Early warning systems in Fiji are essential to reduce flood risks and protect vulnerable communities. In Ba Town, WaveSave supports the implementation of an early warning system to improve real-time monitoring, enable faster response, and strengthen climate resilience.
Ba Town, a commercial hub in Fiji, faces escalating flood risks due to climate change-induced extreme weather events. The Ba River basin’s frequent flooding threatens critical infrastructure, disrupts market operations, and endangers local communities. Traditional flood management approaches lack the predictive capabilities and precision needed to mitigate increasingly severe and unpredictable flood events, necessitating advanced data-driven solutions for effective flood forecasting and warning systems.
Implement WaveSave’s comprehensive flood intelligence platform to enhance Ba Town’s flood resilience through advanced hydrodynamic modeling, real-time monitoring, AI-powered predictive analytics, and optimized emergency response planning.
This early warning system Fiji project focuses on improving flood detection and response times. WaveSave delivered an integrated flood management system featuring four key components:
Unlike standalone monitoring systems, WaveSave combines real-time data collection with actionable alert systems, ensuring that insights translate directly into timely responses and improved flood protection.
Primary client is Ministry of Waterways in Fiji with financial support by the Government of the Netherlands.
Location: Ba Town, Fiji
Timeline: 2023 – 2024
Implementing early warning systems in Fiji enables faster response, reduced risk, and improved protection for communities.
The system aligns with global best practices in disaster risk reduction and early warning, as promoted by organizations such as UNDRR, WMO, and the World Bank.
Flooding in regions such as Fiji is becoming more frequent and unpredictable due to climate change. Early warning systems provide critical time for communities and authorities to prepare and respond effectively.
By combining real-time monitoring with automated alerts, early warning systems reduce response time and improve decision-making during flood events. This helps minimise damage, protect lives, and strengthen overall resilience.
For governments and disaster risk agencies, early warning systems are a key component of proactive and data-driven flood management strategies.
SLAMDAM is a mobile flood barrier designed to provide rapid and effective flood protection. Unlike traditional flood defenses, SLAMDAM can be deployed quickly.
Deployed 200 m of SLAMDAM in less than 2 hours to prevent glacier-melt flooding.
Local teams were trained in deploying and managing SLAMDAM and the early warning system.
Enhanced early flood warning with integrated monitoring and communication tools.
Reduced flood damage to homes and protected 250 hectares of farmland.
Enhanced early flood warning with integrated monitoring and communication tools.
Increased long-term flood resilience through community empowerment and scalable technology
What our clients say
The SLAMDAM project has successfully demonstrated how innovative flood barriers can protect vulnerable areas in Gilgit-Baltistan, offering a sustainable solution for flood management..
Head of Water Resources & Glaciology, Islamabad,
Pakistan
SLAMDAM has transformed our community’s resilience to floods. With the technology and training, we now feel empowered to protect our homes and livelihoods.
Community Leader Passu Community
The SLAMDAM project has successfully demonstrated how innovative flood barriers can protect vulnerable areas in Gilgit-Baltistan, offering a sustainable solution for flood management..
Head of Water Resources & Glaciology, Islamabad,
Pakistan
