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Emission inventory of crop residue open burning and its high-resolution spatial distribution in 2014 for Shandong province, China

机译:2014年山东省农作物残渣露天焚烧排放量清单及其高分辨率空间分布

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Crop residue open burning represents an important source of biomass burning. Shandong is a large agricultural province in China. An emission inventory of crop residue open burning was established in Shandong Province for 2014 based on emission factors (EFs) and activity data (include: crop production, residue-to-production ratios, fraction of straw burned in the field, fraction of dry matter in straw and combustion efficiency for the various crops). The latest local residue-to-production ratios, fraction of straw burned in the field and EFs of each crop were used in this paper to improve the accuracy of our inventory. The results showed that the total emissions of sulfur dioxide (SO2), nitrogen oxide (NOX), ammonia (NH3), methane (CH4), non-methane volatile organic compounds (NMVOCs), fine particulate matter (PM2.5), elemental carbon (EC) and organic carbon (OC) in Shandong Province for 2014 were 3.48, 25.37, 5.41, 25.9, 60.37, 379.19, 62.3, 2.86 and 21.09??kt, respectively; corn stalks represented the largest contribution of different pollutants. The emissions were spatially allocated into grid cells with a resolution of 0.1?°??????0.1?° by Geographic Information System (GIS) using both cultivated land use area data and fire counts as spatial surrogates. The cities with the highest emissions were Linyi, Qingdao, Binzhou and Dezhou, which have a high crop yield and densely rural population. The emissions were temporally concentrated from April to July. The uncertainties in the estimated emissions from crop residue burned in the open field were quantified by a Monte Carlo simulation.
机译:作物残渣露天燃烧代表了生物质燃烧的重要来源。山东是中国的农业大省。根据排放因子(EFs)和活动数据(包括:农作物产量,残渣/产比,田间焚烧秸秆的比例,干物质的比例),在山东省建立了2014年农作物残渣露天焚烧排放清单。秸秆和各种农作物的燃烧效率)。本文使用了最新的当地残留量与产量的比率,田间燃烧秸秆的比例以及每种农作物的EF,以提高我们库存的准确性。结果表明,二氧化硫(SO2),氮氧化物(NOX),氨(NH3),甲烷(CH4),非甲烷挥发性有机化合物(NMVOCs),细颗粒物(PM2.5),元素的总排放量山东省2014年的碳(EC)和有机碳(OC)分别为3.48、25.37、5.41、25.9、60.37、379.19、62.3、2.86和21.09?kt;玉米秸秆代表了不同污染物的最大贡献。地理信息系统(GIS)使用耕地使用面积数据和火灾计数作为空间替代物,将排放物在空间上分配给网格单元,分辨率为0.1°°至0.1°°。排放最高的城市是临沂,青岛,滨州和德州,它们的农作物产量高,农村人口密集。从四月到七月,排放暂时集中。通过蒙特卡洛模拟对在野外焚烧的农作物残渣估算的排放量中的不确定性进行了量化。

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