Understanding Urban Air: The Case for Hyperlocal Air Quality Monitoring 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. Berg, Grace creator Hastings, Meredith thesis advisor Timothy, Herbert reader Walters, Wendell reader Brown University. Earth, Environmental, and Planetary Sciences sponsor 2021 text_resources born digital English Senior thesis (ScB)--Brown University, 2021 Geology-Biology theses Environmental justice Hyperlocal Air Quality Monitoring Breathe Providence Particulate Matter (PM2.5) ArcGIS Air quality management Air--Pollution--Measurement All rights reserved In Copyright All Rights Reserved 10.26300/hhr5-mf64