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2 PhD positions in Long-Term Bed Degradation in Rivers: Causes & Mitigation in Netherlands | Delft University of Technology (TU Delft)

2 PhD positions in Long-Term Bed Degradation in Rivers: Causes & Mitigation in Netherlands | Delft University of Technology (TU Delft)

Στοιχεία επικοινωνίας

Postbus 5, 2600 AA, Delft, Netherlands
Delft University of Technology (TU Delft)
Tel. +31 (0)15 27 89111
Dr Astrid Blom

Επιστημονικοί τομείς

  • Γεωγραφία
  • Γεωπονία
  • Επιστήμη μηχανικού/ηλεκτρολόγου
  • Μαθηματικά
  • Φυσική

Φορέας υποτροφίας

Καταληκτική ημερομηνία αιτήσεων

Λήγει: 12/02/2016

Περιγραφή

The upstream Dutch Rhine is experiencing bed degradation at a rate of 2 cm per year. This erosion causes severe problems for navigation and river management: nonerodible reaches hamper navigation, and in-channel structures are destabilised. Such ongoing bed degradation is also observed in the German Rhine, the Elbe River, and the Danube River. German water management authorities have conducted sediment augmentation measures since 1978 to mitigate the bed degradation, and in 2016 Rijkswaterstaat will conduct a large-scale field experiment (at a cost of €15M ) to investigate whether augmentations can counteract the degradation of the Dutch Rhine (one of the largest European rivers) and to constrain augmentation rates and sediment sizes for future augmentations.

The current research project focuses on the above bed degradation problems and consists of two PhD positions (A and B). Their objectives are (A) to fully understand the causes of the ongoing bed degradation; (B) to predict the short-term and long-term effects of mitigation measures on river longitudinal profiles. In particular, we will focus on the characterisation of the equilibrium of the river longitudinal profile, i.e. a condition in which the longitudinal profile and the spatial variability of channel sediments do not change in time, as this is the state the river tends to achieve in the long term. Second, we will study the causes of the long-term degradation in terms of (a) narrowing and straightening measures conducted in the 19th and 20th centuries, and (b) extensive dredging in the past, (c) dam construction, and (d) coarse -compared to the transported sediment- augmentation measures performed on the German rivers. The final project objective is the identification of physically based design practices to mitigate long-term degradation with particular attention to design optimisation of smart augmentation and dredging measures. We anticipate that the project will aid the design of measures that counteract the degradation of the Rhine River, Elbe River, and Danube River.

Daily advisor of the project is Dr Astrid Blom. Co-advisors are Dr Enrica Viparelli (University of South Carolina, US) and Dr Roy Frings (University of Aachen, Germany). Short stays at the universities of South Carolina and Aachen are foreseen. A practitioner group, consisting of members affiliated with Deltares, as well as Dutch, German, and Austrian water management authorities and a US-based consultancy, will warrant a link to practice.

Requirements

The candidate is required to have an MSc degree in Civil or Environmental Engineering, Geosciences, Applied Mathematics, Physics or a related field. In particular, the preferred candidate has a strong interest in a better understanding of fluvial processes. He/she is communicative, curious, eager to learn, and able to work in a multi-disciplinary team of scientists.

Department

Civil Engineering & Geosciences

The Department of Hydraulic Engineering focuses on an improved understanding of physical processes in river, coastal, and estuarine systems and the design of sustainable interventions that increase safety.

The main research themes of the department's Rivers group are: the prediction of (long-term) morphodynamic changes, sediment sorting, flow over groynes and obstacles, river bank processes, interaction between flow and vegetation, and uncertainties in fluvial modelling. Key components of our research are analytical and numerical modelling, laboratory experiments, and analysis of field observations.

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