SEAMLESS-WAVE

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SEAMLESS-WAVE is a developing “SoftwarE infrAstructure for Multi-purpose fLood modElling at variouS scaleS” based on "WAVElets" and their versatile properties. The vision behind SEAMLESS-WAVE is to produce an intelligent and holistic modelling framework, which can drastically reduce iterations in building and testing for an optimal model setting, and in controlling the propagation of model-error due to scaling effects and of uncertainty due statistical inputs.

View the Project on GitHub ci1xgk/Fellowship_Webpage

Publications

Journal papers

J. Ayog, G. Kesserwani, and D. Bau (2021). Well-resolved velocity fields using discontinuous Galerkin shallow water solutions. Journal of Hydraulic Engineering (ASCE), Preprint in review.

M. Shirvani and G. Kesserwani (2021). Flood-pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study. Natural Hazards and Earth System Sciences, Preprint in review.

J. Shaw, G. Kesserwani, J. Neal, P. Bates, and M. K. Sharifian (2021). LISFLOOD-FP 8.0: the new discontinuous Galerkin shallow water solver for multi-core CPUs and GPUs. Development and technical paper submitted to Geoscientific Model Development, Tentatively accepted.

J. Ayog, G. Kesserwani, J. Shaw, M.K. Sharifian, and D. Bau (2021). Second-order discontinuous Galerkin flood model: comparison with industry-standard finite volume models. Journal of Hydrology, 594: 125924.

M. Shirvani, G. Kesserwani, and P. Richmond (2021). Agent-based simulator of dynamic flood-people interactions. Journal of Flood Risk Management, in press.

M. Shirvani, G. Kesserwani, and P. Richmond (2020). Agent-based modelling of pedestrian responses during flood emergency: mobility behavioural rules and implications for flood risk analysis. Journal of Hydroinformatics, 22: 1078–1092.

I. Özgen-Xian, G. Kesserwani, D Caviedes-Voullième, S Molins, Z Xu, D Dwivedi, J. D. Moulton, and C. I. Steefel (2020). Wavelet-based local mesh refinement for rainfall-runoff simulations. Journal of Hydroinformatics, 22:1059–1077.

G. Kesserwani and M.K. Sharifian (2020). (Multi)wavelets can increase both accuracy and efficiency of Godunov-type hydrodynamic models: robust 2D approaches. Advances in Water Resouces, 144, 103693.

J. Shaw, G. Kesserwani and P. Pettersson (2020). Probabilistic Godunov-type hydrodynamic modelling under multiple uncertainties: robust wavelet-based formulations. Advances in Water Resouces, 137, 103526.

J. Shaw and G. Kesserwani (2020). Stochastic Galerkin finite volume shallow flow model: well-balanced treatment over uncertain topography. Journal of Hydraulic Engineering (ASCE), 146, 04020005.

G. Kesserwani, J. Shaw, M.K. Sharifian, P.D. Bates, D. Bau, C. Keylock, and J. Ryan (2019). (Multi)wavelets can increase both accuracy and efficiency of Godunov-type hydrodynamic models. Advances in Water Resouces,129, 31-55.

M.K. Sharifian, Y. Hassanzadeh, G. Kesserwani and J. Shaw (2019). Performance of multiwavelet discontinuous Galerkin approach for solving the Green-Naghdi equations. International Journal for Numerical Methods in Fluids, 90, 501-521.

G. Kesserwani, J.L. Ayog and D. Bau (2018). Discontinuous Galerkin formulation for 2D hydrodynamic modelling: trade-offs between theoretical complexity and practical convenience. Computer Methods in Applied Mechanics and Engineering, 342, 710-741.

M.K. Sharifian, G. Kesserwani and Y. Hassanzadeh (2018). A discontinuous Galerkin approach for conservative modeling of fully nonlinear and weakly dispersive wave transformations. Ocean Modelling, 125, 61-79.

Conference contributions

MK. Sharifian and G. Kesserwani. (Multi)wavelets increase both accuracy and efficiency of standard Godunov-type hydrodynamic models: 2D application. 6th IAHR Europe Congress 2020, June 30 - July 2, Warsaw, Poland.

M. Shirvani, G. Kesserwani and P. Richmond. Dynamic simulation of flood and people interactions for urban and populated areas. ‘Bringing the Water Sector Together, Innovation Through Collaboration to Secure a Sustainable Future’, TWENTY65 conference 2020, April 28-29 Manchester, UK.

I. Özgen-Xian, S. Molins, G. Kesserwani, D. Caviedes-Voullieme and CI. Steefel. Meshing workflows for multiscale hydrological simulations: Wavelet-based approach improves model accuracy. Fall AGU meeting 2019, Decembre 9-13, San Francisco, US.

G. Kesserwani and J. Shaw. Finite volume shallow water modelling with direct uncertainty propagation: is it worth it? Fall AGU meeting 2019, Decembre 9-13, San Francisco, US.

G. Kesserwani, J. Shaw and MK Sharifian. Adaptive MWDG2 hydrodynamic solver: as accurate as a uniform DG2 solver but faster than a uniform FV1 solver. Modelling Hydrodynamics for Water Resources (MODWATER 2019), June 17-20, University of Zaragoza, Spain.

J. Shaw and G. Kesserwani. Well-balanced stochastic Galerkin shallow water flows over uncertain topography. 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24-26, Crete, Greece.

G. Kesserwani, M.K. Sharifian and J. Shaw. Adaptive multi-scale shallow flow model: a wavelet-based formulation. 13th International Conference on Hydroinformatics (HIC 2018), July 01-07, Palermo, Italy.

J.L. Ayog and G. Kesserwani. A well-balanced second-order discontinuous Galerkin reformulation for shallow water modelling. 13th International Conference on Hydroinformatics (HIC 2018), July 01-07, Palermo, Italy.

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