of carbon dioxide (CO2), carbon monoxide (CO), black carbon (BC), and particulate material PM2.5. However, the largest emissions come from wildfires in Guatemala. Finally, to put in context the aerosol optical properties over southeastern Mexico, the sun photometric measurements in TG are compared with those retrieved from AERONET stations located in other tropical biomass burning regions (Brazil and Zambia).
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References
Ackerman, A. S., Toon, O. B., Stevens, D. E., Heymsfield, A. J., Ramanathan, V., & Welton, E. J. (2000). Reduction of tropical cloudiness by soot. Science, 288(5468), 1042 LP–1041047. https://doi.org/10.1126/science.288.5468.1042.
Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., et al. (2011). Emission factors for open and domestic biomass burning for use in atmospheric models. Atmospheric Chemistry and Physics, 11(9), 4039–4072. https://doi.org/10.5194/acp-11-4039-2011.
Ångström, A. (1929). On the atmospheric transmission of sun radiation and on dust in the air. Geografiska Annaler, 11, 156–166. https://doi.org/10.2307/519399.
Bautista Vicente, F., Carbajal, N., & Pineda Martínez, L. F. (2014). Estimation of total yearly CO2 emissions by wildfires in Mexico during the period 1999–2010. Advances in Meteorology. https://doi.org/10.1155/2014/958457.
Becerra, J. X. (2005). Timing the origin and expansion of the Mexican tropical dry forest. Proceedings of the National Academy of Sciences of the United States of America, 102(31), 10919 LP – 10923. https://doi.org/10.1073/pnas.0409127102.
Bergstrom, R. W. (1972). Predictions of the spectral absorption and extinction coefficients of an urban air pollution aerosol model. Atmospheric Environment (1967), 6(4), 247–258. https://doi.org/10.1016/0004-6981(72)90083-2.
Bergstrom, R. W., Russell, P. B., & Hignett, P. (2002). Wavelength dependence of the absorption of black carbon particles: Predictions and results from the TARFOX experiment and implications for the Aerosol single scattering albedo. Journal of the Atmospheric Sciences, 59(3), 567–577. https://doi.org/10.1175/1520-0469(2002)059<0567:WDOTAO>2.0.CO;2.
Burgos, M. A., Mateos, D., Cachorro, V. E., Toledano, C., de Frutos, A. M., Calle, A., et al. (2018). An analysis of high fine aerosol loading episodes in north-Central Spain in the summer 2013—impact of Canadian biomass burning episode and local emissions. Atmospheric Environment, 184, 191–202. https://doi.org/10.1016/J.ATMOSENV.2018.04.024.
Carabali, G., Estévez, H. R., Valdés-Barrón, M., Bonifaz-Alfonzo, R., Riveros-Rosas, D., Velasco-Herrera, V. M., & Vázquez-Gálvez, F. A. (2017). Aerosol climatology over the Mexico City basin: Characterization of optical properties. Atmospheric Research, 194, 190–201. https://doi.org/10.1016/J.ATMOSRES.2017.04.035.
Challenger, A., & Soberón, J. (2008). Los ecosistemas terrestres. Conocimiento actual de la biodiversidad, 1, 87–108. ISBN: 978-972-36-1339-1.
Comisión Nacional Forestal. (2009). Inventario Nacional Forestal y de Suelos, México 2004-2009. In Memorias de la VII Reunión Nacional de Estadística. https://doi.org/10.1515/ling.1983.21.1.1.
Csiszar, I., Denis, L., Giglio, L., Justice, C. O., & Hewson, J. (2005). Global fire activity from two years of MODIS data. International Journal of Wildland Fire, 14(2), 117–130. https://doi.org/10.1071/WF03078.
Decesari, S., Facchini, M. C., Matta, E., Mircea, M., Fuzzi, S., Chughtai, A. R., & Smith, D. M. (2002). Water soluble organic compounds formed by oxidation of soot. Atmospheric Environment, 36(11), 1827–1832. https://doi.org/10.1016/S1352-2310(02)00141-3.
Dirmeyer, P. A., & Brubaker, K. L. (2007). Characterization of the global hydrologic cycle from a Back-trajectory analysis of atmospheric water vapor. Journal of Hydrometeorology, 8(1), 20–37. https://doi.org/10.1175/JHM557.1.
Dubovik, O., Smirnov, A., Holben, B. N., King, M. D., Kaufman, Y. J., Eck, T. F., & Slutsker, I. (2000). Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic network (AERONET) sun and sky radiance measurements. Journal of Geophysical Research-Atmospheres, 105(D8), 9791–9806. https://doi.org/10.1029/2000JD900040.
Dubovik, O., Holben, B., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M. D., et al. (2002). Variability of absorption and optical properties of key Aerosol types observed in worldwide locations. Journal of the Atmospheric Sciences, 59(3), 590–608. https://doi.org/10.1175/1520-0469(2002)059<0590:VOAAOP>2.0.CO;2.
Dubovik, O., & King, M. D. (2000). A flexible inversion algorithm for retrieval of aerosol optical properties from sun and sky radiance measurements. Journal of Geophysical Research-Atmospheres, 105(D16), 20673–20696. https://doi.org/10.1029/2000JD900282.
Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O’Neill, N. T., et al. (1999). Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. Journal of Geophysical Research-Atmospheres, 104(D24), 31333–31349. https://doi.org/10.1029/1999JD900923.
Eck, T. F., Holben, B. N., Reid, J. S., Mukelabai, M. M., Piketh, S. J., Torres, O., et al. (2013). A seasonal trend of single scattering albedo in southern African biomass-burning particles: Implications for satellite products and estimates of emissions for the world’s largest biomass-burning source. Journal of Geophysical Research-Atmospheres, 118(12), 6414–6432. https://doi.org/10.1002/jgrd.50500.
Eck, T. F., Holben, B. N., Reid, J. S., O’Neill, N. T., Schafer, J. S., Dubovik, O., et al. (2003). High aerosol optical depth biomass burning events: A comparison of optical properties for different source regions. Geophysical Research Letters, 30(20). https://doi.org/10.1029/2003GL017861.
Freeborn, P. H., Wooster, M. J., Hao, W. M., Ryan, C. A., Nordgren, B. L., Baker, S. P., & Ichoku, C. (2008). Relationships between energy release, fuel mass loss, and trace gas an aerosol emissions during laboratory biomass fires. Journal of Geophysical Research-Atmospheres, 113, 1. https://doi.org/10.1029/2007JD008679.
Giglio, L., Csiszar, I., & Justice, C. O. (2006). Global distribution and seasonality of active fires as observed with the Terra and Aqua moderate resolution imaging Spectroradiometer (MODIS) sensors. Journal of Geophysical Research – Biogeosciences, 111, 2. https://doi.org/10.1029/2005JG000142.
Gobbi, G. P., Kaufman, Y. J., Koren, I., & Eck, T. F. (2007). Classification of aerosol properties derived from AERONET direct sun data. Atmospheric Chemistry and Physics, 7(2), 453–458. https://doi.org/10.5194/acp-7-453-2007.
González Rocha, S. N., Juárez Pérez, F., Aguilar Meléndez, A., Salas, A. C., Calderón Ramón, C., Escalante Martínez, J. E., et al. (2017). Planet boundary layer parameterization in weather research and forecasting (WRFv3.5): Assessment of performance in high spatial resolution simulations in complex topography of Mexico. Computación y Sistemas, 21(1), 35–44. https://doi.org/10.13053/cys-21-1-2581.
Hartigan, J. A., & Wong, M. A. (1979). A k-means clustering algorithm. Applied Statistics. https://doi.org/10.2307/2346830.
Holben, B. N., Tanré, D., Smirnov, A., Eck, T. F., Slutsker, I., Abuhassan, N., et al. (2001). An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET. Journal of Geophysical Research-Atmospheres, 106(D11), 12067–12097. https://doi.org/10.1029/2001JD900014.
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., et al. (1998). AERONET—a federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66(1), 1–16. https://doi.org/10.1016/S0034-4257(98)00031-5.
In, H. J., Byun, D. W., Park, R. J., Moon, N. K., Kim, S., & Zhong, S. (2007). Impact of transboundary transport of carbonaceous aerosols on the regional air quality in the United States: A case study of the south American wildland fire of may 1998. Journal of Geophysical Research-Atmospheres, 112, 7), 1–7),16. https://doi.org/10.1029/2006JD007544.
INEGI. (2015). Conjunto de datos vectoriales de la carta de usoUso del suelo y vegetación, escala 1:250000, serie V (continuo nacional). Uso de suelo y vegetación. https://doi.org/10.1088/1367-2630/9/3/048.
Kaufman, Y. J. (1993). Aerosol optical thickness and atmospheric path radiance. Journal of Geophysical Research, 98(D2), 2677–2692. https://doi.org/10.1029/92JD02427.
Kaufman, Y. J., Justice, C., Flynn, L., Kendall, J., Giglio, L., Ward, D. E., et al. (1998). The heritage for fire remote sensing. Heritage, 103, 32215–32238.
Kim, J., Yoon, S.-C., Jefferson, A., Zahorowski, W., & Kang, C.-H. (2005). Air mass characterization and source region analysis for the Gosan super-site, Korea, during the ACE-Asia 2001 field campaign. Atmospheric Environment, 39(35), 6513–6523. https://doi.org/10.1016/J.ATMOSENV.2005.07.021.
Kreidenweis, S. M., Remer, L. A., Bruintjes, R., & Dubovik, O. (2001). Smoke aerosol from biomass burning in Mexico: Hygroscopic smoke optical model. Journal of Geophysical Research-Atmospheres, 106(D5), 4831–4844. https://doi.org/10.1029/2000JD900488.
Lee, Y. S., Collins, D. R., Li, R., Bowman, K. P., & Feingold, G. (2006). Expected impact of an aged biomass burning aerosol on cloud condensation nuclei and cloud droplet concentrations. Journal of Geophysical Research-Atmospheres, 111, D22. https://doi.org/10.1029/2005JD006464.
Lin, C.-Y., Zhao, C., Liu, X., Lin, N.-H., & Chen, W.-N. (2014). Modelling of long-range transport of Southeast Asia biomass-burning aerosols to Taiwan and their radiative forcings over East Asia. Tellus Series B: Chemical and Physical Meteorology, 66(1), 23733. https://doi.org/10.3402/tellusb.v66.23733.
Lisok, J., Rozwadowska, A., Pedersen, J. G., Markowicz, K. M., Ritter, C., Kaminski, J. W., et al. (2018). Radiative impact of an extreme Arctic biomass-burning event. Atmospheric Chemistry and Physics, 18(12), 8829–8848. https://doi.org/10.5194/acp-18-8829-2018.
Liu, C., Chung, C. E., Zhang, F., & Yin, Y. (2016). The colors of biomass burning aerosols in the atmosphere. Scientific Reports, 6(1), 1–9. https://doi.org/10.1038/srep28267.
McCarty, J. L. (2011). Remote sensing-based estimates of annual and seasonal emissions from crop residue burning in the contiguous United States. Journal of the Air and Waste Management Association, 61(1), 22–34. https://doi.org/10.3155/1047-3289.61.1.22.
Molina, L. T., Kolb, C. E., de Foy, B., Lamb, B. K., Brune, W. H., Jimenez, J. L., et al. (2007). Air quality in North America’s most populous city – overview of the MCMA-2003 campaign. Atmospheric Chemistry and Physics, 7(10), 2447–2473. https://doi.org/10.5194/acp-7-2447-2007.
O’Neill, N. T., Eck, T. F., Holben, B. N., Smirnov, A., Dubovik, O., & Royer, A. (2001). Bimodal size distribution influences on the variation of angstrom derivatives in spectral and optical depth space. Journal of Geophysical Research-Atmospheres, 106(D9), 9787–9806. https://doi.org/10.1029/2000JD900245.
Penner, J. E., Dickinson, R. E., & O’Neill, C. A. (1992). Effects of aerosol from biomass burning on the global radiation budget. Science., 256(5062), 1432–1434. https://doi.org/10.1126/science.256.5062.1432.
Ramanathan, V., Crutzen, P. J., Lelieveld, J., Mitra, A. P., Althausen, D., Anderson, J., et al. (2001). Indian Ocean experiment: An integrated analysis of the climate forcing and effects of the great Indo-Asian haze. Journal of Geophysical Research-Atmospheres. https://doi.org/10.1029/2001JD900133.
Reid, J. S., Eck, T. F., Christopher, S. A., Hobbs, P. V., & Holben, B. (1999). Use of the Ångstrom exponent to estimate the variability of optical and physical properties of aging smoke particles in Brazil. Journal of Geophysical Research-Atmospheres, 104(D22), 27473–27489. https://doi.org/10.1029/1999JD900833.
Ríos, B., & Raga, G. B. (2018). Spatio-temporal distribution of burned areas by ecoregions in Mexico and Central America. International Journal of Remote Sensing, 39(4), 949–970. https://doi.org/10.1080/01431161.2017.1392641.
Ritter, C., Angeles Burgos, M., Böckmann, C., Mateos, D., Lisok, J., Markowicz, K. M., et al. (2018). Microphysical properties and radiative impact of an intense biomass burning aerosol event measured over Ny-Ålesund, Spitsbergen in July 2015. Tellus Series B: Chemical and Physical Meteorology, 70(1), 1–23. https://doi.org/10.1080/16000889.2018.1539618.
Roberts, G., Wooster, M. J., & Lagoudakis, E. (2009). Annual and diurnal african biomass burning temporal dynamics. Biogeosciences, 6(5), 849–866. https://doi.org/10.5194/bg-6-849-2009.
Roy, D. P., Jin, Y., Lewis, P. E., & Justice, C. O. (2005). Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment, 97(2), 137–162. https://doi.org/10.1016/j.rse.2005.04.007.
Salcedo, D., Onasch, T. B., Dzepina, K., Canagaratna, M. R., Zhang, Q., Huffman, J. A., et al. (2006). Characterization of ambient aerosols in Mexico City during the MCMA-2003 campaign with Aerosol mass spectrometry: Results from the CENICA supersite. Atmospheric Chemistry and Physics, 6(4), 925–946. https://doi.org/10.5194/acp-6-925-2006.
Smirnov, A., Holben, B. N., Eck, T. F., Dubovik, O., & Slutsker, I. (2000). Cloud-screening and quality control algorithms for the AERONET database. Remote Sensing of Environment, 73(3), 337–349. https://doi.org/10.1016/S0034-4257(00)00109-7.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D., & Ngan, F. (2015). Noaa’s hysplit atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society. https://doi.org/10.1175/BAMS-D-14-00110.1.
Toledano, C., Cachorro, V. E., Berjon, A., de Frutos, A. M., Sorribas, M., de la Morena, B. A., & Goloub, P. (2007). Aerosol optical depth and Ångström exponent climatology at El Arenosillo AERONET site (Huelva, Spain). Quarterly Journal of the Royal Meteorological Society, 133(624), 795–807. https://doi.org/10.1002/qj.54.
Vermote, E., Ellicott, E., Dubovik, O., Lapyonok, T., Chin, M., Giglio, L., & Roberts, G. J. (2009). An approach to estimate global biomass burning emissions of organic and black carbon from MODIS fire radiative power. Journal of Geophysical Research-Atmospheres, 114, 18. https://doi.org/10.1029/2008JD011188.
Wang, F., Chen, D. S., Cheng, S. Y., Li, J. B., Li, M. J., & Ren, Z. H. (2010). Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis. Environmental Modelling & Software, 25(8), 927–934. https://doi.org/10.1016/J.ENVSOFT.2010.02.004.
Wang, J., van den Heever, S. C., & Reid, J. S. (2009). A conceptual model for the link between central American biomass burning aerosols and severe weather over the south Central United States. Environmental Research Letters, 4(1), 015003. https://doi.org/10.1088/1748-9326/4/1/015003.
Ward, D. E., Hao, W. M., Susott, R. A., Babbitt, R. E., Shea, R. W., Kauffman, J. B., & Justice, C. O. (1996). Effect of fuel composition on combustion efficiency and emission factors for African savanna ecosystems. Journal of Geophysical Research-Atmospheres, 101(D19), 23569–23576. https://doi.org/10.1029/95JD02595.
Ward, D. E., Susott, R. A., Kauffman, J. B., Babbitt, R. E., Cummings, D. L., Dias, B., et al. (1992). Smoke and fire characteristics for cerrado and deforestation burns in Brazil: BASE-B experiment. Journal of Geophysical Research, 97(D13), 14601. https://doi.org/10.1029/92JD01218.
Warner, J., & Twomey, S. (1967). The production of cloud nuclei by cane fires and the effect on cloud droplet concentration. Journal of the Atmospheric Sciences. https://doi.org/10.1175/1520-0469(1967)024<0704:tpocnb>2.0.co;2.
Wooster, M. J., Roberts, G., Perry, G. L. W., & Kaufman, Y. J. (2005). Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release. Journal of Geophysical Research-Atmospheres, 110(24), 1–24. https://doi.org/10.1029/2005JD006318.
Yokelson, R. J., Crounse, J. D., DeCarlo, P. F., Karl, T., Urbanski, S., Atlas, E., et al. (2009). Emissions from biomass burning in the Yucatan. Atmospheric Chemistry and Physics, 9(15), 5785–5812. https://doi.org/10.5194/acp-9-5785-2009.
Yokelson, R. J., Urbanski, S. P., Atlas, E. L., Toohey, D. W., Alvarado, E. C., Crounse, J. D., et al. (2007). Emissions from forest fires near Mexico City. Atmospheric Chemistry and Physics, 7(21), 5569–5584. https://doi.org/10.5194/acp-7-5569-2007.
Acknowledgments
The authors thank B. Holben and the AERONET staff for sun-photometer calibration and support. In addition, we wish to thank Dr. Bradford Barret for reviewing this manuscript and providing editorial and grammatical guidance for the text.
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This work was supported by the UNAM-DGAPA-PAPIIT grant IA102116 (Mexico) and partial support provided by Instituto de Geofísica (UNAM) internal projects.
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Conceptualization, G.C. and B.R.; methodology, H.E.; software, B.R.; D.R and G.C.; validation, B.R.; C.F.; D.R and R.B.; formal analysis, G.C and B.R.; investigation, B.R. and G.C resources, M.V.; data curation, C.F. and B.R.; writing—original draft preparation, G.C. and B.R.; writing—review and editing, G.C. and B.R.; project administration, G.C.; funding acquisition, M.V.
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Carabalí, G., Ríos, B., Florean-Cruz, L. et al. Aerosol Optical Characteristics During the Biomass Burning Season in Southeastern Mexico. Water Air Soil Pollut 230, 241 (2019). https://doi.org/10.1007/s11270-019-4284-9
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DOI: https://doi.org/10.1007/s11270-019-4284-9