ESTIMATION OF CO2 EMISSION FROM FOREST FIRE : CASES RIAU FOREST IN INDONESIA Lilik Slamet S, Sinta B - PowerPoint PPT Presentation

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ESTIMATION OF CO2 EMISSION FROM FOREST FIRE : CASES RIAU FOREST IN INDONESIA Lilik Slamet S, Sinta B

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Title: ESTIMATION OF CO2 EMISSION FROM FOREST FIRE : CASES RIAU FOREST IN INDONESIA Lilik Slamet S, Sinta B


1
ESTIMATION OF CO2 EMISSION FROM FOREST FIRE
CASES RIAU FOREST IN INDONESIALilik Slamet S,
Sinta Berliana Sipayung, Agung HaryantoCentre
for Application Atmosphere Science And
ClimateNational Institute Of Aeronautics And
Space
2
Background
  • -The forest in Indonesia was the source of the
    biological diversity and sperm plasma so as love
    if burnt.
  • -Forest fire always happened every year.
  • -Forest fire had a bad impact on the side of
    economics and environment.
  • -Forest fire released many CO2 to the atmosphere
    as greenhouse gases that could influence the
    climate global.
  • -Grating instrumentation CO2 from forest fire
    that not yet equitable was installed in every
    forest.
  • -Indonesia as peratifikasi Kyoto Protocol was to
    have to know definitely the number CO2 that was
    produced forest fire for the bargaining position
    in the carbon trading

3
Location Study
4
Data
  • -Month rainfall
  • -Month temperature
  • -Vegetation Index from NOAA satelite
  • -Month Intensity Solar Radiation
  • -Soil water on maximum capacity

5
Flowchart
6
Type of fire affecting vegetation
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Conclusion
  • Results of the estimation of emissions CO2 from
    forest fire for each fire kind was to be
    different
  • The equation fAPAR that possibly was used for the
    estimation of the forest region in Indonesia was
    from Ochi et al (1997), because of being results
    of the research in the forest region in Asia and
    for all the vegetation kinds
  • emissions CO2 for the Riau location was produced
    2246,96 g/m2 for surface fire, 631,08 g CO2/m2
    for canopy fire, and 529,59 g CO2/m2 for ground
    fire
  • These results still must validation with the
    observation data

13
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