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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/acp-2017-1113
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2017-1113
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Mar 2018

Research article | 02 Mar 2018

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This discussion paper is a preprint. It has been under review for the journal Atmospheric Chemistry and Physics (ACP). A final paper in ACP is not foreseen.

A high-resolution inventory of air pollutant emissions from crop residue burning in China

Xiaohui Zhang1, Yan Lu1, Qin'geng Wang1,2, and Xin Qian1,2 Xiaohui Zhang et al.
  • 1State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China
  • 2Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China

Abstract. Crop residue burning is an important source of air pollutants and strongly affects the regional air quality and global climate change. This study presents a detailed emission inventory of major air pollutants from crop residue burning for the year of 2014 in China. Activity data were investigated for 296 prefecture-level cities, and emissions were firstly estimated for each city and then redistributed using 1-km resolution land use data. Temporal variation was determined according to the farming practice in different regions. The MODIS fire product was applied to verify the spatial and temporal variations of the inventory. Results indicates that the total emissions of BC, OC, PM2.5, PM10, SO2, NOX, NH3, CH4, NMVOC, CO and CO2 from crop residue burning (including open and household fuel burnings) were estimated to be 0.16, 0.82, 2.30, 2.66, 0.09, 0.70, 0.14, 0.81, 1.70, 13.70 and 309.04Tg, respectively. Rice, wheat and corn were the three major contributors, but their relative contributions varied with region and season. High emissions were generally located in the eastern China, central China and northeastern China, and temporally peaking in June and October relating with harvesting time. The spatially and temporal distributions agree well with the fire pixel counts from MODIS. Uncertainties were estimated using the Monte Carlo method. This study provides a useful basis for air quality modeling and the policy making of pollution control strategies.

Xiaohui Zhang et al.
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Xiaohui Zhang et al.
Xiaohui Zhang et al.
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Latest update: 18 Dec 2018
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Short summary
Activity data at prefectural-city level combined with high-resolution land use data were adopted to improve spatial resolution and detailed crop rotations and harvest times in different regions were considered in determining temporal distribution. Also, MODIS fire products were applied to verify the spatial and temporal variations of the emissions. Results showed that high emissions were generally located in Eastern, Central and Northeastern China, and temporally peaking in June and October.
Activity data at prefectural-city level combined with high-resolution land use data were adopted...
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