Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed

G. Puno, R. Puno, I. V. Maghuyop
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引用次数: 10

Abstract

BACKGROUND AND OBJECTIVES: The study involved developing a two-dimensional flood model to analyze the risk exposure of land use/land cover based on the generated flood hazard maps for the six return period scenarios in the Solana watershed. METHODS: The approach consisted of applying hydrologic and hydraulic numerical flood models and the suite of advanced geographic information systems and remote sensing technologies. The process involved utilizing a high-resolution digital elevation model and a set of high-precision instruments such as the real-time kinematic-global position system receiver, digital flow meter, deep gauge, and automatic weather station in collecting the respective data on bathymetry, river discharge, river depth, and rainfall intensity during a particular climatic event, needed for the model development, calibration and validation. FINDINGS: The developed two-dimensional flood model could simulate flood hazard with an 86% accuracy level based on the coefficient of determination statistics. The flood risk exposure analysis revealed that coconut is the most affected, with 31.3% and 37.1% being at risk across the 2-year and 100-year return period scenarios, respectively. Results also showed that rice and pineapple are at risk of flooding damage with the increasing rate of exposure by a magnitude of 42.9 and 9.3 across the 2-year and 100-year flood scenarios, respectively. CONCLUSION: The study highlighted the integration of the findings and recommendations in the localized comprehensive land use plan and implementation to realize the challenge of building a climate change proof and a flood-resilient human settlement in the urbanizing watershed of Solana.
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基于二维洪水模型的流域土地利用/土地覆盖风险暴露分析
背景与目的:基于生成的索拉纳流域六个回归期情景的洪水灾害图,本研究建立了一个二维洪水模型,以分析土地利用/土地覆盖的风险暴露。方法:采用水文水力数值洪水模型,结合先进的地理信息系统和遥感技术。该过程包括利用高分辨率数字高程模型和一套高精度仪器,如实时运动学全球定位系统接收器、数字流量计、深度计和自动气象站,在特定气候事件中收集有关水深、河流流量、河流深度和降雨强度的数据,这些数据是模型开发、校准和验证所需的。结果:基于确定统计系数,建立的二维洪水模型能以86%的准确率模拟洪水灾害。洪水风险暴露分析显示,椰子是受影响最大的,在2年和100年的回归期情景中,分别有31.3%和37.1%的风险。结果还表明,在2年和100年的洪水情景中,水稻和菠萝面临洪水破坏的风险,暴露率分别增加了42.9和9.3级。结论:该研究强调了将研究结果和建议整合到局部土地综合利用规划和实施中,以实现索拉纳城市化流域建设气候变化和抗洪人类住区的挑战。
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来源期刊
CiteScore
7.90
自引率
2.90%
发文量
11
审稿时长
8 weeks
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