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Combining Arc-GIS and OWA model in flooding potential analysis (case study: Meshkinshahr city)
Natural Hazards ( IF 3.3 ) Pub Date : 2020-05-13 , DOI: 10.1007/s11069-020-03975-0
Ata Ghaffari Gilandeh , Behrooz Sobhani , Elnaz Ostadi

“Streets have been turned into rivers”; this is a news headline which we have been hearing more often recently and refers to the floodwaters flowing into cities. Therefore, the present research is aimed to analyze the flooding potential in Meshkinshahr city (located at the northwest of Iran) using ordered weighted average model, which is one of the multi-criteria analysis techniques with high flexibility in decision-making and allows the researcher to evaluate different scenarios by choosing ordinal weights within an interval of full risk-taking and full risk aversion. In this research, eight criteria were used as inputs for this model. Initial preparation of the criteria was performed by Arc GIS software as well as Arc Hydro and ArcCN-Runoff tools. Then, in the next steps, data were imported to IDRISI software. By assigning 3 ordinal weights (ANDness, ORness, and Trade-off) to the model, the outputs were obtained. Finally, significance of the model in this field was revealed and the flooding potential was presented for the considered area in the form of maps in proportion to the selected ordinal weights with a valuation domain.



中文翻译:

结合Arc-GIS和OWA模型进行洪水潜力分析(案例研究:Meshkinshahr市)

“街道变成了河流”;这是我们最近听到的新闻头条,指的是流入城市的洪水。因此,本研究旨在使用有序加权平均模型分析Meshkinshahr市(位于伊朗西北部)的洪灾潜力,这是一种具有高决策灵活性的多准则分析技术,可以使研究人员通过在完全承担风险和完全避免风险的间隔内选择序数权重来评估不同的方案。在这项研究中,八个标准被用作该模型的输入。该标准的初始准备工作是通过Arc GIS软件以及Arc Hydro和ArcCN-Runoff工具完成的。然后,在下一步中,将数据导入IDRISI软件。通过为模型分配3个序数权重(ANDness,ORness和trade-off),获得了输出。最后,揭示了该模型在该领域中的重要性,并以地图的形式与选定的具有评估域的序数权重成比例地显示了所考虑区域的洪水潜力。

更新日期:2020-05-13
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