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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.

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A national satellite-based land-use regression model for air pollution exposure assessment in Australia

TL;DR: In this article, the authors developed a model to predict nitrogen dioxide (NO2) concentrations with national coverage of Australia by using satellite observations of tropospheric NO2 columns combined with other predictor variables.
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Global intraurban intake fractions for primary air pollutants from vehicles and other distributed sources.

TL;DR: The global mean urban iF reported here is roughly twice as large as previous estimates for cities in the United States and Europe, and country-average iF values vary by a factor of 3 among the 10 nations with the largest urban populations.
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Changes in Transportation-Related Air Pollution Exposures by Race-Ethnicity and Socioeconomic Status: Outdoor Nitrogen Dioxide in the United States in 2000 and 2010

TL;DR: Findings suggest that absolute NO2 Exposure disparities by race-ethnicity decreased from 2000 to 2010, but relative NO2 exposure disparities persisted, with higher NO2 concentrations for nonwhites than whites in 2010.
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Effects of income and urban form on urban NO2: global evidence from satellites.

TL;DR: It is found that urban NO(2) levels vary nonlinearly with income (Gross Domestic Product), following an "environmental Kuznets curve"; it is estimated that if high- Income countries followed urban pollution-per-income trends observed for low-income countries, NO( 2) concentrations in high-income cities would be ∼10× larger than observed levels.
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Environmental inequality: Air pollution exposures in California's South Coast Air Basin

TL;DR: In this paper, the authors quantified environmental inequality using linear regression, based on results from a recent mobility-based exposure model for 25,064 individuals in California's South Coast Air Basin.