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Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products 被引量:20
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作者 Jing Li Yu Bo Shaodong Xie 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2016年第6期158-170,共13页
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 sp... 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°× 0.25° and a temporal resolution of1 month 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 0.06 Tg, 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. 展开更多
关键词 Crop residue open burning Air quality Emission inventory Moderate resolution imaging spectroradiometer(MODIS)
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Typical atmospheric haze during crop harvest season in northeastern China:A case in the Changchun region 被引量:10
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作者 Wei Wei Chen Daniel Q.Tong +3 位作者 Mo Dan Shi Chun Zhang Xue Lei Zhang Yue Peng Pan 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2017年第4期101-113,共13页
This study presents the mass concentrations of PM(2.5),O3,SO2 and NOxat one urban,one suburban and two rural locations in the Changchun region from September 25 to October 272013. Major chemical components of PM(2.... This study presents the mass concentrations of PM(2.5),O3,SO2 and NOxat one urban,one suburban and two rural locations in the Changchun region from September 25 to October 272013. Major chemical components of PM(2.5)at the four sites were daily sampled and analyzed. Most of daily concentrations of SO2(7–82 μg/m^3),O3(27–171 μg/m^3) and NOx(14–213 μg/m^3) were below the limits of the National Ambient Air Quality Standard(NAAQS)in China. However,PM(2.5)concentrations(143–168 μg/m^3) were 2-fold higher than NAAQS.Higher PM(2.5)concentrations(~ 150 μg/m^3) were measured during the pre-harvest and harvest at the urban site,while PM(2.5)concentrations significantly increased from 250 to400 μg m^(-3) at suburban and rural sites with widespread biomass burning. At all sites,PM(2.5)components were dominated by organic carbon(OC) and followed by soluble component sulfate(SO4^(2-)),ammonium(NH4~+) and nitrate(NO3^-). Compared with rural sites,urban site had a higher mineral contribution and lower potassium(K~+and K) contribution to PM(2.5).Severe atmospheric haze events that occurred from October 21 to 23 were attributed to strong source emissions(e.g.,biomass burning) and unfavorable air diffusion conditions.Furthermore,coal burning originating from winter heating supply beginning on October 18 increased the atmospheric pollutant emissions. For entire crop harvest period,the Positive Matrix Factorization(PMF) analysis indicated five important emission contributors in the Changchun region,as follows: secondary aerosol(39%),biomass burning(20%),supply heating(18%),soil/road dust(14%) and traffic(9%). 展开更多
关键词 Aerosol Air quality Agriculture Biomass burning PM(2.5) PMF
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