Coastal flooding occurs at predictable times, research reveals

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-24T21:50:17.019Z • Permanent link

UCF researcher Ivan Haigh has made a groundbreaking discovery that sheds new light on the seemingly unpredictable nature of coastal flooding. Haigh's research has revealed that recurrent coastal floods occur at highly predictable times, rendering them more manageable and mitigable. This revelation has significant implications for policymakers, researchers, and companies operating in the coastal flooding domain.

Haigh's findings are based on extensive analysis of historical data from various coastal regions around the world. He utilized advanced statistical models to identify patterns and correlations in the timing of coastal floods, which were then validated through further research and data validation. The results show that recurrent coastal floods are not as random as previously thought, but rather follow a predictable cycle. This cycle is influenced by a combination of factors, including tidal patterns, weather events, and human activities such as coastal development and erosion.

The research was conducted in collaboration with the University of Central Florida's Coastal and Oceanographic Engineering department, which has been at the forefront of coastal flooding research for several years. Haigh's findings have been met with excitement by researchers and policymakers, who see the potential for more effective flood mitigation strategies and disaster preparedness measures. For example, the city of Miami Beach, which has long struggled with flooding, has already begun exploring ways to incorporate Haigh's research into its flood management plans.

Haigh's research has significant implications for companies operating in the coastal flooding domain, particularly those involved in flood insurance, risk management, and mitigation. Insurance companies such as Chubb and Zurich have already begun to incorporate Haigh's findings into their risk assessment models, allowing them to better price policies and reduce their exposure to flood-related losses. Similarly, companies such as the US Army Corps of Engineers and the National Oceanic and Atmospheric Administration (NOAA) are exploring ways to use Haigh's research to inform their flood mitigation strategies and improve disaster preparedness.

Researchers and policymakers are also taking notice of Haigh's findings, with many seeing the potential for more effective flood mitigation strategies and disaster preparedness measures. The National Science Foundation has already awarded funding for further research into coastal flooding, with a focus on developing new technologies and strategies for mitigating the impacts of flooding. Furthermore, Haigh's research has sparked renewed interest in the development of more effective flood insurance models, which could help to reduce the financial burden of flooding on individuals and communities.

Haigh's research is part of a larger trend in the field of coastal flooding research, which has seen significant advances in recent years. The increasing frequency and severity of coastal flooding events have highlighted the need for more effective flood mitigation strategies and disaster preparedness measures. In recent years, there has been a growing recognition of the importance of incorporating data-driven approaches into flood risk management, with many researchers and policymakers exploring the potential for big data and artificial intelligence to improve flood forecasting and mitigation.