Technological Risk
Assessment &

RiskWare Image Gallery

This collection of more recent screendumps from various RiskWare applications should provide an overview of the systems functionality and potential.

Each thumbnail sketch is a link to the full-sized screendump in GIF format, 1280 by 1024 pixels, and usually between 50 to 300 kB.

Location and immediate surroundings of a chemical plant; the plant layout is displayed over a local landuse map and orthophoto. Plant description: the risk object includes the location reference, plant layout, and a hierarchical access to all its components including production units, reactors, and storage containers. The plant description leads to individual reactors and containers, that provide the source term for accident scenario simulation.
As an additional feature of a plant description, the Safety Report can be embedded as an HTML hypertext document. The Safety Reports and Alarm Plans are stored in XML/HTML, and contain dynamic elements from the knowledge base. Preparation of Safety reports can be supported by the built-in expert system, guiding through the step-by-step procedure.
Additional tools such as Event Tree Models are used to identify and characterise hazards. Supported by the expert system, simple dialogs help to define the necessary parameters. Simulation model results (see below) can be linked directly into the Reports. The dyanmic Eulerian 3-D near-field models use a dynamic source term, weather conditions, and the chemical's properties.
The 3-D wind field calculation take obstancles such as buildings and major installations within a plant into account. An efficient solver can run the model for a very high resolution (1 to 5 meters) domain at least 10 times faster than real-time. The 3D wind field calculation take obstancles such as buildings and major installations within a plant into account.
The atmospheric dispersion models use a dynamic source term, weather conditions, and the chemical's properties. A 3D disgnostic wind field model is used as a pre-processor. The dynamic atmospheric dispersion models estimates ambient concentrations and population exposure based on threshold values for toxicity. The embedded chemical data base (chemical properties and MSDS) supplies all necessary substance parameters for modeling and evaluation.
Impact assessment uses a georeferenced data base of senstive objects such as schools, hospitals, shopping centers etc. which affect population distribution. Background map (orthophoto) for the BLAST model, showing an railway station in an urban setting in the center. Color-coded results from the BLAST model (both a TNT equivalency and a multiple fuel-air charge blast model (TNO) are available. The model estimates population exposure.
The FIRE models can describe chemical fires for several geometries (pool, trench, BLEVE) it describes the radiative temperature field for a given chemical and fuel flow/combustion rate. The Metodo Speditivo is a rapid assessment method developed in Italy; it estimates safty zones around an accident site. The implementation also estimates population in each zone. Atmospheric displersion of toxic substances is simulated with different dynamic models: multi-puff Gaussian, Eulerian, or Lagrangian codes.
The impact analysis is supported by the embedded GIS functionality that suports various tools for overlay analysis. The real-time expert system provides a context sensitive dialoge with the user, compiling information and providing advise. Information compiled by the user and entered through various editing tools, is evaluated by the rules of the expert system, that triggers the most appropriate function.s of the system.
As a complex source example describing a railway train with hazardous cargo in multiple railway cars demonstrate the potential complexity of accident scenarios. The dynamic source models estimates release from a damaged container in one or two-phases, pool evaporation, infiltration into the soil, and the probabilties for fire and explosion. The dynamic dispersion model uses a 3D disgnostic wind field model as a pre-processor; the model is based on INPUFF 2.4, a multi-puff model.
The dynamic concentration field is analysed together with the population distribution to estimate the number of people exposed to concentrations above toxicty thresholds.

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