Development and implementation of fire diurnal cycle in PREP-CHEM-SRC
DOI:
https://doi.org/10.11606/eISSN.2236-2878.rdg.2021.174236Keywords:
Biomass burning, Emissions, 3BEM_FRPAbstract
The largest fires records in the world are associated with tropical regions, which can release into the atmosphere an amount of gases and particles that can be affect directly or indirectly the climate and the air quality. This work aims to develop a methodology coupled to the 3BEM_FRP model that uses fire duration information for different types of land use and land cover for biomes of South America in order to provide information for the estimation of Fire Radiative Energy when there is absence of Fire Radiative Power data. The fires mean time for the different uses and land cover type from IGBP for America was estimated using the WFAABA / GOES product from 1997 to 2015 and implemented in the 3BEM_FRP model. PM2.5 emissions was estimated for South America during 2003-2015 using the 3BEM_FRP plus cycle (C3BEM_FRP) with the purpose to verify the biomass burning emissions spatial distribution. About 61% of biomass burning in South America lasting between 6 and 7 hours and Brazil is the country that most emits PM2.5 from biomass burning, corresponding to 58% of the emissions (2003-2020). Pará was the Brazilian state with the highest emissions associated (1.2 Tg PM2.5 year-1).
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References
BOWMAN, D. M. J. S. et al. Fire in the Earth System. Science, v. 481, n. 2009, p. 481–485, 2010.
CARMENTA, R. et al. Does the establishment of sustainable use reserves affect fire management in the humid tropics. PLoS ONE, v. 11, n. 2, p. 1–19, 2016.
CHEN, Y. et al. Long-term trends and interannual variability of forest, savanna and agricultural fires in South America. Carbon Management, v. 4, n. 6, p. 617–638, 2013.
COCHRANE, M. A. Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics. Chichester, UK: Praxis Publishing, 2009.
COCHRANE, M. A.; BARBER, C. P. Climate change, human land use and future fires in the Amazon. Global Change Biology, v. 15, n. 3, p. 601–612, 2009.
FANIN, T.; WERF, G. R. VAN DER. Relationships between burned area, forest cover loss, and land cover change in the Brazilian Amazon based on satellite data. Biogeosciences, v. 12, n. 20, p. 6033–6043, 2015.
FREITAS, S. R. et al. Emissões de queimadas em ecossistemas da América do Sul. Estudos Avançados, v. 19, n. 53, p. 167–185, 2005.
FRIEDL, M. A. et al. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing Of Environment, v. 83, p. 287–302, 2002.
GIGLIO, L. et al. The Collection 6 MODIS burned area mapping algorithm and product. Remote Sensing of Environment, v. 217, n. August, p. 72–85, 2018.
GILMAN, J. B. et al. Biomass burning emissions and potential air quality impacts of volatile organic compounds and other trace gases from fuels common in the US. Atmospheric Chemistry and Physics, v. 15, n. 24, p. 13915–13938, 2015.
HEILMAN, W. E. et al. Wildland fire emissions, carbon, and climate: Plume rise, atmospheric transport, and chemistry processes. Forest Ecology and Management, v. 317, p. 70–79, 2014.
ICHOKU, C. et al. Fire and Smoke Remote Sensing and Modeling Uncertainties: Case Studies in Northern Sub-Saharan Africa. Natural Hazard Uncertainty Assessment: Modeling and Decision Support, p. 215–230, 2016.
ICHOKU, C.; ELLISON, L. Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements. Atmospheric Chemistry and Physics, v. 14, n. 13, p. 6643–6667, 2014.
ICHOKU, C.; KAHN, R.; CHIN, M. Satellite contributions to the quantitative characterization of biomass burning for climate modeling. Atmospheric Research, v. 111, p. 1–28, 2012.
KAISER, J. W. et al. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences, v. 9, n. 1, p. 527–554, 2012.
KOLTUNOV, A.; USTIN, S. L.; PRINS, E. M. On timeliness and accuracy of wildfire detection by the GOES WF-ABBA algorithm over California during the 2006 fire season. Remote Sensing of Environment, v. 127, p. 194–209, 2012.
LEITE, M. E.; ALMEIDA, J. W. L.; SILVA, R. F. Análise espaço-temporal do eucalipto no Norte de Minas Gerais nos anos de 1986, 1996 e 2010. GeoTextos, v. 8, n. 2, p. 59–74, 2012.
LONGO, K. M. et al. The coupled aerosol and tracer transport model to the brazilian developments on the regional atmospheric modeling system (catt-brams)-part 2: Model sensitivity to the biomass burning inventories. Atmospheric Chemistry and Physics, v. 10, n. 13, p. 5785–5795, 2010.
LOVELAND, T. R.; BELWARD, A. S. The igbp-dis global 1km land cover data set, discover: First results. International Journal of Remote Sensing, v. 18, n. 15, p. 3289–3295, 1997.
MATAVELI, G. A. V. Análise da influência do ângulo de visada e do background na estimativa da potência radiativa do fogo. [s.l.] Instituto Nacional de Pesquisas Espaciais, 2014.
OLSON, D. M. et al. Terrestrial Ecoregions of the World: A New Map of Life on Earth. BioScience, v. 51, n. 11, p. 933, 2001.
PEREIRA, G. et al. Estimating trace gas and aerosol emissions over South America: Relationship between fire radiative energy released and aerosol optical depth observations. Atmospheric Environment, v. 43, n. 40, p. 6388–6397, 2009.
PEREIRA, G. et al. Estimativa e assimilação das emissões de gases traços e aerossóis de queimadas em modelos de química atmosférica. [s.l.] Instituto Nacional de Pesquisas Espaciais, 2013.
PEREIRA, G. et al. Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment. Atmospheric Chemistry and Physics, v. 16, n. 11, p. 6961–6975, 2016.
PIVELLO, V. R. The use of fire in the cerrado and Amazonian rainforests of Brazil: Past and present. Fire Ecology, v. 7, n. 1, p. 24–39, 2011.
PROSPERI, P. et al. New estimates of greenhouse gas emissions from biomass burning and peat fires using MODIS Collection 6 burned areas. Climatic Change, v. 161, n. 3, p. 415–432, 2020.
QUÉRÉ, C. LE et al. Global Carbon Budget 2015. Earth System Science Data, v. 7, n. 2, p. 349–396, 2015.
REBOITA, M. S. et al. Regimes de precipitação na América do Sul: uma revisão bibliográfica. Revista Brasileira de Meteorologia, v. 25, n. 2, p. 185–204, 2010.
REDDINGTON, C. L. et al. Air quality and human health improvements from reductions in deforestation-related fire in Brazil. Nature Geoscience, v. 8, n. 10, p. 768–771, 2015.
REID, J. S. et al. Global monitoring and forecasting of biomass-burning smoke: Description of and lessons from the fire Locating and Modeling of Burning Emissions (FLAMBE) program. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 2, n. 3, p. 144–162, 2009.
SOMMERS, W. T.; LOEHMAN, R. A.; HARDY, C. C. Wildland fire emissions, carbon, and climate: Science overview and knowledge needs. Forest Ecology and Management, v. 317, p. 1–8, 2014.
WERF, G. R. VAN DER et al. Global fire emissions estimates during 1997-2015. Earth System Science Data Discussions, n. January, p. 1–43, 2017.
WIEDINMYER, C. et al. The Fire INventory from NCAR (FINN) – a high resolution global model to estimate the emissions from open burning. Geoscientific Model Development Discussions, v. 3, n. 4, p. 2439–2476, 2010.
WOOSTER, M. J. et al. 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, v. 110, n. 24, p. 1–24, 2005.
WOOSTER, M. J.; ZHUKOV, B.; OERTEL, D. Fire radiative energy for quantitative study of biomass burning: Derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sensing of Environment, v. 86, n. 1, p. 83–107, 2003.
XU, W. et al. New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America. Remote Sensing of Environment, v. 114, n. 9, p. 1876–1895, 2010.
YOKELSON, R. J. et al. Coupling field and laboratory measurements to estimate the emission factors of identified and unidentified trace gases for prescribed fires. Atmospheric Chemistry and Physics, v. 13, n. 1, p. 89–116, 2013.
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Copyright (c) 2021 Paula Resende Santos, Gabriel Pereira, Francielle da Silva Cardozo, Guilherme Augusto Verola Mataveli
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