| Autor: |
Kim J; Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California 94720, USA., Turner AJ; Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California 94720, USA., Fitzmaurice HL; Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California 94720, USA., Delaria ER; Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, USA., Newman C; Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, USA., Wooldridge PJ; Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, USA., Cohen RC; Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California 94720, USA.; Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, USA. |
| Abstrakt: |
Transportation emissions are the largest individual sector of greenhouse gas (GHG) emissions. As such, reducing transportation-related emissions is a primary element of every policy plan to reduce GHG emissions. The Berkeley Environmental Air-quality and CO 2 Observation Network (BEACO 2 N) was designed and deployed with the goal of tracking changes in urban CO 2 emissions with high spatial (∼1 km) and temporal (∼1 hr) resolutions while allowing the identification of trends in individual emission sectors. Here, we describe an approach to inferring vehicular CO 2 emissions with sufficient precision to constrain annual trends. Measurements from 26 individual BEACO 2 N sites are combined and synthesized within the framework of a Gaussian plume model. After removing signals from biogenic emissions, we are able to report normalized annual emissions for 2018-2020. A reduction of 7.6 ± 3.5% in vehicular CO 2 emissions is inferred for the San Francisco Bay Area over this 2 year period. This result overlaps with, but is slightly larger than, estimates from the 2017 version of the California Air Resources Board EMFAC emissions model, which predicts a 4.7% decrease over these 2 years. This demonstrates the feasibility of independently and rapidly verifying policy-driven reductions in GHG emissions from transportation with atmospheric observations in cities. |
