Department of Civil and Environmental Engineering, University of Iowa, Iowa City, IA, USA; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA, USA.
Department of Civil and Environmental Engineering, University of Iowa, Iowa City, IA, USA; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA, USA.
Sci Total Environ. 2022 Jul 1;828:154420. doi: 10.1016/j.scitotenv.2022.154420. Epub 2022 Mar 9.
It is critical to obtain accurate flood extent predictions in a timely manner in order to reduce flood-related casualties and economic losses from floods with greater magnitudes and fall outside the handling capacity of our existing mitigation systems. Running a real-time flood inundation mapping model is helpful in supporting quick response decisions for unplanned floods, such as how to distribute limited resources and labor so that the most flood-prone areas receive adequate mitigation efforts and how to execute evacuations that keep people safe while causing the least amount of unneeded disruption. Most inundation systems, on the other hand, are either overly demanding in terms of data and computing power or have limited interaction and customization with various input and model configurations. This paper describes a client-side web-based real-time inundation mapping system based on the Height Above the Nearest Drainage (HAND) model. The system includes tools for hydro-conditioning terrain data, modifying terrain data, custom inundation mapping, online model performance evaluation, and hydro-spatial analyses. Instead of only being able to work on a few preprocessed datasets, the system is ready to run in any region of the world with limited data needs (i.e., elevation). With the system's multi-depth inundation mapping approach, we can use water depth measurements (sensor-based or crowdsourced) or model predictions to generate more accurate flood inundation maps based on current or future conditions. All of the system's functions can be performed entirely through a client-side web browser, without the need for GIS software or server-side computing. For decision-makers and the general public with limited technical backgrounds, the system provides a one-stop, easy-to-use flood inundation modeling and analysis tool.
为了减少因超出现有减灾系统处理能力的洪灾而导致的人员伤亡和经济损失,及时准确地获取洪水范围的预测结果至关重要。运行实时洪水淹没制图模型有助于支持对突发洪水的快速响应决策,例如如何分配有限的资源和劳动力,以便将最易受洪水影响的地区得到充分的减灾措施,以及如何执行疏散行动,在确保人员安全的同时,将不必要的干扰降到最低。另一方面,大多数淹没系统要么对数据和计算能力要求过高,要么与各种输入和模型配置的交互和定制有限。本文介绍了一种基于最近排水高程(HAND)模型的客户端 Web 实时淹没制图系统。该系统包括用于水力条件地形数据、修改地形数据、定制淹没制图、在线模型性能评估和水文学空间分析的工具。该系统不再只能在少数预处理数据集上运行,而是可以在世界任何地区运行,只需有限的数据需求(即高程)。通过系统的多水深淹没制图方法,我们可以使用水深测量值(基于传感器或众包)或模型预测值,根据当前或未来的条件生成更准确的洪水淹没图。系统的所有功能都可以完全通过客户端 Web 浏览器执行,无需 GIS 软件或服务器端计算。对于技术背景有限的决策者和公众,该系统提供了一个一站式、易于使用的洪水淹没建模和分析工具。