- 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