The project WaMA-WaDiT: Water Management and Adaption based on Watershed Digital Twins was financed in the Water4All call and therefore, we will be able to start a new exciting adventure with some challenge.
This proposal aims to understand the impact of extreme climate events such as droughts and floods on water management systems, with the goal of developing optimized management strategies that maximize water security under both current and future climate change conditions. The knowledge gained will be used to create a watershed digital twin framework, applicable to various watersheds with different water-related issues. A guide will be published detailing the process of building digital twins for specific watersheds and problems.
The proposal that you can find in its complete form by clicking on the above logo, pursues three main objectives: the scientific, the practical, and the product objectives. The scientific objective focuses on improving our understanding of how drought and floods affect water management systems, and how optimal strategies can mitigate these effects. This involves several sub-objectives, such as determining the best databases for modeling water management problems, analyzing systematic errors in climate and hydrologic predictions, improving the inclusion of groundwater dynamics models, incorporating complex snow dynamics, assessing the effect of long-term forecasts of extreme events on reservoir management, and improving the parameterization of single hydrological processes.
The practical objective is to create a methodology that systematizes the proposal and assessment of adaptation measures in reservoirs. This methodology will provide a clear guide on how to develop decision frameworks based on the most robust numerical models or digital twins of the watershed. It will also tackle how to manage hydroclimatic extremes like floods and droughts, emphasizing dynamic management of safety margins to maximize water availability and ways to reduce the impact of persistent droughts.
The product objective is to implement this methodology in a free, open-source software tool that simplifies the use of scientific knowledge for decision-makers and reservoir managers. This tool aims to be robust and scalable, providing a first-order approximation to any problem. It will encourage end-users to adopt optimal tools for their needs by demonstrating the power
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