Objective
To measure, quantify and validate biogenic VOC emissions and to assess their importance for ozone formation in Northern
The project addresses the issue of emissions of Biogenic Volatile Organic Compounds, their quantification,
mechanisms and contribution to tropospheric chemistry. Partners from Finland, Germany and Sweden shall
carry out a wide range of emission and concentration measurements at different scales in the northern parts of
Europe (Finland and Sweden) as well as develop and run different models for the interpretation of these data.
The emission intensity measurements will be performed at both leaf and canopy level. These data are used in
developing emission algorithms and canopy modelling. Ambient air measurements will allow an inverse
assessment of the regional biogenic emissions and a comparison of the contribution of biogenic and
anthropogenic VOC species to the formation of oxidants. Current chemical modules will also be compared and
tested with these data. BVOC emissions will be related to the vegetative structure at canopy scale using detailed
forest information (i.a. satellite landuse data). A European wide photochemical model will be used to study
ozone formation from biogenic and anthropogenic VOC emissions. The project products will be: emission
algorithms and emission factors for a wide range of boreal vegetation species; validation of VOC emission
calculations by canopy and regional scale measurements; parameters characterising boreal forest and biomass
which are easily usable in emission inventories; a canopy model suitable for emission inventory applications;
an assessment of the contribution of biogenic VOC emissions on photochemical pollution; an evaluation of
photochemical modules that includes biogenic species.
Particular emphasis will be on emission factors from coniferous and deciduous trees, lichens and ground flora.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesmicrobiologymycologyethnolichenology
- natural scienceschemical sciencesorganic chemistryvolatile organic compounds
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural scienceschemical sciencesphysical chemistryphotochemistry
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
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Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
00810 HELSINKI
Finland