(57b) Assessing Vehicle Contribution for CO and CO2 Emission in Los Angels Using BECO2N Sensor Network

In the United States, transportation accounts for the majority of anthropogenic CO and CO2 emissions in metropolitan areas. Urban transportation emissions must be reduced as soon as possible to meet climate goals set by international treaties, national policies, and municipal governments. Transportation emissions continue to be one of the most significant drivers to poor air quality (AQ) and AQ inequity. The Berkeley Air Quality and CO2 Network (BEACO2N) is collecting data of emissions in the Los Angeles area. We used BECO2N and PEMS data to determine the contribution of automobiles in the LA region near the BECO2N node in this study. In comparison to the multiple linear regression method, we recommend using a sequential neural network to learn about the contribution of the vehicles sector. We found that meteorological characteristics have the least impact on CO and CO2 emissions in the Los Angeles area.