Thermal Stratification Effects on Turbulence and Dispersion in Internal and External Boundary Layers
A synthetic-turbulence and temperature-fluctuation-generation method is developed and embedded in large-eddy simulations to investigate the effects of weak stable stratification (i.e. Richardson number R i ≤ 1 ) on turbulence and dispersion following a simulated rural-to-urban transition. The modell...
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description | A synthetic-turbulence and temperature-fluctuation-generation method is developed and embedded in large-eddy simulations to investigate the effects of weak stable stratification (i.e. Richardson number
R
i
≤
1
) on turbulence and dispersion following a simulated rural-to-urban transition. The modelling approach is validated by comparing predictions of mean velocity, turbulent stresses, and point-source dispersion against data from a wind-tunnel experiment that simulates a stable atmospheric boundary layer (
R
i
=
0.21
) approaching a regular array of uniform rectangular blocks. The depth of the internal boundary layer (IBL) that develops from the leading edge of the block array is determined using the wall-normal turbulent stress method proposed by Sessa et al. (J Wind Eng Ind Aerodyn 182:189–291, 2018). This shows that the depth and growth rate of the IBL are sensitive to the thermal stability and the turbulence kinetic energy (TKE) prescribed at the inlet, such that the IBL depth reduces as the TKE of the inflow is reduced while maintaining the same
Ri
, or as the
Ri
is increased while maintaining the same inflow TKE. When a ground level line source is introduced it is found that increasing
Ri
evidently reduces the vertical scalar fluxes at the canopy height, while increasing the mean concentrations within the streets. Furthermore, as with IBL development it is found that for a given value of
Ri
the effect of stratification becomes more pronounced as the inflow level of TKE is reduced, affecting scalar fluxes within and above the canopy, and volume-averaged mean concentrations within the streets. |
doi_str_mv | 10.1007/s10546-020-00524-x |
format | Article |
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R
i
≤
1
) on turbulence and dispersion following a simulated rural-to-urban transition. The modelling approach is validated by comparing predictions of mean velocity, turbulent stresses, and point-source dispersion against data from a wind-tunnel experiment that simulates a stable atmospheric boundary layer (
R
i
=
0.21
) approaching a regular array of uniform rectangular blocks. The depth of the internal boundary layer (IBL) that develops from the leading edge of the block array is determined using the wall-normal turbulent stress method proposed by Sessa et al. (J Wind Eng Ind Aerodyn 182:189–291, 2018). This shows that the depth and growth rate of the IBL are sensitive to the thermal stability and the turbulence kinetic energy (TKE) prescribed at the inlet, such that the IBL depth reduces as the TKE of the inflow is reduced while maintaining the same
Ri
, or as the
Ri
is increased while maintaining the same inflow TKE. When a ground level line source is introduced it is found that increasing
Ri
evidently reduces the vertical scalar fluxes at the canopy height, while increasing the mean concentrations within the streets. Furthermore, as with IBL development it is found that for a given value of
Ri
the effect of stratification becomes more pronounced as the inflow level of TKE is reduced, affecting scalar fluxes within and above the canopy, and volume-averaged mean concentrations within the streets.</description><identifier>ISSN: 0006-8314</identifier><identifier>EISSN: 1573-1472</identifier><identifier>DOI: 10.1007/s10546-020-00524-x</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aerodynamics ; Analysis ; Arrays ; Atmospheric boundary layer ; Atmospheric models ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Boundary layers ; Canopies ; Canopy ; Computer simulation ; Depth ; Dispersion ; Earth and Environmental Science ; Earth Sciences ; Fluxes ; Ground level ; Growth rate ; Inflow ; Internal boundary layer ; Kinetic energy ; Large eddy simulation ; Large eddy simulations ; Meteorology ; Oceanic eddies ; Planetary boundary layer ; Research Article ; Richardson number ; Streets ; Thermal stability ; Thermal stratification ; Turbulence ; Water pollution ; Wind ; Wind tunnel testing ; Wind tunnels</subject><ispartof>Boundary-layer meteorology, 2020-07, Vol.176 (1), p.61-83</ispartof><rights>The Author(s) 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>The Author(s) 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-137a1c1b32076529c328a20b4c1351a26a63f42072f94e107e3e7f3f8e87e57d3</citedby><cites>FETCH-LOGICAL-c402t-137a1c1b32076529c328a20b4c1351a26a63f42072f94e107e3e7f3f8e87e57d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10546-020-00524-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10546-020-00524-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Sessa, Vincenzo</creatorcontrib><creatorcontrib>Xie, Zheng-Tong</creatorcontrib><creatorcontrib>Herring, Steven</creatorcontrib><title>Thermal Stratification Effects on Turbulence and Dispersion in Internal and External Boundary Layers</title><title>Boundary-layer meteorology</title><addtitle>Boundary-Layer Meteorol</addtitle><description>A synthetic-turbulence and temperature-fluctuation-generation method is developed and embedded in large-eddy simulations to investigate the effects of weak stable stratification (i.e. Richardson number
R
i
≤
1
) on turbulence and dispersion following a simulated rural-to-urban transition. The modelling approach is validated by comparing predictions of mean velocity, turbulent stresses, and point-source dispersion against data from a wind-tunnel experiment that simulates a stable atmospheric boundary layer (
R
i
=
0.21
) approaching a regular array of uniform rectangular blocks. The depth of the internal boundary layer (IBL) that develops from the leading edge of the block array is determined using the wall-normal turbulent stress method proposed by Sessa et al. (J Wind Eng Ind Aerodyn 182:189–291, 2018). This shows that the depth and growth rate of the IBL are sensitive to the thermal stability and the turbulence kinetic energy (TKE) prescribed at the inlet, such that the IBL depth reduces as the TKE of the inflow is reduced while maintaining the same
Ri
, or as the
Ri
is increased while maintaining the same inflow TKE. When a ground level line source is introduced it is found that increasing
Ri
evidently reduces the vertical scalar fluxes at the canopy height, while increasing the mean concentrations within the streets. Furthermore, as with IBL development it is found that for a given value of
Ri
the effect of stratification becomes more pronounced as the inflow level of TKE is reduced, affecting scalar fluxes within and above the canopy, and volume-averaged mean concentrations within the streets.</description><subject>Aerodynamics</subject><subject>Analysis</subject><subject>Arrays</subject><subject>Atmospheric boundary layer</subject><subject>Atmospheric models</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Boundary layers</subject><subject>Canopies</subject><subject>Canopy</subject><subject>Computer simulation</subject><subject>Depth</subject><subject>Dispersion</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fluxes</subject><subject>Ground level</subject><subject>Growth rate</subject><subject>Inflow</subject><subject>Internal boundary layer</subject><subject>Kinetic energy</subject><subject>Large eddy simulation</subject><subject>Large eddy simulations</subject><subject>Meteorology</subject><subject>Oceanic eddies</subject><subject>Planetary boundary layer</subject><subject>Research Article</subject><subject>Richardson number</subject><subject>Streets</subject><subject>Thermal stability</subject><subject>Thermal stratification</subject><subject>Turbulence</subject><subject>Water pollution</subject><subject>Wind</subject><subject>Wind tunnel testing</subject><subject>Wind 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Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Boundary-layer meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sessa, Vincenzo</au><au>Xie, Zheng-Tong</au><au>Herring, Steven</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Thermal Stratification Effects on Turbulence and Dispersion in Internal and External Boundary Layers</atitle><jtitle>Boundary-layer meteorology</jtitle><stitle>Boundary-Layer Meteorol</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>176</volume><issue>1</issue><spage>61</spage><epage>83</epage><pages>61-83</pages><issn>0006-8314</issn><eissn>1573-1472</eissn><abstract>A synthetic-turbulence and temperature-fluctuation-generation method is developed and embedded in large-eddy simulations to investigate the effects of weak stable stratification (i.e. Richardson number
R
i
≤
1
) on turbulence and dispersion following a simulated rural-to-urban transition. The modelling approach is validated by comparing predictions of mean velocity, turbulent stresses, and point-source dispersion against data from a wind-tunnel experiment that simulates a stable atmospheric boundary layer (
R
i
=
0.21
) approaching a regular array of uniform rectangular blocks. The depth of the internal boundary layer (IBL) that develops from the leading edge of the block array is determined using the wall-normal turbulent stress method proposed by Sessa et al. (J Wind Eng Ind Aerodyn 182:189–291, 2018). This shows that the depth and growth rate of the IBL are sensitive to the thermal stability and the turbulence kinetic energy (TKE) prescribed at the inlet, such that the IBL depth reduces as the TKE of the inflow is reduced while maintaining the same
Ri
, or as the
Ri
is increased while maintaining the same inflow TKE. When a ground level line source is introduced it is found that increasing
Ri
evidently reduces the vertical scalar fluxes at the canopy height, while increasing the mean concentrations within the streets. Furthermore, as with IBL development it is found that for a given value of
Ri
the effect of stratification becomes more pronounced as the inflow level of TKE is reduced, affecting scalar fluxes within and above the canopy, and volume-averaged mean concentrations within the streets.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10546-020-00524-x</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aerodynamics Analysis Arrays Atmospheric boundary layer Atmospheric models Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Boundary layers Canopies Canopy Computer simulation Depth Dispersion Earth and Environmental Science Earth Sciences Fluxes Ground level Growth rate Inflow Internal boundary layer Kinetic energy Large eddy simulation Large eddy simulations Meteorology Oceanic eddies Planetary boundary layer Research Article Richardson number Streets Thermal stability Thermal stratification Turbulence Water pollution Wind Wind tunnel testing Wind tunnels |
title | Thermal Stratification Effects on Turbulence and Dispersion in Internal and External Boundary Layers |
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