L. Alfieri, A. Libertino, Lorenzo Campo, F. Dottori, S. Gabellani, T. Ghizzoni, A. Masoero, L. Rossi, R. Rudari, Nicola Testa, E. Trasforini, Ahmed Amdihun, Jully O Ouma, Luca Rossi, Y. Tramblay, Huan Wu, Marco Massabò
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引用次数: 0
摘要
摘要非洲每年都会遭受特大洪水的袭击,再加上高度的脆弱性和不断增加的人口风险,往往会导致人道主义危机和人口流离失所。以影响为基础的自然灾害预报和预警被认为是减少灾害风险的一个进步,这要归功于它对面临风险的人、生计和资产的关注。然而,非洲大部分人口并没有被任何预警系统所覆盖。本文介绍了 Flood-PROOFS East Africa(东非洪水预报和预警系统)的设置和方法,这是一个基于影响的大非洲之角(GHA)河流洪水预报和预警系统,预报范围为 5 d。该系统基于一个建模级联,依赖于由集合天气预报强制进行的分布式水文模拟,与特定回归期的淹没地图相连接,并应用风险评估框架来估计面临即将到来的洪水的人口和资产。该系统已投入运行,并支持非洲联盟委员会和政府间发展管理局(IGAD)灾害行动中心对非洲东部的水文气象灾害进行日常监测和预警。结果显示,对 78 个河流测量站的水文再分析进行了首次评估,并对 2020 年夏季苏丹和尼罗河流域灾难性洪水的影响预测进行了半定量评估。预计将对系统性能进行更广泛的定量评估,以便为用户提供有关极端事件及其影响预报模型可靠性的信息。
Impact-based flood forecasting in the Greater Horn of Africa
Abstract. Every year Africa is hit by extreme floods which, combined with high levels of vulnerability and increasing population exposure, often result in humanitarian crises and population displacement. Impact-based forecasting and early warning for natural hazards is recognized as a step forward in disaster risk reduction, thanks to its focus on people, livelihoods, and assets at risk. Yet, the majority of the African population is not covered by any sort of early warning system. This article describes the setup and the methodological approach of Flood-PROOFS East Africa, an impact-based riverine flood forecasting and early warning system for the Greater Horn of Africa (GHA), with a forecast range of 5 d. The system is based on a modeling cascade relying on distributed hydrological simulations forced by ensemble weather forecasts, link to inundation maps for specific return period, and application of a risk assessment framework to estimate population and assets exposed to upcoming floods. The system is operational and supports the African Union Commission and the Disaster Operation Center of the Intergovernmental Authority on Development (IGAD) in the daily monitoring and early warning from hydro-meteorological disasters in eastern Africa. Results show a first evaluation of the hydrological reanalysis at 78 river gauging stations and a semi-quantitative assessment of the impact forecasts for the catastrophic floods in Sudan and in the Nile River basin in summer 2020. More extensive quantitative evaluation of the system performance is envisaged to provide its users with information on the model reliability in forecasting extreme events and their impacts.