d5-6-assessment-of-impacts-aveiro

Name: d5-6-assessment-of-impacts-aveiro
Creator: Zenodo
Published: 2020-05-19T20:02:28+08:00

Zenodo2020-07-06 更新2026-05-25 收录

数据链接：

https://zenodo.org/record/3834822 数据链接链接失效反馈

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资源简介：

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.

本数据集为工具集应用输出数据，用于评估环境（排放、碳足迹、环境空气浓度）、健康（暴露与健康效应）及经济影响（如健康相关成本）。 1. CIRA矢量形状文件（Shapefile）：文件为cira.7z，为覆盖CIRA/阿威罗（Aveiro）区域的城市尺度域矢量形状文件，尺寸为40 km × 55 km。 2. 2_CIRA_Natural_baseline：文件为claircity_naturalemissions_cira_jan2019.pdf。年排放量（单位：kg/年）基于2015年分辨率为0.1°×0.1°（约10 km）的EMEP自然源排放清单，通过开放街道地图（OpenStreetMap）数据库中分类的森林、草地、公园及自然保护区区域，对CIRA城市域进行空间分配得到。 3. 2_CIRA_Agriculture_baseline：文件为claircity_agricultureemissions_cira_jan2019.pdf。年排放量（单位：kg/年）基于2015年分辨率为0.1°×0.1°（约10 km）的EMEP农业与畜禽源排放清单，通过开放街道地图（OpenStreetMap）数据库中分类的农场、草地、葡萄园土地利用类型，对CIRA城市域进行空间分配得到。 4. 3_CIRA_Air Quality_Baseline (mesoscale/NO2 concentrations)：文件为no2_2010010100_2010123123_lcc.png。为WRF-CAMx模拟系统输出的中尺度域D2的年均NO2平均浓度（单位：μg/m³）。 5. 3_CIRA_Air Quality_Baseline (mesoscale/PM2.5 concentrations)：文件为pm2.5_2010010100_2010123123_lcc.png。为WRF-CAMx模拟系统输出的中尺度域D2的年均PM2.5平均浓度（单位：μg/m³）。 6. 3_CIRA_Air Quality_Baseline (mesoscale/PM10 concentrations)：文件为pm10_2010010100_2010123123_lcc.png。为WRF-CAMx模拟系统输出的中尺度域D2的年均PM10平均浓度（单位：μg/m³）。 7. 3_CIRA_Air Quality_Baseline (urban scale/ NO2 concentrations)：文件为cira_aq2app_no2.txt。为URBAIR模型输出的年均NO2平均浓度，坐标系为LCP clicurb（米）。 8. 3_CIRA_Air Quality_Baseline (urban scale/ PM10 concentrations)：文件为cira_aq2app_pm10.txt。为URBAIR模型输出的年均PM10平均浓度，坐标系为LCP clicurb（米）。 9. 3_CIRA_Air Quality_Baseline (urban scale/ PM2.5 concentrations)：文件为cira_aq2app_pm2.5.txt。为URBAIR模型输出的年均PM2.5平均浓度，坐标系为LCP clicurb（米）。 10. 6_CIRA_CarbonFootprint_baseline：文件为ech.ma.15-fr2-wp5-carbon-footprint-ed2.pdf。包含阿威罗区域基准年的碳足迹核算方法与估算结果。 11. 3_CIRA_Air Quality_Baseline (mesoscale-report)：文件为cira_mesoscale.pdf。本报告概述了用于表征阿威罗区域空气质量的模拟方法，包括空气质量模拟系统WRF-CAMx的详细说明（1.1节）以及模型性能评估方法（1.2节），同时包含NO2、PM10及PM2.5的浓度场结果与源解析内容。 12. 3_CIRA_Air Quality_Baseline (urbanscale-report)：文件为cira_aq_urbanscale_report.pdf。本报告简要概述所用方法，分析了NO2、PM10、PM2.5的总浓度场及各模拟源的浓度场，同时包含源贡献分析与极值分析内容。 13. 2_CIRA_IRCI_baseline：文件为ech.ma.15-fr1-wp5-irc-ed5.3.pdf 14. 2_CIRA_IRCI_Scenarios：文件为ech.ma.15-fr3-wp5-irc-future-ed5.pdf 15. 2_CIRA_temporal_profiles：文件为aveiro-daily_hourlytd_res_comm_emi.xlsx。包含CIRA住宅与商业部门的时间分布特征（以百分比计）：PM10与NOx变量的日排放量、典型日排放量及典型日逐小时排放量。 16. 2_CIRA_Transport_baseline_map：文件为roadnetwork_cira.zip。为道路网络矢量文件，包含道路线要素，需通过字段“ID”（需以文本分隔文件导入，使用字符串进行地理配准）与排放数据关联，坐标系为WGS84。数据区分核心区域与外围区域。 17. 2_CIRA_Transport_baseline_values：文件为emission_values_cira.zip。为CIRA道路运输排放基准的第二部分（共2个文件）：包含各道路链路的总排放量（CSV格式），需通过标识符“uniqueID”与第一部分的道路网络文件关联。本压缩包包含4个CSV文件，格式如下：第一列：链路ID（与道路网络形状文件对应）第二列：污染物类型（PM、非排气PM或NOx）第三列：交通模式（“BESTEL”=厢式货车/轻型货运，“MIDZWVR”=中型货运，“MOTOR”=摩托车，“OVBUS”=巴士，“PERSAUTO”=乘用车，“ZWAARVR”=重型货运） D-AY列：工作日（“WD”）与周末（“WE”）的逐小时间隔数据，单位为克。数据首先区分核心区域与外围区域；其次分为聚合数据（按类型、日期类型、逐小时汇总）与单独的年度总量文件（按链路、污染物类型（包括FC）汇总）。 18. 2_CIRA_transport_scenarios_CITY：文件为191001_aveicity_scenario_results_summary_withups.xlsx。本数据集反映了相较于2015年基准情景，不同年份与情景下道路运输排放量的相对变化。数据集包含两组情景（分别对应一个工作表）： - “SDW”：基准情景（BAU）及利益相关方对话研讨会确定的情景 - “UPS”：更新后的基准情景（如适用）及政策研讨会选定的最终统一政策情景（UPS）报告针对2025、2035、2050三个未来年份，以及NOx与PM两类污染物，涵盖6种交通模式：“MIDZWR”=中型货运卡车，“ZWVR”=重型货运卡车，“BUS”=巴士，“MOTO”=摩托车，“CAR”=乘用车，“VAN”=轻型货运（假设为乘用车与中型货运卡车的混合模式），单位为百分比。本数据适用于阿威罗城市区域。 19. 2_CIRA_transport_scenarios_REGION：文件为191001_aveiregion_scenario_results_summary_withups.xlsx。本数据集反映了相较于2015年基准情景，不同年份与情景下道路运输排放量的相对变化。数据集包含两组情景（分别对应一个工作表）： - “SDW”：基准情景（BAU）及利益相关方对话研讨会确定的情景 - “UPS”：更新后的基准情景（如适用）及政策研讨会选定的最终统一政策情景（UPS）报告针对2025、2035、2050三个未来年份，以及NOx与PM两类污染物，涵盖6种交通模式：“MIDZWR”=中型货运卡车，“ZWVR”=重型货运卡车，“BUS”=巴士，“MOTO”=摩托车，“CAR”=乘用车，“VAN”=轻型货运（假设为乘用车与中型货运卡车的混合模式），单位为百分比。本数据适用于阿威罗区域（不含城市区域）。 20. 5_CIRA_health_statistics：文件为cira_health-analysis.xlsx。包含用于计算健康统计数据的人口统计学与人口数据集。 21. 5_CIRA_health_scenarios：文件为summary_results_cira.xlsx。包含与PM2.5、NO2及PM10暴露相关的健康影响（选定的死亡与发病终点），核算时考虑了浓度-响应函数与世界卫生组织（WHO）推荐的基准浓度。 22. 3_CIRA_NO2_AQ_latlong：文件为cira_no2_latlong.rar。本矢量形状文件包含总NO2浓度（μg/m³）及分部门的浓度（交通、IRCI及工业源），坐标系为WGS1984。 23. 3_CIRA_PM2_AQ_latlong：文件为cira_pm2_latlong.rar。本矢量形状文件包含总PM2.5浓度（μg/m³）及分部门的浓度（交通、IRCI及工业源），坐标系为WGS1984。 24. 3_CIRA_PM10_AQ_latlong：文件为cira_pm10_latlong.rar。本矢量形状文件包含总PM10浓度（μg/m³）及分部门的浓度（交通、IRCI及工业源），坐标系为WGS1984。 25. 6_CIRA_CarbonFootprint_Scenarios：文件为ech.ma.15-fr4-wp5-carbon-footprint-future-ed3-.pdf。包含阿威罗区域的基准情景与未来情景的碳足迹预测结果。 26. 3_CIRA_Air Quality_Baseline (mesoscale/SourceApportionment)：文件为cira_psat.xlsx。包含WRF-CAMx模拟系统结合源解析（SA）工具输出的阿威罗城市区域各源类对PM10、PM2.5及NO2浓度的日平均贡献时间序列数据。 27. 3_CIRA_Air Quality Scenarios_urban scale NO2 matrix：文件为cira_no2_scenarios.mat。为URBAIR模型输出的年均NO2平均浓度（μg/m³），考虑了所有排放部门（交通、工业、IRCI）的情景影响及背景浓度。文件包含X、Y坐标，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）的总年均浓度。 28. 3_CIRA_Air Quality Scenarios_ urban scale PM10 matrix：文件为cira_pm10_scenarios.mat。为URBAIR模型输出的年均PM10平均浓度（μg/m³），考虑了所有排放部门（交通、工业、IRCI）的情景影响及背景浓度。文件包含X、Y坐标，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）的总年均浓度。 29. 3_CIRA_Air Quality Scenarios_urban scale PM2 matrix：文件为cira_pm2_scenarios.mat。为URBAIR模型输出的年均PM2.5平均浓度（μg/m³），考虑了所有排放部门（交通、工业、IRCI）的情景影响及背景浓度。文件包含X、Y坐标，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）的总年均浓度。 30. 4_CIRA_Exposure_EU_Baseline NO2 matrix：文件为cira_no2_exposureeu_baseline.mat。包含暴露于年均NO2平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及基准年中年均浓度超过欧盟（EU）年均法定限值40 μg/m³的人口总数。 31. 4_CIRA_Exposure_EU_Baseline PM10 matrix：文件为cira_pm10_exposureeu_baseline.mat。包含暴露于年均PM10平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及基准年中年均浓度超过欧盟年均法定限值40 μg/m³的人口总数。 32. 4_CIRA_Exposure_WHO_Baseline PM10 matrix：文件为cira_pm10_exposurewho_baseline.mat。包含暴露于年均PM10平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及基准年中年均浓度超过世界卫生组织（WHO）年均指导值20 μg/m³的人口总数。 33. 4_CIRA_Exposure_EU_Baseline PM2 matrix：文件为cira_pm2_exposureeu_baseline.mat。包含暴露于年均PM2.5平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及基准年中年均浓度超过欧盟年均法定限值25 μg/m³的人口总数。 34. 4_CIRA_Exposure_WHO_Baseline PM2 matrix：文件为cira_pm2_exposurewho_baseline.mat。包含暴露于年均PM2.5平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及基准年中年均浓度超过世界卫生组织（WHO）年均指导值10 μg/m³的人口总数。 35. 4_CIRA_Exposure_EU_Scenarios NO2 matrix：文件为cira_no2_exposureeu_scenarios.mat。包含暴露于年均NO2平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）中，年均浓度超过欧盟年均法定限值40 μg/m³的人口总数。 36. 4_CIRA_Exposure_EU_Scenarios PM10 matrix：文件为cira_pm10_exposureeu_scenarios.mat。包含暴露于年均PM10平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）中，年均浓度超过欧盟年均法定限值40 μg/m³的人口总数。 37. 4_CIRA_Exposure_WHO_Scenarios PM10 matrix：文件为cira_pm10_exposurewho_scenarios.mat。包含暴露于年均PM10平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）中，年均浓度超过世界卫生组织（WHO）年均指导值20 μg/m³的人口总数。 38. 4_CIRA_Exposure_EU_Scenarios PM2 matrix：文件为cira_pm2_exposureeu_scenarios.mat。包含暴露于年均PM2.5平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）中，年均浓度超过欧盟年均法定限值25 μg/m³的人口总数。 39. 4_CIRA_Exposure_WHO_Scenarios PM2 matrix：文件为cira_pm2_exposurewho_scenarios.mat。包含暴露于年均PM2.5平均浓度的潜在人口数据。文件包含X、Y坐标，以及各网格单元的总人口数，以及2025、2035、2050时间窗口内基准情景（BAU）、利益相关方对话研讨会的低/高雄心情景及最终统一政策情景（FUPS）中，年均浓度超过世界卫生组织（WHO）年均指导值10 μg/m³的人口总数。

提供机构：

Zenodo

创建时间：

2020-05-19

d5-6-assessment-of-impacts-aveiro

资源简介：

相关数据集