Integrating Machine Learning, Groundwater Modelling and Robust Decision Making for Adaptive Water Management
BnA IQ- Research
Mauritius appears water-secure on paper. In practice, it is operating on a knife-edge.
Recurring droughts, rationing, stressed aquifers and ageing infrastructure reveal a water system that is finely balanced rather than resilient. Climate volatility, rising demand and fiscal constraints mean that traditional, deterministic water master plans are no longer sufficient.
This new Bramston IQ research report sets out a fundamentally different approach. Rather than optimising a single forecast, it shows how Mauritius can secure reliable and affordable water services across many plausible futures by combining machine learning, groundwater modelling, and Robust Decision Making (RDM)—a framework now used internationally to manage infrastructure under deep uncertainty.
The study draws on Mauritian hydrological and groundwater data, existing MODFLOW-type aquifer models, and emerging applications of AI in water forecasting. It demonstrates why non-revenue water reduction, intelligent aquifer management, and flexible, staged investments outperform large, rigid projects in most futures—often at lower long-run cost and risk.
Written for senior policymakers, regulators, utility executives and development partners, the report provides both a strategic lens and a practical roadmap for the next generation of water-sector decisions in Mauritius.
👉 Download the full report to access the analysis, framework and policy recommendations shaping the future of water security in Mauritius.
