Imagine using plants and natural landscapes as a shield to protect roads and power lines from extreme weather instead of just building bigger concrete walls. This project creates a digital tool that helps engineers pick the best natural defenses based on future climate maps. It's like having a smart guidebook that tells you exactly where to plant trees or restore wetlands to keep your assets safe.
Infrastructure owners currently react to climate damage after it happens, which is costly and disruptive. There is a lack of validated, digitally-simulated natural alternatives to traditional concrete engineering.
A digital decision support platform featuring climate projections, asset exposure mapping, and a catalogue of nature-based solutions with simulation software.
If you are a power grid operator dealing with storm-related outages — this project developed a digital decision support platform that optimizes natural defenses to protect energy assets. This reduces the need for reactive repairs by designing resilience into the landscape.
If you are a railway manager dealing with landslides or flooding — this project developed a validated catalogue of nature-based solutions. It allows you to implement tested natural barriers across 5 initial sites and 4 additional replicator sites.
If you are a consultancy dealing with outdated climate risk models — this project developed a simulation software tool that integrates climate projections with asset exposure. This allows you to offer clients proactively designed, climate-resilient systems.
Based on available project data, specific pricing or cost structures for the software are not mentioned.
The project validates methodology at 5 sites in the Alpine region and then scales them as replicators in 4 or more additional sites across various regions.
Based on available project data, specific IP and licensing terms are not provided, though the project focuses on exploitation pathways and guidelines.
It integrates via a digital decision support platform that combines climate projections, asset exposure data, and simulation software.
The project runs from May 1, 2024, to April 30, 2028, moving from creation to validation and scaling.
The consortium is heavily weighted toward research and academia, with 9 universities and 4 research institutes. However, it maintains a practical edge with 3 industry partners and 7 other organizations across 13 countries, ensuring that the digital tools are tested across diverse European geographies, particularly in the Alpine region.
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