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Evaluation of the risk of flood in Iskandar Malaysia Region using fuzzy logic and weighted linear combination in Geographic Information System

机译:基于模糊逻辑和加权线性组合的地理信息系统评价马来西亚依斯干达地区的洪灾风险

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摘要

Recently, Iskandar Malaysia region have been affected by flood events, which cause environmental, social and economic impacts. Severe rainfall, natural situation, new unplanned developments, and insufficient drainage systems make the situation more remarkable. This research is an approach of flood hazard assessment at regional scale. The objectives of this study are to find out the criteria which contribute to the risk of flooding based on the characteristic of the region to develop a GIS-aided urban flood susceptibility map. Fuzzy logic and Weighted Linear Combination (WLC) methods in Geographic Information System (GIS) are used to achieve the objectives. Defined criteria are evaluated by means of complexity, uncertainty and sensitivity analysis. The methodology emphasizes on uncertainty criteria which contribute to the risk of flood and increase the risk. Distance from main stream, elevation, slope, land use type, distance from river and distance from discharge channel are recognized as effective criteria within the region. Each criterion is evaluated based on fuzzy membership type and generated map are combined using weighted linear combination to produce the final flood susceptibility map. Final susceptibility map indicates that around 6.586 square kilometers within the region face high level of risk. Pulai, Senai Kulai, Tebrau and Johor Bahru can be considered as areas which face the risk. Natural and man-made situation influence the level of risk in each area. Generally the southern part of the region has high level of risk as a consequence of conjunction of location of stream, lowland and land use type. The model is evaluated by sensitivity analysis to analysis the uncertainty and degree of importance of input criteria. Finally the situation in 2025 is investigated based on the proposed plan for 2025.
机译:最近,马来西亚依斯干达地区受到洪水灾害的影响,这些洪水造成了环境,社会和经济影响。严重的降雨,自然状况,新的计划外发展以及排水系统不足,使这种情况更加突出。这项研究是在区域范围内评估洪水灾害的一种方法。这项研究的目的是根据该地区的特征,找出造成洪灾风险的标准,从而开发出以GIS为基础的城市洪灾敏感性图。地理信息系统(GIS)中的模糊逻辑和加权线性组合(WLC)方法用于实现目标。定义的标准通过复杂性,不确定性和敏感性分析进行评估。该方法强调不确定性标准,该标准会导致洪水风险并增加风险。与主流的距离,海拔,坡度,土地利用类型,与河流的距离以及与排放通道的距离被认为是该地区的有效标准。基于模糊隶属度类型对每个标准进行评估,并使用加权线性组合对生成的图进行组合以生成最终的洪水敏感性图。最终的磁化图表明,该区域内约6.586平方公里面临着高风险。 Pulai,Senai Kulai,Tebrau和Johor Bahru被认为是面临风险的地区。自然和人为的情况会影响每个区域的风险水平。通常,由于河流位置,低地和土地利用类型的结合,该地区的南部地区具有较高的风险水平。通过敏感性分析评估模型,以分析输入标准的不确定性和重要性。最后,根据拟议的2025年计划对2025年的情况进行了调查。

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    Yeganeh Nasim;

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  • 年度 2013
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