gis-predictors-for-air-quality-models

Table of Contents

0.1 Details of all candidate predictor variables 1

0.2 GIS variable definitions 13



0.1 Details of all candidate predictor variables

We conducted a targeted literature review to identify potential candidate predictor variables. We then identified datasets from both local collections (e.g. the Australian Government Public Sector Mapping Agency) and international sources (e.g. NASA). The datasets are listed in Table 1. We collected the relevant data in formats that could be combined in a Geographical Information System (GIS) database. All GIS data were extracted for the monitor locations and a grid of points for estimation approximately every 100 metres.

Table 1: GIS data used as predictor variables

Predictor type

variable_name

Project ID

Dataset ID

Citation

Response variable

no2_annual

Air_Pollution_Monitoring_Stations_National_RESTRICTED

CARs_National_Air_Pollution_Database

Centre for Air pollution, energy and health Research, 2021. National Air Pollution Monitoring Database, derived from regulatory monitor data from NSW DPIE, Vic EPA, Qld DES, SA EPA, WA DEWR, Tas EPA, NT EPA, and ACT Health. Downloaded from the Centre for Air pollution, energy and health Research [accessed YYYY-MM-DD] DOI 10.17605/OSF.IO/JXD98

Response variable

pm25_annual

Air_Pollution_Monitoring_Stations_National_RESTRICTED

CARs_National_Air_Pollution_Database

Centre for Air pollution, energy and health Research, 2021. National Air Pollution Monitoring Database, derived from regulatory monitor data from NSW DPIE, Vic EPA, Qld DES, SA EPA, WA DEWR, Tas EPA, NT EPA, and ACT Health. Downloaded from the Centre for Air pollution, energy and health Research [accessed YYYY-MM-DD] DOI 10.17605/OSF.IO/JXD98

Response variable

pm10_annual

Air_Pollution_Monitoring_Stations_National_RESTRICTED

CARs_National_Air_Pollution_Database

Centre for Air pollution, energy and health Research, 2021. National Air Pollution Monitoring Database, derived from regulatory monitor data from NSW DPIE, Vic EPA, Qld DES, SA EPA, WA DEWR, Tas EPA, NT EPA, and ACT Health. Downloaded from the Centre for Air pollution, energy and health Research [accessed YYYY-MM-DD] DOI 10.17605/OSF.IO/JXD98

Satellite-based air pollution estimates

sat_no2

Satellite_OMI_NO2

Sat_OMI_NO2_LK_2005_2019

Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Edward A. Celarier, Eric J.Bucsela, William H. Swartz, Joanna Joiner and the OMI core team (2019), OMI/Aura NO2 Cloud-Screened Total and Tropospheric Column L3 Global Gridded 0.25 degree x 0.25 degree V3, NASA Goddard Space Flight Center, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: mid 2020, 10.5067/Aura/OMI/DATA3007 Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/6237761789

Satellite-based air pollution estimates

sat_pm25

Atmospheric_Composition_Analysis_Group

annual_surface_pm25_concentrations_2005_2018

Atmospheric Composition Analysis Group, 2020. Estimated global annual surface fine particulate matter (PM2.5) concentrations for other regions, 2005-2018. Available from https://sites.wustl.edu/acag/datasets/surface-pm2-5/ [accessed late 2020]. Downloaded from the Centre for Air pollution, energy and health Researchhttps://cloudstor.aarnet.edu.au/plus/f/6237879111

Position and Elevation

pos_elevation

Digital_Elevation_Model_GA

SRTM_1sec_Smooth_DEM_National

Gallant, J., Wilson, N., Dowling, T., Read, A., Inskeep, C. 2011. SRTM-derived 1 Second Digital Elevation Models Version 1.0. Record 1. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/72759

Position and Elevation

longitude

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Position and Elevation

latitude

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Position and Elevation

lon_metres

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Position and Elevation

lat_metres

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Position and Elevation

pos_distocean

Water_bodies_GA

Euclidean_Distance_Coastline_Australia_2011

2011. Euclidean Distance to the Australian Coastline. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/71990. Retrieved from Centre for Air pollution, energy and health Research. https://cloudstor.aarnet.edu.au/plus/f/

Monitor properties

monitor_type

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Monitor properties

alt_name

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Monitor properties

no2_field_mon_ref_stn

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Monitor properties

pm25_field_mon_ref_stn

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Monitor properties

pm10_field_mon_ref_stn

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Monitor properties

pm_method

Air_pollution_modelling_APMMA

AP_monitor_locations

Centre for Air pollution, energy and health Research, 2021. State and Territory government regulatory air pollution monitor locations provided by NSW DPIE, ACT Health, SA EPA, Qld DES, Vic EPA (manually checked to correct for minor discrepancies), combined with field monitor locations from Ogawa Patches and Harvard Impactors at various Sydney GMR regions.

Land use

lu_com_{buffer}

ABS_customised_for_APMMA

apmma_abs_mb

Centre for Air pollution, energy and health Research, 2021. ABS Meshblock data re-coded by for the APMMA GIS air pollution modelling project. Restricted.

Land use

lu_res_{buffer}

ABS_customised_for_APMMA

apmma_abs_mb

Centre for Air pollution, energy and health Research, 2021. ABS Meshblock data re-coded by for the APMMA GIS air pollution modelling project. Restricted.

Land use

lu_open_{buffer}

ABS_customised_for_APMMA

apmma_abs_mb

Centre for Air pollution, energy and health Research, 2021. ABS Meshblock data re-coded by for the APMMA GIS air pollution modelling project. Restricted.

Land use

lu_ind_{buffer}

ABS_customised_for_APMMA

apmma_abs_mb

Centre for Air pollution, energy and health Research, 2021. ABS Meshblock data re-coded by for the APMMA GIS air pollution modelling project. Restricted.

Land use

lu_bldg_hgt_avg_100

Geoscape

Geoscape Residential land

PSMA, 2019-08-12, Geoscape_2019, [Data set] Retrieved from CARDAT

Land use

lu_bldg_foot_area_100

Geoscape

Geoscape Residential land

PSMA, 2019-08-12, Geoscape_2019, [Data set] Retrieved from CARDAT

Land cover

lc_tree_cover_{buffer}

Land_Cover_MODIS

tree_and_water_coverage_2017_2018

DiMiceli, C., Carroll, M., Sohlberg, R., Kim, D., Kelly, M., Townshend, J. (2015). MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2021-05-10 from https://doi.org/10.5067/MODIS/MOD44B.006 (Terra Product ID 250m MOD44B v6 march 2017-march 2018). Available through https://modis.gsfc.nasa.gov/data/dataprod/mod44.php

Land cover

lc_park_{buffer}

ABS_customised_for_APMMA

apmma_abs_mb

Centre for Air pollution, energy and health Research, 2021. ABS Meshblock data re-coded by for the APMMA GIS air pollution modelling project. Restricted.

Land cover

lc_water_modis_{buffer}

Land_Cover_MODIS

tree_and_water_coverage_2017_2018

DiMiceli, C., Carroll, M., Sohlberg, R., Kim, D., Kelly, M., Townshend, J. (2015). MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2021-05-10 from https://doi.org/10.5067/MODIS/MOD44B.006 (Terra Product ID 250m MOD44B v6 march 2017-march 2018). Available through https://modis.gsfc.nasa.gov/data/dataprod/mod44.php

Emission sources

em_minrd_invdist

Traffic_Load

Traffic_Load_Australia_2018

Yuen, C, 2020. Traffic load intensity derived from Zenith 2018 traffic counts and PSMA 2019 road networks. Downloaded from the Centre for Air pollution, health and energy Research https://cloudstor.aarnet.edu.au/plus/f/5288252817

Emission sources

em_majrd_invdist

Traffic_Load

Traffic_Load_Australia_2018

Yuen, C, 2020. Traffic load intensity derived from Zenith 2018 traffic counts and PSMA 2019 road networks. Downloaded from the Centre for Air pollution, health and energy Research https://cloudstor.aarnet.edu.au/plus/f/5288252817

Emission sources

em_majrd_length_{buffer}

Traffic_Load

Traffic_Load_Australia_2018

Yuen, C, 2020. Traffic load intensity derived from Zenith 2018 traffic counts and PSMA 2019 road networks. Downloaded from the Centre for Air pollution, health and energy Research https://cloudstor.aarnet.edu.au/plus/f/5288252817

Emission sources

em_wood_heat_pct

Woodfire_heaters

household_woodfire_heaters_Australia_2012

Knibbs, 2021. Household woodfire heater data, derived from ABS survey data on primary household energy source 2012. Downloaded from the Centre for Air pollution, energy and health research https://cloudstor.aarnet.edu.au/plus/f/5964272622

Emission sources

em_burned_area_pct_{buffer}

Fire_MODIS

NASA_MODIS_burnt_area_2005_2019

Giglio, L., Schroeder, W., Hall, J.V., & Justice, C.O., 2020. Collection 6 MODIS MCD64 Burned Area Product, data derived from NASA MODIS data. Available from https://modis-fire.umd.edu/index.html. Downloaded from the Centre for Air pollution, energy, and health Research https://cloudstor.aarnet.edu.au/plus/f/5534195139

Emission sources

em_fire_dens_fireskm2_{buffer}

Fire_MODIS

NASA_MODIS_active_fires_2016_2019

Giglio, L., Schroeder, W., Hall, J.V., & Justice, C.O., 2020. Collection 6 MOD14CMQ and MYD14CMQ monthly active fire climate modeling grid (CMG) data derived from NASA MODIS data 2016-2019. Available from https://modis-fire.umd.edu/index.html. Downloaded from the Centre for Air pollution, energy, and health Research https://cloudstor.aarnet.edu.au/plus/f/5534057407

Emission sources

em_npi_{pollutant}dens_kgkm2{buffer}

NPI

NPI_NOX_Australia_2017_2018

Department of Environment and Energy, 2021. National Pollutant Inventory point source air-based emissions for PM2.5 Australia 2010-2011. Available from [accessed 2020]. Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5943555217

Emission sources

em_npi_{pollutant}dens_kgkm2{buffer}

NPI

NPI_PM25_Australia_2010_2011

Department of Environment and Energy, 2021. National Pollutant Inventory point source air-based emissions for PM2.5 Australia 2010-2011. Available from [accessed ]. Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5914470094

Population

pop_dens_{buffer}

ABS_data

ABS1x1km_Aus_Pop_Grid_2006_2020

Australian Bureau of Statistics (2021). Regional Population Growth, Australia, 2006-2020, cat. no. 3218.0 https://www.abs.gov.au/ausstats/abs@.nsf/mf/3218.0. Retrieved from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5548003039

Weather

wthr_maxtmp_yrly_avg

AWAP_GRIDS

AWAP_GRIDS_monthly_temperature_1986_2019

Australian Bureau of Meteorology, Bureau of Rural Sciences, and CSIRO (2021). Australian Water Availability Project (AWAP) Temperature Grid Data aggregated to month 1986-2019. Data retrieved from Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5418224323

Weather

wthr_meantmp_yrly_avg

AWAP_GRIDS

AWAP_GRIDS_monthly_temperature_1986_2019

Australian Bureau of Meteorology, Bureau of Rural Sciences, and CSIRO (2021). Australian Water Availability Project (AWAP) Temperature Grid Data aggregated to month 1986-2019. Data retrieved from Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5418224323

Weather

wthr_drt_count_months

DROUGHT-AWAP-GRIDS-RESTRICTED

Drought_and_APMMA_locations_2005_2019

Hanigan, I. & Van Buskirk, J. 2021. AWAP SPI and SPEI drought indices and duration at APMMA locations 2005-2019. Data downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5418109235

Weather

wthr_drt_max_length

DROUGHT-AWAP-GRIDS-RESTRICTED

Drought_and_APMMA_locations_2005_2019

Hanigan, I. & Van Buskirk, J. 2021. AWAP SPI and SPEI drought indices and duration at APMMA locations 2005-2019. Data downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5418109235

Weather

wthr_rain_yrly_total

AWAP_GRIDS

AWAP_GRIDS_monthly_rainfall_1900_2020

Australian Bureau of Meteorology, Bureau of Rural Sciences, and CSIRO (2021). Australian Water Availability Project (AWAP) Rainfall Grid Data aggregated to month 1900-2020. Data retrieved from Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5418165999

Climate

clim_relhum_annual

Climate_and_weather_BOM

average_3pm_relative_humidity_1976_2005

Australian Bureau of Meteorology, 2016. Average 9am and 3pm relative humidity Australia 1976-2005. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/relative-humidity/index.jsp [accessed 2020] Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5545082383

Climate

clim_rain_annual

Climate_and_weather_BOM

annual_mean_rainfall_1981_2010

Australian Bureau of Meteorology, 2020. Average annual rainfall across Australia.1960-1991. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/rainfall/index.jsp [accessed 2020] Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5547582787

Climate

clim_avtmp_annual

Climate_and_weather_BOM

annual_mean_daily_average_temperature_1960_1991

Australian Bureau of Meteorology, 2016. Average annual daily average temperatures across Australia.1960-1991. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/temperature/index.jsp [accessed 2020] Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5545465475

Climate

clim_wind_annual

Climate_and_weather_BOM

gridded_annual_wind_velocity_2004_2008

Australian Bureau of Meteorology, 2011. Average annual wind velocity distribution across Australia.2004-2008. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/wind-velocity/index.jsp [accessed 2020] Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5544702519

Climate

clim_solar_winter

UVR_Solar_BOM

seasonal_daily_avg_solar_uv_aust_1990_2011

Australian Bureau of Meteorology, 2019. Average daily solar ultraviolet (UV) Index for summer (Dec-Feb) and winter (Jun-Aug) averaged over the years 1990-2011. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/solar-exposure/index.jsp [Accessed 2014]. Data downloaded from Centre for Air pollution, energy and health Research.https://cloudstor.aarnet.edu.au/plus/f/5543083979

Climate

clim_solar_summer

UVR_Solar_BOM

seasonal_daily_avg_solar_uv_aust_1990_2011

Australian Bureau of Meteorology, 2019. Average daily solar ultraviolet (UV) Index for summer (Dec-Feb) and winter (Jun-Aug) averaged over the years 1990-2011. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/solar-exposure/index.jsp [Accessed 2014]. Data downloaded from Centre for Air pollution, energy and health Research.https://cloudstor.aarnet.edu.au/plus/f/5543083979

Climate

clim_htng_dg_days_annual

Climate_and_weather_BOM

annual_total_heating_degree_days_1961_1990

Australian Bureau of Meteorology, 2011. Mean monthly and mean annual heating & cooling degree days data (base climatological data sets) 1961-1990. Available from http://www.bom.gov.au/jsp/ncc/climate_averages/degree-days/index.jsp [accessed 2020] Downloaded from the Centre for Air pollution, energy and health Research https://cloudstor.aarnet.edu.au/plus/f/5544600183

0.2 GIS variable definitions

Table 2: Definitions of predictor variables

Predictor type

Project ID

variable_name

Unit

Buffers

Variable_definition

Response variable

CARs_National_Air_Pollution_Database

no2_annual

NA

NA

NA

Response variable

CARs_National_Air_Pollution_Database

pm25_annual

NA

NA

NA

Response variable

CARs_National_Air_Pollution_Database

pm10_annual

NA

NA

NA

Satellite-based air pollution estimates

Sat_OMI_NO2_LK_2005_2019

sat_no2

molecules x 10^15 / cm^2


Annual Column (COL) NO2 satellite data, resolution of 13 x 24 km (nadir). This variable is the same for each month in the year. More information available here https://cloudstor.aarnet.edu.au/plus/f/5006639820

Satellite-based air pollution estimates

annual_surface_pm25_concentrations_2005_2018

sat_pm25

NA

NA

NA

Position and Elevation

SRTM_1sec_Smooth_DEM_National

pos_elevation

m


Elevation from Digital Elevation Model SRTM-derived

Position and Elevation

AP_monitor_locations

longitude

NA

NA

NA

Position and Elevation

AP_monitor_locations

latitude

NA

NA

NA

Position and Elevation

AP_monitor_locations

lon_metres

m


Hand geocoded government monitoring stations with O3/PM25/NO2/PM10 data. Albers EPSG 3577.

Position and Elevation

AP_monitor_locations

lat_metres

m


Hand geocoded government monitoring stations with O3/PM25/NO2/PM10 data. Albers EPSG 3577.

Position and Elevation

Euclidean_Distance_Coastline_Australia_2011

pos_distocean

km


Distance to open ocean in Km

Monitor properties

AP_monitor_locations

monitor_type

NA

NA

NA

Monitor properties

AP_monitor_locations

alt_name

NA

NA

NA

Monitor properties

AP_monitor_locations

no2_field_mon_ref_stn

NA

NA

NA

Monitor properties

AP_monitor_locations

pm25_field_mon_ref_stn

NA

NA

NA

Monitor properties

AP_monitor_locations

pm10_field_mon_ref_stn

NA

NA

NA

Monitor properties

AP_monitor_locations

pm_method

NA

NA

NA

Land use

apmma_abs_mb

lu_com_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

% coverage in buffer where ABS 2016 MB category was Commercial or Education or Medical/Hospital

Land use

apmma_abs_mb

lu_res_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

% coverage in buffer where ABS 2016 MB category was Residential

Land use

apmma_abs_mb

lu_open_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

% coverage in buffer where ABS 2016 MB category was Water, Primary Production or Other

Land use

apmma_abs_mb

lu_ind_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

% coverage in buffer where ABS 2016 MB category was industrial.

Land use

Geoscape Residential land

lu_bldg_hgt_avg_100

m

100m

Using all buildings in the buffer calculate the mean height in metres. Buildings with a NULL height were assigned the value 0.5m.

Land use

Geoscape Residential land

lu_bldg_foot_area_100

m^2

100m

The total footprint of all buildings that touch the buffer.

Land cover

tree_and_water_coverage_2017_2018

lc_tree_cover_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

Average % of tree cover coverage of raster values in buffer

Land cover

apmma_abs_mb

lc_park_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

% coverage in buffer where ABS 2016 MB category was Parkland

Land cover

tree_and_water_coverage_2017_2018

lc_water_modis_{buffer}

%

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

% coverage in buffer where MODIS data shows water

Emission sources

Traffic_Load_Australia_2018

em_minrd_invdist

m^-1


Inverse distance to minor road

Emission sources

Traffic_Load_Australia_2018

em_majrd_invdist

m^-1


Inverse distance to major road

Emission sources

Traffic_Load_Australia_2018

em_majrd_length_{buffer}

km

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

Road length in buffer (major road), with dual carriageways counting double length.

Emission sources

household_woodfire_heaters_Australia_2012

em_wood_heat_pct

NA

NA

NA

Emission sources

NASA_MODIS_burnt_area_2005_2019

em_burned_area_pct_{buffer}

NA

NA

NA

Emission sources

NASA_MODIS_active_fires_2016_2019

em_fire_dens_fireskm2_{buffer}

NA

NA

NA

Emission sources

NPI_NOX_Australia_2017_2018

em_npi_{pollutant}dens_kgkm2{buffer}

kg/km^2

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

Total emission mass (kg) per square km

Emission sources

NPI_PM25_Australia_2010_2011

em_npi_{pollutant}dens_kgkm2{buffer}

kg/km^2

50m, 100m, 200m, 300m, 400m, 500m, 700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

Total emission mass (kg) per square km

Population

ABS1x1km_Aus_Pop_Grid_2006_2020

pop_dens_{buffer}

persons/km^2

700m, 1000m, 1500m, 2000m, 3000m, 5000m, 10000m

Population density (per square km) in buffer using ABS’s estimated 1x1km population grids.

Weather

AWAP_GRIDS_monthly_temperature_1986_2019

wthr_maxtmp_yrly_avg

NA

NA

NA

Weather

AWAP_GRIDS_monthly_temperature_1986_2019

wthr_meantmp_yrly_avg

NA

NA

NA

Weather

Drought_and_APMMA_locations_2005_2019

wthr_drt_count_months

NA

NA

NA

Weather

Drought_and_APMMA_locations_2005_2019

wthr_drt_max_length

NA

NA

NA

Weather

AWAP_GRIDS_monthly_rainfall_1900_2020

wthr_rain_yrly_total

NA

NA

NA

Climate

average_3pm_relative_humidity_1976_2005

clim_relhum_annual

NA

NA

NA

Climate

annual_mean_rainfall_1981_2010

clim_rain_annual

mm


Annual mean rainfall (mm), 1960-1991

Climate

annual_mean_daily_average_temperature_1960_1991

clim_avtmp_annual

C


Annual mean daily average temperature (C), 1960-1991. Daily averages taken from the mean of the min and max daily temps, and averaged over the year.

Climate

gridded_annual_wind_velocity_2004_2008

clim_wind_annual

km/h


Annualised, the average of the 12 months.

Climate

seasonal_daily_avg_solar_uv_aust_1990_2011

clim_solar_winter

MJ/m^2


Seasonal (winter) mean daily solar exposure (MJ/m2)

Climate

seasonal_daily_avg_solar_uv_aust_1990_2011

clim_solar_summer

MJ/m^2


Seasonal (summer) mean daily solar exposure (MJ/m2)

Climate

annual_total_heating_degree_days_1961_1990

clim_htng_dg_days_annual

NA

NA

NA

9