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Hrycyna et al. 2022 - Satellite observations of NO2 indicate legacy impacts of Redlining in US Midwestern cities

Authors: Hrycyna, Elizabeth; Heskel, Mary; Mergenthal, Jennings; Noor, Saiido;

Hrycyna et al. 2022 - Satellite observations of NO2 indicate legacy impacts of Redlining in US Midwestern cities

Abstract

This dataset contains remotely sensed estimates of nitrogen dioxide (NO2, via TROPOMI accessed via Google Earth Engine) for HOLC neighborhoods in 11 US Midwestern cities, and corresponding coarse geographic and demographic data of those cities. NO2 data is reported daily for the entire calendar year of 2019, geographic and demographic variables are fixed for each city for the entire year. Each HOLC-graded neighborhood included in this dataset was filtered to be greater than 2 km2. The number of pixels used to calculate the area-weighted mean of NO2 is also reported, as is the area of the neighborhood. The dataset has also been filtered for observations that did not pass quality filters for L3 TROPOMI data. The cities included in the study are: Chicago IL, Milwaukee WI, Saint Paul MN, Minneapolis MN, Indianapolis IN, Cleveland OH, Wichita KS, Greater Kansas City KS and MO, Columbus OH, Detroit MI, and Omaha NE. HOLC neighborhood shapefiles were obtained from the Mapping Inequality project website, hosted by the University of Richmond, and resulting polygons used in analysis were created by dissolving shared boundaries in Google Earth Engine. City populations and population density were obtained from the US 2010 Census data. All data was collected and organized to assess if current day NO2 levels varied with HOLC grades in these major cities. Robert K. Nelson, LaDale Winling, Richard Marciano, Nathan Connolly, et al., “Mapping Inequality,” American Panorama, ed. https://dsl.richmond.edu/panorama/redlining/#loc=5/39.1/-94.58&text=downloads Dataset for all analyses presented in Hrycyna et al. Columns described below: HOLC_grade: A, B, C, D (neighborhood grade categories obtained from Mapping Inequality project, indicate historic HOLC designations of neighborhoods). HOLCAreaKm2: continuous area value in km2 of the HOLC neighborhood polygon, which may be more than one HOLC designated polygon merged from the shapefiles downloaded from Mapping Inequality. pixelcount: integer values of the number of TROPOMI NO2 pixels used to produce the area-weighted mean NO2 value. NO2_mol_m2: area-weighted mean value of TROPOMI NO2 for that HOLC neighborhood polygon in mol m-2 system.index: designated date and time boundary of the observation collected via TROPOMI date: date of observation month: month of observation City: city in the US Midwest State: state for the city of focus Population: urban population obtained from 2010 census PopDensity: urban population density obtained from 2010 census, based on modern city boundaries (in people per square miles) CityArea_mi2: Area of the city of interest, in square miles. ln_NO2: natural log transformed NO2 values in mol m-2 NO2_DU: NO2 value converted from mol m-2 to DU (Dobsons Units, converted by multiplying 2241.15) NO2_lnDU: natural log transformed NO2 values in DU Comment: We have submitted the manuscript to Elementa, where it is currently undergoing revisions. We will update references when the final DOI of the manuscript is available.

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Keywords

redlining, remote sensing, HOLC, urban air quality, Mapping Inequality, TROPOMI, nitrogen dioxide (NO2), environmental justice

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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