SIENA - data description

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SIENA

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	25 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

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Integrated Environmental Health Impact Assessment System