Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-6423-2017 |
Particulate emissions from large North American wildfires estimated using a new top-down method | |
Nikonovas, Tadas; North, Peter R. J.; Doerr, Stefan H. | |
2017-05-30 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:10 |
文章类型 | Article |
语种 | 英语 |
国家 | Wales |
英文摘要 | Particulate matter emissions from wildfires affect climate, weather and air quality. However, existing global and regional aerosol emission estimates differ by a factor of up to 4 between different methods. Using a novel approach, we estimate daily total particulate matter (TPM) emissions from large wildfires in North American boreal and temperate regions. Moderate Resolution Imaging Spectroradiometer (MODIS) fire location and aerosol optical thickness (AOT) data sets are coupled with HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) atmospheric dispersion simulations, attributing identified smoke plumes to sources. Unlike previous approaches, the method (i) combines information from both satellite and AERONET (AErosol RObotic NETwork) observations to take into account aerosol water uptake and plume specific mass extinction efficiency when converting smoke AOT to TPM, and (ii) does not depend on instantaneous emission rates observed during individual satellite overpasses, which do not sample night-time emissions. The method also allows multiple independent estimates for the same emission period from imagery taken on consecutive days. Repeated fire-emitted AOT estimates for the same emission period over 2 to 3 days of plume evolution show increases in plume optical thickness by approximately 10% for boreal events and by 40% for temperate emissions. Inferred median water volume fractions for aged boreal and temperate smoke observations are 0.15 and 0.47 respectively, indicating that the increased AOT is partly explained by aerosol water uptake. TPM emission estimates for boreal events, which predominantly burn during daytime, agree closely with bottom-up Global Fire Emission Database (GFEDv4) and Global Fire Assimilation System (GFASv1.0) inventories, but are lower by approximately 30% compared to Quick Fire Emission Dataset (QFEDv2) PM2 : 5, and are higher by approximately a factor of 2 compared to Fire Energetics and Emissions Research (FEERv1) TPM estimates. The discrepancies are larger for temperate fires, which are characterized by lower median fire radiative power values and more significant night-time combustion. The TPM estimates for this study for the biome are lower than QFED PM2 : 5 by 35 %, and are larger by factors of 2.4, 3.2 and 4 compared with FEER, GFED and GFAS inventories respectively. A large underestimation of TPM emission by bottom-up GFED and GFAS indicates low biases in emission factors or consumed biomass estimates for temperate fires. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000402320300002 |
WOS关键词 | AEROSOL OPTICAL-PROPERTIES ; BIOMASS BURNING PARTICLES ; SKY RADIANCE MEASUREMENTS ; FIRE RADIATIVE ENERGY ; SMOKE-AEROSOL ; PHYSICAL-PROPERTIES ; LIGHT-ABSORPTION ; DEPTH RETRIEVALS ; ORGANIC-CARBON ; TRACE GASES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20551 |
专题 | 地球科学 |
作者单位 | Swansea Univ, Coll Sci, Geog Dept, Singleton Pk, Swansea SA2 8PP, W Glam, Wales |
推荐引用方式 GB/T 7714 | Nikonovas, Tadas,North, Peter R. J.,Doerr, Stefan H.. Particulate emissions from large North American wildfires estimated using a new top-down method[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(10). |
APA | Nikonovas, Tadas,North, Peter R. J.,&Doerr, Stefan H..(2017).Particulate emissions from large North American wildfires estimated using a new top-down method.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(10). |
MLA | Nikonovas, Tadas,et al."Particulate emissions from large North American wildfires estimated using a new top-down method".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.10(2017). |
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