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Article: Near-field dynamics and plume dispersion after an on-road truck: Implication to remote sensing

TitleNear-field dynamics and plume dispersion after an on-road truck: Implication to remote sensing
Authors
KeywordsDispersion models
Heavy-duty truck
Large-eddy simulation (LES)
Remote sensing technology
Sampling inaccuracy
Issue Date2020
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv
Citation
Science of the Total Environment, 2020, v. 748, p. article no. 141211 How to Cite?
AbstractApart from the aerodynamic performance (efficiency and safety), the wake after an on-road vehicle substantially influences the tailpipe pollutant dispersion (environment). Remote sensing is the most practicable measures for large-scale emission control. Its reliability, however, is largely dictated by how well the complicated vehicular flows and instrumentation constraint are tackled. Specifically, the broad range of motion scales and the short sampling duration (less than 1 s) are the most prominent ones. Their impact on remote sensing has not been studied. Large-eddy simulation (LES) is thus employed in this paper to look into the dynamics and the plume dispersion after an on-road heavy-duty truck at speed U∞ so as to elucidate the transport mechanism, examine the sampling uncertainty and develop the remedial measures. A major recirculation of size comparable to the truck height h is induced collectively by the roof-level prevailing flows, side entrainment and underbody wall jet. The tailpipe is enclosed by dividing streamlines so the plume is carried back to the truck right after emission. The recirculation augments the pollutant mixing, resulting in a more homogeneous pollutant distribution together with a rather high fluctuating concentration (over 20% of the time-averaged concentrations). The plume ascends mildly before being purged out of the major recirculation to the far field by turbulence, leading to a huge reduction in pollutant concentration (an order of magnitude) outside the near wake. In the far-field, the plume is higher than the tailpipe and disperses in a conventional Gaussian distribution manner. Under this circumstance, a sampling duration for remote sensing longer than h/U∞ would be prone to underestimating the tailpipe emission.
Persistent Identifierhttp://hdl.handle.net/10722/289372
ISSN
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 1.998
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXIE, J-
dc.contributor.authorLiu, CH-
dc.contributor.authorMo, Z-
dc.contributor.authorHuang, Y-
dc.contributor.authorMok, WC-
dc.date.accessioned2020-10-22T08:11:42Z-
dc.date.available2020-10-22T08:11:42Z-
dc.date.issued2020-
dc.identifier.citationScience of the Total Environment, 2020, v. 748, p. article no. 141211-
dc.identifier.issn0048-9697-
dc.identifier.urihttp://hdl.handle.net/10722/289372-
dc.description.abstractApart from the aerodynamic performance (efficiency and safety), the wake after an on-road vehicle substantially influences the tailpipe pollutant dispersion (environment). Remote sensing is the most practicable measures for large-scale emission control. Its reliability, however, is largely dictated by how well the complicated vehicular flows and instrumentation constraint are tackled. Specifically, the broad range of motion scales and the short sampling duration (less than 1 s) are the most prominent ones. Their impact on remote sensing has not been studied. Large-eddy simulation (LES) is thus employed in this paper to look into the dynamics and the plume dispersion after an on-road heavy-duty truck at speed U∞ so as to elucidate the transport mechanism, examine the sampling uncertainty and develop the remedial measures. A major recirculation of size comparable to the truck height h is induced collectively by the roof-level prevailing flows, side entrainment and underbody wall jet. The tailpipe is enclosed by dividing streamlines so the plume is carried back to the truck right after emission. The recirculation augments the pollutant mixing, resulting in a more homogeneous pollutant distribution together with a rather high fluctuating concentration (over 20% of the time-averaged concentrations). The plume ascends mildly before being purged out of the major recirculation to the far field by turbulence, leading to a huge reduction in pollutant concentration (an order of magnitude) outside the near wake. In the far-field, the plume is higher than the tailpipe and disperses in a conventional Gaussian distribution manner. Under this circumstance, a sampling duration for remote sensing longer than h/U∞ would be prone to underestimating the tailpipe emission.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv-
dc.relation.ispartofScience of the Total Environment-
dc.subjectDispersion models-
dc.subjectHeavy-duty truck-
dc.subjectLarge-eddy simulation (LES)-
dc.subjectRemote sensing technology-
dc.subjectSampling inaccuracy-
dc.titleNear-field dynamics and plume dispersion after an on-road truck: Implication to remote sensing-
dc.typeArticle-
dc.identifier.emailLiu, CH: chliu@hkucc.hku.hk-
dc.identifier.emailMo, Z: zwmo@hku.hk-
dc.identifier.emailMok, WC: wcmok@hku.hk-
dc.identifier.authorityLiu, CH=rp00152-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.scitotenv.2020.141211-
dc.identifier.pmid32814285-
dc.identifier.scopuseid_2-s2.0-85089398906-
dc.identifier.hkuros317549-
dc.identifier.volume748-
dc.identifier.spagearticle no. 141211-
dc.identifier.epagearticle no. 141211-
dc.identifier.isiWOS:000581049800021-
dc.publisher.placeNetherlands-
dc.identifier.issnl0048-9697-

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