Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic

被引:6
作者
Kanaya, Yugo [1 ,2 ]
Yamaji, Kazuyo [1 ,2 ]
Miyakawa, Takuma [2 ]
Taketani, Fumikazu [1 ,2 ]
Zhu, Chunmao [2 ]
Choi, Yongjoo [2 ]
Ikeda, Kohei [3 ]
Tanimoto, Hiroshi [3 ]
Yamada, Daichi [4 ]
Narita, Daiju [5 ]
Kondo, Yutaka [6 ]
Klimont, Zbigniew [7 ]
机构
[1] Kobe Univ, Grad Sch Maritime Sci, Kobe, Hyogo 6580002, Japan
[2] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res Inst Global Change, Yokohama, Kanagawa 2360001, Japan
[3] Natl Inst Environm Studies, Earth Syst Div, Tsukuba, Ibaraki 3058506, Japan
[4] Hokkaido Univ, Fac Econ & Business, Sapporo, Hokkaido 0600809, Japan
[5] Univ Tokyo, Tokyo 1538902, Japan
[6] Natl Inst Polar Res, Tachikawa, Tokyo 1908518, Japan
[7] Int Inst Appl Syst Anal IIASA, A-2361 Laxenburg, Austria
关键词
FUKUE ISLAND; ANTHROPOGENIC EMISSIONS; GREENHOUSE GASES; BOUNDARY-LAYER; AIR-QUALITY; TRENDS; SENSITIVITY; INVENTORY; REGIONS; STATES;
D O I
10.1038/s41598-021-02518-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 34 条
[1]   Cost-effective control of air quality and greenhouse gases in Europe: Modeling and policy applications [J].
Amann, Markus ;
Bertok, Imrich ;
Borken-Kleefeld, Jens ;
Cofala, Janusz ;
Heyes, Chris ;
Hoeglund-Isaksson, Lena ;
Klimont, Zbigniew ;
Nguyen, Binh ;
Posch, Maximilian ;
Rafaj, Peter ;
Sandler, Robert ;
Schoepp, Wolfgang ;
Wagner, Fabian ;
Winiwarter, Wilfried .
ENVIRONMENTAL MODELLING & SOFTWARE, 2011, 26 (12) :1489-1501
[2]  
AMAP, IMP SHORT LIV CLIM F, P20
[3]   Radiative Effects of Residential Sector Emissions in China: Sensitivity to Uncertainty in Black Carbon Emissions [J].
Archer-Nicholls, S. ;
Lowe, D. ;
Lacey, F. ;
Kumar, R. ;
Xiao, Q. ;
Liu, Y. ;
Carter, E. ;
Baumgartner, J. ;
Wiedinmyer, C. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (09) :5029-5044
[4]   Investigation of the wet removal rate of black carbon in East Asia: validation of a below- and in-cloud wet removal scheme in FLEXible PARTicle (FLEXPART) model v10.4 [J].
Choi, Yongjoo ;
Kanaya, Yugo ;
Takigawa, Masayuki ;
Zhu, Chunmao ;
Park, Seung-Myung ;
Matsuki, Atsushi ;
Sadanaga, Yasuhiro ;
Kim, Sang-Woo ;
Pan, Xiaole ;
Pisso, Ignacio .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (21) :13655-13670
[5]   One-Year Real-Time Measurement of Black Carbon in the Rural Area of Qingdao, Northeastern China: Seasonal Variations, Meteorological Effects, and the COVID-19 Case Analysis [J].
Cui, Shijie ;
Xian, Jiukun ;
Shen, Fuzhen ;
Zhang, Lin ;
Deng, Baoling ;
Zhang, Yunjiang ;
Ge, Xinlei .
ATMOSPHERE, 2021, 12 (03)
[6]  
Forster PM, 2020, NAT CLIM CHANGE, V10, P913, DOI 10.1038/s41558-020-0883-0
[7]   Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations [J].
Georgoulias, Aristeidis K. ;
van der A, Ronald J. ;
Stammes, Piet ;
Boersma, K. Folkert ;
Eskes, Henk J. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (09) :6269-6294
[8]   Historical (1750-2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS) [J].
Hoesly, Rachel M. ;
Smith, Steven J. ;
Feng, Leyang ;
Klimont, Zbigniew ;
Janssens-Maenhout, Greet ;
Pitkanen, Tyler ;
Seibert, Jonathan J. ;
Linh Vu ;
Andres, Robert J. ;
Bolt, Ryan M. ;
Bond, Tami C. ;
Dawidowski, Laura ;
Kholod, Nazar ;
Kurokawa, June-ichi ;
Li, Meng ;
Liu, Liang ;
Lu, Zifeng ;
Moura, Maria Cecilia P. ;
O'Rourke, Patrick R. ;
Zhang, Qiang .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2018, 11 (01) :369-408
[9]   China's coke industry: Recent policies, technology shift, and implication for energy and the environment [J].
Huo, Hong ;
Lei, Yu ;
Zhang, Qiang ;
Zhao, Lijian ;
He, Kebin .
ENERGY POLICY, 2012, 51 :397-404
[10]   Sensitivity analysis of source regions to PM2.5 concentration at Fukue Island, Japan [J].
Ikeda, Kohei ;
Yamaji, Kazuyo ;
Kanaya, Yugo ;
Taketani, Fumikazu ;
Pan, Xiaole ;
Komazaki, Yuichi ;
Kurokawa, Jun-ichi ;
Ohara, Toshimasa .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2014, 64 (04) :445-452