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Article: Turbulent flow modification in the atmospheric surface layer over a dense city

TitleTurbulent flow modification in the atmospheric surface layer over a dense city
Authors
KeywordsAtmospheric surface layer (ASL)
Turbulence structure
Urban canopy layer (UCL)
Urban morphology
Wake effect
Wind parameterization
Issue Date8-Nov-2023
PublisherElsevier
Citation
Science of the Total Environment, 2024, v. 909 How to Cite?
Abstract

Winds in the atmospheric surface layer (ASL) over distinctive urban morphology are investigated by building resolved large-eddy simulation (LES). The exponential law is applied to urban canopy layers (UCLs) unprecedentedly to parameterize vertical profiles of mean-wind-speed 〈u〉|z and examine the  influence of morphological factors. The skewness of streamwise velocity Su is peaked at the zero-plane displacement d (drag center) where flows decelerate mostly. The dynamics and intermittency in roughness sublayers (RSLs) are further contrasted. It helps determine the critical strength of the organized structures (ejection, Q2 and sweep Q4) in their contributions to the average momentum transport (i.e., 3<u”w”> to 5<u”w”>). Two key factors of the local-scale dynamics are revealed - building heterogeneity and upstream giant wakes that could amplify turbulence kinetic energy (TKE) and energetic intermittent Q4 by different mechanisms. The former is conductive for large eddy generation that promotes vertical fluctuating velocity w”, stimulating intermittent, energetic Q2 and Q4. The latter, whose footprints are identified by the two-point correlation of streamwise velocity Ruu with specific size and inclination, facilitates intermittent, fast streamwise fluctuating velocity u”, forming vigorous Q4. Nevertheless, excessive planar density λp (≈ 0.7) is detrimental to both transport processes. These findings contribute to the theoretical and empirical wall models of large-scale roughness that help urban planners and policymakers to improve air quality.


Persistent Identifierhttp://hdl.handle.net/10722/339911
ISSN
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 1.998
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYao, Lan-
dc.contributor.authorLiu, Chun-Ho-
dc.contributor.authorBrasseur, Guy P-
dc.contributor.authorChao, Christopher YH-
dc.date.accessioned2024-03-11T10:40:15Z-
dc.date.available2024-03-11T10:40:15Z-
dc.date.issued2023-11-08-
dc.identifier.citationScience of the Total Environment, 2024, v. 909-
dc.identifier.issn0048-9697-
dc.identifier.urihttp://hdl.handle.net/10722/339911-
dc.description.abstract<p>Winds in the atmospheric surface layer (ASL) over distinctive urban morphology are investigated by building resolved large-eddy simulation (LES). The exponential law is applied to urban canopy layers (UCLs) unprecedentedly to parameterize vertical profiles of mean-wind-speed 〈<em>u</em>〉|<sub>z</sub> and examine the  influence of morphological factors. The skewness of streamwise velocity <em>S<sub>u</sub></em> is peaked at the zero-plane displacement <em>d</em> (drag center) where flows decelerate mostly. The dynamics and intermittency in roughness sublayers (RSLs) are further contrasted. It helps determine the critical strength of the organized structures (ejection, Q2 and sweep Q4) in their contributions to the average momentum transport (i.e., 3<<em>u”w”</em>> to 5<<em>u”w”</em>>). Two key factors of the local-scale dynamics are revealed - building heterogeneity and upstream giant wakes that could amplify turbulence kinetic energy (TKE) and energetic intermittent Q4 by different mechanisms. The former is conductive for large eddy generation that promotes vertical fluctuating velocity <em>w”</em>, stimulating intermittent, energetic Q2 and Q4. The latter, whose footprints are identified by the two-point correlation of streamwise velocity Ruu with specific size and inclination, facilitates intermittent, fast streamwise fluctuating velocity <em>u”</em>, forming vigorous Q4. Nevertheless, excessive planar density <em>λ<sub>p</sub></em> (≈ 0.7) is detrimental to both transport processes. These findings contribute to the theoretical and empirical wall models of large-scale roughness that help urban planners and policymakers to improve air quality.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofScience of the Total Environment-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAtmospheric surface layer (ASL)-
dc.subjectTurbulence structure-
dc.subjectUrban canopy layer (UCL)-
dc.subjectUrban morphology-
dc.subjectWake effect-
dc.subjectWind parameterization-
dc.titleTurbulent flow modification in the atmospheric surface layer over a dense city-
dc.typeArticle-
dc.identifier.doi10.1016/j.scitotenv.2023.168315-
dc.identifier.scopuseid_2-s2.0-85177078058-
dc.identifier.volume909-
dc.identifier.eissn1879-1026-
dc.identifier.isiWOS:001146982500001-
dc.identifier.issnl0048-9697-

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