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首页> 外文期刊>Universal Journal of Geoscience >Prioritization of Kashafrud Sub-basins in Terms of Flooding Sensitivity Based on ELECTRE-TRI Algorithm
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Prioritization of Kashafrud Sub-basins in Terms of Flooding Sensitivity Based on ELECTRE-TRI Algorithm

机译:基于ELECTRE-TRI算法的洪泛敏感度下的Kashafrud子流域优先排序

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摘要

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.
机译:洪水是自然灾害之一,对全国大部分地区造成影响,并造成生命和财产损失。因此,确定对洪水敏感的地区是减少损失的最重要措施之一。子流域的分类和优先次序是应对或减轻流域洪灾影响的第一步。在此基础上,本研究的目的是通过使用ELECTRE-TRI算法作为最可靠的多准则决策方法之一,对“霍拉桑拉扎维”省的“卡沙夫鲁德”盆地子盆地的洪泛潜力进行分类( MCDM)基于乐观程序和一致性控制观点的分类技术。为此,研究了目标区域的1:250,000地形图和水道图,并将该区域划分为10个子流域,然后研究了8个影响洪水潜能的形态水文参数,包括盆地的形态因子,延伸率,圆度比,分叉。评估比率,排水密度,平均流域坡度和面积。评估后发现,“ Mashhad”和“ Torghabe”子流域的洪水风险高,因为这些地区的排水密度值高且分叉比值低,在这两个地区都具有较高的影响。与其他因素相比,洪水泛滥的潜力。 Toos,Chenaran,Qazqanand ...子盆地的洪灾风险低,这是因为增加洪灾潜能的因子值较低,而降低洪灾潜能的因子值较高。从原始排名中获得的结果以及结果的敏感性分析表明,ELECRET TRI方法可以对洪水敏感性的战略选择进行排名。该模型的结果表明,该模型能够提高基于各种标准的替代品分类中的洪水标准的评估能力。

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