Integrated System for Intelligent Regional
Environmental Monitoring & Management:
ISIREMM Project description
ISIREMM builds on the results of a FW4 Environmental
Telematics project, ECOSIM (EN1006); using ECOSIM as a
starting point, ISIREMM adds a number of innovative elements to:
From a technical and scientific point of view, ISIREMM
is based on a flexible client-server architecture that makes
full use of the publicly available Internet and its well-standardised protocols
(TCP/IP and http).
Develop an approach, architecture, and operational
prototype system that is better applicable to the realities
of NIS environmental pollution problems; This is primarily
achieved through fully exploiting a range of local data
acquisition and monitoring systems, and the integration
of locally developed simulation model components;
Advance the state-of-the-art in air quality modeling with
the integration and innovative use of different types of
monitoring data including time series of point measurements,
data from mobile and airborne units including optical and
acoustic measurements that are spatially integrated or volumetric,
and remote sensing and satellite imagery, as well as model
components that directly use these data;
Combine a management information and decision support tool for
technical users with a public information system for the
population at large to help raise environmental awareness
and empower NIS citizens to participate in the environmental
policy making process.
This basic architecture supports the flexible integration of a wide range of information resources,
and form the backbone of an innovative institutional co-operation: service providers (established
research institutions that are looking for new sources of revenues under radically changing
economic conditions) can offer their consultancy to users (regional and local administrations, large
industrial enterprises, and the general public) through a new vehicle for delivery of information
services, namely the Internet.
The state-of-the-art in the research area is perfectly describes in two specially prepared reports
issued by relevant 4FP Programme (Lee and Durnville, 1998: Telematics Technologies Applied to
the Environment. and Telematics Application Programme, Environment Sector, Area1. Air Quality
and Emissions, 1988). According those reports a number of FW4 Projects (ECOSIM, EFFECT,
EMMA, ENVIROCITY, REMSSBOT, SIGMA and TEMSIS) resulted in significant progress in the
However, there are still open questions on how one can integrate into one reliable system smart
sensors, satellite data, GIS, advanced modelling tools, DSS and results representation to arrive at
a reliable prediction of the state of the environment under varying anthropogenic and natural
pressures in an industrial center and its vicinity. Also, it is stressed that not all regions of Europe
enjoy currently available systems, needless to mention those in NIS and some Eastern Europe
This Project is aimed to fill the gap in the both direction, integrating advanced research results into
the developed system and demonstrating the advantages of such an approach in a typical NIS
location, namely Tomsk in Siberia.
Among key innovative elements are remote optical and acoustical sensors, which collect
distributed 3D (volumetric) data on both the state of the atmosphere (temperature, humidity, wind
velocity) and on pollutant concentrations in the scanned volume. Satellite imagery is integrated into
the system to get electronic map of chosen city and region and for mapping and identification of
major point source plumes for model initialisation/calibration.
Such an approach should compensate for the typical lack of regular air quality sensor networks,
which, in combination with the models, support a reasonable 3D reconstruction of air pollution over
cities and industries and their transport to neighbouring regions. Also it leads to innovative use for
simplified efficient models relying on volumetric data flow. The computational efficiency of this
modeling approach will yield quite realistic real-time support for management of environmental
situations in emergency and open new ways for pollution mitigation.
Based on 3D hydro-thermodynamics, an advanced atmospheric model allows to determine the
joint influence of topography and heat islands (the temperature structure formed by the city activity
and above the city clouds and natural IR distributions) on local atmospheric circulation, to forecast
a transport of pollutants in the atmosphere of industrial regions and on the base of variation
principle to optimise model correspondence with observations.
The model employs the volumetric data to form initial values and boundary conditions, which yields
simplification of calculations, improvement of prognosis and allows to optimise sensor positioning
and regimes of operation. Being adapted to regional climate and topography, it provides the basis
for quick and reliable forecasts for environment impacts, and thus the key to mitigation.
Amongst the remote sensors to be employed are aerosol lidars to monitor the transfer of pollutants
above the city and to quantify the amount of those emitted from a chosen source. Operating in
scanning regime, the aerosol lidar provides data on clouds, boundary layer 3D aerosol distribution
and its variation with time. Those together with local measurements allow one to retrieve a current
polluting aerosol field, to monitor its evolution, and to map and quantify emissions.
The next sensor is an all-sky photometer, which determines the daytime behaviour of industrial
plumes and clouds as well as measures incoming solar radiation fluxes including those of
importance for temperature distribution above the city IR spectral band and the UV-B radiation
harmful to people.
An acoustic locator (Sodar) is employed to measure a vertical distribution of temperature and the
wind velocity, both being of importance for the fate of pollutants in the atmosphere.
A Raman lidar is used for short-range determination of the composition and amount of emissions
from high stacks.
Specifics of the sensor set and the model employed allow the proposed system to combine both
conventionally used functions:
to reconstruct an adequate pollution distribution within the city, together with a forecast of its
evolution, and import and export on a regional scale;
to identify emission sources who contribute significantly to the overall ambient pollution
level either due to their location or because of exceedance of legal emission limits.
The possibility to perform both these tasks simultaneously is another innovation proposed by the