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MODELING FLOOD HAZARDS IN NORTHERN MINDANAO, PHILIPPINES USING HEC-RAS AND LIDAR-DERIVED DEM

机译:使用HEC-RAS和激光雷达衍生的DEM对菲律宾南部棉兰老岛的洪水灾害进行建模

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The progress of high resolution flood hazard mapping become the mainstream in the academic exercise worldwide. In the Philippines, high resolutions maps have evolved to aid in flood-related disaster management and monitoring. High resolution maps become useful for localized emergency response such as evacuation and rescue operations during the disaster. However, high resolution flood maps in Northern Mindanao, Philippines are not readily available. This study aimed at modeling and mapping flood hazards within the six rivers in Misamis Oriental of Northern Mindanao, Philippines namely; Alubijid, Balatucan, Cabulig, Gingoog, Linugos, and Musimusi rivers. The study applied Geographic Information System (GIS) and the family of Hydrologic Engineering Center (HEC) model of US Army Corps such as Hydrologic Modeling System (HMS) and River Analysis System (RAS) with the integration of Light Detection and Ranging (LiDAR)-derived Digital Elevation Model (DEM). Hydrologic and hydraulic models were generated using HEC-HMS and HEC-RAS modeling tools. The developed hydrologic models were calibrated using the hydrologic data of the different typhoons hitting the respective river basins. Applicability of the calibrated models were evaluated using quantitative statistical measures such as R~2, RSR, NSE, and PBIAS. River flow hydraulics were performed through unsteady flow analysis using the hydraulic model reconstructing the events and simulating the several known return periods using Rainfall Intensity Duration Frequency (RIDF) data. Results revealed that the simulated flood depth were close to the actual event occurrences indicating applicability of both developed HEC-HMS and HEC-RAS models for all the river basins. Result of the study is significant for effective and efficient disaster risk reduction management especially during localized response operations. Moreover, the study is helpful for a more informed and a science-based decision especially in crafting policy recommendations on disaster awareness, mitigation and control measures through proper land use zoning and urban planning.
机译:高分辨率洪水灾害制图的进展成为全球学术界的主流。在菲律宾,已经开发出高分辨率地图,以帮助进行与洪水有关的灾难管理和监测。高分辨率地图对于局部紧急响应(例如灾难期间的疏散和救援行动)很有用。但是,菲律宾棉兰老岛北部的高分辨率洪水地图尚不可用。这项研究旨在对菲律宾棉兰老岛北部Misamis Oriental的六条河流内的洪水灾害进行建模和制图; Alubijid,Balatucan,Cabulig,Gingoog,Linugos和Musimusi河流。该研究应用了地理信息系统(GIS)和美国陆军水文工程中心(HEC)模型家族,例如水文建模系统(HMS)和河流分析系统(RAS),并且集成了光探测与测距(LiDAR)功能派生的数字高程模型(DEM)。使用HEC-HMS和HEC-RAS建模工具生成了水文和水力模型。使用袭击各个流域的不同台风的水文数据对开发的水文模型进行校准。使用诸如R〜2,RSR,NSE和PBIAS等定量统计量度来评估校准模型的适用性。通过使用水力模型重建事件并使用降雨强度持续时间频率(RIDF)数据模拟几个已知的返回期,通过非恒定流分析来执行河流水力学。结果表明,模拟洪水深度接近实际事件,表明已开发的HEC-HMS和HEC-RAS模型在所有流域均适用。研究结果对于有效和高效的减少灾害风险管理具有重要意义,尤其是在局部响应行动期间。此外,该研究有助于做出更明智的决策,尤其是通过适当的土地利用分区和城市规划制定有关灾害意识,缓解和控制措施的政策建议。

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