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GIS-Based Spatial Mapping of Flash Flood Hazard in Makkah City, Saudi Arabia

机译:基于GIS的沙特阿拉伯麦加市山洪灾害的空间图

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Flash floods occur periodically in Makkah city, Saudi Arabia, due to several factors including its rugged to-pography and geological structures. Hence, precise assessment of floods becomes a more vital demand in development planning. A GIS-based methodology has been developed for quantifying and spatially mapping the flood characteristics. The core of this new approach is integrating several topographic, metrological, geological, and land use datasets in a GIS environment that utilizes the Curve Number (CN) method of flood modelling for ungauged arid catchments. Additionally, the computations of flood quantities, such as depth and volume of runoff, are performed in the attribute tables of GIS layers, in order to assemble all results in the same environment. The accomplished results show that the runoff depth in Makkah, using a 50-years re-turn period, range from 128.1 mm to 193.9 mm while the peak discharge vary from 1063 m3/s to 4489 m3/s. The total flood volume is expected to reach 172.97 million m3 over Makkah metropolitan area. The advan-tages of the developed methodology include precision, cost-effective, digital outputs, and its ability to be re-run in other conditions.
机译:由于多种因素,包括崎to的地形和地质构造,沙特阿拉伯的麦加市定期发生山洪泛滥。因此,对洪水的精确评估成为发展规划中更为重要的需求。已经开发了一种基于GIS的方法来对洪水特征进行量化和空间映射。这种新方法的核心是在GIS环境中集成几个地形,计量,地质和土地利用数据集,该数据集利用曲线模型(CN)洪水模型对未开垦的干旱集水区进行建模。另外,在GIS层的属性表中执行洪水量的计算,例如径流的深度和体积,以便在同一环境中汇总所有结果。完成的结果表明,麦加的径流深度(使用50年的恢复期)范围从128.1毫米到193.9毫米,而峰值流量从1063立方米/秒变化到4489立方米/秒。麦加市区的总洪水量预计将达到1.297亿立方米。所开发方法的优势包括精度,成本效益,数字输出以及在其他条件下可以重新运行的能力。

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