Biomass burning emission inventory from burnt area data given by the SPOT-VEGETATION system in the frame of TRACE-P and ACE-Asia campaigns -: art. no. D09304
Biomass burning emission inventory from burnt area data given by the SPOT-VEGETATION system in the frame of TRACE-P and ACE-Asia campaigns -: art. no. D09304
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DOI：
10.1029/2004jd005461
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发表时间：
2005-05-03
影响因子：
4.4
通讯作者：
Woo, JH
中科院分区：
文献类型：
--
作者：
Michel, C;Liousse, C;Woo, JH
估计气溶胶气候影响的主要不确定因素之一与我们对气体和气溶胶排放的了解有关。在亚洲，这一点尤其重要，因为在那里可以观察到强烈的区域指纹，其排放类型不同，取决于不同的植被和气候条件(生物质燃烧排放)以及人口和工业化的快速变化(生物燃料和化石燃料排放)。这项工作的主要贡献是为2001年亚洲气溶胶特性实验(ACE-ASIA)和太平洋运输和化学演变(TRACE-P)运动期间(2001年3月至5月)推导出亚洲上空1度×1度的生物质燃烧清单(亚洲生物质燃烧清单)的气体和颗粒。在本文中，我们应用新的生物质燃烧面积估计值来估算排放量。该方法基于烧毁区域(GBA2000项目；Tansey等人)。(2002)和Gregoire等人。(2003))从1公里分辨率的SPOT-植被卫星数据中获得。绘制了区域尺度的火烧区分布图，并根据生物质密度和排放因子得到了燃烧区域排放的时空分布。讨论了与卫星产品使用有关的优点和缺点，包括亚像素分类问题和缺乏用于研究区域产品精度评估的验证数据的问题。估计的排放量与ACE-Asia和TRACE-P模拟和排放支持系统(ACESS)的气候估计值进行了比较。此外，通过编制2000年和2001年的清单，估计了年际变异性。
One of the main uncertainties in the estimation of the climatic impact of aerosols is linked to our knowledge of gas and aerosol emissions. This is particularly crucial over Asia, where a strong regional fingerprint is observed, with different emission types, depending on the various vegetation and climate conditions (biomass burning emissions) and on the very fast changes of the population and industrialization (biofuel and fossil fuel emissions). The main contribution of this work is to derive a biomass burning inventory of 1 degrees x 1 degrees over Asia (the Asian biomass burning inventory (ABBI)) for gases and particles for the Aerosol Characterization Experiment-Asia (ACE-Asia) and Transport and Chemical Evolution Over the Pacific (TRACE-P) campaign period (March to May 2001) in 2001. In this paper we apply new estimates of burnt biomass area to estimate emissions. The method is based on burnt areas (GBA2000 project; Tansey et al. (2002) and Gregoire et al. (2003)) obtained from 1 km resolution SPOT-VEGETATION satellite data. Regional-scale maps of burnt areas are produced, and then spatial and temporal emission distribution are obtained from biomass density and emission factors. Strength and weaknesses associated with the use of satellite products are discussed, including the problem of subpixel classification and the lack of validation data for the accuracy assessment of the products for the studied area. Estimated emissions are compared with ACE-Asia and TRACE-P Modeling and Emission Support System (ACESS) climatological estimates. In addition, interannual variability is estimated by preparing inventories for the years 2000 and 2001.