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利用光谱分析获取中尺度下坡风驱动大气环境中的频散参数。

Employing Spectral Analysis to Obtain Dispersion Parameters in an Atmospheric Environment Driven by a Mesoscale Downslope Windstorm.

机构信息

Departamento de Física, Universidade Federal de Santa Maria, Santa Maria 97105-900, RS, Brazil.

Instituto Federal Farroupilha, São Vicente do Sul 97420-000, RS, Brazil.

出版信息

Int J Environ Res Public Health. 2021 Dec 10;18(24):13027. doi: 10.3390/ijerph182413027.

DOI:10.3390/ijerph182413027
PMID:34948637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8702000/
Abstract

Considering the influence of the downslope windstorm called "Vento Norte" (VNOR; Portuguese for "North Wind") in planetary boundary layer turbulent features, a new set of turbulent parameterizations, which are to be used in atmospheric dispersion models, has been derived. Taylor's statistical diffusion theory, velocity spectra obtained at four levels (3, 6, 14, and 30 m) in a micrometeorological tower, and the energy-containing eddy scales are used to calculate neutral planetary boundary layer turbulent parameters. Vertical profile formulations of the wind velocity variances and Lagrangian decorrelation time scales are proposed, and to validate this new parameterization, it is applied in a Lagrangian Stochastic Particle Dispersion Model to simulate the Prairie Grass concentration experiments. The simulated concentration results were shown to agree with those observed.

摘要

考虑到下坡风暴“北风”(VNOR;葡萄牙语意为“北风”)对行星边界层湍流特征的影响,已经推导出了一套新的湍流参数化方案,这些方案将用于大气扩散模型。泰勒的统计扩散理论、在微气象塔四个高度(3、6、14 和 30 米)获得的速度谱以及含能涡旋尺度用于计算中性行星边界层湍流参数。提出了风速方差和拉格朗日去相关时间尺度的垂直廓线公式,并应用拉格朗日随机粒子扩散模型对草原草浓度实验进行了模拟,以验证这种新的参数化方法。模拟的浓度结果与观测结果相符。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/7756b0649ec8/ijerph-18-13027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/2f3f92ae16a0/ijerph-18-13027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/a7ddd9ff2c5e/ijerph-18-13027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/efce883d99d9/ijerph-18-13027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/e500297d8d6f/ijerph-18-13027-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/9270c284b3e4/ijerph-18-13027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/7756b0649ec8/ijerph-18-13027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/2f3f92ae16a0/ijerph-18-13027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/a7ddd9ff2c5e/ijerph-18-13027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/efce883d99d9/ijerph-18-13027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/e500297d8d6f/ijerph-18-13027-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/9270c284b3e4/ijerph-18-13027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd25/8702000/7756b0649ec8/ijerph-18-13027-g006.jpg

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