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首页> 外文期刊>Journal of the American Water Resources Association >A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping
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A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping

机译：用于高分辨率大陆规模洪水淹没制图的Cyber​​GIS集成和计算框架

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摘要

We present a Digital Elevation Model-based hydrologic analysis methodology for continental flood inundation mapping (CFIM), implemented as a cyberGIS scientific workflow in which a 1/3rd arc-second (10m) height above nearest drainage (HAND) raster data for the conterminous United States (CONUS) was computed and employed for subsequent inundation mapping. A cyberGIS framework was developed to enable spatiotemporal integration and scalable computing of the entire inundation mapping process on a hybrid supercomputing architecture. The first 1/3rd arc-second CONUS HAND raster dataset was computed in 1.5days on the cyberGIS Resourcing Open Geospatial Education and Research supercomputer. The inundation mapping process developed in our exploratory study couples HAND with National Water Model forecast data to enable near real-time inundation forecasts for CONUS. The computational performance of HAND and the inundation mapping process were profiled to gain insights into the computational characteristics in high-performance parallel computing scenarios. The establishment of the CFIM computational framework has broad and significant research implications that may lead to further development and improvement of flood inundation mapping methodologies.
机译：我们为大陆洪水淹没制图（CFIM）提供了一种基于数字高程模型的水文分析方法，该方法以Cyber​​GIS科学工作流程的形式实现，在该工作流程中，最近的排水（HAND）栅格数据之上的第1/3弧秒（10m）高计算了美国（CONUS），并将其用于后续的淹没映射。开发了cyberGIS框架，以在混合超级计算体系结构上实现整个淹没映射过程的时空集成和可伸缩计算。第一个1/3弧秒CONUS HAND栅格数据集是在1.5天之内在cyberGIS Resource Open Geospatial Education and Research超级计算机上计算的。在我们的探索性研究中开发的淹没制图过程将HAND与国家水模型预测数据结合在一起，可以对CONUS进行近实时的淹没预报。分析了HAND的计算性能和淹没映射过程，以深入了解高性能并行计算方案中的计算特性。 CFIM计算框架的建立具有广泛而重要的研究意义，可能会导致洪水淹没制图方法的进一步发展和改进。

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