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基于统计数据和 MODIS 火灾产品估算中国农作物秸秆露天燃烧的排放量。

Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products.

机构信息

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.

出版信息

J Environ Sci (China). 2016 Jun;44:158-170. doi: 10.1016/j.jes.2015.08.024. Epub 2016 Jan 16.

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°×0.25° 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.

摘要

为了降低作物秸秆露天燃烧排放量估算中的巨大不确定性,本研究基于中分辨率成像光谱仪(MODIS)的热异常/火灾日级 3 全球产品(MOD/MYD14A1),建立了一种改进的方法,以 0.25°×0.25°的高空间分辨率和 1 个月的时间分辨率来建立作物秸秆露天燃烧排放清单。引入农业机械化率和区域作物特定的谷草比,以提高相关活动数据的准确性。利用局地观测的排放因子来计算主要污染物的排放量。MODIS 卫星数据通过与县级农业统计数据相结合进行修正,从而减少了由于其小尺寸和云层覆盖而导致的火灾数量缺失的影响。2012 年,CO2、CO、CH4、非甲烷挥发性有机化合物(NMVOCs)、N2O、NOx、NH3、SO2、细颗粒物(PM2.5)、有机碳(OC)和黑碳(BC)的年排放量分别为 150.40、6.70、0.51、0.88、0.01、0.13、0.07、0.43、1.09、0.34 和 0.06Tg。作物秸秆露天燃烧排放具有典型的季节性和空间变化特征。排放最高的地区是黄淮海和长江-淮河流域,6 月份(37%)的月排放量最高。排放估计的不确定性,以 95%置信区间衡量,范围从 N2O 的低至±126%到 NH3 的高至±169%。

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