File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Emission Characteristics and Control Scenario Analysis Of VOCs from Heavy-duty Diesel Trucks

TitleEmission Characteristics and Control Scenario Analysis Of VOCs from Heavy-duty Diesel Trucks
Authors
KeywordsVolatile organic compound emission
Scenario analysis
Heavy-duty diesel truck
Spatiotemporal pattern
Issue Date2021
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jenvman
Citation
Journal of Environmental Management, 2021, v. 293, p. article no. 112915 How to Cite?
AbstractVehicle exhaust substantially contributes to ambient volatile organic compounds (VOCs) that imperil environmental and human health. The quantitative characterization of VOCs derived from heavy-duty diesel trucks (HDDTs) at a high spatiotemporal resolution is an important prerequisite of atmospheric quality management. However, there is little knowledge about VOC emission characteristics and accurate control policies of HDDTs owing to limited fine-grained traffic activity data. To fill this gap, this research aims to construct a link-level and hourly-based VOC emission inventory of HDDTs by combining fine-grained trajectory data, detailed vehicle specification information, localized emission factors, and underlying geographic information. The emission reduction potentials of different emission control scenarios were also evaluated. The research was conducted in Hebei Province, a predominant heavy industrial province in China. The results demonstrated that HDDTs with China 3 and below emission standards contributed to 74.85% of the HDDT generated VOC emissions, although they only accounted for 25.43% of the HDDTs operating on the road networks. The VOC emission characteristics of HDDTs were further explored at various temporal and spatial scales. Temporally, the difference between the maximum and minimum hourly VOC emissions reached 29.19%, and daily emission changes were considerably affected by holidays. Spatially, road segments with higher emission intensities and statistically significant emission hot spots were primarily distributed in intercity highways and national freeways, reflecting the contribution of high freight activity to the VOC emissions. Emission control scenario simulations demonstrated that improving HDDT emission standards can reduce VOC emissions by up to 80.06%. The results of this study contribute to a deeper understanding of the spatiotemporal patterns of VOC emissions from HDDTs and the effectiveness of emission reduction measures.
Persistent Identifierhttp://hdl.handle.net/10722/302506
ISSN
2023 Impact Factor: 8.0
2023 SCImago Journal Rankings: 1.771
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCheng, S-
dc.contributor.authorLu, F-
dc.contributor.authorPeng, P-
dc.contributor.authorZheng, J-
dc.date.accessioned2021-09-06T03:33:17Z-
dc.date.available2021-09-06T03:33:17Z-
dc.date.issued2021-
dc.identifier.citationJournal of Environmental Management, 2021, v. 293, p. article no. 112915-
dc.identifier.issn0301-4797-
dc.identifier.urihttp://hdl.handle.net/10722/302506-
dc.description.abstractVehicle exhaust substantially contributes to ambient volatile organic compounds (VOCs) that imperil environmental and human health. The quantitative characterization of VOCs derived from heavy-duty diesel trucks (HDDTs) at a high spatiotemporal resolution is an important prerequisite of atmospheric quality management. However, there is little knowledge about VOC emission characteristics and accurate control policies of HDDTs owing to limited fine-grained traffic activity data. To fill this gap, this research aims to construct a link-level and hourly-based VOC emission inventory of HDDTs by combining fine-grained trajectory data, detailed vehicle specification information, localized emission factors, and underlying geographic information. The emission reduction potentials of different emission control scenarios were also evaluated. The research was conducted in Hebei Province, a predominant heavy industrial province in China. The results demonstrated that HDDTs with China 3 and below emission standards contributed to 74.85% of the HDDT generated VOC emissions, although they only accounted for 25.43% of the HDDTs operating on the road networks. The VOC emission characteristics of HDDTs were further explored at various temporal and spatial scales. Temporally, the difference between the maximum and minimum hourly VOC emissions reached 29.19%, and daily emission changes were considerably affected by holidays. Spatially, road segments with higher emission intensities and statistically significant emission hot spots were primarily distributed in intercity highways and national freeways, reflecting the contribution of high freight activity to the VOC emissions. Emission control scenario simulations demonstrated that improving HDDT emission standards can reduce VOC emissions by up to 80.06%. The results of this study contribute to a deeper understanding of the spatiotemporal patterns of VOC emissions from HDDTs and the effectiveness of emission reduction measures.-
dc.languageeng-
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jenvman-
dc.relation.ispartofJournal of Environmental Management-
dc.subjectVolatile organic compound emission-
dc.subjectScenario analysis-
dc.subjectHeavy-duty diesel truck-
dc.subjectSpatiotemporal pattern-
dc.titleEmission Characteristics and Control Scenario Analysis Of VOCs from Heavy-duty Diesel Trucks-
dc.typeArticle-
dc.identifier.emailZheng, J: zhengji@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jenvman.2021.112915-
dc.identifier.pmid34089955-
dc.identifier.scopuseid_2-s2.0-85107357655-
dc.identifier.hkuros324633-
dc.identifier.volume293-
dc.identifier.spagearticle no. 112915-
dc.identifier.epagearticle no. 112915-
dc.identifier.isiWOS:000677855200005-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats