Observational Inferences of NO<sub><i>x</i></sub> and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area

We present the seasonal variations of enhancement ratios (ERs, i.e., ΔNOx/ΔCO2 and ΔCO/ΔCO2) as a function of distance from highways in the San Francisco Bay Area, using observations from the Berkeley Environmental Air Quality and CO2 Network (BEACO2N) at 40 locations. The spatial patterns exhibit exponential distance-decay relationships, with higher NOx and CO ERs near highways and more uniform ERs at distances beyond 3 km. These patterns are used to infer emission factors (EFs) for transportation and residential buildings. BEACO2N-derived EFs for CO (7.8 ± 0.6 ppbv/ppmv) and NOx (1.0 ± 0.02 ppbv/ppmv) from transportation agree with inventory estimates. In contrast, the residential NOx EF (0.15 ± 0.01 ppbv/ppmv) is four times lower than inventory estimates, and the residential CO EF (4.3 ± 0.3 ppbv/ppmv) is 33% lower than the California state inventory estimate.

Authors

Institutions

Publication Details

Journal
ACS ES&T Air
Published
2025-07-24
DOI
https://doi.org/10.1021/acsestair.5c00004
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Observational Inferences of NOx and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area

R. C. Cohen, Milan Y. Patel, Anna R. Winter, Naomi G. Asimow et al.
1 links
ACS ES&T Air
Vehicle emissions and performance
article

Observational Inferences of NOx and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area

R. C. Cohen, Milan Y. Patel, Anna R. Winter, Naomi G. Asimow, Yishu Zhu
article en

Abstract

We present the seasonal variations of enhancement ratios (ERs, i.e., ΔNOx/ΔCO2 and ΔCO/ΔCO2) as a function of distance from highways in the San Francisco Bay Area, using observations from the Berkeley Environmental Air Quality and CO2 Network (BEACO2N) at 40 locations. The spatial patterns exhibit exponential distance-decay relationships, with higher NOx and CO ERs near highways and more uniform ERs at distances beyond 3 km. These patterns are used to infer emission factors (EFs) for transportation and residential buildings. BEACO2N-derived EFs for CO (7.8 ± 0.6 ppbv/ppmv) and NOx (1.0 ± 0.02 ppbv/ppmv) from transportation agree with inventory estimates. In contrast, the residential NOx EF (0.15 ± 0.01 ppbv/ppmv) is four times lower than inventory estimates, and the residential CO EF (4.3 ± 0.3 ppbv/ppmv) is 33% lower than the California state inventory estimate.

ACS ES&T AirVol. 2(8)
Planetary Science Institute (US), University of California, Berkeley (US)
Climate action
Openalex Percentile: Top 81%
Vehicle emissions and performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.