Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux
| Autor: | Lin-Tao Fu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Multidisciplinary lcsh:R Airflow lcsh:Medicine Atmospheric sciences Empirical distribution function Article Wind speed Physics::Geophysics 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Flux (metallurgy) Distribution function Saltation (geology) Environmental science Aeolian processes lcsh:Q Aeolian landform Astrophysics::Earth and Planetary Astrophysics lcsh:Science 030217 neurology & neurosurgery |
| Zdroj: | Scientific Reports Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019) |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-019-40491-z |
| Popis: | Upon interacting with the atmosphere, vegetation could alter the wind distribution and consequently the erodibility of nearby region. The parameterization of wind distribution around vegetation is crucial for the prediction of surface aeolian flux. This paper compared the performances of existing empirical distribution models in the estimation of aeolian flux for shrub vegetation, focusing on distribution pattern and vegetation porosity (main parameter of distribution function). Predicted dust fluxes directly entrained by air flow show weak sensitivity to both distribution pattern and porosity in the case of low vegetation density, which suggests some aspects in dust forecast models might be simplified. However, both distribution pattern and porosity show significant effect on sand saltation transport rate in the lee of vegetation element and, consequently, on the formation and evolution of surface aeolian landforms. The contribution of dust fluxes released in wind increase zone to the total emission by using current parameterizations increases with both the decrease of wind speed and the increase of vegetation density. Nevertheless, the parameterization of wind increase zone needs to be validated and improved by further experimental and numerical investigations. |
| Databáze: | OpenAIRE |
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