<div> <p><span>Mozambique is one of the countries in Africa most frequently and most seriously affected by natural disasters such as floods, cyclones and droughts.&#160;In&#160;March&#160;2019 the Cyclone&#160;Idai, one of the Southern Hemisphere&#8217;s deadliest storms, made landfall in the central part of the country, affecting about 1.7 million citizens, with&#160;devastating&#160;flooding in the central part of the country, especially in the Buzi and Pungwe river basins.&#160;Despite the existence of several studies aimed at the hydrological characterization of the area, the unexpected severity of the event&#160;undermined the&#160;local EW/EA system.</span></p> <p><span>In the framework of the ECHO funded project &#8220;</span><em><span>Building inclusive resilient communities and schools to face rapid-onset hazards in risk-prone areas in Mozambique affected by cyclone&#160;Idai, linking early warning to early action</span></em><span>&#8221;,&#160;an operational flood forecasting system,&#160;up to&#160;real-time inundation mapping,&#160;have been implemented for the Buzi watershed&#160;(30&#8217;000 km</span><span>2</span><span>, in&#160;Manica&#160;and&#160;Sofala&#160;Provinces),&#160;with the aim of increasing the&#160;preparedness and response capacity to rapid onset disasters of the local and national levels of the EW/EA systems.&#160;For granting the sustainability and the maintenance of the tool, the operational chain has been implemented in co-operation with the local authorities&#160;(DNGRH)&#160;and is based on the use of open-source free&#160;software and models.</span></p> <p><span>A preliminary collection of the available data has been carried out for the setup and the calibration of the&#160;CONTINUUM&#160;hydrological fully distributed model (Silvestro, 2013). Several existing studies have been considered for the development of the land data and the collection of hydrological measurements for calibration.&#160;Furthermore, the&#160;outdated&#160;level-discharge rating curves available have been reviewed and updated&#160;using an innovative approach&#160;(BayDERS,&#160;Darienzo&#160;2021).</span></p> <p><span>Stemming from the output of a long-term hydrological simulation&#160;fed with meteorological reanalysis&#160;conditioned with local rainfall data,&#160;dynamic flood scenarios have been developed&#160;for the&#160;Dombe&#160;flood prone community&#160;by setting up&#160;a&#160;hydraulic model with the Telemac-2D&#160;open system&#160;using&#160;the&#160;Copernicus&#160;DSM&#160;at&#160;30&#160;m resolution&#160;as&#160;topographical input.&#160;Outcomes&#160;obtained&#160;by simulating the&#160;Idai&#160;2019 flood&#160;has been compared&#160;with satellite images,&#160;demonstrating&#160;good agreement and&#160;reliability of the implemented model.&#160;Modelled flood maps have been shared&#160;and commented&#160;with the local community&#160;in&#160;Dombe,&#160;with the dual objective of receiving feedback&#160;on&#160;map reliability and&#160;increasing&#160;flood risk&#160;awareness.</span></p> <p><span>The full&#160;flood forecasting&#160;chain&#160;for the Buzi watershed&#160;has been then operationally implemented by means of the&#160;FloodPROOFS&#160;open-source&#160;modelling system (</span><span>https://github.com/c-hydro</span><span>),&#160;fed&#160;twice&#160;per day&#160;by&#160;deterministic&#160;and probabilistic&#160;forecasts&#160;freely provided by NOAA (GFS and GEFS).&#160;Operational forecasts&#160;are made available to DNGRH officers through the&#160;myDEWETRA.world&#160;EW platform,&#160;informing&#160;on&#160;potential flood&#160;events&#160;expected for the following 5 days,&#160;including&#160;their probability of occurrence,&#160;thus&#160;facilitating&#160;decision&#160;making&#160;in&#160;issuing early warnings and&#160;taking&#160;early action measures.</span></p> <p><span>Finally, for the&#160;Dombe&#160;pilot-case&#160;the&#160;flood depth and water velocity maps are combined with the spatial distribution of the exposed assets, identified in collaboration with the&#160;community itself,&#160;resulting in&#160;real-time forecasts of the expected impacts.</span><span>&#160;</span></p> </div>
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