J
Julian D. Marshall
Researcher at University of Washington
Publications - 229
Citations - 13935
Julian D. Marshall is an academic researcher from University of Washington. The author has contributed to research in topics: Population & Air quality index. The author has an hindex of 57, co-authored 206 publications receiving 10104 citations. Previous affiliations of Julian D. Marshall include University of British Columbia & University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
National Land Use Regression Model for NO2 Using Street View Imagery and Satellite Observations.
TL;DR: In this article , the authors developed two types of models: GSV-only models and GSV + OMI models, which also include satellite observations of NO2 and showed that street view imagery alone may provide sufficient information to explain NO2 variation.
Inhalation intake of ambient air pollution in California's South Coast Air Basin
Julian D. Marshall,Patrick W. Granvold,Abigail S. Hoats,Thomas E. McKone,Thomas E. McKone,Elizabeth Deakin,William W. Nazaroff,William W. Nazaroff +7 more
TL;DR: In this paper, the authors computed distributional characteristics of the inhalation intake of five pollutants for a group of ~25,000 people (~29,000 person-days) living in California's South Coast Air Basin.
Posted ContentDOI
Bias corrections for speciated and source-resolved PM2.5 chemical transport model simulations using a geographically weighted regression
Carlos Hernandez,Ksakousti Skyllakou,Pablo Garcia Rivera,Brian Dinkelacker,Julian D. Marshall,Arden Pope,Allen L. Robinson,Spyros N. Pandis,Peter Adams +8 more
TL;DR: In this article, the authors use geographically weighted regression to predict and correct the bias in source-resolved PM2.5 exposure estimates using ground-level monitors from the CSN and IMPROVE networks.
Journal ArticleDOI
Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments.
Lara P. Clark,V. Sreekanth,V. Sreekanth,Bujin Bekbulat,Michael Baum,Songlin Yang,P. Baylon,Timothy Gould,Timothy V. Larson,Edmund Seto,Chris D Space,Julian D. Marshall +11 more
TL;DR: Preliminary results suggest robust reproducibility (r = 0.99) and limits of detection appropriate for longer-term (~1–3 months) monitoring in households that use solid fuels, and suggest high precision.
Journal ArticleDOI
Racial-ethnic exposure disparities to airborne ultrafine particles in the United States
TL;DR: In this article , the authors investigated exposure disparities by race-ethnicity and income across the continental United States, and found that exposure disparities are structural and strongly tied to where certain subsets of the population live and that simply reducing PNC emissions nationwide will not reduce these disparities.