High-Performance Integrated hydrodynamic Modelling System (HiPIMS)

HiPIMS is a high-performance modelling suite for simulating different types of flooding, rainfall-induced hazard chains and other relevant processes.

The core of HiPIMS solves the fully 2D shallow water equations using a shock-capturing Godunov-type finite volume numerical scheme and is implemented on multiple GPUs to achieve high-performance computing. HiPIMS is built on robust numerical methods that have been continuously developed for over two decades by academics and researchers from , initiated and led by Prof Qiuhua Liang. A range of innovative simulation approaches have also been implemented and coupled to HiPIMS to achieve multi-process modelling to support ‘whole-system’ hazard risk assessment and management.

Publications

Solving the full shallow water equations (SWEs) on dynamically adaptive quadtree grids

  • Liang Q, Borthwick AGL, Stelling G (2004) . International Journal for Numerical Methods in Fluids, 46: 127-162.
  • Liang Q, Du G, Hall JW, Borthwick AGL (2008) . ASCE - Journal of Hydraulic Engineering, 134(11): 1603-1610.

Solving the SWEs on a new simplified adaptive grid system

  • Liang Q (2012) . International Journal for Numerical Methods in Fluids, 69(2): 442-458.

NewChan based on pre-balanced SWEs and new schemes for complex topography & wetting/drying

  • Liang Q (2008) . ASME – Journal of Fluids Engineering, 130(1): 011205-1-9.
  • Liang Q (2010) . ASCE - Journal of Hydraulic Engineering, 136(9): 669-675.

Rewriting NewChan using OpenCL; high-performance computing on multi-GPUs and multi-nodes

  • Smith LS, Liang Q (2013) . Computers & Fluids, 88: 334-343.
  • Liang Q, Smith LS (2015) . Journal of Hydroinformatics, 17(4): 518-533. (The name of HiPIMS first publicly adopted).

CUDA implementation for tsunami and flood modelling on a single GPU

  • Amouzgar R, Liang Q, Clarke PJ, Yasuda T, Mase H (2016) . International Journal of Offshore and Polar Engineering, 26(2): 154-160.

GPU-Accelerated Shallow water flow & Transport model: Extended to include sediment and pollutant transport

  • Liang Q, Hou J, Smith LS (2015) An efficient hydrodynamic modelling system for predicting flood induced geomorphological processes. The 36th IAHR World Congress, 28 June – 3 July 2015, The Hague, The Netherlands.

CUDA implementation for multi-GPUs computing. New numerical methods for more stable and accurate overland flow modelling

  • Xia X, Liang Q, Ming X (2019) . Advances in Water Resources, 132: 103392.
  • Xia X, Liang Q (2018) . Advances in Water Resources, 117: 87-97.
  • Xia X, Liang Q, Ming X, Hou J (2017) . Water Resources Research, 53: 3730-3759.

Hybrid Python and CUDA framework for multi-GPUs & multi-node simulations

  • Zhao J, Liang Q (2022) . Advances in Water Resources, 163: 104187.
  • Tong X, Liang Q, Zhao J (2023) . EGU 2023, abstract only.

New mathematical and coupled modelling framework for flow-like landslide simulations

  • Xia X, Liang Q (2018) . Engineering Geology, 234: 174-191.
  • Su X, Liang Q, Xia X (2022) . Environmental Modelling & Software, 153: 105412.

Coupled model for drainage modelling with CUDA implementation across multi-GPUs

  • Li Q, Liang Q, Xia X (2020) . Advances in Water Resources, 137: 103519.

Modelling interactive flood waves into underground space

  • Li Q (2022) . PhD thesis, 黑料网.

New coupled hydrodynamic-DEM model for floating debris

  • Xiong Y, Liang Q, Zheng J, Stolle J, Nistor I, Wang G (2022) . Ocean Engineering, 225: 111468.

Modelling flow through hydraulic structures

  • Cui Y, Liang Q, Wang G, Zhao J, Hu J, Wang Y, Xia X (2019) . Water, 11: 2139 (12 pages).

Particle-based approach for full-process non-point source (NPS) pollutant modelling

  • Jiang J, Liang Q, Xia X, Hou J (2021) . Environmental Modelling & Software, 136: 104951.
  • Tong X, Liang Q, Wang G, Lai X (2023) A physically based model for non-point source pollutant wash-off process over impervious road surfaces. (To be published soon)

Novel CHANS modelling framework for interactive human and flooding processes

  • Qin H, Liang Q, Chen H, De-Silva V (2023) Development of a Coupled Human And Natural Systems (CHANS) Modelling Approach for flood risk assessment and reduction. (To be published soon)

Modelling individual measures for Nature-Based Solutions (NBS)

  • Publication to be released soon.