SynxFlow: Synergising High-Performance Hazard Simulation with Data Flow

What the software can do

This software can dynamically simulate flood inundation, landslides runout and debris flows using multiple CUDA-enabled GPUs. It also offers an user-friendly yet versatile Python interface that can be fully integrated into data science workflows, aiming to streamline and accelerate hazard risk assessment tasks.

Using the model

For how to install and use the model, please visit here

Running the model on Google Colab

The tutorials can also run on Google Colab by using one of the following links

Click me to run a flood simulation

Click me to run a landslide runout simulation

Click me to run a debris flow simulation

Acknowledgment

SynxFlow represents our distinct vision for the next generation of tools in this field, aiming to address evolving challenges and user needs with cutting-edge technologies. Our goal is to offer powerful, yet user-friendly tools for research and industrial applications, ensuring broad accessibility and applicability. In this spirit, SynxFlow is committed to being an open-source, community-driven and inclusive project. SynxFlow inherits code from established open-source software such as HiPIMS-CUDA [1] and Pypims [2]. The development of SynxFlow has also benefited from the skills, knowledge, and experience gained by its authors while contributing as main developers to HiPIMS-CUDA and Pypims.

[1] HiPIMS stands for High-Performance Integrated hydrodynamic Modelling System. HiPIMS is an open source flood Modelling suite developed and maintained by Prof Qiuhua Liang and his team in Loughborough University.

[2] Pypims is a further development of HiPIMS-CUDA to provide a Python interface.