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DOI10.1021/acs.est.3c09642
Sustained Reductions of Bay Area CO2 Emissions 2018-2022
发表日期2024
ISSN0013-936X
EISSN1520-5851
英文摘要Cities represent a significant and growing portion of global carbon dioxide (CO2) emissions. Quantifying urban emissions and trends over time is needed to evaluate the efficacy of policy targeting emission reductions as well as to understand more fundamental questions about the urban biosphere. A number of approaches have been proposed to measure, report, and verify (MRV) changes in urban CO2 emissions. Here we show that a modest capital cost, spatially dense network of sensors, the Berkeley Environmental Air Quality and CO2 Network (BEACO(2)N), in combination with Bayesian inversions, result in a synthesis of measured CO2 concentrations and meteorology to yield an improved estimate of CO2 emissions and provide a cost-effective and accurate assessment of CO2 emissions trends over time. We describe nearly 5 years of continuous CO2 observations (2018-2022) in a midsized urban region (the San Francisco Bay Area). These observed concentrations constrain a Bayesian inversion that indicates the interannual trend in urban CO2 emissions in the region has been a modest decrease at a rate of 1.8 +/- 0.3%/year. We interpret this decrease as primarily due to passenger vehicle electrification, reducing on-road emissions at a rate of 2.6 +/- 0.7%/year.
英文关键词greenhouse gas emissions; climate change; inversemodeling; carbon dioxide; sensor networks
语种英语
WOS研究方向Engineering ; Environmental Sciences & Ecology
WOS类目Engineering, Environmental ; Environmental Sciences
WOS记录号WOS:001197373700001
来源期刊ENVIRONMENTAL SCIENCE & TECHNOLOGY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/294394
作者单位University of California System; University of California Berkeley; University of California System; University of California Berkeley
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. Sustained Reductions of Bay Area CO2 Emissions 2018-2022[J],2024.
APA (2024).Sustained Reductions of Bay Area CO2 Emissions 2018-2022.ENVIRONMENTAL SCIENCE & TECHNOLOGY.
MLA "Sustained Reductions of Bay Area CO2 Emissions 2018-2022".ENVIRONMENTAL SCIENCE & TECHNOLOGY (2024).
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