Skip to page navigation menu Skip entire header
Brown University
Skip 13 subheader links

Understanding Urban Air: The Case for Hyperlocal Air Quality Monitoring

Description

Abstract:
Common air quality pollutants such as particulate matter, nitrogen dioxide, and ground- level ozone exhibit immense intra-urban variability. Though they are useful for regulatory compliance, the coarse spatial resolution of government-operated air quality monitoring networks is insufficient for characterizing neighborhood-scale pollution disparities and their related health burdens. Hyperlocal monitoring networks seek to fill in those gaps. In this work, hyperlocal data from the Berkeley Environment, Air-quality, and CO2 Network is utilized to investigate the effects of COVID-19 lockdown measures in Oakland, CA, and to demonstrate the capability of hyperlocal monitoring stations to tease out local pollution sources. Data from the Rhode Island Department of Environmental Management (DEM)- operated network in the city of Providence collected over the same time period is analyzed to illustrate the inadequacy of compliance monitoring networks for understanding similar perturbations at local scales.
Notes:
Senior thesis (ScB)--Brown University, 2021
Concentration: Geology-Biology

Access Conditions

Use and Reproduction
All rights reserved
Rights
In Copyright
Restrictions on Use
All Rights Reserved

Citation

Berg, Grace, "Understanding Urban Air: The Case for Hyperlocal Air Quality Monitoring" (2021). Breathe Providence Digital Collection, Earth, Environmental and Planetary Sciences Theses and Dissertations. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/hhr5-mf64

Relations

Collections: