Automation of flood risk modeling in headwaters through Artificial Intelligence and Big Data techniques.
INUNDATIO offers a model of a management system for flash floods in headwaters based on its hydromorphological characterization, the continuous collection of hydrometeorological data (rainfall + flow), the comparison with historical data, the simulation of risk scenarios and the analysis of vulnerability for human life and material elements.
The project aims to support administrations in improving the management of flash flood risks in the headwaters of river basins by preventing, predicting and protecting against the event and increasing resilience capacity to reduce the impact on human lives and heritage assets.
The scope of the project focuses on very violent and sudden emergencies, localized in territories with specific and common characteristics in the Sudoe, with real danger for precious assets. It is necessary to better understand these rapid and damaging processes so that the competent administrations can deal with more recurrent situations due to climate change.
To this end, the project will generate a replicable and scalable model for the entire Sudoe territory for managing flash flood risks in headwaters.
It seeks to update the available tools by incorporating technological advances from a cross-sectoral perspective, reducing the costs of deploying decision support tools, and increasing anticipation and speed of response.
The project will involve the exposed population in the design of the model that will include:
– Geomorphological and hydrological representation method of the headwaters supported by GIS tools.
– Flood prevention plans adapted to climate change.
– Risk analysis tool through real-time data collection with a network of sensors and transmitters, as well as the integration of historical data.
– Flood scenario projection tool with impact assessment.
– Flood protection plans.
– Reconstruction plans updated to historical building restoration techniques.
– Recommendations to increase resilience.
– Social participation plans and communication plans.
- To develop innovative methodologies for hydrological analysis in headwaters and data collection: The multidisciplinary integration of scientific knowledge with technological support tools will help the development of predictive and preventive disaster models and support administrations in decision making. The aim is to share knowledge and capitalize on technological advances to apply them to territories exposed to relevant risks that will increase with climate change. These headwaters, where the risk of flash floods is very likely, are very abundant in the Sudoe territory because of its mountainous character. The basis is laid for pre-warning systems which will use risk weighting models and the projection of eventual scenarios. A comparison will be made with systems installed in the headwaters of a mountain basin to evaluate the stability of the system as well as the accuracy and reliability of the data.
- Development of the data analysis method: A decision support system will be created based on the management and analysis of data arriving in real time plus existing data from previous events. Prediction algorithms and realistic and simple modeling methods will be developed. Automation of data capture and analysis processes is sought as a way to lower surveillance costs. But a purely autonomous system is not to be created, but will use human supervision when pre-alerts make it advisable. The final alert will be launched by the system supervisor.
- Development of action protocols. Transfer of acquired knowledge: action protocols on natural spaces, rural and urban areas, exposed cultural heritage. The multidisciplinary and integral approach will be reflected in the development of strategies for prediction, prevention, management of damaging events and recovery actions. Common procedures will make it possible to minimize the effects of flooding by reducing the time required to bring damaged elements back into use. Social participation, through plans to involve stakeholders, is key to the implementation of the plans.
Duration time: 2020 – 2022
- Fundación Santa María la Real del Patrimonio Histórico – FSMLRPH, Spain (Project Coordinator)
- Centre d’Etudes et d’Expertise sur les Risques, l’Environnement, la Mobilité et l’Aménagement – CEREMA, France
- Laboratório Nacional de Engenharia Civil, I. P. – LNEC, Portugal
- UNIVERSITY OF CASTILLA LA MANCHA – UCLM, Spain
- Agrupación Empresarial Innovadora para la Construcción Eficiente – AEICE, Spain
- INSTITUTO TECNOLÓGICO DE CASTILLA Y LEÓN – ITCL, Spain
Project co-financed by the Interreg Sudoe Program through the European Regional Development Fund (ERDF).
Budget: 1.427.000 € of which 1.070.250 € has been co-financed by the European Commission.