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Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic.
Kanaya, Yugo; Yamaji, Kazuyo; Miyakawa, Takuma; Taketani, Fumikazu; Zhu, Chunmao; Choi, Yongjoo; Ikeda, Kohei; Tanimoto, Hiroshi; Yamada, Daichi; Narita, Daiju; Kondo, Yutaka; Klimont, Zbigniew.
  • Kanaya Y; Graduate School of Maritime Sciences, Kobe University, Kobe, 6580002, Japan. yugo@jamstec.go.jp.
  • Yamaji K; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan. yugo@jamstec.go.jp.
  • Miyakawa T; Graduate School of Maritime Sciences, Kobe University, Kobe, 6580002, Japan.
  • Taketani F; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan.
  • Zhu C; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan.
  • Choi Y; Graduate School of Maritime Sciences, Kobe University, Kobe, 6580002, Japan.
  • Ikeda K; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan.
  • Tanimoto H; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan.
  • Yamada D; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan.
  • Narita D; Earth System Division, National Institute for Environmental Studies, Tsukuba, 3058506, Japan.
  • Kondo Y; Earth System Division, National Institute for Environmental Studies, Tsukuba, 3058506, Japan.
  • Klimont Z; Faculty of Economics and Business, Hokkaido University, Sapporo, 0600809, Japan.
Sci Rep ; 11(1): 23378, 2021 12 16.
Article in English | MEDLINE | ID: covidwho-1585808
ABSTRACT
Emissions of black carbon (BC) particles from anthropogenic and natural sources contribute to climate change and human health impacts. Therefore, they need to be accurately quantified to develop an effective mitigation strategy. Although the spread of the emission flux estimates for China have recently narrowed under the constraints of atmospheric observations, consensus has not been reached regarding the dominant emission sector. Here, we quantified the contribution of the residential sector, as 64% (44-82%) in 2019, using the response of the observed atmospheric concentration in the outflowing air during Feb-Mar 2020, with the prevalence of the COVID-19 pandemic and restricted human activities over China. In detail, the BC emission fluxes, estimated after removing effects from meteorological variability, dropped only slightly (- 18%) during Feb-Mar 2020 from the levels in the previous year for selected air masses of Chinese origin, suggesting the contributions from the transport and industry sectors (36%) were smaller than the rest from the residential sector (64%). Carbon monoxide (CO) behaved differently, with larger emission reductions (- 35%) in the period Feb-Mar 2020, suggesting dominance of non-residential (i.e., transport and industry) sectors, which contributed 70% (48-100%) emission during 2019. The estimated BC/CO emission ratio for these sectors will help to further constrain bottom-up emission inventories. We comprehensively provide a clear scientific evidence supporting mitigation policies targeting reduction in residential BC emissions from China by demonstrating the economic feasibility using marginal abatement cost curves.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / Particulate Matter / Soot / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-02518-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / Particulate Matter / Soot / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-02518-2