US Annual PM 2.5 Components per ZCTA

This dataset provides comprehensive insights into the annual distribution of PM2.5 (Particulate Matter with a diameter of 2.5 micrometers or smaller) components across different Zip Code Tabulation Areas (ZCTAs). PM2.5 is a critical air pollutant with potential health and environmental impacts. This data highlights the individual components that contribute to PM2.5 levels, offering valuable information for air quality research and policymaking. This dataset is a processed and aggregated from Randall Martin's PM2.5 componets data (https://sites.wustl.edu/acag/datasets/surface-pm2-5/). The processing involves applying a downscaling rasterization strategy using TIGER/Line Shapefiles. The dataset covers various PM2.5 components, including but not limited to: BC (Black Carbon): A fine particulate matter produced by incomplete combustion of carbon-based fuels. NH4 (Ammonium): A compound formed from ammonia gas, commonly found in airborne particles. NIT (Nitrate): Nitric acid and nitrate salts, which are major constituents of PM2.5 particles. OM (Organic Matter): Carbon-containing compounds from organic sources, contributing to particle mass. SO4 (Sulfate): Sulfuric acid and sulfate salts, originating from industrial and natural sources. SOIL (Soil Dust): Particles from soil erosion and mineral dust suspended in the air. SS (Sea Salt): Particles generated from ocean spray, containing various minerals. The data is organized by year and ZCTA, providing annual averages for each PM2.5 component. This dataset aids in understanding the composition and variations of PM2.5 across different geographical areas. It plays a crucial role in studying pollution sources, assessing health risks, and formulating air quality regulations. This dataset represents an aggregation of Randall Martin's ground-level fine particulate matter (PM2.5) data at the ZCTA level. The processing of this dataset involves the application of a downscaling rasterization strategy using TIGER/Line Shapefiles. We have established a reproducible GitHub pipeline for this dataset, which can be accessed here: https://github.com/NSAPH-Data-Processing/pm25_components_randall_martin.