This paper presents GeoFlood, a new open-source software package for solving shallow water equations (SWE) on a quadtree hierarchy of mapped, logically Cartesian grids managed by the parallel, adaptive library ForestClaw (Calhoun and Burstedde, 2017). The GeoFlood model is validated using standard benchmark tests from Neelz and Pender (2013) and against George (2011) results obtained from the GeoClaw software (Clawpack Development Team, 2020) for the historical Malpasset dam failure problem. The benchmark test results are compared against GeoClaw and software package HEC-RAS (Hydraulic Engineering Center - River Analysis System, Army Corp of Engineers) results (Brunner, 2018). This comparison demonstrates the capability of GeoFlood to accurately and efficiently predict flood wave propagation on complex terrain. The results from comparisons with the Malpasset dam break show good agreement with the GeoClaw results and are consistent with the historical records of the event.

翻译：本文介绍GeoFlood，这是一个用于在由并行自适应库ForestClaw（Calhoun与Burstedde，2017）管理的映射逻辑笛卡尔网格四叉树层次结构上求解浅水方程（SWE）的新型开源软件包。该模型通过Neelz与Pender（2013）的标准基准测试，并针对历史Malpasset溃坝问题与GeoClaw软件（Clawpack开发团队，2020）获得的George（2011）结果进行验证。基准测试结果与GeoClaw及水利工程中心河流分析系统软件包HEC-RAS（美国陆军工程师兵团，Brunner，2018）的结果进行对比。比较表明GeoFlood能够准确高效地预测复杂地形上的洪水波传播。Malpasset溃坝案例的对比结果与GeoClaw计算结果高度吻合，且与事件历史记录一致。