Such landslides fall from a comparatively high
elevation, cause extensive disruption and upheaval of loose materials and soils in their
way, and can travel considerable distances uphill against opposing slopes.
Secondly, there are medium-sized or large, rapid debris flows that are released from com-
paratively high elevations and are confined to gullies as they travel down the mountain-
side, similar
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To distinguish between rain and snow, the volume is com-
pared to the water equivalent but the volume of snow is ten times larger.
Figure 1. How PWD22 determines the type of precipitation.
Using the information about the changes of the backscatter signal, water equivalent and temper-
ature the Vaisala Present Weather Detector can give information about the type of precipitation.
It is also used
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systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com-
bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement
compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or
better than persistence, depending on catchment and lead time. Usually, persistence performs
better for T=1 day and then method 3
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the com-
plexity of the hydrological processes through modelling, but its application is usually limited to
the short-range. Although the results demonstrated a great potential for this method, its success-
ful application in real-time will strongly depend on the quality and availability of streamflow
observations, which can be poor or simply missing during periods of variable durations, e.g
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and distribution network are all identified
a section at a time. In some cases, however, it might
be more valuable to focus only on a certain part of
functional model.
Fig.1. Functional Model.
The results of the risk analysis are represented
visually in a fourfold table. (Fig.2) The main idea of the
table is to provide a readily interpretable overview of
h hi hli h d i k d i i i l i
Having already been
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