ABSTRACTS / RESUMES - Comitato Glaciologico Italiano
ABSTRACTS / RESUMES - Comitato Glaciologico Italiano
ABSTRACTS / RESUMES - Comitato Glaciologico Italiano
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Large amount of information about morphology and dynamics<br />
of sandy beaches in the coastal zone of the non-tidal<br />
Black Sea mainly on the example of Ukrainian shores has<br />
been accumulated and processed. Two main types of beaches<br />
were considered: with lean-to (foreshore) profile and<br />
two-sloping (gable) profile (with foreshore and backshore<br />
sides). Beaches containing in themselves from 10 to 40<br />
m'z'm of sand prevail. Numerical correlations between linear<br />
and volumetric parameters of the beaches were obtained.<br />
It was found out that the parameters are relatively stable<br />
during long-term period. Under the impact of wave regime<br />
during storms and some seasons beach undergo<br />
short-term deformation values fluctuate around certain<br />
average value are different in correspondence with concrete<br />
local conditions. This conclusion was elaborated for<br />
coast-protective constructions of different types, which gives<br />
opportunity to optimize planning, management and<br />
operation of coast-protective structures.<br />
In the paper in succession are given: conditions of development<br />
and definition of sandy beaches, morphodynamical<br />
types and development in duration of time, the results<br />
of the study of correlation between same parameters of natural<br />
beaches sizes. Then we consider the problem of creating<br />
and dynamics of artificial beaches from the position of<br />
correlation of beach dimensions and wave energy regulation.<br />
Such approach has practical importance for projection,<br />
management and operation of the beaches as a means<br />
of abrasive and erosive shore protection against wave destruction.<br />
In natural conditions of the Northern Black Sea<br />
coastal zone sandy beaches are subjected to the action of<br />
storm waves from 0.5 to 5.1 m high. The most effective waves<br />
higher than 1.25 m, act during 470-850 hours a year in<br />
the average for a long-term period (5.4-9.7 % a year) in different<br />
sectors of the coastal zone. The average reoccurence<br />
of wave height more than 3 m is 0.04-0.07 % (or 35-62<br />
hours) a year. The strongest sandy beach deformations<br />
take place during the action of the waves higher than 1.25<br />
m. As a rule stormy waves are steep, usually 0.03-0.08. The<br />
main conclusions are:<br />
- As a result of long-term instrumental measurements<br />
sandy beaches in the coastal zone of the non-tidal Black<br />
Sea were studied.<br />
- The amount of drifts contained within the beach is its<br />
universal dimension, numerical values being different<br />
within various alongshores lithodynamical cells within a<br />
coastal zone.<br />
- The parameters of sandy beach are closely interconnected<br />
with rather high coefficient of correlation, which indicates<br />
of close connection with the full complex of forming<br />
factors and processes.<br />
- Relative stability, constancy of long-term dimensions of<br />
sandy beaches preserve against the background of essential<br />
short-term variations around the average value within strictly<br />
definite limits.<br />
- Regularities of natural development of beaches must be<br />
used in the processes of planning, management and exploitation<br />
of shore-protective structures. In this connection three<br />
main scenarioes taking into account the correlation of<br />
dimensions (volume) of artificially created beaches, and<br />
ammount of wave energy acting on beaches: artificial increase<br />
of protecting beach sizes by means of artificial filling<br />
with preservation of non-changed wave energy flow;<br />
artificial reduction of wave energy amount with preservation<br />
of previous natural supply of drifts on protecting beach;<br />
artificial reduction of wave energy amount and increase<br />
of protecting beach dimensions by artificial filling of drifts.<br />
- Numerical values of lithodynamical cubic content and limits<br />
of short-term deformations of beach parameters are<br />
different in various alongshore lithodynamical cells and sites<br />
of the coastal zone.<br />
REMO MASSARI & P.M. ATKINSON<br />
Modelling susceptibility to landslide:<br />
an approach based on individual landslide type<br />
Department of Geography, University of Southampton,<br />
Highfield, Southampton SOI7 IB], U.K.<br />
Landslide hazard mapping amounts to map the probability<br />
of landsliding within a given region (that is, where landslides<br />
might occur in the future) in a given time scale (Hansen,<br />
1984). This may be achieved using both direct and indirect<br />
approaches. A landslide map may be used to some<br />
extent as a landslide hazard map because slopes that have<br />
already failed are likely to be composed of weaker material<br />
that may be subject to further movements. However, a<br />
landslide map fails to assess the landslide hazard for slopes<br />
that have not yet failed, and generally overestimates the hazard<br />
for areas that have already failed. Therefore, it is generally<br />
necessary to attempt to map the landslide hazard.<br />
A landslide hazard map should include an indication of the<br />
time scale within which a particular landslide is likely to<br />
occur. In practice, data on the temporal dimension of the<br />
landslide hazard are difficult to obtain, since landslide triggering<br />
is usually due to external causes (rainfall or earthquakes).<br />
For this reason landslide hazard maps are usually<br />
simple landslide susceptibility maps (Carrara & alii, 1996).<br />
When attempting to map landslide susceptibility, one never<br />
has data on future landslides. The statistical model is<br />
constructed between data on past landslides and a set of<br />
selected independent variables. As a consequence, the estimated<br />
susceptibility is likely to be similar to a landslide<br />
map. The assumption is that, for those slopes that have not<br />
already failed, the relative differences in the estimated values<br />
may point to relative differences in susceptibility to<br />
landsliding.<br />
The selection and definition of independent variables is a<br />
key point in modelling landslide susceptibility. For example,<br />
old landslide areas are sometimes reforested partly as a<br />
result of a slope stabilisation program. In a statistical model,<br />
landslides will be positively correlated with reforestation.<br />
However, reforestation is a post-landslide condition<br />
and, clearly, does not imply an increase in susceptibility to<br />
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