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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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