SIENA data description

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The text on this page is taken from an equivalent page of the IEHIAS-project.

SIENA consists of core data (topography, transport network, land cover, population) which build the base of the simulation and contextual data which is added to provide context when carrying out applications with SIENA.

Core data

Core data build the foundation of the simulated urban system on which all other urban data rest. The simulation process of the core data focuses on identifying and quantifying fundamental processes and interdependencies in the structure of urban areas in Great Britain. Twelve cities are chosen as sample cities and their spatial data structure (topography, transport network, land cover) and interactions between these structures and the urban population are statistically analysed. Based on the results of the statistical analysis the core data is modelled using amongst others probabilistic models and GIS functionalities.

Core_data_25x25m.shp
Attribute Description Resolution Data range
ALTITUDE Average altitude above sea level in metres for each grid cell 25 x 25 metres 8 – 174 metres
SLOPE Average percent slope for each grid cell 25 x 25 metres 0 -68.5 %
LC Dominant land cover class in each grid cell, categorised in 4 rural and 3 urban classes 5 x 25 metres 1, 2, 3, 4, 10, 11, 12
POP Number of people within each grid cell 25 x 25 metres 0 – 16 people
Major_roads.shp
Attribute Description Resolution Data range
TYPE Main road type Line Motorway, Inner ring road, Outer ring road, Feeder road, Distributary road
Minor_road_density.shp
Attribute Description Resolution Data range
MINRD_DENS Minor road density for each grid cell in metres per square metres 250 x 250 metres 0 – 0.025 m/m2
Railway.shp
Attribute Description Resolution Data range
LENGTH Length of each railway segment Line 341 – 33182 m
Address_points.shp
Attribute Description Resolution Data range
POP Number of people at each address Points (25 x 25 metres) 1 – 16 people

Contextual data

Contextual data is data which is added to provide context when carrying out applications with SIENA. This folder contains some examples already included in SIENA, other application-specific data can be generated or added as needed. Probabilistic models are used to simulate the contextual data.

Proximity to source, emissions and concentrations are often used in epidemiological studies to assess associations between potential environmental exposure and aspects of human health reflecting different points in the environmental-exposure chain. The contextual data is therefore grouped into these broad categories and other data:

Emissions & sources

Point_emission_Sources.shp
Attribute Description
ACTIVITY Main activity of point source: Energy industry, waste management
EXITVEL, EXITTEMP, HEIGHT,OPWEEKS, OPHOURS, DIAMETER Stack characteristics: exit velocity, exit temperature, stack height, number of weeks of operation, number of hours of operation, stack diameter
VOC_G_S, PM10_G_S, NOX_G_S, CO_G_S, BENZENE, BUTADIENE, SO2_G_S, CO2_G_S, N2O_G_S, METHANE, MERCURY Pollutants emitted from point emission source in grams per second
X, Y X and Y coordinates of point emission source location
Mobile_phone_masts.shp
Attribute Description Resolution Data range
HEIGHT Elevation of mobile phone mast in metres Points 7 - 90 metres
EIRP_W Power output in watt Points 49.1 – 6139.8 W
FREQ Frequency in megahertz Points 900 – 1800 MHz
AZ Azimuth direction (degrees from ture north) of the centreline of the main beam of the antenna Points 0 – 355
TILT Net tilt due to electrical and mechanical tilt in degrees Points -2 – 11
H_BW Specified horizontal beam width of the source antenna in degrees Points 0
V_BW Specified vertical beam width of the source antenna in degrees Points 0 – 9
Main_rd_traffic_count.shp
Attribute Description Resolution Data range
LENGTH Length of road segment in metres Line 0.9 – 7,947 metres
TYPE Main road type Line Motorway, Inner ring road, Outer ring road, Feeder road, Distributary road
WIDTH, CANYON, GRADIENT, ROADSURF, TEXDEPTH, HEIGHT Road characteristics Line
SPEED Average speed on road segment in kilometres per hour Line 5 – 90 km/h
MCYCLE Annual average daily traffic count of motorcycles Line 10 – 1,249 motorcycles
LIGHT Annual average daily traffic count of light vehicles: car, taxi, light goods vehicle Line 117 – 82,883 light vehicles
HEAVY Annual average daily traffic count of heavy vehicles: bus, heavy goods vehicle Line 4 – 19,924 heavy goods vehicles
VOC_G_KM_S, PM10, NOX_G_KM_S, CO_G_KM_S, BENZENE, SO2_G_KM_S, CO2_G_KM_S, NO2_G_KM_S, N2O_G_KM_S, METHANE Pollutants emitted from roads in grams per kilometres per second Line
Minor_rd_AVK.shp
Attribute Description Resolution Data range
AVK_LIGHT Annual Vehicle Kilometres of light vehicles: car, taxi, light good vehicle 250 x 250 metres 0 – 1,191,953 km
AVK_HEAVY Annual Vehicle Kilometres of heavy vehicles: bus, heavy goods vehicle 250 x 250 metres 0 – 42,660 km
AVK_MCYCLE Annual Vehicle Kilometres of motorcycles 250 x 250 metres 0 – 20,075 km
AVK_TOTAL Annual Vehicle Kilometres of all vehicles 250 x 250 metres 0 – 1,254,688 km
Traffic_emissions_250m.shp
Attribute Description Resolution Data range
NOX_MAIN NOx emissions from main roads in tonnes per square kilometres per year 250 x 250 metres 0 – 25.6 t/km2/year
PM10_MAIN PM10 emissions from main roads in tonnes per square kilometres per year 250 x 250 metres 0 – 0.74 t/km2/year
NOX_MINOR NOx emissions from minor roads in tonnes per square kilometres per year 250 x 250 metres 0 – 0.71 t/km2/year
PM10_MINOR PM10 emissions from minor roads in tonnes per square kilometres per year 250 x 250 metres 0 – 0.03 t/km2/year
NOX_TOTAL NOx emissions from roads in tonnes per square kilometres per year 250 x 250 metres 0 – 26.63 t/km2/year
PM10_TOTAL PM10 emissions from roads in tonnes per square kilometres per year 250 x 250 metres 0 – 0.74 t/km2/year
Traffic_emissions_1km.shp
Attribute Description Resolution Data range
NOX_MAIN NOx emissions from main roads in tonnes per square kilometres per year 1 x 1 km 0 – 97.75 t/km2/year
PM10_MAIN PM10 emissions from main roads in tonnes per square kilometres per year 1 x 1 km 0 – 2.82 t/km2/year
NOX_MINOR NOx emissions from minor roads in tonnes per square kilometres per year 1 x 1 km 0 – 6.39 t/km2/year
PM10_MINOR PM10 emissions from minor roads in tonnes per square kilometres per year 1 x 1 km 0 – 0.27 t/km2/year
NOX_TOTAL NOx emissions from roads in tonnes per square kilometres per year 1 x 1 km 0 – 98.26 t/km2/year
PM10_TOTAL PM10 emissions from roads in tonnes per square kilometres per year 1 x 1 km 0 – 2.84 t/km2/year

Concentrations

Conc_2w_ave.shp
Attribute Description Resolution Data range
NO2 Two-week average NO2 concentration in µg/m2 25 x 25 metres 5.7 – 405.2 µg/m2
SO2 Two-week average SO2 concentration in µg/m2 25 x 25 metres 0.5 – 5,402 µg/m2
PM10 Two-week average PM10 concentration in µg/m2 25 x 25 metres 17 – 130 µg/m2
PM10_hourly_wd.shp
Attribute Description Resolution Data range
PM10_1h_WD

PM10_2h_WD ... PM10_24h_WD

Hourly PM10 concentration on a weekday in µg/m2 25 x 25 metres
PM10_hourly_we.shp
Attribute Description Resolution Data range
PM10_1h_WE

PM10_2h_WE ... PM10_24h_WE

Hourly PM10 concentration on the weekend in µg/m2 25 x 25 metres

Other data

Air_pollution_monitoring_sites.shp
Attribute Description Resolution Data range
SITE_TYPE Description of site Points Roadside, Urban background
PM10 PM10 concentration measured at the monitoring site on a weekday at 10am in µg/m2 Points 18.2 – 47.5 µg/m2
NO2 NO2 concentration measured at the monitoring site on a weekday at 10am in µg/m2 Points 22.6 – 99.5 µg/m2
SO2 SO2 concentration measured at the monitoring site on a weekday at 10am in µg/m2 Points 4.3 – 84.7 µg/m2
Areal_units.shp
Attribute Description Resolution Data range
POP Number of people living within each ward Polygons 3,506 – 9,700 people
WARD_CODE Unique ward identifier Polygons
WARD_AREA Area of ward in square metres Polygons 302,500 – 19,662,500 m2
POP_DENS Population density in each ward measured as people per square metres Polygons 0.000024 – 0.013088 pop/m2

See also

Integrated Environmental Health Impact Assessment System
IEHIAS is a website developed by two large EU-funded projects Intarese and Heimtsa. The content from the original website was moved to Opasnet.
Topic Pages
Toolkit
Data

Boundaries · Population: age+sex 100m LAU2 Totals Age and gender · ExpoPlatform · Agriculture emissions · Climate · Soil: Degredation · Atlases: Geochemical Urban · SoDa · PVGIS · CORINE 2000 · Biomarkers: AP As BPA BFRs Cd Dioxins DBPs Fluorinated surfactants Pb Organochlorine insecticides OPs Parabens Phthalates PAHs PCBs · Health: Effects Statistics · CARE · IRTAD · Functions: Impact Exposure-response · Monetary values · Morbidity · Mortality: Database

Examples and case studies Defining question: Agriculture Waste Water · Defining stakeholders: Agriculture Waste Water · Engaging stakeholders: Water · Scenarios: Agriculture Crop CAP Crop allocation Energy crop · Scenario examples: Transport Waste SRES-population UVR and Cancer
Models and methods Ind. select · Mindmap · Diagr. tools · Scen. constr. · Focal sum · Land use · Visual. toolbox · SIENA: Simulator Data Description · Mass balance · Matrix · Princ. comp. · ADMS · CAR · CHIMERE · EcoSenseWeb · H2O Quality · EMF loss · Geomorf · UVR models · INDEX · RISK IAQ · CalTOX · PANGEA · dynamiCROP · IndusChemFate · Transport · PBPK Cd · PBTK dioxin · Exp. Response · Impact calc. · Aguila · Protocol elic. · Info value · DST metadata · E & H: Monitoring Frameworks · Integrated monitoring: Concepts Framework Methods Needs
Listings Health impacts of agricultural land use change · Health impacts of regulative policies on use of DBP in consumer products
Guidance System
The concept
Issue framing Formulating scenarios · Scenarios: Prescriptive Descriptive Predictive Probabilistic · Scoping · Building a conceptual model · Causal chain · Other frameworks · Selecting indicators
Design Learning · Accuracy · Complex exposures · Matching exposure and health · Info needs · Vulnerable groups · Values · Variation · Location · Resolution · Zone design · Timeframes · Justice · Screening · Estimation · Elicitation · Delphi · Extrapolation · Transferring results · Temporal extrapolation · Spatial extrapolation · Triangulation · Rapid modelling · Intake fraction · iF reading · Piloting · Example · Piloting data · Protocol development
Execution Causal chain · Contaminant sources · Disaggregation · Contaminant release · Transport and fate · Source attribution · Multimedia models · Exposure · Exposure modelling · Intake fraction · Exposure-to-intake · Internal dose · Exposure-response · Impact analysis · Monetisation · Monetary values · Uncertainty
Appraisal