Project Description
Supervisors
Dr Matt Westoby, Geography, Earth and Environmental Sciences (SoGEES), University of Plymouth – contact me
Professor Sarah Boulton, School of Geography, Earth and Environmental Sciences, University of Plymouth
Professor Will Blake, Sustainable Earth Institute, University of Plymouth
Professor Stuart Dunning, School of Geography, Politics and Sociology, Newcastle University
Background:
Extreme sediment-rich flows, triggered by natural or man-made dam outbursts, landslides, and wildfires, cause major disruptions in river systems. Due to climate change, the frequency and magnitude of these events are expected to rise, as many triggers are climate-sensitive. These flows mobilise vast amounts of sediment, generating post-event pulses involving a variety of grain sizes. These pulses are challenging to identify, monitor, and model, complicating hazard management. This is especially critical for the hydropower sector, which is rapidly expanding into unstable, high-mountain regions.
Aims and Methods:
Project aims: (1) to quantify the spatiotemporal dynamics of sediment pulses triggered by extreme sediment-rich floods at catchment- to regional scales; (2) to explore how optimized decision-making in the hydropower sector can reduce the impacts of these events. To achieve aim (1), you will use Google Earth Engine to identify sediment pulses, analysing their timing, magnitude, and runout, while assessing the role of hydropower infrastructure in buffering or exacerbating pulse conveyance. Field-deployed turbidity sensors will calibrate and validate your observations, allowing you to apply methods at scale (e.g., mountain range fronts) and develop a new empirically informed, conceptual model of sediment-rich flow behaviours in such landscapes. In pursuit of aim (2), you will utilize open-source modelling tools with stochastic simulation functionality, like PySedSim, supported by data from your study catchment(s), to explore how hydropower sediment management strategies can be adapted to mitigate the impacts of sediment-rich flows while balancing the often-competing priorities of energy production, water quality, and hydro-geomorphic connectivity.
Person Specification and Training:
We encourage applicants from geoscience backgrounds and also numerate degrees (mathematics, physics, computer science) with limited/no exposure to the environmental sciences. Experience with geospatial methods including familiarity with, or an aptitude to learn, common programming languages, is desirable. You will be encouraged to attend discipline-specific external training courses, and those which focus on improving technical competencies. You will align with the NERC-funded SUPERSLUG project and will work within a diverse international team including other early career researchers. Inclusive fieldwork will be centred on the Indian Himalaya in the first instance, with opportunity to attend conferences and undertake external engagement.
Acceptable first degree subjects: Geography (Physical Geography focus); Geology / Earth Sciences; Mathematics; Physics; Computer Science