Abstract
Experimental studies and mesoscale modeling of atmospheric chemistry require a good knowledge of the sources of the atmospheric constituent, at a temporal scale of about one hour and at a spatial scale corresponding to the model grid. A combined remote sensing/modeling approach for the estimation of the diurnal distribution of the amount of biomass burning in Central African Republic (C.A.R.) savanna fires is proposed. The fire propagation model (BEHAVE) developed by Rothermel was adapted to the fuel characteristics encountered in C.A.R. Ground and airborne measurements with satellite images (NOAA/AVHRR) were used to predict an accurate estimate of the burnt biomass. This combination allows the calculation of the distribution of the number of fires during the day providing an evaluation of the instantaneous fluxes of the compounds emitted in the atmosphere by these fires.
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References
Andreae, M. O., 1991: Its history, use, and distribution and its impact on environmental quality and global climate, in: J. S., Levine (ed.), Global Biomass Burning: Atmospheric, Climate and Biospheric Implications, MIT Press, Cambridge, pp. 3–21.
Andrews, P. L., 1986: BEHAVE: Fire behavior prediction and fuel modeling system-Burn subsystem, Part 1, USDA, Forest Service, General Technical Report INT-194.
Andrews, P. L. and Chase, C. H., 1989: BEHAVE: Fire behavior prediction and fuel modeling system-Burn subsystem, Part 2, USDA, Forest Service, General Technical Report INT-260.
Albini, F. A., 1976: Estimating wildfire behavior and effects, USDA Forest Service, Gen. Tech. Rep. INT-30.
Blasco, F. and Achard, F., 1990: Analysis of vegetation changes using satellite data, in: Bouwman (ed.), Soils and Greenhouse Effect, Wiley New York, pp. 61–127.
Bonsang, B., Boissard, C., Le, Cloarec, M. F., Rudolph, J., and Lacaux, J. P., 1995: Methane, carbon monoxide and light non-methane hydrocarbon emissions from African savanna burnings during the FOS/DECAFE Experiment, J. Atmos. Chem. 22, 149–162.
Brustet, J. M., Vickos, J-B., Fontan, J., Podaire, A., and Lavenu, F., 1991: Characterization of active fires in West African savannas by analysis of satellite data (Landsat Thematic Mapper), in J. S., Levine (ed.), Global Biomass Burning, MIT Press, Cambridge.
Burgan, R. E. and Rothermel, R. C., 1984: BEHAVE: Fire behavior prediction and fuel modeling system. Fuel subsystem, USDA Forest Service, General Technical Report INT-167.
Delmas, R., Lacaux, J-P., Menaut, J-C., Abbadie, L., Le, Roux, X., Helas, G., and Lobert, J., 1995a: Nitrogen compound emission from biomass burning in tropical African savanna, FOS/DECAFE 91 Experiment (Lamto, Ivory Coast), J. Atmos. Chem. 22, 175–193.
Delmas, R., Lacaux, J-P., Cros, B., Zimmerman, P., Brasseur, G., Malingreau, J-P., Gregoire, J-M., Andreae, M. O., and Meixner, F., 1995b: Overview of the EXPRESSO project, in: J. S., Levine (ed.), Global Biomass Burning, MIT Press, Cambridge, in press.
Dozier, J., 1981. A method for satellite identification of surface temperature fields of subpixel resolution, Remote Sensing Environ. 11, 221–229.
Everson, T. M., van, Wilgen, B. W., and Everson, C. S., 1988: Adaptation of a model for rating fire danger in the Natal Drakensberg, S. Afr. J. Sci. 84, 44–49.
Flanningan, M. D. and Vonder, Haar, T. H., 1986: Forest fire monitoring using NOAA satellite AVHRR, Canad. J. Forest Res. 16, 975–982.
Franca, J. R., 1994: Télédétection satellitaire des feux de végétation en Afrique intertropicale- Application à l'estimation des flux des composés en trace émis dans l'atmosphère, Thèse Université Paul Sabatier, 215 p., Laboratoire d'Aérologie, Toulouse, France.
Frandsen, W. H., 1971. Fire spread through porous fuels from the conservation of energy, Combustion and Flame 16, 9–16.
Grégoire, J. M., Flasse, S., et Malingreau, J-P., 1988: Evaluation de l'action des feux de brousse de novembre 1987 à février 1988 dans la région frontalière Guinée-Sierra Leone, Exploitation des images NOAA-AVHRR, Rapport CCR S.P.I. 88.39, Octobre.
Hao, W. M., Liu, M. H., and Crutzen, P. J., 1990: Estimates of annual and regional releases of CO2 and other trace gases to the atmosphere from fires in the tropics, based on FAO statistics for the period 1975–1980, in J. G., Goldammer (ed.), Fire in Tropical Biota, Springer-Verlag, New York, pp. 440–462.
Hao, W. M. and Liu, M. H., 1994: Spatial and temporal distribution of tropical biomass burning, Global Biogeochem. Cycles 8(4), 495–503.
Kaufman, Y. J., Tucker, C. J., and Fung, I., 1990: Remote sensing of biomass burning in tropics, J. Geophys. Res. 95, 9927–9939.
Kennedy, P. J., Belward, A. S., and Grégoire, J. M., 1994: An improved approach to fire monitoring in West Africa using AVHRR data, Int. J. Remote Sensing 15(11), 2235–2255.
Malingreau, J. P., Stephens, G., and Fellows, L., 1985: Remote sensing of forest fires: Kalimantan and North Borneo in 1982–1983, Ambio 4(6), 314–321.
Malingreau, J. P., and Tucker, C. J., 1987: The contribution of AVHRR data for measuring and understanding global processes: Large-scale Deforestation in the Amazon Basin, International Geoscience And Remote Sensing Symposium, IGARSS, Proceedings ANN ARBOR, Michigan, May, 18–21, pp. 443–448.
Matson, M., Schneider, Sr., Aldrige, Sr., and Satwell, B., 1984: Fire detection using the National Oceanic and Atmospheric Administration Series Satellites, National Environment Satellite, data and information service, Washington, DC.
Matson, M. and Stephens, G., 1985: Fire detection using NOAA polar-orbiting satellite data: Proceedings of the 10th William T. Pecora Memorial Symposium, Remote Sensing in Forest and Range Resource Management, Fort Collins, Colorado, August 20–22, pp. 445–446.
Matson, M., and Stephens, G., 1986: Regional and global fire detection using NOAA satellite data, Proceedings of 1st Australian AVHRR conference, Perth, Australia, October 22–24, pp. 201–209, CSIRO, Division of groundwater research, Perth, Australia 6014.
Matson, M. Stephens, G., and Robinson, J., 1987: Fire detection using data from NOAA-N satellite, Int. J. Remote Sensing 7, 961–970.
Menaut, J. C. and Cesar, J., 1979: Structure and primary productivity of Lamto savannas, Ivory Coast, Ecology 60, 1197–1210.
Menaut, J. C., Lavenu, F., Loudjani, P., and Podaire, A., 1991: Biomass burning in West African savannas, in J. S. Levine (ed.), Global Biomass Burning, MIT-Press, pp. 133–143.
Pereira, M. C. and Setzer, A. W., 1993: Spectral characteristics of deforestation fires in NOAA-AVHRR images, Int. J. Remote Sensing 14(3), 583–597.
Rothermel, R. C., 1972: A mathematical model for predicting fire spread in wildland fuels, USDA Forest Service, Research Paper INT-115.
Rothermel, R. C., 1983. How to predict the spread and intensity of forest and range fires, Intermountain forest and range experiment station, Ogden Utah, USDA Forest Service, Gen. Tech. Rep. INT-143.
Schroeder, M. J., 1969: Ignition Probability, Fort Collins, CO: USDA Forest Service, Rocky Mountain Forest and Range Experiment Station. Unpublished report.
Seiler, W. and Crutzen, P. J., 1980: Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning, Climate Change 2, 207–247.
Setzer, A. W. and Malingreau, J. P., 1993: Temporal variation in the detection limit of fires in AVHRR's CH3, 6 TH AVHRR data, User's Meeting, Proceedings EUMP-12, Belgirate, Italy, 29th June–2th July, pp. 575–579.
Sneeuwjagt, R. J. and Frandsen, W. H., 1977: Behaviour of experimental grass fires vs. predictions based on Rothermel's fire model. Can. J. Forest Res. 7, 357–367.
Van, Wilgen, B. W., Le, Maitre, D. C., and Kruger, F. J., 1985: Fire behaviour in South African fynbos (macchia) vegetation and predictions from Rothermel's fire model, J. Appl. Ecol. 22, 207–216.
Vickos, J. B., 1991: Télédétection des feux de végétation en Afrique intertropicale et estimation des émissions de constituants ayant un intérêt atmosphérique, Thèse Université Paul Sabatier, Laboratoire d' Aérologie, Toulouse, France.
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Moula, M., Brustet, J.M. & Fontan, J. Remote sensing-modelisation approach for diurnal estimation of burnt biomass in the Central African Republic Savanna. J Atmos Chem 25, 1–19 (1996). https://doi.org/10.1007/BF00053283
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DOI: https://doi.org/10.1007/BF00053283