The result “Fiber optics monitoring system
for flood barriers
” describes a fibre-optic, distributed sensor system for the continuous monitoring of flood protection infrastructure, such as levees and movable barriers, which measures temperature, moisture dynamics and structural strains with high spatial resolution in order to detect anomalies and risks at an early stage, ensure stability and support data-driven decisions regarding operation, maintenance and resilience.

The tool addresses the need for advanced, continuous monitoring of longitudinal flood defence infrastructure under increasing climate-related pressures, including extreme rainfall, drought, and fluctuating hydraulic loads. Conventional monitoring approaches rely on sparse in-point sensors and periodic inspections, which do not provide sufficient spatial coverage or frequency to detect localized deterioration or early failure mechanisms. The developed fiber optic–based system enables distributed monitoring of temperature, moisture dynamics, and structural strain, allowing early identification of abnormal conditions that may compromise stability of the flood defence system in place. By improving observability of large and heterogeneous assets such as levees and movable barriers, the tool supports risk reduction, enhanced preparedness, and data-driven decision-making. Ultimately, it contributes to increasing the resilience and operational reliability of flood defence infrastructure through early warning capabilities and improved understanding of structural behaviour.

The tool is a distributed fiber optic sensing system integrating sensing cables, interrogation units, and numerical modelling support. Fiber optic cables are installed within levees or attached to movable barriers using dedicated clamping systems. The system applies distributed sensing technologies (e.g., DTS and DSS based on BOFDA) to capture spatially continuous measurements of temperature that result in moisture-related behaviour, and structural strain. Its scope covers both hydro-geotechnical monitoring and structural performance assessment of flood protection assets. Key functionalities include continuous data acquisition, high spatial resolution measurements, calibration procedures, signal processing, and comparison with finite element model outputs for interpretation. The tool provides near real-time insight into asset behaviour, enabling detection of early warning indicators and supporting operational management, maintenance planning, and resilience assessment within the MULTICLIMACT framework.

At present, the tool is primarily implemented within the MULTICLIMACT project context and validated through laboratory and pilot-scale demonstrations. It is not yet broadly accessible as a standardized operational product, as deployment currently requires specialized hardware and technical expertise. To improve accessibility, future steps include developing standardized installation protocols, modular deployment packages, user-oriented data visualization interfaces, and training materials for end users. Integration with digital monitoring platforms and service-based delivery models may further facilitate adoption by infrastructure operators. Demonstrator activities will contribute to validating operational workflows and reducing barriers to implementation. These actions aim to enable wider uptake by public authorities and infrastructure managers beyond the project scope.

The primary user group comprises flood defence operators and infrastructure managers, including water authorities responsible for levees and movable barriers. Secondary users include geotechnical and structural engineers involved in asset assessment, maintenance planning, and risk analysis. Emergency management teams may also benefit from real-time monitoring outputs during extreme events. Within MULTICLIMACT, waterboards and technical stakeholders have contributed to defining operational requirements, ensuring alignment with real-world needs. Additional users include researchers and innovation stakeholders working on climate resilience and smart infrastructure monitoring. Overall, the tool targets professional users requiring reliable, spatially distributed monitoring data to support proactive asset management and risk-informed decision-making.

The tool contributes by enabling continuous, spatially distributed monitoring of key parameters governing flood defence performance. This allows early detection of moisture changes, thermal anomalies, and structural strain, which are critical precursors of instability or failure. The system enhances situational awareness during extreme events and supports a transition from reactive inspections toward predictive and risk-based maintenance strategies. Integration with numerical models improves interpretation of internal processes and strengthens confidence in decision-making. As a result, infrastructure managers can optimize maintenance interventions, reduce operational risks, and improve long-term resilience. The tool therefore directly supports safer, more efficient, and data-driven management of flood protection infrastructure.

The tool has been validated through controlled laboratory and living-lab experiments at Flood Proof Holland, as well as field deployment activities on existing levees infrastructure. Both demos for levees and movable barriers have already been tested successfully with the levee demo still ongoing so that the whole hydrological cycle can be analyzed later. Testing included hydraulic loading scenarios, strain calibration, and comparison with conventional sensors such as moisture probes, inclinometers, and thermal cameras. Results demonstrate the system’s capability to capture relevant distributed temperature, moisture, and strain variations with sufficient accuracy for monitoring purposes. Feedback from potential users, including Dutch water authorities, has informed system design, installation approaches, and operational requirements. Future testing within MULTICLIMACT demonstrator sites will focus on large-scale implementation, long-term performance assessment, and validation under real operational conditions.