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Assessment of Three Flood Hazard Mapping Methods: A Case Study of Perlis

机译:三种洪水灾害制图方法的评估:以玻璃市为例

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摘要

Flood is a common natural disaster and also affect the all state in Malaysia. Regarding to Drainage and Irrigation Department (DID) in 2007, about 29, 270 km~(2)or 9 percent of region of the country is prone to flooding. Flood can be such devastating catastrophic which can effected to people, economy and environment. Flood hazard mapping can be used is an important part in flood assessment to define those high risk area prone to flooding. The purposes of this study are to prepare a flood hazard mapping in Perlis and to evaluate flood hazard using frequency ratio, statistical index and Poisson method. The six factors affecting the occurrence of flood including elevation, distance from the drainage network, rainfall, soil texture, geology and erosion were created using ArcGIS 10.1 software. Flood location map in this study has been generated based on flooded area in year 2010 from DID. These parameters and flood location map were analysed to prepare flood hazard mapping in representing the probability of flood area. The results of the analysis were verified using flood location data in year 2013, 2014, 2015. The comparison result showed statistical index method is better in prediction of flood area rather than frequency ratio and Poisson method.
机译:洪水是一种常见的自然灾害,也影响着马来西亚的整个州。关于排水和灌溉部门(DID),2007年,该地区约29、270 km〜(2)或9%的地区容易发生洪水。洪水可能会给人,经济和环境造成灾难性破坏。洪水灾害图可以用作洪水评估中的重要部分,以定义那些容易发生洪水的高风险区域。这项研究的目的是准备在玻璃市的洪水灾害地图,并使用频率比,统计指标和泊松方法评估洪水灾害。使用ArcGIS 10.1软件创建了影响洪水发生的六个因素,包括海拔,距排水网络的距离,降雨,土壤质地,地质和侵蚀。本研究中的洪水位置图是根据DID在2010年的洪水区域生成的。分析这些参数和洪水位置图以准备洪水灾害图,以表示洪水区域的可能性。使用2013、2014、2015年的洪水位置数据对分析结果进行了验证。比较结果表明,统计指标法比洪泛比和泊松法更好地预测洪水面积。

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