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superimposed to the map of the predicted hazard. Fig. 6
shows an examplefrom a very extreme situation. On march
23, 1996 most of the possible avalanches departed. All of
them started in the dark aerea: PHGmax = 6 * 5 * 5 * 5 =
750.For reliablevalidationexperimentalavalanchesshould
be performed (Bolognesi 1996). Spontaneous or accidental
avalancheshave the disadvantagethat they are not always
reconstructable. Very often they were not observed and
many of the connected parameters remain unknown.
Moreover it is difficult to localize the release areas of
potential avalanches. They manifest themselfes only by
external influences such as skitourists, animals or
explosives. Since suchavalanchesarerare (fortunatly) and
not always predictable, it is difficult to gather abig enough
sample for statistical testing - a fact which complicates
the work of all avalanche experts.

CONCLUSIONS AND OUTLOOK

The visualization of the Swiss avalanche bulletin using
GIS is an attempt to hand more detailed information to the
public: mountainprofessionals as well aspeople withlittle
avalanchetrainingandexpert knowledge. All these people
expect and eventually depend on detailed information
concerning the snowcover and avalanchesituation.
As shown, it is possible to "pin down" the avalanche
hazard and to reproduce it in a scale in which the indi-
vidual skitourist moves to and fro as well. Setting up a
model like LAWIPROGand producingsuch maps is possi-
ble as soon as the underlaying data like a high resolution
digitalterrainmodel are available.It wouldevenbe possible
to model optimal skiroutes (between departure andarrival
point) on top of predicted hazard maps by using so called
"cross country movement" algorithms (Xu and Lathrop,
1995). However, thecritical question must be asked, if such
maps should be produced at all. To most forecast systems
a great many sources of uncertainties are inherent. Very
often simple models are used, which can only be justified
if they are applied by experts. In the wrong hands such
maps may be disastrous. On the other hand with modern
computing facilities it will not take long until such maps
will be produced and spread by the mass media. Most
obviously not much expert knowledge will then be in-
volved. Therefore it is planed to further develop
LAWIPROG at the SFISAR. LAWIPROG will be tested in-
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Fig. 4: Calculation of weight-factor for ASPECT

Again flexible rules for expressions like "all aspects",
"facing north" or "shady slopes" exist.
In our (fictive) example, a 38 degree steep, northeast
facing slope at an altitude of 3000 m would be estimated
with PHGmax = 8 * 5 * 5 * 5 = 1000 (see Fig. 5).
RESULTS AND VERIFICATION OF LAWIPROG

The output of the LAWIPROG-model is a raster data set of
continous "hazard values" for each cell. These values can
now be transformed into a colorramp for cartographic pur-
pose showing all transitions from non-dangerous (non-
hazardous) to dangerous (hazardous)areas for a givenbul-
letin. According to the European hazard standard a
colorramp from green to red over yellow was choosen. In
the present paper dark grey/black indicates high danger,
light gray low danger (see Fig. 5).
With LAWIPROG's interactive user interface the PHG
can now be analysed. For eachcellsall values can be inter-
rogated,areas of equalvaluescanbeselected,altitude,slope
and aspect of a selected cell will appear on the screen etc.
Moreover input parameters can be changedand newmaps
be calculated immediately. Thanksto modern data storage
technologies computational operations perfomed by the
GRID module require only little computing time and new
PHGs may be obtained within moments. This is a great
advantagefor theexperts whowantto evaluatetheaccuracy
of their forecast before its release.
The multiplicative modell is but an initial approach.
LAWIPROG was developed during winter 1995/96. The
weight-factors were definedby avalanche experts, but not
yet empirically tested under field conditions. The first
method to do so is to compare the predicted hazard with
observed events. Released avalanches - spontaneous and
man-made ones - can be mapped, digitized and finally

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