Literature DB >> 15092871

The exchange of ozone between vegetation and atmosphere: micrometeorological measurement techniques and models.

L Grünhage1, H D Haenel, H J Jäger.   

Abstract

The European critical levels (CLs) to protect vegetation are expressed as an accumulative exposure over a threshold of 40 ppb (nl l(-1)). In view of the fact that these chamber-derived CLs are based on ozone (O(3)) concentrations at the top of the canopy the correct application to ambient conditions presupposes the application of Soil-Vegetation-Atmosphere-Transfer (SVAT) models for quantifying trace gas exchange between phytosphere and atmosphere. Especially in the context of establishing control strategies based on flux-oriented dose-response relationships, O(3) flux measurements and O(3) exchange simulations are needed for representative ecosystems. During the last decades several micrometeorological methods for quantifying energy and trace gas exchange were developed, as well as models for the simulation of the exchange of trace gases between phytosphere and atmosphere near the ground. This paper is a synthesis of observational and modeling techniques which discusses measurement methods, assumptions, and limitations and current modeling approaches. Because stomatal resistance for trace gas exchange is parameterized as a function of water vapor or carbon dioxide (CO(2)) exchange, the most important micrometeorological techniques especially for quantifying O(3), water vapor and CO(2) flux densities are discussed. A comparison of simulated and measured O(3) flux densities shows good agreement in the mean.

Entities:  

Year:  2000        PMID: 15092871     DOI: 10.1016/s0269-7491(00)00041-5

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

1.  Measuring eddy covariance fluxes of ozone with a slow-response analyser.

Authors:  Georg Wohlfahrt; Lukas Hörtnagl; Albin Hammerle; Martin Graus; Armin Hansel
Journal:  Atmos Environ (1994)       Date:  2009-09-01       Impact factor: 4.798

  1 in total

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