Under the impacts of hydrologic extremes, there is a growing need for integrated frameworks for flood inundation mapping. In this study, we introduce a framework: the Coupled Routing and Excess Storage for inundation MApping and Prediction (CREST-iMAP). It utilizes a highly parallelized and fully integrated hydrologic-hydraulic model and aims to improve flood prediction. To highlight the advantages, a synthetic rainfall event and the 500-year Hurricane Harvey event were investigated using the CREST-iMAP, compared with a hydrologic model, a hydraulic model, and a simplified hydrologic-hydraulic model. The results indicate the CREST-iMAP achieves good performances in both hydrologic simulation and floodplain inundation mapping. Moreover, the antecedent soil moisture is the most sensitive parameter to model accuracy, followed by the land surface characteristics; the infiltration process to a flood forecasting model is significant. Overall, the CREST-iMAP delivers accurate and timely flood information, making it one of the latest developments of an integrated hydrologic-hydraulic expert system.

在水文极端事件的影响下，对洪水泛滥测绘的综合框架的需求日益增长。在这项研究中，我们介绍了一个框架：用于淹没MApping和预测的耦合路由和多余存储（CREST-iMAP）。它利用高度并行化和完全集成的水文-水力模型，旨在改善洪水预报。为了突出优势，与水文模型，水力模型和简化的水文-水力模型相比，使用CREST-iMAP对合成降雨事件和500年飓风哈维事件进行了研究。结果表明，CREST-iMAP在水文模拟和洪泛区淹没制图方面均表现良好。此外，土壤湿度是模型精度最敏感的参数，其次是地表特征；洪水预报模型的渗透过程非常重要。总体而言，CREST-iMAP可提供准确及时的洪水信息，使其成为集成水文液压专家系统的最新发展之一。