Air Pollution: Nitrogen Dioxide (NO2)

The analysis of Air Pollution via estimates of outdoor concentrations for NO2 and O3 employs Land Use Regression (LUR) models from the Center for Air, Climate, and Energy Solutions to estimate outdoor concentrations of O3 (ozone) and NO2 pollution across the contiguous United States from 1979 to 2020 [1]. The models utilized provide estimates for various air pollutants, including O3, CO, SO2, NO2, PM10, PM2.5, and PN (particle number) [2]. The data are derived from empirical models developed by the Center for Air, Climate, and Energy Solutions (CACES) and are publicly available for non-commercial use. In the methodology used for aggregating and formatting ozone (O3) and nitrogen dioxide (NO2) data based on county dimensions, files adhere to a structured format provided by the Center for Air, Climate, and Energy Solutions. This format includes unique geographic codes for spatial referencing, alongside attributes such as prediction year, state abbreviation, pollutant type, population-weighted concentration estimates (pred_wght), and population-weighted latitude and longitude coordinates (lat/lon). These attributes ensure compatibility with Geographic Information Systems (GIS) and facilitate spatial analysis and mapping for research and policy applications.