d5-6-assessment-of-impacts-aveiro

Data output from the tool set application for the assessment of the environmental (emissions, carbon footprint, ambient air concentrations), health (exposure and health effects), and economic impacts (e.g. health-related costs).

• CIRA shapefile
  file: cira.7z
  Shapefile with the urban scale domain over CIRA/ Aveiro region with 40 km x 55 km
• 2_CIRA_ Natural _baseline
  file: claircity_naturalemissions_cira_jan2019.pdf
  Emissions (in kg/year) were based on EMEP emission inventory for nature at 0.1x0.1 degrees resolution (~ 10 km) for the year 2015 disaggregated for the urban domain of CIRA by forest, grass, parks and nature reserve areas classified in the Open Street Map database.
• 2_CIRA_Agriculture_baseline
  file: claircity_agricultureemissions_cira_jan2019.pdf
  Emissions (in kg/year) were based on EMEP emission inventory for agriculture and livestock at 0.1x0.1 degrees resolution (~ 10 km) for the year 2015 disaggregated for the urban domain of CIRA by farms, meadows, vineyards land uses classified in the Open Street Map database
• 3_CIRA_Air Quality_Baseline (mesoscale/NO2 concentrations)
  file: no2_2010010100_2010123123_lcc.png
  Annual NO2 average concentrations (µg/m^3) from WRF-CAMx modelling system, for the mesoscale domain D2.
• 3_CIRA_Air Quality_Baseline (mesoscale/PM2.5 concentrations)
  file: pm2.5_2010010100_2010123123_lcc.png
  Annual PM2.5 average concentrations (µg/m^3) from WRF-CAMx modelling system, for the mesoscale domain D2.
• 3_CIRA_Air Quality_Baseline (mesoscale/PM10 concentrations)
  file: pm10_2010010100_2010123123_lcc.png
  Annual PM10 average concentrations (µg/m^3) from WRF-CAMx modelling system, for the mesoscale domain D2.
• 3_CIRA_Air Quality_Baseline (urban scale/ NO2 concentrations)
  file: cira_aq2app_no2.txt
  Annual NO2 average concentrations from URBAIR model Coordinate system: LCP clicurb (meters)
• 3_CIRA_Air Quality_Baseline (urban scale/ PM10 concentrations)
  file: cira_aq2app_pm10.txt
  Annual PM10 average concentrations from URBAIR model Coordinate system: LCP clicurb (meters)
• 3_CIRA_Air Quality_Baseline (urban scale/ PM2.5 concentrations)
  file: cira_aq2app_pm2.5.txt
  Annual PM2.5 average concentrations from URBAIR model Coordinate system: LCP clicurb (meters)
• 6_CIRA_CarbonFootprint_baseline
  file: ech.ma.15-fr2-wp5-carbon-footprint-ed2.pdf
  Carbon footprint methodologies and estimation for the baseline year for Aveiro Region
• 3_CIRA_Air Quality_Baseline (mesoscale-report)
  file: cira_mesoscale.pdf
  This report provides an overview of the modelling approach used to characterize the air quality in the Aveiro region, which includes a detailed description of the air quality modelling system WRF-CAMx (section 1.1.) and a description of the methodology applied to evaluate the model performance (section 1.2.). It also includes results of concentration fields and a source apportionment for NO2, PM10 and PM2.5.
• 3_CIRA_Air Quality_Baseline (urbanscale-report)
  file: cira_aq_urbanscale_report.pdf
  This report provides a brief overview oh the methodology used. It presents an analysis of concentration fields for NO2, PM10, PM2.5 of the total and by modeled sectors, it also includes an analysis of the source contribution and for the maximum values.
• 2_CIRA_IRCI_baseline
  file: ech.ma.15-fr1-wp5-irc-ed5.3.pdf
• 2_CIRA_IRCI_Scenarios
  file: ech.ma.15-fr3-wp5-irc-future-ed5.pdf
• 2_CIRA_temporal_profiles
  file: aveiro-daily_hourlytd_res_comm_emi.xlsx
  Temporal profiles of CIRA's residential sector and commercial sector scale in %: Daily emissions, typical days emissions and hourly typical days emissions of PM10 and NOX variables.
• 2_CIRA_Transport_baseline_map
  file: roadnetwork_cira.zip
  Map with lines, link with emissions using filed "ID" import as text delimited file, use string for georeference. WGS84 Distinction is made between the core area and the periphery
• 2_CIRA_Transport_baseline_values
  file: emission_values_cira.zip
  Part 2 of 2 files that make the CIRA transport emissions baseline: total emissions per link in .csv: To be linked to the road network file using the identifier "uniqueID" shapefile with road links units: g emissions at link level consisting of a zip file with 4 .csv-files, in the following format: first column: link-ID (link with shapefile of the road network) second column: pollutant (PM, PM non-exhaust or NOx) third column: mode ("BESTEL"= van or light freight, "MIDZWVR" = medium freight, "MOTOR" = motorcycles, "OVBUS" = bus, "PERSAUTO" = passenger cars, "ZWAARVR" = heavy freight columns D-AY: hourly intervals for weekday ("WD") and weekend ("WE") all units in g First distinction is made between core area and the periphery. data files need to be linked with the correct map-file from part 1 Second distinction is made between aggregates (over type, by type of day, per hour of day) and a separate file for annual totals (at link level, per pollutant (including FC))
• 2_CIRA_transport_scenarios_CITY
  file: 191001_aveicity_scenario_results_summary_withups.xlsx
  This data-set reflects the relative changes of road transport emissions in different years and scenario's compared to the baseline. 2 sets of scenario's are given, one per tab: "SDW": BAU & scenario's established in the stakeholder dialogue workshop "UPS": updated BAU (if applicable) & final Unified Policy Scenario (UPS) selected in the policy workshop. reported for 3 future years compared to the 2015 baseline: 2025, 2035 and 2050 reported for NOx & PM for 6 modes: "MIDZWR": medium truck "ZWVR": heavy truck "BUS": busses "MOTO": motorcycles "CAR": passenger cars "VAN": light freight, assumed to be a mix of passenger cars and medium trucks all units: % These values are valid for the city-area's of Aveiro
• 2_CIRA_transport_scenarios_REGION
  file: 191001_aveiregion_scenario_results_summary_withups.xlsx
  This data-set reflects the relative changes of road transport emissions in different years and scenario's compared to the baseline. 2 sets of scenario's are given, one per tab: "SDW": BAU & scenario's established in the stakeholder dialogue workshop "UPS": updated BAU (if applicable) & final Unified Policy Scenario (UPS) selected in the policy workshop. reported for 3 future years compared to the 2015 baseline: 2025, 2035 and 2050 reported for NOx & PM for 6 modes: "MIDZWR": medium truck "ZWVR": heavy truck "BUS": busses "MOTO": motorcycles "CAR": passenger cars "VAN": light freight, assumed to be a mix of passenger cars and medium trucks all units: % These values are valid for the region of Aveiro, excluding the city area's
• 5_CIRA_health_statistics
  file: cira_health-analysis.xlsx
  demographics and population data to calculate the health statistics
• 5_CIRA_health_scenarios
  file: summary_results_cira.xlsx
  Health-related impacts (selected mortality and morbidity endpoints) related to exposure to PM2.5, NO2, and PM10, considering concentration-response functions and baseline concentrations recommended by WHO.
• 3_CIRA_NO2_AQ_latlong
  file: cira_no2_latlong.rar
  The shapefile includes total NO2 concentrations (µg/m^3) , as well as concentrations by sector (transport, IRCI and industrial). Coordiante system: WGS1984
• 3_CIRA_PM2_AQ_latlong
  file: cira_pm2_latlong.rar
  The shapefile includes total PM2 concentrations (µg/m^3) , as well as concentrations by sector (transport, IRCI and industrial). Coordiante system: WGS1984
• 3_CIRA_PM10_AQ_latlong
  file: cira_pm10_latlong.rar
  The shapefile includes total PM10 concentrations (µg/m^3) , as well as concentrations by sector (transport, IRCI and industrial). Coordiante system: WGS1984
• 6_CIRA_CarbonFootprint_Scenarios
  file: ech.ma.15-fr4-wp5-carbon-footprint-future-ed3-.pdf
  Carbon footprint business as usual and scenario projections for Aveiro region
• 3_CIRA_Air Quality_Baseline (mesoscale/SourceApportionment)
  file: cira_psat.xlsx
  Time series of daily average contributions for each source group for PM10, PM2.5 and NO2 concentrations from WRF-CAMx modelling system with the SA tool, for the Aveiro Region urban area.
• 3_CIRA_Air Quality Scenarios_urban scale NO2 matrix
  file: cira_no2_scenarios.mat
  Annual NO2 average concentrations (µg/m^3) from URBAIR model, considering the impact of all scenarios in all the emission sectors: transport, industrial and IRCI, together with the background concentrations. The file contains X, Y coordinates, together with the total annual average concentrations for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 3_CIRA_Air Quality Scenarios_ urban scale PM10 matrix
  file: cira_pm10_scenarios.mat
  Annual PM10 average concentrations (µg/m^3) from URBAIR model, considering the impact of all scenarios in all the emission sectors: transport, industrial and IRCI, together with the background concentrations. The file contains X, Y coordinates, together with the total annual average concentrations for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 3_CIRA_Air Quality Scenarios_urban scale PM2 matrix
  file: cira_pm2_scenarios.mat
  Annual PM2.5 average concentrations (µg/m^3) from URBAIR model, considering the impact of all scenarios in all the emission sectors: transport, industrial and IRCI, together with the background concentrations. The file contains X, Y coordinates, together with the total annual average concentrations for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 4_CIRA_Exposure_EU_Baseline NO2 matrix
  file: cira_no2_exposureeu_baseline.mat
  Population potentially exposed to the annual NO2 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for the baseline year.
• 4_CIRA_Exposure_EU_Baseline PM10 matrix
  file: cira_pm10_exposureeu_baseline.mat
  Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for the baseline year.
• 4_CIRA_Exposure_WHO_Baseline PM10 matrix
  file: cira_pm10_exposurewho_baseline.mat
  Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 20 ug/m^3 for the baseline year.
• 4_CIRA_Exposure_EU_Baseline PM2 matrix
  file: cira_pm2_exposureeu_baseline.mat
  Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 25 ug/m^3 for the baseline year.
• 4_CIRA_Exposure_WHO_Baseline PM2 matrix
  file: cira_pm2_exposurewho_baseline.mat
  Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 10 ug/m^3 for the baseline year.
• 4_CIRA_Exposure_EU_Scenarios NO2 matrix
  file: cira_no2_exposureeu_scenarios.mat
  Population potentially exposed to the annual NO2 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 4_CIRA_Exposure_EU_Scenarios PM10 matrix
  file: cira_pm10_exposureeu_scenarios.mat
  Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 4_CIRA_Exposure_WHO_Scenarios PM10 matrix
  file: cira_pm10_exposurewho_scenarios.mat
  Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 20 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 4_CIRA_Exposure_EU_Scenarios PM2 matrix
  file: cira_pm2_exposureeu_scenarios.mat
  Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 25 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.
• 4_CIRA_Exposure_WHO_Scenarios PM2 matrix
  file: cira_pm2_exposurewho_scenarios.mat
  Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 10 ug/m^3 for BAU, scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.