| Title: | Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products |
| Address: | "College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, China. College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, China. Electronic address: sdxie@pku.edu.cn" |
| DOI: | 10.1016/j.jes.2015.08.024 |
| ISSN/ISBN: | 1001-0742 (Print) 1001-0742 (Linking) |
| Abstract: | "With the objective of reducing the large uncertainties in the estimations of emissions from crop residue open burning, an improved method for establishing emission inventories of crop residue open burning at a high spatial resolution of 0.25 degrees x0.25 degrees and a temporal resolution of 1month was established based on the moderate resolution imaging spectroradiometer (MODIS) Thermal Anomalies/Fire Daily Level3 Global Product (MOD/MYD14A1). Agriculture mechanization ratios and regional crop-specific grain-to-straw ratios were introduced to improve the accuracy of related activity data. Locally observed emission factors were used to calculate the primary pollutant emissions. MODIS satellite data were modified by combining them with county-level agricultural statistical data, which reduced the influence of missing fire counts caused by their small size and cloud cover. The annual emissions of CO2, CO, CH4, nonmethane volatile organic compounds (NMVOCs), N2O, NOx, NH3, SO2, fine particles (PM2.5), organic carbon (OC), and black carbon (BC) were 150.40, 6.70, 0.51, 0.88, 0.01, 0.13, 0.07, 0.43, 1.09, 0.34, and 0.06Tg, respectively, in 2012. Crop residue open burning emissions displayed typical seasonal and spatial variation. The highest emission regions were the Yellow-Huai River and Yangtse-Huai River areas, and the monthly emissions were highest in June (37%). Uncertainties in the emission estimates, measured as 95% confidence intervals, range from a low of within +/-126% for N2O to a high of within +/-169% for NH3" |
| Keywords: | "Agriculture/*statistics & numerical data Air Pollutants/*analysis Air Pollution/*statistics & numerical data China Crops, Agricultural Environmental Monitoring/*methods *Fires Models, Chemical Satellite Imagery Air quality Crop residue open burning Emissi;" |
| Notes: | "MedlineLi, Jing Bo, Yu Xie, Shaodong eng Netherlands 2016/06/09 J Environ Sci (China). 2016 Jun; 44:158-170. doi: 10.1016/j.jes.2015.08.024. Epub 2016 Jan 16" |
