Database assessment of CMIP5 and hydrological models to determine flood risk areas
Database assessment of CMIP5 and hydrological models to determine flood risk areas
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DOI：
10.1088/1755-1315/46/1/012036
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发表时间：
2016-11
期刊：
影响因子：
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通讯作者：
P. Limlahapun;H. Fukui
中科院分区：
文献类型：
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作者：
P. Limlahapun;H. Fukui
解决与水有关的灾害可能不是用单一的科学方法就能解决的。基于这一前提，我们涉及逻辑概念，关联模型之间的顺序结果，以及试图在洪泛上下文中分析历史和未来场景的数据库应用程序。研究中使用的三个主要模型是：(1)用于计算降水的耦合模型比对项目(CMIP5)的第五阶段；(2)用于提取流量的综合洪水分析系统(IFAS)；(3)用于生成淹没区域的水文工程中心(HEC)模型。这项研究特别侧重于集成数据，而不考虑系统设计的复杂性，而且数据库方法非常灵活、可管理，并为系统数据传输提供了良好的支持，这使它们适合于监测洪水。洪水地图的结果与实时河流数据相结合，可以帮助当地社区提前识别洪水风险地区。
Solutions for water-related disasters may not be solved with a single scientific method. Based on this premise, we involved logic conceptions, associate sequential result amongst models, and database applications attempting to analyse historical and future scenarios in the context of flooding. The three main models used in this study are (1) the fifth phase of the Coupled Model Intercomparison Project (CMIP5) to derive precipitation; (2) the Integrated Flood Analysis System (IFAS) to extract amount of discharge; and (3) the Hydrologic Engineering Center (HEC) model to generate inundated areas. This research notably focused on integrating data regardless of system-design complexity, and database approaches are significantly flexible, manageable, and well-supported for system data transfer, which makes them suitable for monitoring a flood. The outcome of flood map together with real-time stream data can help local communities identify areas at-risk of flooding in advance.