Reconciling discrepancies in the source characterization of VOCs between emission inventories and receptor modeling

Ou, Jiamin, Zheng, Junyu, Yuan, Zibing, Guan, Dabo, Huang, Zhijiong, Yu, Fei, Shao, Min and Louie, Peter K. K. (2018) Reconciling discrepancies in the source characterization of VOCs between emission inventories and receptor modeling. Science of the Total Environment, 628-629. pp. 697-706. ISSN 0048-9697

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Emission inventory (EI) and receptor model (RM) are two of the three source apportionment (SA) methods recommended by Ministry of Environment of China and used widely to provide independent views on emission source identifications. How to interpret the mixed results they provide, however, were less studied. In this study, a cross-validation study was conducted in one of China's fast-developing and highly populated city cluster- the Pearl River Delta (PRD) region. By utilizing a highly resolved speciated regional EI and a region-wide gridded volatile organic compounds (VOCs) speciation measurement campaign, we elucidated underlying factors for discrepancies between EI and RM and proposed ways for their interpretations with the aim to achieve a scientifically plausible source identification. Results showed that numbers of species, temporal and spatial resolutions used for comparison, photochemical loss of reactive species, potential missing sources in EI and tracers used in RM were important factors contributed to the discrepancies. Ensuring the consensus of species used in EIs and RMs, utilizing a larger spatial coverage and longer time span, addressing the impacts of photochemical losses, and supplementing emissions from missing sources could help reconcile the discrepancies in VOC source characterizations acquired using both approaches. By leveraging the advantages and circumventing the disadvantages in both methods, the EI and RM could play synergistic roles to obtain robust SAs to improve air quality management practices.

Item Type: Article
Uncontrolled Keywords: source characterization,vocs,emission inventory,receptor models,discrepancy,sdg 11 - sustainable cities and communities ,/dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities
Faculty \ School: Faculty of Social Sciences > School of Global Development (formerly School of International Development)
UEA Research Groups: Faculty of Social Sciences > Research Centres > Water Security Research Centre
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Depositing User: Pure Connector
Date Deposited: 12 Apr 2018 15:31
Last Modified: 22 Oct 2022 03:35
DOI: 10.1016/j.scitotenv.2018.02.102


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