globalchange  > 影响、适应和脆弱性
DOI: 10.1002/jgrd.50854
论文题名:
A multitower measurement network estimate of California's methane emissions
作者: Jeong S.; Hsu Y.-K.; Andrews A.E.; Bianco L.; Vaca P.; Wilczak J.M.; Fischer M.L.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期:19
起始页码: 11339
结束页码: 11351
语种: 英语
英文关键词: atmospheric transport ; emission inventory ; greenhouse gas ; inverse model ; methane
Scopus关键词: Atmospheric movements ; Gas emissions ; Greenhouse gases ; Landforms ; Methane ; Stochastic models ; Weather forecasting ; Atmospheric observations ; Atmospheric transport ; Emission inventories ; Inverse modeling ; Lagrangian transport ; Multisite observations ; South Coast Air basins ; Weather research and forecasting ; Carbon dioxide ; atmospheric pollution ; atmospheric transport ; database ; emission inventory ; error analysis ; greenhouse gas ; inverse analysis ; methane ; mixing ratio ; California ; Central Valley [California] ; United States
英文摘要: We present an analysis of methane (CH4) emissions using atmospheric observations from five sites in California's Central Valley across different seasons (September 2010 to June 2011). CH4 emissions for spatial regions and source sectors are estimated by comparing measured CH 4 mixing ratios with transport model (Weather Research and Forecasting and Stochastic Time-Inverted Lagrangian Transport) predictions based on two 0.1° CH4 (seasonally varying "California- specific" (California Greenhouse Gas Emission Measurements, CALGEM) and a static global (Emission Database for Global Atmospheric Research, release version 42, EDGAR42)) prior emission models. Region-specific Bayesian analyses indicate that for California's Central Valley, the CALGEM- and EDGAR42-based inversions provide consistent annual total CH4 emissions (32.87 ± 2.09 versus 31.60 ± 2.17 Tg CO2eq yr-1; 68% confidence interval (CI), assuming uncorrelated errors between regions). Summing across all regions of California, optimized CH4 emissions are only marginally consistent between CALGEM- and EDGAR42-based inversions (48.35 ± 6.47 versus 64.97 ± 11.85 Tg CO2eq), because emissions from coastal urban regions (where landfill and natural gas emissions are much higher in EDGAR than CALGEM) are not strongly constrained by the measurements. Combining our results with those from a recent study of the South Coast Air Basin narrows the range of estimates to 43-57 Tg CO2eq yr-1 (1.3-1.8 times higher than the current state inventory). These results suggest that the combination of rural and urban measurements will be necessary to verify future changes in California's total CH4 emissions. Key Points Multisite observations constrain Central Valley CH4 emissions California total emissions are likely 1.3-1.8 times the state inventory Additional measurements will help guide CH4 mitigation activities ©2013. American Geophysical Union. All Rights Reserved.
资助项目: DE-AC02-05CH11231
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63270
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, MS 90R2002, 1 Cyclotron Rd., Berkeley, CA 94720, United States; California Air Resources Board, Sacramento CA, United States; Earth System Research Laboratory, NOAA, Boulder CO, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder CO, United States; Department of Anthropology, Geography and Environmental Studies, California State University East Bay, Hayward CA, United States

Recommended Citation:
Jeong S.,Hsu Y.-K.,Andrews A.E.,et al. A multitower measurement network estimate of California's methane emissions[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(19)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Jeong S.]'s Articles
[Hsu Y.-K.]'s Articles
[Andrews A.E.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Jeong S.]'s Articles
[Hsu Y.-K.]'s Articles
[Andrews A.E.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Jeong S.]‘s Articles
[Hsu Y.-K.]‘s Articles
[Andrews A.E.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.