DataBeach
Soft coastal protection measures such as dune, beach or foreshore replenishments present specific challenges in terms of design and maintenance for governments, engineering firms, dredgers and the insurance industry.
The DataBeach project aims to develop groundbreaking new measuring technology, machine learning models and probabilistic calculation methods for a disruptive progress in the design of soft sea walls. This will be achieved by, among other things:
- developing Distributed Temperature Sensing (DTS) to monitor sand volume;
- installing a CoastSnap station to identify beach conditions (waterline location) on a time scale of weeks to months, based on citizen science;
- developing a new coastal morphology model based on machine learning;
- translating probabilistic morphological calculations into a dataset that meets the needs of the insurance sector and developing an adequate insurance solution;
The DataBeach projects allows for more sustainable and efficient coastal management of soft sandy sea walls, and the development of a quantitative basis for (re)insurance solutions for storm-related sand losses.
Partners: IMDC, Fluves, DEME and Vanbreda Risk & Benefits
With the support of: VLAIO (Flanders Innovation & Entrepreneurship)
Contact: Kristien Veys
