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- A. Sydow
Simulation Software for Air Pollution Management - Isabelle Herlin
DECAIR: a system for providing air pollution forecast models with input data acquired by Earth Observation
Simulation Software for Air Pollution Management
A. SydowGMD FIRST, Berlin, Germany
sydow@first.gmd.de
Air pollution management is based on field measurements and simulation models. Techniques are needed to develop complexs simulation models based on historically grown submodels. Techniques to test complex models and to visualize results are needed. Thus advanced simulation techniques for complex systems should users provide with software for model linkage, distributed computing, www access, 3D graphics, etc.
The talk deals with examples and experiences of simulation in the area of air pollution management (projects funded by EC and German Federal Ministry of Education and Research - BMBF).
The project DYMOS (Dynamic Models for Smog Analysis) funded by BMBF is concerned with the development and pilot application of simulation systems and models for air pollution and vehicular traffic, running on HPC platforms. The work in DYMOS is mainly characterized by the adaptation and parallelization of numerical algorithms, parallel implementation of available simulation models and model coupling.
In order to consider different environmental domains such as air, surface water, and coastal water and therefore to ensure as complete an environment quality analysis as possible, the European cooperation project ECOSIM (Ecological and Environmental Monitoring and Simulation System for Management Decision Support in Urban Areas) was initiated. The ECOSIM system builds on a set of sophisticated state-of-the-art simulation models (e.g. air chemistry models). It exploits existing knowledge in environmental management by connecting these models with an advanced GIS, on-line monitoring networks, local databases, and an embedded expert system.
The aim of the European cooperation project HITERM (High-Performance Computing and Networking for Technological and Environmental Risk Management) is to reach better-than real time performance for the simulation of the accidental release of hazardous substances into the atmosphere, ground, or surface water. For this purpose, the model system must run in a time much shorter than real time, usually with a sparse input data set.
The objective of the European cooperation project SIMTRAP (HPCN Simulation of Traffic Induced Air Pollution Using Parallel Computing in a Distributed Network) is the development and demonstration of an integrated simulation system for traffic flow, traffic emissions and air pollution dispersion as a decision support tool for transport and environmental authorities. The simulation results are visualized in a local 3D GIS system with built-in functionality for decision support.
The subject of the BMBf funded project GLOBALSIM is the diversity of the simulation models for sustainability research and the very complex interactions on different hierarchical system levels which necessitate the development of a flexible and generic simulation framework. This framework has to support the linkage and management of simulations on all hierarchic levels in a distributed-computing manner. Requirements for interaction demanded by human decision-makers are considered by the concept of virtual world simulation.
DECAIR: a system for providing air pollution forecast models with input data acquired by Earth Observation
SpeakerIsabelle Herlin
Abstract
The aim of DECAIR is to provide companies in charge of forecasting urban
pollution with good quality data derived from Earth Observation devices in
order to improve the results of existing air quality models.
For that purpose the system includes different components (Earth Observation
Data Conversion models, Data base, Forecast models,...) and the integration is
one of the key aspect in order
- to incorporate new converted EO data in the future,
- to ease the implementation of models to new sites,
- and to help end-users to choose input data of better quality.