Published May 25, 2023 | Version 2.0
Dataset Open

INEMA: High resolution inventory of atmospheric emissions of Chile

  • 1. Universidad de Chile, Santiago, Chile
  • 2. Universidad Técnica Federico Santa María, Valparaíso, Chile

Description

Brief description

This study presents the first high-resolution national inventory of anthropogenic emission for Chile (INEMA from spanish Inventario Nacional de EMisiones Antropogénicas). INEMA emission dataset considers emissions for  Vehicular, point sources (industrial, energy, and other sectors), residential, forest fires, and agricultural waste burning sectors estimated for 2015–2020 and spatially distributed onto a 0.01°x0.01° high-resolution grid. For all sectors, the pollutants included are CO2, NOx, SO2, CO, VOCs, NH3, PM10, and PM2.5. Also, CH4, N2O, and black carbon (BC) are included for transport, forest fires, agricultural waste burning, and residential sources.

Emissions are classified on IPCC categories:

Sector IPCC codes
Energy production 1A1
Industrial Energy consumption 1A2
On road transport energy consumption 1A3b
Comercial energy consumption 1A4a
residential firewood consumption 1A4b
Agriculture energy consumption 1a4c
Industrial processes 2
Agriculture waste burning 3F
Forest fires 4A1b.iii

This work compiles new activity data and emissions factors and distributes them geographically based on census, Chile´s road network and CONAF information. To consult the main methodological considerations and results of the previous version of INEMA, review the article by Alamos et al.(2022).

This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information.

Metadata

Each .tar file contain netcdf (.nc) files for each pollutant of the sector and year of the .tar file. Netcdf  contains annual total emissions for the pollutant and year indicated per grid cell 

The emission grid consists of Chilean territory in WGS84 projection (lon-lat) with a spatial resolution of 0.01 * 0.01  degrees (lon x lat). The extension boundaries of the grid are: [(-76-56.3), (-66,-17)]

The unit in the .nc files is Gigagrames per year [Gg/year]

The dataset is described in 

Álamos, N., Hunneus, N., Opazo, M., Osses, M., Puja, S., Pantoja, N., Calvo, R., Denier Van Der Gon, H.A.C., Schueftan, A., Reyes, R., High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile. Earth System Science Data14(1), 361-379. 2022

 

Files

2015.zip

Files (230.0 MB)

Name Size Download all
md5:56163b8109d416a50287d4dbc85f9a89
38.1 MB Preview Download
md5:153365f985238590e73d5b76071ca09a
38.3 MB Preview Download
md5:945265cdb6b8b9117bd5e94124bd8e00
38.5 MB Preview Download
md5:2bf866b97b1855ce8f1f29a67001b627
38.2 MB Preview Download
md5:110554cdf1b40c428f34b0583913e62e
38.4 MB Preview Download
md5:fba91c3aa72d8fa70807a2c6bf866315
38.4 MB Preview Download
md5:f1a8e1a2647817a652d5810ac88862dd
92.2 kB Preview Download

Additional details

References

  • Álamos, N., Hunneus, N., Opazo, M., Osses, M., Puja, S., Pantoja, N., Calvo, R., Denier Van Der Gon, H.A.C., Schueftan, A., Reyes, R., High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile. Earth System Science Data, 14(1), 361-379. 2022