Modeling Of Carbon Dioxide In Portland
Presentation Type
Poster
Start Date
5-8-2024 11:00 AM
End Date
5-8-2024 1:00 PM
Subjects
Air quality, Carbon dioxide -- Research -- Portland (Or.), Climatic changes
Advisor
Christopher Butenhoff
Student Level
Masters
Abstract
Cities rely on accurate CO2 data and urban air-quality simulations for both policy making and pollution monitoring and control. Despite the need for accurate data sets and validated models, existing CO2 inventories are known to be flawed and reliable data sets are limited.
We use WRF-Chem to analyze and simulate CO2 mixing and transport in the Portland-metro area. We use existing CO2 measurements from PSU, Sauvie Island, and SE Portland, combined with weather measurements from the EPA to set starting conditions for our model. By identifying and using weather and particle data from nearby stations as input, we simulate the flow of chemicals in the atmosphere, comparing it to measured data.
By quantifying and validating CO2 emissions in Portland, we provide cities with the tools needed to better inform urban policy development, verify pollution targets, and improve overall urban air quality. Additionally, this analysis contributes to the scientific understanding of urban atmospheric conditions and enables city leaders to make more informed policy decisions that benefit local residents and the worldwide environment.
Creative Commons License or Rights Statement
This work is licensed under a Creative Commons Attribution 4.0 License.
Persistent Identifier
https://archives.pdx.edu/ds/psu/41916
Modeling Of Carbon Dioxide In Portland
Cities rely on accurate CO2 data and urban air-quality simulations for both policy making and pollution monitoring and control. Despite the need for accurate data sets and validated models, existing CO2 inventories are known to be flawed and reliable data sets are limited.
We use WRF-Chem to analyze and simulate CO2 mixing and transport in the Portland-metro area. We use existing CO2 measurements from PSU, Sauvie Island, and SE Portland, combined with weather measurements from the EPA to set starting conditions for our model. By identifying and using weather and particle data from nearby stations as input, we simulate the flow of chemicals in the atmosphere, comparing it to measured data.
By quantifying and validating CO2 emissions in Portland, we provide cities with the tools needed to better inform urban policy development, verify pollution targets, and improve overall urban air quality. Additionally, this analysis contributes to the scientific understanding of urban atmospheric conditions and enables city leaders to make more informed policy decisions that benefit local residents and the worldwide environment.