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Sea Level Rise Flood Zones: Mitigating Floods in Surabaya Coastal Area

机译:海平面上升洪水带:减轻泗水沿海地区的洪水

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Sea level rise (SLR) brings with it a negative impact towards Surabaya's coastal area as this particular part of the city is situated only 0-3 meters above sea level. The amount of damage due to the floods indicates the city's level of readiness in facing threats from the flood. With flood height up to 90 centimeters, it is necessary to classify flood risk levels in an attempt to reduce the impact that will occur.This paper identify sea level rise by using least square regression, which generates the trend and prediction of sea level rise. The next analysis is the identification of a potentially disaster due to sea level rise by using multinomial logistic regression. Identification of flood hazard characteristics through weighted-overlay analysis using flood height and duration as variables. It also identifies factors influencing vulnerability using Delphi analysis. AHP Expert is then employed to calculate the weight of each factor. Vulnerable zones are determined using overlay-weighted-sum on each vulnerable factor. These results are then mapped using Raster Calculator method, placing emphasis on risk functions influenced by hazard and vulnerability.The final result is a flood risk zone map which identifies 5 risk levels according to the National Disaster Mitigation Guidance.
机译:海平面上升(SLR)对泗水的沿海地区造成负面影响,因为该城市的这一特定区域仅位于海平面0-3米处。洪水造成的破坏程度表明了城市面对洪水威胁的准备程度。在洪水高度不超过90厘米的情况下,有必要对洪水风险等级进行分类,以减少可能发生的影响。本文使用最小二乘回归法确定海平面上升,从而产生趋势并预测海平面上升。接下来的分析是通过使用多项逻辑回归来识别由于海平面上升而引起的潜在灾难。通过使用洪水高度和持续时间作为变量的加权叠加分析来识别洪水灾害特征。它还使用Delphi分析来确定影响漏洞的因素。然后使用AHP专家计算每个因素的权重。使用每个易受害因素上的覆盖加权总和来确定易受害区域。然后使用栅格计算器方法对这些结果进行映射,重点放在受危害和脆弱性影响的风险函数上。最终结果是洪水风险区图,根据《美国国家减灾指南》确定了5个风险等级。

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