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A new emission inventory for nonagricultural open fires in Asia from 2000 to 2009

机译:2000年至2009年亚洲非农业明火的新排放清单

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Open fires play a significant role in atmospheric pollution and climatic change. This work aims to develop an emission inventory for nonagricultural open fires in Asia using the newly released MODIS (Moderate Resolution Imaging Spectroradiometer) burned area product (MCD45A1), as the MODIS sensor cannot efficiently detect field crop residue burning. Country-level or province-specific biomass density data were used as fuel loads. Moisture contents were taken into account when calculating combustion factors for grass fuel. During the nine fire years 2000–2008, both burned areas and fire emissions clearly presented spatial and seasonal variations. Extensive nonagricultural open fires were concentrated in the months of February and March, while another peak was between August and October. Indonesia was the most important contributor to fire emission, which was largely attributable to peat burning. Myanmar, India, and Cambodia together contributed approximately half of the total burned area and emission. The annual emissions for CO2, CO, CH4, NMHCs, NOx, NH3, SO2, BC, OC, PM2.5, and PM10 were 83 (69–103), 6.1 (4.6–8.2), 0.38 (0.24–0.57), 0.64 (0.36–1.0), 0.085 (0.074–0.10), 0.31 (0.17–0.48), 0.030 (0.024–0.037), 0.023 (0.020–0.028), 0.27 (0.22–0.33), 2.0 (1.6–2.6), and 2.2 (1.7–2.9)?Tg?yr ? 1, respectively. This inventory has a daily temporal resolution and 500?m spatial resolution, and covers a long period, from April 2000 to February 2009. It could be used in global and regional air quality modeling.
机译:明火在大气污染和气候变化中起着重要作用。这项工作旨在使用新发布的MODIS(中等分辨率成像光谱仪)燃烧区产品(MCD45A1)开发亚洲非农业明火的排放清单,因为MODIS传感器无法有效检测田间作物残渣燃烧。国家或省级生物量密度数据用作燃料负荷。在计算草燃料的燃烧因子时要考虑水分含量。在2000-2008年的九个火灾年份中,燃烧面积和火灾排放量均清楚地表现出空间和季节变化。广泛的非农业明火集中在2月和3月,而另一个高峰在8月和10月之间。印度尼西亚是造成火灾最主要的原因,主要归因于泥炭燃烧。缅甸,印度和柬埔寨共贡献了约一半的燃烧面积和排放量。 CO2,CO,CH4,NMHC,NOx,NH3,SO2,BC,OC,PM2.5和PM10的年排放量分别为83(69-103),6.1(4.6-8.2),0.38(0.24-0.57), 0.64(0.36-1.0),0.085(0.074-0.10),0.31(0.17-0.48),0.030(0.024-0.037),0.023(0.020-0.028),0.27(0.22-0.33),2.0(1.6-2.6)和2.2(1.7–2.9)?Tg?yr? 1,分别。该清单的每日时间分辨率和500?m空间分辨率,涵盖了从2000年4月到2009年2月的很长一段时间。可用于全球和区域空气质量建模。

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