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

机译:利用HEC-RAS和LIDAR衍生的DEM在菲律宾北方棉兰老义义义义造型洪水危险

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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:高分辨率洪水危害映射的进展成为全球学术锻炼的主流。在菲律宾,高分辨率地图已经进化以帮助泛滥灾害管理和监测。高分辨率地图对于灾难期间的疏散和救援行动等局部应急响应变得有用。然而,菲律宾北方北方棉兰老岛的高分辨率洪水地图并不容易获得。本研究旨在在菲律宾北方北方北方米兰岛东方的六条河流内建模和绘制洪水危害。 alubijid,巴拉丁,Cabulig,Gingoog,Linugos和Musimusi河流。该研究应用地理信息系统(GIS)和水文工程中心(HEC)模型,如水文建模系统(HMS)和河流分析系统(RAS)的光检测和测距(LIDAR)多分式的数字高度模型(DEM)。使用HEC-HMS和HEC-RAS建模工具产生水文和液压模型。使用不同台风的水文数据校准开发的水文模型,这些水文数据击中各自的河流盆地。使用定量统计测量评估校准模型的适用性,例如R〜2,RSR,NSE和PBIA。通过使用液压模型重建事件并使用降雨强度持续时间频率(RIDF)数据来模拟几个已知的返回时段来执行河流流动液压。结果表明,模拟的洪水深度接近实际的事件发生,这表明所有河流盆地的发达的HEC-HMS和HEC-RAS模型都适用。研究结果对于有效和有效的灾害风险减少管理,特别是在本地化响应业务期间。此外,该研究有助于更明智和基于科学的决定,特别是通过适当的土地利用分区和城市规划来制作关于灾难意识,减缓和控制措施的政策建议。

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