CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017

Journal of Geophysical Research D: Atmospheres - Tập 125 Số 7 - 2020
Shuzhuang Feng1,2, Fei Jiang1,2, Zheng Wu3, Hengmao Wang1,2, Weimin Ju1,2, Haikun Wang4
1Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China
2Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China
3Chongqing Institute of Meteorological Sciences, Chongqing, China
4State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China

Tóm tắt

AbstractChina has implemented active clean air policies in recent years, and the spatiotemporal patterns of major pollutant emissions have changed substantially. In this study, we construct a regional air pollution data assimilation system based on the WRF/CMAQ model and ensemble Kalman filter algorithm to quantitatively optimize gridded CO emissions using hourly surface CO measurements over China. The Multi‐resolution Emission Inventory of China CO emission inventories in December 2012 and 2016 are treated as prior emissions, and the CO emissions in December 2013 and 2017 are optimized using the CO observations of December of 2013 and 2017, respectively. The results show that in both periods, assimilation of CO observations significantly improves the CO simulations and emission estimates. Assimilation increases the CO emissions in most areas of mainland China, especially in northern China, and the spatial patterns of the increases in the two periods are similar. Overall, the posterior CO emissions in December 2017 are 17% lower than those in December 2013. Large emission decreases are mainly found in most key urban areas and developed regions, and emission increases are mainly located in their surrounding areas and certain central and western regions, which might reflect the emission migration from developed regions or urban areas to developing regions or surrounding areas. These changes are not found in the prior emissions but are basically consistent with the emission control strategies and industrial transformation and upgrade phenomena in recent years, indicating that our CO assimilation system could successfully capture the temporal and spatial variations.

Từ khóa


Tài liệu tham khảo

10.5194/bg-9-1845-2012

10.5194/acp-19-11701-2019

10.1115/1.2128636

10.2753/CES1097-1475460203

10.5194/acp-19-8619-2019

10.5194/acp-16-10707-2016

10.1016/j.jclepro.2017.08.041

10.5194/acp-17-1259-2017

10.5194/acp-19-6879-2019

10.1016/j.scitotenv.2016.12.143

China(2018).The objectives of the action plan have been fully realized. Retrieved fromhttp://www.gov.cn/xinwen/2018‐02/01/content_5262720.htm

10.1002/2015JD024024

10.1029/2001JD000501

10.5194/acp-7-3749-2007

10.1016/j.atmosenv.2018.05.049

10.5194/acp-12-6699-2012

10.5194/acp-18-4859-2018

10.5194/gmd-5-1471-2012

Guo S., 2017, the industrial transfer trend in Beijing‐Tianjin‐Hebei region and industrial undertaking selection for Shanxi under the context of Bohai rim region industrial cooperation, Economic Geography, 37, 102

10.1029/2003GB002111

10.5194/gmd-11-369-2018

10.5194/acp-11-4705-2011

10.1175/1520-0493(2001)129<0123:ASEKFF>2.0.CO;2

10.1175/MWR-D-15-0440.1

Intergovernmental Panel on Climate Change (IPCC), 2013, Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change

10.1016/j.jaerosci.2011.09.003

10.5194/acp-14-10133-2014

10.1007/s10874-012-9244-3

10.1002/jgrd.50216

10.5194/acp-15-6801-2015

10.1002/jgrd.50495

10.5194/acp-17-4565-2017

10.1016/j.atmosenv.2018.05.060

10.1016/j.jclepro.2017.02.050

10.5194/acpd-7-17625-2007

10.5194/acp-9-3547-2009

10.1175/2009WAF2222201.1

Kong L., 2019, Evaluation and uncertainty investigation of the NO2, CO and NH3 modeling over China under the framework of MICS‐Asia III, Atmospheric Chemistry and Physics Disscusion, 2019, 1

Koohkan M. R., 2012, Accounting for representativeness errors in the inversion of atmospheric constituent emissions: Application to the retrieval of regional carbon monoxide fluxes, Tellus Series B‐Chemical And Physical Meteorology, 64, 10.3402/tellusb.v64i0.19047

10.5194/acp-10-855-2010

10.1029/2007JD009264

10.5194/acp-16-4605-2016

10.5194/acp-17-935-2017

Li W., 2014, Impact of industrial transfer on undertaking place—Taking Hubei province as an example, Journal of Hunan University of Humanities, Science and Technology, 06, 24

10.5194/acp-13-4265-2013

10.5194/acp-17-9115-2017

10.1016/j.apenergy.2015.06.032

10.1002/2017JD026798

10.1016/j.atmosenv.2018.03.013

10.1029/2011JD016159

10.1029/2019JD030421

10.5194/acp-6-1275-2006

Ministry of Environmental Protection of China(2012).Ministry of environmental protection of China ambient air quality standard.http://kjs.mee.gov.cn/hjbhbz/bzwb/dqhjbh/dqhjzlbz/201203/t20120302_224165.shtml

10.1029/2009JD012654

10.5194/acp-15-8315-2015

10.5194/acp-12-9545-2012

National Development and Reform Commission(2012).The development of the western region in China: The twelfth five‐year plan. Retrieved fromhttp://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=276

National Development and Reform Commission(2016).The development plan of urban agglomeration in the Yangtze River Delta. Retrieved fromhttp://www.ndrc.gov.cn/fzgggz/fzgh/zcfg/201606/t20160603_806401.html

National Energy Administration(2014).Strategic action plan for energy development (2014–2020). Retrieved fromhttp://www.nea.gov.cn/2014‐12/03/c_133830458.htm

10.1016/j.atmosenv.2019.04.053

10.5194/acp-18-17387-2018

10.1073/pnas.0708986104

10.5194/acp-5-3173-2005

10.5194/acp-17-6393-2017

10.1002/2013JD020937

10.1029/2011JD017383

10.1007/s10874-015-9326-0

10.1016/j.jcp.2007.01.037

10.1029/2006JD007118

10.1029/2018JD029151

10.5194/acp-11-12901-2011

10.1016/j.atmosenv.2013.08.051

Tarantola A.(2004).Inverse problem theory and methods for model parameter estimation Society for Industrial and Applied Mathematics Philadelphia PA.

10.5194/acp-17-1775-2017

10.1016/j.atmosenv.2014.12.052

10.1016/j.scitotenv.2014.10.070

10.1029/2006JD007925

10.5194/acp-10-9521-2010

10.1016/j.jclepro.2019.04.294

10.1175/1520-0493(2002)130<1913:EDAWPO>2.0.CO;2

10.1175/1520-0493(2002)130<2905:TDVAWS>2.0.CO;2

Wu Z., 2018, Inversion of SO_2 emissions over Chongqing with ensemble square root Kalman filter, Research of Environmental Sciences, 31, 25

Xiao Y., 2017, Industrial transfer,specialization and inter‐regional industrial chain development in Guangdong‐Hunan‐Jiangxi‐Guangxi region, Areal Research and Development, 36, 10

Yarwood G. Rao S. Yocke M. &Whitten G.(2005).Updates to the carbon bond chemical mechanism: CB05. Final report to the US EPA RT‐0400675. Retrieved fromhttp://www.camx.com/files/cb05_final_report_120805.aspx

10.1016/j.atmosres.2016.11.007

10.5194/acp-15-13433-2015

10.5194/acp-12-4091-2012

10.1016/j.atmosenv.2006.05.042

10.1016/j.jclepro.2019.03.204

10.1002/2017GL072617

10.5194/acp-9-5131-2009

10.1088/1748-9326/aa6cb2

Zhao H.‐X., 2014, Shifting path of industrial pollution gravity centers and its driving mechanism in Pan‐Yangtze River Delta, Environmental Sciences, 35, 4387

10.1016/j.jclepro.2019.06.073

10.1016/j.atmosenv.2011.12.015

10.5194/acp-18-14095-2018

10.1111/jiec.12432

10.1016/j.envpol.2017.02.009

10.1175/MWR-D-14-00182.1

10.1002/qj.372

Thông tin
Thông tin xuất bản

Journal of Geophysical Research D: Atmospheres

Tập 125 Số 7

Thông tin tác giả