Research project

Next-generation Forecasting of Hazards Offshore from River Deltas

Project overview

The overarching aim of this project is to better understand the processes that trigger submarine avalanches of sediment, known as turbidity currents, offshore from river mouths. By analysing triggering mechanisms, we aim to build a model that can forecast turbidity current activity, and be applied to river deltas globally. These sediment flows can be exceptionally powerful (velocities of up to 20 m/s) and travel for long (100s km) distances. Therefore, turbidity currents pose a significant hazard to seafloor infrastructure such as oil and gas pipelines and telecommunication cables. We have never been more reliant on the internet in the current world of lockdowns and remote working. Even weaker flows travelling at speeds of ~1-2 m/s can severely damage seafloor equipment making hazard mitigation be re-routing challenging and very expensive ($millions per km). Improving our understanding of the frequency and timing of flows is therefore critical to asses where these extra costs are a necessity.

The destructive nature of turbidity currents means there are very few sites where a significant number of flows have been directly measured. Therefore, the mechanisms that result in flow triggering still remain poorly understood. Recent monitoring has made advances using instruments moored along flow paths to precisely measure turbidity current timing to compare with potential triggers. Analysis in remote fjord-delta settings in British Columbia, Canada, have shown turbidity currents preferentially occur at low tide during periods of elevated river discharge. Novel multivariate statistical methods (i.e. analysing the combined effect of multiple variables) have quantified the relative role of river discharge and water level. Using this relationship, it has been possible to successfully predict almost 90% of turbidity current activity. However, this analysis is based on data acquired over relatively short-time periods (months), and therefore may miss longer (seasonal-yearly) cycles of flow activity. It is also unknown how the relative roles of river discharge and water level vary when upscaled and applied to major rivers where underwater events pose a much greater hazard to coastal communities and critical seafloor infrastructure.

The project will use longer-term monitoring datasets that have been made possible by the pioneering Canadian Government-funded Victoria Experimental Network Under the Sea (VENUS) cabled observatory, which has been recording unusually detailed data offshore the Fraser River Delta, British Columbia, since 2008. Using this dataset combined with previous direct measurements of turbidity currents the project aims are to:

(1) Understand how the roles of discharge and tide for turbidity current triggering vary at different scale river systems.

(2) Develop a predictive model for turbidity current occurrence that could be applied to river delta systems globally.

(3) Understand the potential effects of climate change on the frequency and timing of turbidity currents.

The results will benefit future geohazard assessments for seafloor infrastructure including oil and gas pipelines, and telecommunication cables. The development of a turbidity current forecasting model will help us understand the frequency and timing of flows and the risk to seafloor infrastructure. Such forecasting can also contribute to future planning of cable or pipeline routing

Staff

Lead researchers

Professor Ivan Haigh

Professor

Research interests

  • I currently have 8 active research grants (4 as principle investigator (PI)) worth £4.8M. 
  • I am the PI on two international grants that started in 2019, both looking at compound flooding. Compound flooding (when the combination, or successive occurrence of, two or more hazard events leads to an extreme impact e.g., coastal and fluvial flooding), can greatly exacerbate the adverse consequences associated with flooding in coastal regions and yet it remains under-appreciated and poorly understood. In the £788k NERC- and NSF- (US National Science Foundation) funded CHANCE project, I am leading a team (working alongside researchers from the University of Central Florida), to deliver a new integrated approach to make a step-change in our understanding, and prediction of, the source mechanisms driving compound flood events in coastal areas around the North Atlantic basin. In the £575k NERC- and NAFOSTED- (Vietnam’s National Foundation for Science and Technology Development) funded project, I am leading a team that is working with colleagues in Vietnam to map and characterise present, and predict future, flood risk from coastal, fluvial, and surface sources and, uniquely, to assess the risk of compound flooding across the Mekong delta; one of the three most vulnerable deltas in the world. I am also the PI on a grant, which started in 2021. In this 41k project, funded by the Dutch Ministry of Infrastructure and Water Management (Rijkswaterstaat), we are assessing past and future closures of the six storm surge barriers in the Netherlands.
  • In 2021, I was awarded a 3-year (50% of my time) prestigious Knowledge Exchange Fellowship funded by NERC (UK’s Natural Environmental Research Council) and worth £154k. This fellowship builds strongly on my prior research and the overall goal is to provide guidance and tools that will help storm surge barrier operators better prepare for the impacts of climate change across every area of their operation now and into the future. Within the fellowship I am working primary with the UK Environment Agency (EA) and the Dutch Ministry of Infrastructure and Water Management (Rijkswaterstaat). However, to ensure the work undertaken can benefit all the existing (and planned) surge barriers around the world, I am also working closely with I-STORM. I-STORM is an international knowledge sharing network for professionals relating to the management, operation and maintenance of storm surge barriers, and has representation from all the surge barriers worldwide.
Connect with Ivan

Collaborating research institutes, centres and groups

Research outputs