首页> 外文会议>Brunei International Conference on Engineering and Technology >GIS-BASED TECHNIQUES TO IDENTIFY RAINFALL-INDUCED FLOOD RISK ZONES (BLUE SPOTS): A CASE STUDY OF BRUNEI RIVER CATCHMENT
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GIS-BASED TECHNIQUES TO IDENTIFY RAINFALL-INDUCED FLOOD RISK ZONES (BLUE SPOTS): A CASE STUDY OF BRUNEI RIVER CATCHMENT

机译:基于GIS的技术识别降雨造成的洪水风险区(蓝斑):文莱河流域的案例研究

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Brunei continues to be inflicted by rainfall-induced floods that have been identified to be contributed by global climate change, increased population, developments, country's geography and her relative location in the Asia-Pacific region. By and large, floods cause detrimental effects on the country's social and economic health as well as damage to infrastructure and assets. Thus, it is becoming more imperative that a systematic study be conducted to identify the vulnerable locations (blue spots) in the flood-prone areas to help manage and mitigate the frequency and severity of floods respectively through engineering interventions. Using ArcMAP, the first goal of this paper is to determine the blue spots using planar spatial methods - Getis-Ord Gl* statistics using aggregated data from 2010 to 2018 for Brunei River. The second goal is to use HEC-RAS two-dimensional unsteady flow analysis will be performed to model a flood event of 50-year return period to predict the flood depths and extents. Ultimately, the blue spot mapping helps many relevant departments to steer towards preparedness, protection and prevention strategies.
机译:文莱继续通过降雨诱导的洪水来造成,这些洪水被确定为亚太地区的全球气候变化,人口,发展,国家地理和她的相对地点贡献。 By Andland,洪水对该国的社会和经济健康以及基础设施和资产的损害造成不利影响。因此,它变得越来越迫切需要进行系统研究,以识别洪水易受领域的易受攻击的位置(蓝斑),以帮助管理和减轻洪水的频率和严重程度,通过工程干预。使用ArcMap,本文的第一个目标是使用平面空间方法确定蓝色斑点 - Getis-Ord GL *统计数据,从2010年到2018年为文莱河。第二个目标是使用HEC-RA的二维非定常流量分析将进行模拟50年返回期的洪水事件,以预测洪水深度和范围。最终,蓝色点映射有助于许多有关部门朝向准备,保护和预防策略转向。

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