Modelling Mixing Mechanisms
Modelling Mixing Mechanisms is an EPSRC Established Career Fellowship awarded to Professor Ian Guymer to lead the transition from simplified 1D modelling approaches to more robust residence time distribution (RTD) based descriptions of flows with low turbulence, complex 3D shapes and unsteady flows.
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Project description
Mixing effects in channels and pipes of uniform geometry can be represented with confidence in highly turbulent, steady flows. However, in the majority of water systems, the standard 1D model predictions fall short because of knowledge gaps due to low turbulence, 3D shapes and unsteady flows.
This Fellowship works to address the knowledge gaps, delivering a step change in the predictive capability of 1D water quality network models.
People
PI
PDRA
PDRA
PDRA
Partners
Industrial
- Dr Karen Burrell, WRc plc
- Dr Robert M Clark, Environmental Engineering and Public Health Consultant
- Dr Jonathan Cutting, Mouchel Consulting
- Helga Gjeraldstveit, International Research Institute of Stavanger
- Dr Barry Hankin, JBA
- Dr Phil Hulme, Environment Agency
- Dr Amy Jones, RPS
- Dr Ole Mark, Krüger
- Milo Purcell, Drinking Water Inspectorate
- Dr Roger Van-Egmond, Unilever
- Margaret Williams, Severn Trent Water
International academic
- Professor Steven Buchberger, University of Cincinnati, USA
- Professor Francois Clemens, Delft University, Netherlands
- Professor Heidi Nepf, Massachusetts Institute of Technology, USA
- Professor Il Won Seo, National University of Seoul, Korea
UK academic
- Professor Michael Chappell, University of Warwick
- Dr Yongmann Chung, University of Warwick
- Professor David Towers, University of Warwick
- Honorary Associate Professor Steve Wallis, Heriot-Watt University
Outputs
Publications
Journal articles
- Quantifying mixing in sewer networks for source localization. Journal of Environmental Engineering, 149(5).
- Longitudinal dispersion affected by willow patches of low areal coverage. Hydrological Processes, 36(6).
- The impact of cylinder diameter distribution on longitudinal and transverse dispersion within random cylinder arrays. Water Resources Research, 58(4).
- Predicting manhole mixing using a compartmental model. Journal of Hydraulic Engineering, 147(12).
- Longitudinal Dispersion in Unsteady Pipe Flows. Journal of Hydraulic Engineering, 147(9), 04021033-04021033. View this article in WRRO
- Unifying advective and diffusive descriptions of bedform pumping in the benthic biolayer of streams. Water Resources Research, 56(11).
- A One‐Dimensional Model for Turbulent Mixing in the Benthic Biolayer of Stream and Coastal Sediments. Water Resources Research, 56(12).
- Optimal sampling of water distribution network dynamics using graph Fourier transform. IEEE Transactions on Network Science and Engineering. View this article in WRRO
- Pore-network modelling of non-Darcy flow through heterogeneous porous media. Advances in Water Resources, 131. View this article in WRRO
- On the potential of on-line free-surface constructed wetlands for attenuating pesticide losses from agricultural land to surface waters. Environmental Chemistry. View this article in WRRO
- A CFD‐Based Mixing Model for Vegetated Flows. Water Resources Research, 55(3), 2322-2347. View this article in WRRO
- A stem spacing‐based non‐dimensional model for predicting
longitudinal dispersion in low‐density emergent vegetation. Acta Geophysica. View this article in WRRO
- Estimating drag coefficient for arrays of rigid cylinders representing emergent vegetation. Journal of Hydraulic Research/De Recherches Hydrauliques. View this article in WRRO
- Computational fluid dynamics modelling of residence times in vegetated stormwater ponds. Proceedings of the Institution of Civil Engineers. Water Management.. View this article in WRRO
- A multi-component method to determine pesticides in surface water by liquid-chromatography tandem quadrupole mass spectrometry. Water and Environment Journal, 31(3), 380-387.
- Transverse and longitudinal mixing in real emergent vegetation at low velocities. Water Resources Research, 53(1), 961-978. View this article in WRRO
Conference proceedings papers
- Spatio-Temporal Characterisation Of Hydrodynamics And Mixing Processes In Obstructed Flows Using Optical Techniques. Proceedings of the 39th IAHR World Congress, 19 June 2022 - 24 June 2022.
- On the Use of Surface PIV for the Characterization of Wake Area in Flows Through Emergent Vegetation (pp 43-52)
- EFFECTS OF SEASONAL VARIATION OF VEGETATION ON HYDRAULICRESIDENCE TIME DISTRIBUTIONS IN A STORMWATER POND. 38th IAHR World Congress - "Water: Connecting the World"
- A validated CFD model for estimating residence times in vegetated stormwater ponds. NOVATECH 2019. Lyon, France, 1 July 2019 - 5 July 2019.
- Experimental molecular communications in obstacle rich fluids. Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication
- A non-dimensional model for longitudinal dispersion in emergent vegetation based on stem-spacing. 5th IAHR Europe Congress. Trento, Italy, 12 June 2018 - 14 June 2018.
- A CFD based comparison of mixing due to regular and random cylinder arrays. GeoPlanet: Earth and Planetary Sciences (pp 195-205) View this article in WRRO
- Transverse mixing coefficient in random cylinder arrays – a CFD validation study. Proceedings of the 37th IAHR Word Congress, 13 August 2017 - 18 August 2017.
Software / Code
Datasets
- Temporal Concentration Profiles in Steady and Unsteady Pipe Flow.
- University of Sheffield Experimental Manhole Traces and CRTDs.
Preprints
- Optimal Sampling of Water Distribution Network Dynamics using Graph
Fourier Transform, arXiv.
Datasets
- University of Sheffield Experimental Manhole Traces and CRTDs
- Transverse Dispersion in Vegetation across a Shear-layer 2016: Artificial, Carex, Typha
- Temporal Concentration Profiles in Steady and Unsteady Pipe Flow
- Hyporheic Exchange 2012 Dataset
Software
Workshops
- Project launch workshop, January 2018
- Mixing Processes in Pipes, Sewers and the natural Environment from Theory to Practice, April 2023
This fellowship is funded by EPSRC grant EP/P012027/1.