RiskWare: the simulation models
RiskWare has a number of built-in models for
very fast emergency simulation. In adition, a number of complex
and stochastic models for risk assessment
can be linked through the generic client-server interface.
The embedded models include:
SPILL: dynamic release model
for one and two-phase releases, pool evaporation,
and infiltration (stochastic, Monte Carlo framework);
Input: container description, meteorology, size of a possible containment,
soil permeability (infiltartion);
mass budget, dynamic source term (evaporation or jet release) for the
atmospheric model(s). All output available as a frequency distribution.
TIMES: dynamic 3-D Eulerian code
that can represent building obstacles in near-field calculations;
the model exists in both a near-field version (grid resolution
of 1-10 meters) or a meso-scale version (grid sizes of 10 - 1000 m).
Dynamic source term (automatic coupling with SPILL, see above),
dynamic meteorology, DEM, obstacle data.
Dynamic multi-layer concentration field.
DYNPUFF: dynamic multi-puff model
based on INPUFF 2.4, using the diagnostic 3-D wind model
DWM as a pre-processor; The model directly utilises the output
of the SPILL model above.
Dynamic source term (automatically coupled to the SPILL model;
3-D Wind field, automatically computed by the embedded DWM,
which in turn uses anemometric and geostrophic winds,
temperature and stability class.
Digital terrain model, surface roughness, population distribution.
dynamic 2-D concentration field (ground level)
Area and population exposure above user defined
SLAB: dynamic 3D near-field model
based on SLAB (An Atmospheric Dispersion Model for Denser Than Air Releases, D.L. Ermak, 1990,
Lawrence Livermore National Laboratory) supporting several release scenarios,
implemented as a client-server model for use with a web browser.
Dynamic source term (can be coupled to the SPILL model);
Meteo data, chemical data.
dynamic 3-D concentration field;
Various dynamic down-wind and cross-wind profiles
and transects are generated as graphs.
GSTM: Gaussian short-term model
for one or more sources, steady-state with possible terrain correction,
includes representation of stack effects (momentum and thermal buoyancy);
Release term (steady state), substance parameters (specific gravity),
stack height, diameter, exit velocity, exit temperature.
Meteorological parameters: wind speed and direction, air temperature,
stability class, mixing height (not really needed for the near-field cases).
Digital terrain model (optional) and population distribution.
Steady-state 2-D concentration field.
Model also computed areas above user defined threshold values and
BLAST explosion models
TNT equivalency and a fuel-air charge blast explosion model
from the TNO Yellow Book (Third Edition 1997);
Substance amount and parameters, for the TNO model also
ignition strength and blockage factors;
Landuse and population distribution.
The limits of explosivity
are estimated by the near-field model included in the dynamic SPILL
2-D pressure distribution, population and area exposed to pressures
above a user defined threshold.
FIRE: steady-state 2-D fire model
can describe pool and trench fires as well as BLEVE (Boiling Liquid Expanding Vapor Explosion).
Source term (feed rate) and substance parameters (loaded automatically from the
hazardous chemicals data base of RiskWare); pool or trench geometry,
wind direction and speed, background temperature.
Heat flux or temperature distribution (steady state, 2-D).
SOILGW: stochastic 1-D soil/groundwater infiltration model
estimates the arrival time of a spill at the water table,
using substance viscosity, soil properties, and the
groundwater level (distance from soil surface).
Monte Carlo implementation.
substance properties, soil properties, groundwater head (vertical distance)
Arrival time of the contaminant (probability distribution).
MS: Metodo Speditivo
fast empirical estimation method from Italy;
uses tabulated data for substance classes,
amounts and storage conditions,and weather conditions.
Substance class, amount, storage conditions,
weather, population distribution.
Safety zones (radii) and their sizes, population exposure.
DRSM: dynamic river spill model
a dynamic, Lagrangian water quality model based on the USGS BLTM model,
can handle several non-interacting conservative
or first order decaying substances simultaneously in
complex, branched channel systems.
The model uses a rule-based expert system as a post-processor to assess the
likelihood a fish kills, based on the LC 50 data for a number of aquatic species
from the hazardous chemical data base.