135.4 NPI_NOX_Australia_2017_2018
| metadata_field | |
|---|---|
| shortname | NPI_NOX_Australia_2017_2018 |
| title | NPI_NOX_Australia_2017_2018 |
| creator | Department of Climate Change, Energy, the Environment and Water (DCCEEW) |
| contact_email | car.data@sydney.edu.au |
| abstract |
NOx point source emission density and sites. Used by Dr Luke Knibbs to develop the automated Satellite and Landuse regression models used in Knibbs et al. 2014. A national satellite-based land-use regression model for air pollution exposure assessment in Australia. Environmental Research 135 (2014) 204-211 This is downloaded from https://data.gov.au/data/dataset/043f58e0-a188-4458-b61c-04e5b540aea4 but filtered to air-pollutants, and more information can be found here http://www.npi.gov.au/npi-data/search-npi-data. |
| additional_metadata | /home/public_share_data/ResearchData_CAR/Environment_General/NPI/NPI_NOX_Australia_2017_2018 |
| alternate_identifier | https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/NPI/NPI_NOX_Australia_2017_2018 |
| associated_party | |
| access_rules | Public. CC BY 4.0 International Licence. |
| Recommended Citation | Department of Climate Change, Energy, the Environment and Water (2021): National Pollutant Inventory point source air-based emissions for NOx Australia 2017-2018. Australian Government. Downloaded from CARDAT (dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/NPI/NPI_NOX_Australia_2017_2018 |
| licence_code | CCBY |
| accessibility | CAR |