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首页> 外文期刊>Atmospheric environment >A high-resolution emission inventory of crop burning in fields in China based on MODIS Thermal Anomalies/Fire products
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A high-resolution emission inventory of crop burning in fields in China based on MODIS Thermal Anomalies/Fire products

机译:基于MODIS热异常/火产品的中国田间焚烧农作物高分辨率排放清单

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摘要

Agricultural field burning plays an important role in atmospheric pollution and climate change. This work aims to develop a detailed emission inventory for agricultural burning in China with a high spatial and temporal resolution. Province-specific statistical data, distributed by the Chinese national government, and results from scientific literature were utilized to estimate the total emissions for the base year 2006. Emissions were allocated to a 1 km grid and a 10-day interval by using the Moderate Resolution Imaging Spectroradi-ometer (MODIS) Thermal Anomalies/Fire product (M0D/MYD14A1). The estimated annual emission ranges, with a 90% confidence interval, are 68 (51-85) Tg CO_2 yr~(-1),4(2-7) Tg CO _yr~(-1), 0.25 (0.08-0.46) Tg CH_4 yr~(-1) 2.2 (1.08-3.46) Tg NMOCs yr_1, 0.23 (0.08-0.41) Tg NO_x yr~(-1), 0.09 (0.03-0.17) Tg NH_3 yr~(-1), 0.02 (0.01 -0.03) Tg SO_2 yr~(-1), 0.03 (0.01-0.05) Tg BC_ yr~(-1), 0.1 (0.04-0.17) Tg OC yr~(-1), 0.27 (0.13-0.42) Tg PM_(25) yr~(-1) 0.31 (0.12-0.53) Tg PM_(10) yr~(-1). Provinces with the highest emissions are Anhui, Guizhou and Hunan. Spatially, agricultural fires are mostly located in the North China Plain, where the occurrence of fires is concentrated in early and late June (over 75% of the whole year) with another smaller peak in early October. This pattern corresponds with sowing and harvesting times for the main crops: wheat and maize. The temporal fire variation of two other agricultural zones in northeast China and south China are also detailed in our study. Our inventory, with a relatively high spatiotemporal resolution (1 km grid and 10 days), could meet the need of global and regional air quality simulations.
机译:农业田间焚烧在大气污染和气候变化中起着重要作用。这项工作旨在以高时空分辨率建立详细的中国农业燃烧排放清单。中国中央政府分发的各省统计数据以及科学文献的结果被用于估算2006年基准年的总排放量。使用中等分辨率,将排放量分配给1 km网格和10天间隔成像光谱辐射仪(MODIS)热异常/火灾产物(M0D / MYD14A1)。以90%置信区间估算的年排放范围为68(51-85)Tg CO_2 yr〜(-1),4(2-7)Tg CO _yr〜(-1),0.25(0.08-0.46) Tg CH_4 yr〜(-1)2.2(1.08-3.46)Tg NMOCs yr_1,0.23(0.08-0.41)Tg NO_x yr〜(-1),0.09(0.03-0.17)Tg NH_3 yr〜(-1),0.02( 0.01 -0.03)Tg SO_2 yr〜(-1),0.03(0.01-0.05)Tg BC_ yr〜(-1),0.1(0.04-0.17)Tg OC yr〜(-1),0.27(0.13-0.42)Tg PM_(25)yr〜(-1)0.31(0.12-0.53)Tg PM_(10)yr〜(-1)。排放最高的省份是安徽,贵州和湖南。从空间上看,农业大火主要集中在华北平原,那里的大火集中在6月上旬和下旬(占全年的75%以上),10月上旬又是一个较小的高峰。这种模式与主要农作物(小麦和玉米)的播种和收获时间相对应。在我们的研究中,还详细介绍了中国东北和华南其他两个农业区的时空火灾变化。我们的清单具有相对较高的时空分辨率(1 km网格和10天),可以满足全球和区域空气质量模拟的需求。

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  • 来源
    《Atmospheric environment 》 |2012年第4期| p.9-15| 共7页
  • 作者单位

    State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, Peking University, Beijing 100871, China;

    State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, Peking University, Beijing 100871, China;

    State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, Peking University, Beijing 100871, China;

    State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, Peking University, Beijing 100871, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    China; crop residue; fire emission; DODIS;

    机译:中国;作物残渣火灾排放;

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