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Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux
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 em...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405760/ https://www.ncbi.nlm.nih.gov/pubmed/30846835 http://dx.doi.org/10.1038/s41598-019-40491-z |
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author | Fu, Lin-Tao |
author_facet | Fu, Lin-Tao |
author_sort | Fu, Lin-Tao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6405760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64057602019-03-11 Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux Fu, Lin-Tao Sci Rep Article 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. Nature Publishing Group UK 2019-03-07 /pmc/articles/PMC6405760/ /pubmed/30846835 http://dx.doi.org/10.1038/s41598-019-40491-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fu, Lin-Tao Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
title | Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
title_full | Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
title_fullStr | Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
title_full_unstemmed | Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
title_short | Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
title_sort | comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405760/ https://www.ncbi.nlm.nih.gov/pubmed/30846835 http://dx.doi.org/10.1038/s41598-019-40491-z |
work_keys_str_mv | AT fulintao comparisonssuggestmoreeffortsarerequiredtoparameterizewindflowaroundshrubvegetationelementsforpredictingaeolianflux |