Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China

doi:10.3390/rs13030404

	Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China
	Shen, Yonglin 1,2; Jiang, Changmin 1; Chan, Ka Lok 3; Hu, Chuli 1; Yao, Ling 2
刊名	REMOTE SENSING
	2021-02-01
卷号	13 期号:3 页码:20
关键词	NOx emission crop residue burning field-level moderate-resolution imaging spectroradiometer (MODIS) fire radiative power (FRP)
DOI	10.3390/rs13030404
通讯作者	Chan, Ka Lok(ka.chan@dlr.de)
英文摘要	Crop residue burning is the major biomass burning activity in China, strongly influencing the regional air quality and climate. As the cultivation pattern in China is rather scattered and intricate, it is a challenge to derive an accurate emission inventory for crop residue burning. In this study, we proposed a remote sensing-based method to estimate nitrogen oxide (NOx) emissions related to crop residue burning at the field level over Hubei, China. The new method considers differences in emission factors and the spatial distribution for different crop types. Fire radiative power (FRP) derived from moderate-resolution imaging spectroradiometer (MODIS) was used to quantify NOx emissions related to agricultural biomass combustion. The spatial distribution of different crops classified by multisource remote sensing data was used as an a priori constraint. We derived a new NOx emission database for Hubei from 2014 to 2016 with spatial resolution of 1 x 1 km. Significant seasonal patterns were observed from the NOx emission database. Peak NOx emission occurring in October was related to the residue burning in late autumn harvesting. Another peak was observed between January and April, which was due to the frequent burning of stubble before spring sowing. Our results were validated by comparing our emission inventory with geostationary satellite observations, previous studies, global fire emission database (GFED), NO2 vertical column densities (VCDs) from ozone monitoring instrument (OMI) satellite observations, and measurements from environmental monitoring stations. The comparisons showed NOx emission from GFED database was 47% lower than ours, while the evaluations from most of the statistical studies were significantly higher than our results. The discrepancies were likely related to the differences of methodology and data sources. The spatiotemporal variations of NOx emission in this study showed strong correlations with NO2 VCDs, which agreed well with geostationary satellite observations. A reasonable correlation between in situ NO2 observations and our results in agricultural regions demonstrated that our method is reliable. We believe that the new NOx emission database for crop residue burning derived in this study can potentially improve the understanding of pollution sources and can provide additional information for the design of pollution control measures.
资助项目	National Key Research and Development Program of China[2020YFB2103403] ; National Natural Science Foundation of China[42071380] ; National Natural Science Foundation of China[41771380] ; State Key Laboratory of Resources and Environmental Information System ; Provincial Natural Science Research Project at Higher Institutions of Anhui[KJ2018A0594]
WOS关键词	FIRE RADIATIVE ENERGY ; TROPOSPHERIC NO2 ; SURFACE OZONE ; GAS EMISSIONS ; HONG-KONG ; MAX-DOAS ; SATELLITE ; MODIS ; POLLUTANTS ; RESOLUTION
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000615476300001
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System ; Provincial Natural Science Research Project at Higher Institutions of Anhui
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160587]
专题	中国科学院地理科学与资源研究所
通讯作者	Chan, Ka Lok
作者单位	1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.German Aerosp Ctr DLR, Remote Sensing Technol Inst, D-82234 Oberpfaffenhofen, Germany
推荐引用方式 GB/T 7714	Shen, Yonglin,Jiang, Changmin,Chan, Ka Lok,et al. Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China[J]. REMOTE SENSING,2021,13(3):20.
APA	Shen, Yonglin,Jiang, Changmin,Chan, Ka Lok,Hu, Chuli,&Yao, Ling.(2021).Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China.REMOTE SENSING,13(3),20.
MLA	Shen, Yonglin,et al."Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China".REMOTE SENSING 13.3(2021):20.