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HEAVEN will consist of a number of information
society technology applications, which will be developed in
the course of the first phase of the project. These will be
combined to form the HEAVEN system, which will be demonstrated
across the application sites ( Berlin, Leicester, Paris, Prague, Rome,
Rotterdam). A selection of the following components
will thus be demonstrated:
- Air quality monitoring
applications that will improve the process of periodic and/or
continuous quantification of traffic related emissions and
other pollutants in the air. The focus is on the targeted
enhancement of existing monitoring networks, on the application
of innovative monitoring devices namely Differential Optical
Absorption Spectrometry (DOAS), and on the integration of
cost effective monitoring devices, such as passive sampler
tubes within the monitoring concept. These applications
will help improve the overall quality of raw data, a vital
input for validation and modelling processes, and will result
eventually in more reliable information.
- Air quality modelling
applications that will improve emissions models and inventories,
as well as dispersion models. The approaches will cover
long and short-term modelling of emissions and air quality
and will address the street, urban and regional scales.
These applications will lead to improved forecasting quality,
based on the integration of air quality data (from measuring
networks and from spot measurements), emission models, dynamic
meteorological data and (near real-time) traffic flow data,
with the modelling process. Online environmental monitoring
data will be integrated into the modelling process in order
to facilitate and improve the validation of these models.
The results of the environmental modelling process will
provide a solid basis for decision making and for informing
the public, as well as professional users.
- The Decision Support
System (DSS) will provide information about "hot spots"
with short-term forecasts or long-term annual average concentrations
of traffic-related pollutants, using a user-friendly interface
for decision makers. This system will be able to evaluate
the environmental impacts for actual traffic situations
and for planned Transport Demand Management Strategies.
The system is composed of a number of modelling modules
and operator interfaces.
- The Common Information
Platform will enable the public, the media, and professional
users to obtain real-time and historic information on air
quality, noise, and traffic flow. In the course of this
application, common data structures and a common data pool
that includes all information on the assessment of emissions,
air quality and noise stemming from urban transport will
be developed and tested.
- An Urban Noise Model
will predict noise pollution by utilising input from a diverse
range of data types (including geographical, near real-time
urban traffic, and dynamic meteorological).
- The Health Data
Platform will define a data exchange platform with health
authorities for supplying near real-time health-related
information on air and noise pollution.
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Air
Quality Monitoring
Air
Quality Modelling
Decision
Support System (DSS)
Common
Information Platform
Urban
Noise Model
Health
Data Platform
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