Assessment
of the riverside vulnerability
D.
Kereselidze1, L. Matchavariani2*, V. Trapaidze1
and G. Bregvadze1
1Department of
Hydrometeorology, Faculty of Exact and Natural Sciences, Tbilisi State
University, 0179, Tbilisi, Georgia
2Department of Soil
Geography, Faculty of Exact and Natural Sciences, Tbilisi State University,
0179, Tbilisi, Georgia
*Corresponding
Author E-mail: lia.matchavariani@tsu.ge
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Key
words
Random processes,
Reliability theory,
Risk forecasting,
Riverbed degradation,
Riverside vulnerability
Publication Data
Paper received : 30.07.2016
Revised received : 25.06.2017
Accepted : 28.06.2017
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Abstract
Aim: Principal
objective of the present work was to consider the mechanism of riverside
destruction by water flow as a random process, which depends on the flow
velocity and sustainability of the riverside. The riverside vulnerability was
taken as the indicator with respect to the influence of such processes.
Methodology:
Vulnerability
assessed according to all those indices characteristic of its critical value.
It was necessary to select one of the basic determining (integral) factors
out of the indicators characteristic of critical state, according to which
vulnerability of the object will be assessed.
Results:
With
the aim of practical application of the considered method, let us examine a
virtual example was examined. The observation data subject to normal
distribution law was assumed. For the admissible river current velocity na
= 15, mathematical expectation ma = 3 m sec-1, mean
square deviation σa = 0.9; for bed velocity, nb =
20. The confidence interval of bank vulnerability was identified. Finally,
the vulnerability of a river bank with 0.95 probability was within the
interval of I0.95 = (0.57; 0.9) with point evaluation z = 0.77.
Interpretation: The mechanism of
riverside destruction by water flow was considered as a random process, which
depends on both the effect of flow rate and riverside stability.
Vulnerability, the characteristic of the riverside was taken as the indicator
of this process with respect to such influence, and famous model ?load ?
stability? from the theory of reliability was used for its identification.
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regarding the authenticity of the data, and the acceptability of the
conclusions enforced or derived, rest completely with the author(s).
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