Prioritization of Kashafrud sub-basins in terms of flooding sensitivity based on ELECTRE-TRI Algorithm

Publisher:
Horizon Research Publishing
Publication Type:
Journal Article
Citation:
Universal Journal of Geoscience, 2017, 5, (4), pp. 83-90
Issue Date:
2017-04-05
Full metadata record
Flooding is one of the natural disasters which have effects most areas of the country and caused the loss of life and property; therefore identifying of areas which are sensitivity to flooding is one the most important measures in reducing losses. Classification and prioritization of sub-basins the first step to counter or mitigate the effects of flooding in the drainage basins. On this basis, the purpose of this study was to classify the flooding potential of sub-basins of "Kashafrud" basin in the "Khorasan Razavi" province by the using of ELECTRE-TRI Algorithm as one of the most credible multiple criteria decision making (MCDM) classification techniques based on optimistic procedure and consistency control perspectives. To achieve this, the 1:250,000 topographic map and waterways map of the target area were studied and area was divided into 10 sub-basins, then 8 morph hydrological parameters affecting the flooding potential including basin's form factor, elongation ratio, circularity ratio, bifurcation ratio, drainage density, mean basin slope and area were evaluated. After the evaluation, it was found that "Mashhad" and "Torghabe" sub-basins had a high-risk of flooding because of the high value of drainage density and low value of bifurcation ratio in these areas, which both have a higher effect in flooding potential compared to other factors. Toos, Chenaran, Qazqanand ... sub-basins hada low risk of flooding because of the low values of the factors which increase the flooding potential and high values of the factors which decrease it. Results obtained from the original rankings and sensitivity analysis of the results reveals that the ELECTRE TRI method could rank the strategic options of flooding sensitivity. The results of the model in this paper indicate its ability to raise evaluation of flooding criteria in classification of alternatives based on various criteria.
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