iHydroSlide3D is an open-source, parallelized, and modular modeling software for regional hydrologic processes and landslides simulation and prediction. The PHyL mainly includes the following modules: (i) a distributed hydrological model (CREST); (ii) a regional 3D slope stability model; and (iii) a soil moisture downscaling (SMD) method. Parallel computational technique is applied for both hydrological and slope-stability modeling modules, which is further seamlessly coupled by the SMD method. An advanced storage method, visualization, and validation processes are designed to improve the post-processing of the simulation results. PHyL is therefore an advanced and user-friendly tool for regional flood-landslide disaster forecasting.
Note: iHydroSlide3D v1.1 is functionally identical to PHyL v1.0 (Chen et al., 2024), which was developed as an enhanced version of iHydroSlide3D v1.0, primarily improving high-performance computing (HPC) capabilities. Although PHyL v1.0 was publicly released, we have decided to discontinue that name. All future updates and releases will continue under the name iHydroSlide3D, which is already well established and widely recognized in the open-source community.
If you are a git user, you can install the PHyL and keep up to date by cloning the repo:
git clone https://github.com/GuodingChen/iHydroSlide3D.git
Users can refer to Manual.html to get started.
➡️ Guoding Chen (guoding.chen94@gmail.com)
Chen G, Zhang K, Wang S, et al. iHydroSlide3D v1. 0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction[J]. Geoscientific Model Development, 2023, 16(10): 2915-2937.
Chen G, Zhang K, Wang S, et al. A prototype adaptive mesh generator for enhancing computational efficiency and accuracy in physically-based modeling of flood-landslide hazards[J]. Environmental Modelling & Software, 2025, 189: 106458.
Chen G, Zhang K, Li Y, et al. Empowering a coupled hydrological-geotechnical model to simulate long-term vegetation dynamics and their impact on catchment-scale flood and landslide hazards[J]. Journal of Hydrology, 2025, 658: 133225.
Chen G, Zhang K, Wang S, et al. A prototype adaptive mesh generator for enhancing computational efficiency and accuracy in physically-based modeling of flood-landslide hazards[J]. Environmental Modelling & Software, 2025, 189: 106458.
Zhang, K., Xue, X., Hong, Y., Gourley, J. J., Lu, N., Wan, Z., Hong, Z., and Wooten, R.: iCRESTRIGRS: A coupled modeling system for cascading Flood–Landslide disaster forecasting, Hydrology and Earth System Sciences, 20, 5035–5048, 10.5194/hess-20-5035-2016, 2016.
Wang, S., Zhang, K., van Beek, L. P. H., Tian, X., and Bogaard, T. A.: Physically-based landslide prediction over a large region: Scaling low-resolution hydrological model results for high-resolution slope stability assessment, Environmental Modelling & Software, 124, 104607, 10.1016/j.envsoft.2019.104607, 2020.
Mergili, M., Marchesini, I., Alvioli, M., Metz, M., Schneider-Muntau, B., Rossi, M., and Guzzetti, F.: A strategy for GIS-Based 3-D slope stability modelling over large areas, Geoscientific Model Development, 7, 2969–2982, 10.5194/gmd-7-2969-2014, 2014a.