On the Effect of Applying Mean Input Data in Long-Term Air Pollution Transport Models

Lehmann R (1990). On the Effect of Applying Mean Input Data in Long-Term Air Pollution Transport Models. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-90-026


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The effect of applying mean (i.e. temporally and spatially averaged) input data (removal coefficients, wind velocity, travel distance between source and receptor) in a long-term model of the transport of heavy metals (especially As) in Europe's atmosphere has been investigated by running modified versions of this model. At 5 receptors considered in this study, the application of mean removal coefficients in the model resulted in an underprediction of concentration values and dry deposition, being approximately 0.75 times the original values, and an overestimation of wet deposition by a factor of approximately 1.5. The assumption of a straight travel of pollutants between a source and some receptor brings about an overestimation of concentration and deposition by a factor of approximately 1.2. The application of a mean wind velocity changed results only slightly. All occurring effects have also been investigated theoretically, so that assertions and formulae which are independent of the special model under consideration have been obtained.

Item Type: Monograph (IIASA Working Paper)
Research Programs: Environment Program (ENV)
Transboundary Air Pollution (TAP)
Transboundary Air Pollution (TAP)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:00
Last Modified: 13 Mar 2018 17:30
URI: http://pure.iiasa.ac.at/3425

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