Literature DB >> 27652607

Deriving High-Resolution Emission Inventory of Open Biomass Burning in China based on Satellite Observations.

Xionghui Qiu1, Lei Duan1, Fahe Chai2, Shuxiao Wang1, Qian Yu1, Shulan Wang2.   

Abstract

Open biomass burning plays an important role in atmospheric pollution and in climate change. However, the current emission inventory of open biomass burning is generally of highly uncertainty because of missing small fire data and limited resolution because of the lack of localized vegetation data. In this study, the MODIS (MODerate Resolution Imaging Spectroradiometer) burned area product MCD64Al combined with the active fire product MCD14 ML, as well as a high-resolution land cover data set, were applied to develop a high-resolution emission inventory of open biomass burning in China in 2013. Total CO, CH4, NOx, NMVOC (nonmethane volatile organic compounds), SO2, NH3, PM2.5, PM10, OC (organic carbon), BC (black carbon), and CO2 emissions were estimated to be 1.03 × 104, 666, 536, 1.91 × 103, 87, 138, 1.45 × 103, 2.09 × 103, 741, 137, and 2.45 × 105 Gg, respectively. The provinces that contributed the most emissions included Heilongjiang, Henan, Shandong, and Jilin. The major source for all pollutants was cropland burning, whereas Xizang, Xinjiang, and Heilongjiang had greater emissions from natural vegetation. The temporal distribution of average provincial emissions showed that the peaks were in June and October. This study updated the emission information that may support future research and policy-making on air pollution control and GHG emission abatement.

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Year:  2016        PMID: 27652607     DOI: 10.1021/acs.est.6b02705

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Morphology, composition, and mixing state of primary particles from combustion sources - crop residue, wood, and solid waste.

Authors:  Lei Liu; Shaofei Kong; Yinxiao Zhang; Yuanyuan Wang; Liang Xu; Qin Yan; A P Lingaswamy; Zongbo Shi; Senlin Lv; Hongya Niu; Longyi Shao; Min Hu; Daizhou Zhang; Jianmin Chen; Xiaoye Zhang; Weijun Li
Journal:  Sci Rep       Date:  2017-07-11       Impact factor: 4.379

2.  Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data.

Authors:  Yan Zhuang; Danlu Chen; Ruiyuan Li; Ziyue Chen; Jun Cai; Bin He; Bingbo Gao; Nianliang Cheng; Yueni Huang
Journal:  Int J Environ Res Public Health       Date:  2018-07-17       Impact factor: 3.390

3.  Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China.

Authors:  Zhaoyu Mo; Jiongli Huang; Zhiming Chen; Bin Zhou; Kaixian Zhu; Huilin Liu; Yijun Mu; Dabiao Zhang; Shanshan Wang
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

  3 in total

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