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Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data

LI Ruimin CHEN Weiwei ZHAO Hongmei WU Xuewei ZHANG Mengduo TONG Daniel Q XIU Aijun

LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. 中国地理科学, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
引用本文: LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. 中国地理科学, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. Chinese Geographical Science, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
Citation: LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. Chinese Geographical Science, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7

Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data

doi: 10.1007/s11769-020-1110-7
基金项目: 

Under the auspices of National Key R & D Program of China (No. 2017YFC0212303, 2017YFC0212304), Key Re-search Program of Frontier Sciences, Chinese Academy of Sciences (No. QYZDB-SSW-DQC045), National Natural Science Foun-dation of China (No. 41775116), Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2017275)

详细信息
    通讯作者:

    CHEN Weiwei.E-mail:chenweiwei@iga.ac.cn

    ZHAO Hongmei.E-mail:zhaohongmei@iga.ac.cn

Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data

Funds: 

Under the auspices of National Key R & D Program of China (No. 2017YFC0212303, 2017YFC0212304), Key Re-search Program of Frontier Sciences, Chinese Academy of Sciences (No. QYZDB-SSW-DQC045), National Natural Science Foun-dation of China (No. 41775116), Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2017275)

  • 摘要:

    The burning of crop residues emits large quantities of atmospheric aerosols. Published studies have developed inventories of emissions from crop residue burning based on statistical data. In contrast, this study used satellite-retrieved land-cover data (1 km×1 km) as activity data to compile an inventory of atmospheric pollutants emitted from the burning of crop residues in China in 2015. The emissions of PM10, PM2.5, VOCs, NOx, SO2, CO, and NH3 from burning crop straw on nonirrigated farmland in China in 2015 were 610.5, 598.4, 584.4, 230.6, 35.4, 3329.3, and 36.1 Gg (1 Gg=109 g), respectively; the corresponding emissions from burning paddy rice residues were 234.1, 229.7, 342.3, 57.5, 57.5, 1122.1, and 21.5 Gg, respectively. The emissions from crop residue burning showed large spatial and temporal variations. The emissions of particulate matter and gaseous pollutants from crop residue burning in nonirrigated farmland were highest in east China, particularly in Shandong, Henan, Anhui, and Sichuan provinces. Emissions from burning paddy rice residue were highest in east and central China, with particularly high levels in Shandong, Jiangsu, Zhejiang, and Hunan provinces. The monthly variations in atmospheric pollutant emissions were similar among different regions, with the highest levels observed in October in north, northeast, northwest, east, and southwest China and in June and July in central and south China. The developed inventory of emissions from crop residue burning is expected to help improve air quality models by providing high-resolution spatial and temporal data.

  • [1] Anhui Bureau of Statistics (ABS), Anhui Survey Team of National Bureau of Statistics, 2016. Anhui Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [2] Beijing Bureau of Statistics (BBS), 2016. Beijing Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [3] Cao Guoliang, Zhang Xiaoye, Zheng Fangcheng et al., 2006. Estimating the quantity of crop residues burnt in open field in China. Resources Science, 28(1):9-13. (in Chinese)
    [4] Cao G L, Zhang X Y, Gong S L et al., 2011. Emission inventories of primary particles and pollutant gases for China. Chinese Science Bulletin, 56(8):781. doi: 10.1007/s11434-011-4373-7
    [5] Chongqing Bureau of Statistics (CBS), 2016. Chongqing Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [6] Crippa M, Guizzardi D, Muntean M et al., 2018. Gridded emissions of air pollutants for the period 1970-2012 within EDGAR v4.3.2. Earth System Science Data, 10(4):1987-2013. doi: 10.5194/essd-10-1987-2018
    [7] European Enviromental Agency (EEA), 2007. EMEP/CORINAIR Emission Inventory Guidebook:2007. Technical Report No 16/2007.
    [8] Fujian Bureau of Statistics (FBS), Fujian Survey Team of National Bureau of Statistics, 2016. Fujian Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [9] Guangdong Bureau of Statistics (GDBS), Guangdong Survey Team of National Bureau of Statistics, 2016. Guangdong Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [10] Guangxi Bureau of Statistics (GXBS), 2016. Guangxi Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [11] Gansu Bureau of Statistics (GSBS), 2016. Gansu Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [12] Guizhou Bureau of Statistics (GZBS), Guizhou Survey Team of National Bureau of Statistics, 2016. Guizhou Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [13] Hainan Bureau of Statistics (HBS), Hainan Survey Team of National Bureau of Statistics, 2016. Hainan Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [14] He Hong, Wang Xinming, Wang Yuesi, et al., 2013. Formation mechanism and control strategies of haze in China. Bulletin of Chinese Academy of Sciences, 28(3):344-352. (in Chinese)
    [15] Hebei Bureau of Statistics (HBBS), 2016. Hebei Economic Yearbook. Beijing:China Statistics Press. (in Chinese)
    [16] Heilongjiang Bureau of Statistics (HLJBS), 2016. Heilongjiang Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [17] Henan Bureau of Statistics (HNBS), 2016. Henan Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [18] Hubei Bureau of Statistics (HUBBS), Hubei Survey Team of National Bureau of Statistics, 2016. Hubei Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [19] Hunan Bureau of Statistics (HUNBS), 2016. Hunan Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [20] Inner Mongolia Bureau of Statistics (IMBS), 2016. Inner Mongolia Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [21] IPCC (The Intergovernmental Panel on Climate Change), 2011. The Intergovernmental Panel on Climate Change (IPCC):Climate Change 2007. Available at:http://www.ipcc.ch
    [22] Jiangsu Bureau of Statistics (JSBS), 2016. Jiangsu Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [23] Jiangxi Bureau of Statistics (JXBS), Jiangxi Survey Team of National Bureau of Statistics, 2016. Jiangxi Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [24] Jilin Bureau of Statistics (JLBS), 2016. Jilin Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [25] Li R M, Chen W W, Xiu A J et al., 2019. A comprehensive inventory of agricultural atmospheric particulate matters (PM10 and PM2.5) and gaseous pollutants (VOCs, SO2, NH3, CO, NOx and HC) emissions in China. Ecological Indicators, 107:105609.
    [26] Liaoning Bureau of Statistics (LBS), 2016. Liaoning Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [27] MEE, 2014. Technical Guidelines on Emission Inventory Development of Air Pollutants from Biomass Burning (on Trial). Ministry of Ecology and Environmental Protection of the People's Republic China. Available at:http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm
    [28] National Bureau of Statistics of China (NBSC), 2016a. China Statistical Yearbook (County-level) 2016. Beijing:China Statistics Press. (in Chinese).
    [29] National Bureau of Statistics of China (NBSC), 2016b. China Statistical Yearbook 2016. Beijing:China Statistics Press. (in Chinese).
    [30] Ningxia Bureau of Statistics (NBS), Ningxia Survey Team of National Bureau of Statistics, 2016. Ningxia Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [31] Peng Liqun, Zhang Qiang, He Kebin, 2016. Emissions inventory of atmospheric pollutants from open burning of crop residues in China based on a national questionnaire. Research of Environmental Sciences, 29(8):1109-1118. (in Chinese)
    [32] Qinghai Bureau of Statistics (QBS), Qinghai Survey Team of National Bureau of Statistics, 2016. Qinghai Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [33] Qiu X H, Duan L, Chai F H et al., 2016. Deriving high-resolution emission inventory of open biomass burning in China based on satellite observations. Environmental Science & Technology, 50(21):11779-11786. doi: 10.1021/acs.est.6b02705
    [34] Shaanxi Bureau of Statistics (SBS), 2016. Shaanxi Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [35] Shandong Bureau of Statistics (SDBS), 2016. Shandong Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [36] Shanghai Bureau of Statistics (SHBS), 2016. Shanghai Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [37] Shanxi Bureau of Statistics (SXBS), 2016. Shanxi Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [38] Sichuan Bureau of Statistics (SCBS), 2016. Sichuan Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [39] Tianjin Bureau of Statistics (TJBS), Tianjin Survey Team of National Bureau of Statistics, 2016. Tianjin Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [40] Tibet Bureau of Statistics (TBS), Tibe Survey Team of National Bureau of Statistics, 2016. Tibet Bureau of Statistics. Beijing:China Statistics Press. (in Chinese)
    [41] Wang Shuixiao, Zhang Chuying, 2008. Spatial and temporal distribution of air pollutant emissions from open burning of crop residues in China. Sciencepaper Online, 3(5):329-333. (in Chinese)
    [42] Wu J, Kong S F, Wu F Q et al, 2018. Estimating the open biomass burning emissions in central and eastern China from 2003 to 2015 based on satellite observation. Atmospheric Chemistry and Physics, 18(16):11623-11646. doi: 10.5194/acp-18-11623-2018
    [43] Xinjiang Bureau of Statistics (XBS), 2016. Xinjiang Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [44] Yunnan Bureau of Statistics (YBS), 2016. Yunan Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [45] Zhang Qiang, Klimont Z, Streets D G et al., 2006. Emission model of anthropogenic sources and estimation of emission inventory in 2001, China. Progress in Natural Science, 16(2):223-231. (in Chinese)
    [46] Zhang Q, Streets D G, Carmichael G R et al., 2009. Asian emissions in 2006 for the NASA INTEX-B mission. Atmospheric Chemistry and Physics, 9(14):5131-5153. doi: 10.5194/acp-9-5131-2009
    [47] Zhejiang Bureau of Statistics (ZBS), 2016. Zhejiang Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [48] Zhou Y, Xing X F, Lang J L et al., 2017. A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China. Atmospheric Chemistry and Physics, 17(4):2839-2864. doi: 10.5194/acp-17-2839-2017
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Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data

doi: 10.1007/s11769-020-1110-7
    基金项目:

    Under the auspices of National Key R & D Program of China (No. 2017YFC0212303, 2017YFC0212304), Key Re-search Program of Frontier Sciences, Chinese Academy of Sciences (No. QYZDB-SSW-DQC045), National Natural Science Foun-dation of China (No. 41775116), Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2017275)

    通讯作者: CHEN Weiwei.E-mail:chenweiwei@iga.ac.cn; ZHAO Hongmei.E-mail:zhaohongmei@iga.ac.cn

摘要: 

The burning of crop residues emits large quantities of atmospheric aerosols. Published studies have developed inventories of emissions from crop residue burning based on statistical data. In contrast, this study used satellite-retrieved land-cover data (1 km×1 km) as activity data to compile an inventory of atmospheric pollutants emitted from the burning of crop residues in China in 2015. The emissions of PM10, PM2.5, VOCs, NOx, SO2, CO, and NH3 from burning crop straw on nonirrigated farmland in China in 2015 were 610.5, 598.4, 584.4, 230.6, 35.4, 3329.3, and 36.1 Gg (1 Gg=109 g), respectively; the corresponding emissions from burning paddy rice residues were 234.1, 229.7, 342.3, 57.5, 57.5, 1122.1, and 21.5 Gg, respectively. The emissions from crop residue burning showed large spatial and temporal variations. The emissions of particulate matter and gaseous pollutants from crop residue burning in nonirrigated farmland were highest in east China, particularly in Shandong, Henan, Anhui, and Sichuan provinces. Emissions from burning paddy rice residue were highest in east and central China, with particularly high levels in Shandong, Jiangsu, Zhejiang, and Hunan provinces. The monthly variations in atmospheric pollutant emissions were similar among different regions, with the highest levels observed in October in north, northeast, northwest, east, and southwest China and in June and July in central and south China. The developed inventory of emissions from crop residue burning is expected to help improve air quality models by providing high-resolution spatial and temporal data.

English Abstract

LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. 中国地理科学, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
引用本文: LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. 中国地理科学, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. Chinese Geographical Science, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
Citation: LI Ruimin, CHEN Weiwei, ZHAO Hongmei, WU Xuewei, ZHANG Mengduo, TONG Daniel Q, XIU Aijun. Inventory of Atmospheric Pollutant Emissions from Burning of Crop Residues in China Based on Satellite-retrieved Farmland Data[J]. Chinese Geographical Science, 2020, 30(2): 266-278. doi: 10.1007/s11769-020-1110-7
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