Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis

Atmospheric emissions from wildfires in Portugal were estimated yearly over the period 1990–2008 using Landsat-based burnt area maps and land cover maps, national forest inventory data, biometric models, and literature review data. Emissions were calculated as the product of area burnt, biomass load...

Full description

Bibliographic Details
Main Authors: I. M. D. Rosa, J. M. C. Pereira, S. Tarantola
Format: Article
Language:English
Published: Copernicus Publications 2011-03-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/11/2625/2011/acp-11-2625-2011.pdf
id doaj-de54023a454e4a7fb32b4ca9c9f732a4
record_format Article
spelling doaj-de54023a454e4a7fb32b4ca9c9f732a42020-11-25T00:09:33ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242011-03-011162625264010.5194/acp-11-2625-2011Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysisI. M. D. RosaJ. M. C. PereiraS. TarantolaAtmospheric emissions from wildfires in Portugal were estimated yearly over the period 1990–2008 using Landsat-based burnt area maps and land cover maps, national forest inventory data, biometric models, and literature review data. Emissions were calculated as the product of area burnt, biomass loading per unit area, combustion factor, and emission factor, using land cover specific values for all variables. Uncertainty associated with each input variable was quantified with a probability density function or a standard deviation value. Uncertainty and sensitivity analysis of estimates were performed with Monte Carlo and variance decomposition techniques. Area burnt varied almost 50-fold during the study period, from about 9000 ha in 2008 to 440 000 ha in 2003. Emissions reach maximum and minimum in the same years, with carbon dioxide equivalent (CO<sub>2eq.</sub>) values of 159 and 5655 Gg for 2008 and 2003, respectively. Emission factors, and the combustion factor for shrubs were identified as the variables with higher impact on model output variance. There is a very strong correlation between area burnt and emissions, allowing for good emissions estimates once area burnt is quantified. Pyrogenic emissions were compared against those from various economy sectors and found to represent 1% to 9% of the total.http://www.atmos-chem-phys.net/11/2625/2011/acp-11-2625-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author I. M. D. Rosa
J. M. C. Pereira
S. Tarantola
spellingShingle I. M. D. Rosa
J. M. C. Pereira
S. Tarantola
Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
Atmospheric Chemistry and Physics
author_facet I. M. D. Rosa
J. M. C. Pereira
S. Tarantola
author_sort I. M. D. Rosa
title Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
title_short Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
title_full Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
title_fullStr Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
title_full_unstemmed Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
title_sort atmospheric emissions from vegetation fires in portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2011-03-01
description Atmospheric emissions from wildfires in Portugal were estimated yearly over the period 1990–2008 using Landsat-based burnt area maps and land cover maps, national forest inventory data, biometric models, and literature review data. Emissions were calculated as the product of area burnt, biomass loading per unit area, combustion factor, and emission factor, using land cover specific values for all variables. Uncertainty associated with each input variable was quantified with a probability density function or a standard deviation value. Uncertainty and sensitivity analysis of estimates were performed with Monte Carlo and variance decomposition techniques. Area burnt varied almost 50-fold during the study period, from about 9000 ha in 2008 to 440 000 ha in 2003. Emissions reach maximum and minimum in the same years, with carbon dioxide equivalent (CO<sub>2eq.</sub>) values of 159 and 5655 Gg for 2008 and 2003, respectively. Emission factors, and the combustion factor for shrubs were identified as the variables with higher impact on model output variance. There is a very strong correlation between area burnt and emissions, allowing for good emissions estimates once area burnt is quantified. Pyrogenic emissions were compared against those from various economy sectors and found to represent 1% to 9% of the total.
url http://www.atmos-chem-phys.net/11/2625/2011/acp-11-2625-2011.pdf
work_keys_str_mv AT imdrosa atmosphericemissionsfromvegetationfiresinportugal19902008estimatesuncertaintyanalysisandsensitivityanalysis
AT jmcpereira atmosphericemissionsfromvegetationfiresinportugal19902008estimatesuncertaintyanalysisandsensitivityanalysis
AT starantola atmosphericemissionsfromvegetationfiresinportugal19902008estimatesuncertaintyanalysisandsensitivityanalysis
_version_ 1725411244349849600