气候变化领域集成服务门户(CCPortal): Nitrous acid emission from open burning of major crop residues in mainland China

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DOI	10.1016/j.atmosenv.2020.117950
	Nitrous acid emission from open burning of major crop residues in mainland China
	Cui L.; Li R.; Fu H.; Meng Y.; Zhao Y.; Li Q.; Chen J.
发表日期	2021
ISSN	1352-2310
卷号	244
英文摘要	Nitrous acid (HONO) plays a significant role in tropospheric chemistry. The emission sources of HONO, however, are poorly characterized, which constraints the predictive capabilities of HONO and the associated environmental influences in models. This study measured the emission factors of HONO (EFHONO) from the agricultural residue (including wheat, rice, corn and soybean straws) open burning, the largest biomass combustion source in China. Based on this, a high-resolution (0.25 ° × 0.25 °) emission inventory of HONO from 2011 to 2015 was established using the city-level activity data compiled through statistical yearbook review in combination with machine learning algorithms, including linear regression (LR), back-propagation neural network (BPNN), general regression neural network (GRNN) and random forest (RF). Results showed that the averaged EFHONO from open burning of wheat, rice, corn and soybean straws were 0.10, 0.25, 0.98 and 0.97 g kg−1, respectively. Total annual emissions of HONO were estimated to be 101347.3, 100232.1, 104278.3, 98383.0 and 107783.9 tons, respectively, for 2011–2015. Regions with high HONO emission intensities were mainly concentrated in North China Plain and Northeast China, whereas low intensities were mainly allocated to western regions. The temporal distribution of average provincial emissions showed the peaks in March, April, June and October, respectively. Results shown herein should be useful for improving the accuracy of HONO budgets and air quality simulations in China. © 2020 Elsevier Ltd
关键词	Agricultural residue open burning Emission factor Emission inventory HONO
语种	英语
scopus关键词	Agricultural robots; Agricultural wastes; Air quality; Backpropagation; Budget control; Combustion; Decision trees; Neural networks; Air quality simulation; Back-propagation neural networks; Emission inventories; Environmental influences; General regression neural network; Predictive capabilities; Temporal distribution; Tropospheric chemistry; Inorganic acids; nitrous acid; algorithm; concentration (composition); crop residue; emission inventory; nitrous acid; pollutant source; spatiotemporal analysis; temporal distribution; Article; back propagation neural network; biomass; China; combustion; generalized regression neural network; learning algorithm; linear regression analysis; maize; nonhuman; plant residue; priority journal; random forest; rice; soybean; wheat; China; North China Plain; Glycine max; Triticum aestivum; Zea mays
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248836
作者单位	Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200433, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, 210044, China; State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 10084, China
推荐引用方式 GB/T 7714	Cui L.,Li R.,Fu H.,et al. Nitrous acid emission from open burning of major crop residues in mainland China[J],2021,244.
APA	Cui L..,Li R..,Fu H..,Meng Y..,Zhao Y..,...&Chen J..(2021).Nitrous acid emission from open burning of major crop residues in mainland China.ATMOSPHERIC ENVIRONMENT,244.
MLA	Cui L.,et al."Nitrous acid emission from open burning of major crop residues in mainland China".ATMOSPHERIC ENVIRONMENT 244(2021).