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A v a l a n c h e

D y n a m i c s

a n d

D e f e n ce

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Fig.5: Hard slab stopped by steel bridges, Val Giandains-Pontresina

smallslabshavetobepreventedaswell,thedistance
between the lines of structures should be reducedand the
supporting plane should be more dense.

  1. SAFETY ANALYSIS OF AREAS CONTROLLED WITH

    SUPPORTING STRUCTURES

    Afterthe building of supporting structures the protective
    effect has to be taken into account forthe revision of haz-
    ard mapswithrespect toland-use planning.Supporting
    structuresreducethe probability of avalanche fractureand
    theirextent.Thefollowingquestionsarecrucial:which
    degreeofsafetycanbeattained belowcontrolledareas,
    how much smaller arethe hazard zones? According to our
    experiencethereareno generalsolutions. Every singlecase
    has its own characteristics. InSwitzerland theresponsibles
    are verycautiousinreducing hazardzones.Changing a
    red zone (high hazard) into a white one (no hazard) after
    the realization ofsupportingstructures isanexception,
    often a blue zone (low hazard)is introduced. Todetermine
    the residualriskbelowacontrolledareathefollowing
    criterias should be checked:
  2. Extent of the starting zone

    Often the terrain of starting zones is very complex.Be-
    side orbelow the main starting zone which is control-
    led there are secondary ones which are then decisive
    foravalanche dynamic calculations.The frequency of
    these avalanchesis often smallercompared with those
    of the main path.
  3. Arrangement of structures

    Thearrangement ofthe structuresshould correspond
    to the Swiss Guidelines(1990). Important points are the
    upper and lower boundaries of the controlled area, the
    slope distance between the lines of structures and the
    lengthof the lines. In every starting zonethereareplaces
    like narrow gullies or steep rockcliffs that are more dif-
    ficult to control. Avalanchesreleasedincontrolledareas
    are calculated with reduced flow rates due to smaller
    velocities or lower turbulent friction parameter
    x . Either
    the speedis calculatedafter adistancethat corresponds
    to the slopeparalleldistancebetweentwo structurelines
    orthe turbulent friction parameter
    xis reduced to 280
    m/s2 .
  4. Extreme snow depth


Fig.6: Snow net andsteel bridges in a springtime situation, Oberalp

According totheSwissGuidelines (1990)supporting
structures are designed for the 100-yearextreme snow
depthexpected atthe site.Howeverforhazard map-
ping events up to300years have to be considered in
Switzerland. Thereis a risk that structures are filled up
beforeanimportantsnowfalloccursandaslabis
releasedover the structures. At Weissfluhjoch (2540 m
a.s.l.) maximal snow depths are recorded normally be-
tween March and May and the most frequent snowfall
periodsare inaverage between Decemberand Febru-
ary. There are no approved methodsyet todetermine
realistic fracture depthfor avalanche dynamic calcula-
tionsasafunctionofextremesnowdepthand fora
return period T of 300 years.In practice the following
rough estimates could be used:

I.It is assumed that the difference
DH between the struc-
ture height H kand the 300 years extreme snowdepth
H
meanex t
expected inthe starting zonecorrespondstothe
fracture depth. The necessary data originate from
observationseriesoverup to60yearsofthe SFISAR
network.With the mean slope
ythe slab thickness d
can be computed fromthe snow depth difference
DH0
according to Salm et al.(1990).


Example forWeissfluhjoch (2540m):

Hex t =456cm (T~300years)
Hk =411cm (T~100years)
[!]H =456-411=45cm

II.It is assumed that theprobability P
ek
that thesnow height
equals the structurheight Hktimes the probability P
fora certain increase of snow depth within 3 consecu-
D
tive days(H3,is equal to1/300,corresponding tothe
probabilityused in hazard mapping:

Example forWeissfluhjoch (2540m):

Hk =411cm -
D(T~100years- Pk=1/100
1/300=1/100 - P
D- P
D=1/3(T D=3years
An increase of snow depth within 3 consecutive days
DH3of79cmcorrespondstoa returnperiodTDof3
years.Thisisnearlythe doublecomparedtoI.Prob-
ably itisoverestimated because of lessintense snow-
fall during the time of maximum snow depth. Withthe
meanslope
ythe slabthicknessd
0can becomputed
fromDH3 according to Salm et al. (1990).

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