On 7 October, Alix Roumagnac was the guest on TF1‘s news programme to talk about Predict Services’ role in helping local authorities prepare for hydro-meteorological events.
To read the full article on TF1, click here.
On Wednesday October 2, Predict took part in the “Salon Horizon Climatique”, a first-of-its-kind event organized by the Var Chamber of Commerce and Industry and the Métropole Toulon Provence Méditerranée.
The one-day event gave visitors the opportunity to discuss the vulnerability of businesses to risk, and how warning and decision-support systems can help them to better prepare for these increasingly risky phenomena.
On Friday 30 August 2024, Alix Roumagnac took part in the annual presentation on rainfall and flood risk management.
The event provided an opportunity to remind the region’s residents of the risks they face in the event of flooding, and the steps they should take in the event of danger.
To read the full article, click here.
Climate change and intensive urbanisation have increased the risk of flooding, posing unprecedented challenges for municipalities. AI4FLOOD was born out of the urgent need to develop proactive responses, combining cutting-edge technology and citizen participation to improve prevention and response capacity in the face of these natural disasters. An innovation and cross-border collaboration project for the prevention, protection and preparation for flood-related emergencies.
AI4FLOOD is an innovative project that uses artificial intelligence to anticipate floods, providing communities with advanced tools for early detection and effective management of flood risk. This cross-border project combines efforts between Nouvelle-Aquitaine, Navarre and Gipuzkoa to create safer and more resilient communities, uniting entities and businesses from all three regions.
This project has been 65% co-financed by the European Union through the Interreg VI-A Spain-France-Andorra programme (POCTEFA 2021-2027) and will run for 4 years. The aim of the POCTEFA is to strengthen the economic and social integration of the Spain-France-Andorra border area.
On the occasion of the National Resilience Day, in line with the United Nations (UN) International Day for Disaster Risk Reduction, Predict worked alongside local authorities to help improve the resilience of territories and their inhabitants by reminding them of the right behaviours to adopt in the face of major risks :
On 13 and 14 October at Ciboure in the Pyrénées Atlantiques, Predict took part in the O! days. These days were an opportunity to improve the risk culture of the general public and to remind them of the right behaviours to adopt.
In Frontignan, Predict was present to take part in the tsunami crisis simulation exercise. This exercise enabled the Hérault prefecture to test the distribution of the FR-ALERT message to the various players.
In the evening, at Saint-Clément de Rivière in Hérault, Predict took part in a public awareness event on major risks.
Predict engineers were also present at the Ain, Aisne and Allier mayors’ fairs on 13 October and at the Isère mayors’ fair on 14 October.
The French Ministry of Ecology and Energy, with the support of the French Ministry of the Interior and Overseas Departments and Territories, has launched the 8th annual Rain-Flood campaign for the Mediterranean region, an area particularly exposed to intense rainfall and flooding.
To help you cope with these dangerous phenomena, we invite you to read the instructions for protecting yourself, your loved ones and your property at “pluie-inondation.gouv.fr”
Let’s be prepared for major risks!
© The French Ministry of Ecology and Energy
Invited by CNES (Centre National d’Etude Spatial) to the Spatial Climate Observatory Congress on May 30, 2023 at Bercy, Predict presented the Gade Lapli project. This project provides indicators and services using satellite data to estimate rainfall and flood areas. Tested on the highly vulnerable territory of Haiti, the operational objective (warning, crisis management) also serves to understand climate change by identifying and characterizing extreme events.