EVがベイエリアの二酸化炭素排出量を減らす(EVs are lowering Bay Area’s carbon footprint)


2024-04-04 カリフォルニア大学バークレー校(UCB)

カリフォルニア大学バークレー校の大気化学者が設立したCO2モニタリングネットワークは、サンフランシスコ湾エリアでの電気自動車の普及が地域の炭素排出を減少させている最初の証拠を記録しました。このネットワークは、Ronald Cohen教授によって提唱され、東ベイのほとんどにセンサーが設置されています。2018年から2022年にかけての測定結果によれば、電気自動車の普及によりCO2排出が年間1.8%減少し、車両の排出量が年間2.6%減少したことが示されました。


ベイエリアのCO2排出量の持続的削減 2018-2022 Sustained Reductions of Bay Area CO2 Emissions 2018–2022

Naomi G. Asimow, Alexander J. Turner, and Ronald C. Cohen
Environmental Science & Technology  Published:April 4, 2024


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 (BEACO2N), 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.