PM2.5 surcafe air concentrations (1998-2021) and human emissions (1993-2020) in Argentina by Census Block

Description

This data set includes data on PM2.5 surface air concentration and PM2.5 emissions from human sources by census block in Argentina. Census block are the minimal administrative unit. Census blocks can be combined in departments and provinces, and thus this data set can be used along with other sociodemographical and health datasets

Steps to reproduce

Regarding PM2.5 emissions, a high-resolution seasonal and decadal inventory of anthropogenic gas-phase and particle emissions for Argentina (GEEA-AEIv3.0M) was used. All the details can be found in Puliafito et al.. Still, in short, the inventory contains information about the activities performed on the continental territory and close coastal maritime area of the country (53- 73º west longitude and 21-55º south latitude) [1]. The data were organized as a gridded map with a resolution of 0.025x0.025º and produced for each sector of activity considered an emission source. The analysis results were shown as a single three-dimensional map derived from applying specific emission factors for each source and activity included. Only monthly mean data for the year 2010 and all emission sources cited in the inventory have been considered in the present analysis, i.e., power and heat production, fuel production, road transportation, domestic aviation, railroad and navigation, residual, commercial and public office combustion, fuel use in agriculture, production of mineral, chemical, and metals, agricultural and livestock feeding, fire and burning [1]. PM2.5 monthly mean concentration data for Argentina were obtained from the Atmospheric Composition Analysis Group (V5.GL.03 dataset), Surface PMlas 2.5 (https://sites.wustl.edu/acag/datasets/surface-pm2-5/#V5.GL.03) [2]. The estimated values of fine particulate matter at ground level are obtained by combining Aerosol Optical Depth (AOD) retrievals from NASA MODIS, MISR, and SeaWiFS instruments with the GEOS-Chem chemical transport model and calibrated with global ground observations using Geographically Weighted Regression (GWR). The data are provided in NetCDF files, with 0.01° × 0.01° resolution and expressed in ug/m3. In this study, only monthly mean values for 2010 were computed. References 1. Puliafito, E, T Bolano-Ortiz, R Fernandez , and et al. "High-Resolution Seasonal and Decadal Inventory of Anthropogenic Gas-Phase and Particleemissions for Argentina." Earth Systems Scientific Data (2021). 2. van Donkelaar, A., M. S. Hammer, L. Bindle, M. Brauer, J. R. Brook, M. J. Garay, N. C. Hsu, O. V. Kalashnikova, R. A. Kahn, C. Lee, R. C. Levy, A. Lyapustin, A. M. Sayer, and R. V. Martin. "Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty." Environ Sci Technol 55, no. 22 (2021): 15287-300.

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