Tailored opportunities: PhD Studentship: Global River Networks Based on Remote Sensing Imagery and Hydrodynamic Modelling at the Loughborough University

What?

Precise delineation of river networks is important for flood modelling and risk management, water resource management, and many other applications. Traditionally, approaches based on digital elevation models (DEMs) are usually used to extract river networks. However, DEM-based methods are not able to physically depict flow directions and differentiate between the perennial and intermittent flows, leading to inaccurate extraction of river networks. Having the advantage of continuous global coverage at high temporal and spatial resolution, satellite imagery can be used to monitor hydrological changes over space and time, and provides an alternative means for delineation of river networks. However, satellite imagery extracts channelized elements from local morphologies without considering overall hydrological connectivity, which may create broken and inconsistent river segments.

To effectively address the challenges of the existing approaches, this PhD project aims to integrate DEM-based methods with satellite imagery to develop a new generation of algorithm to delineate high-precision and connected river networks at the global scale. The new river network extraction algorithm will take advantages of the latest high-performance hydrodynamic modelling, cloud-computing and machine learning technologies to produce a new global river network product to support different geoscience applications, creating substantial academic and practical impact.

Who?

Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Engineering (e.g. Civil Engineering, Mechanical Engineering), Geography or Earth Science. A Master’s degree and/or experience in a related area associated with the research will be an advantage.

When?

Deadline for application is 10th January 2020

How?

To apply:

Please quote CENTA20-LU7 when completing your online application.

For further information on this project, please see the main CENTA website (http://www.centa.org.uk/) or contact Prof. Qiuhua Liang (Q.Liang@lboro.ac.uk) or Dr Huili Chen (H.Chen2@lboro.ac.uk).

If you need help in responding to this opportunity, please write your question in the comment box below.

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Published by

African Academic/Researcher

Science and Research by Africans for Africa

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