Articles | Volume 16, issue 10
https://doi.org/10.5194/gmd-16-2915-2023
https://doi.org/10.5194/gmd-16-2915-2023
Model description paper
 | 
26 May 2023
Model description paper |  | 26 May 2023

iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction

Guoding Chen, Ke Zhang, Sheng Wang, Yi Xia, and Lijun Chao

Related authors

P-LSHv2: a multi-decadal global daily evapotranspiration dataset enhanced with explicit soil moisture constraints
Jin Feng, Ke Zhang, Lijun Chao, Huijie Zhan, and Yunping Li
Earth Syst. Sci. Data, 17, 5039–5064, https://doi.org/10.5194/essd-17-5039-2025,https://doi.org/10.5194/essd-17-5039-2025, 2025
Short summary
Global escalation of more frequent and intense compound heatwave-extreme precipitation events
Haoyu Jin, Ke Zhang, Moyang Liu, Xuan Yu, Xu Yang, Lijun Chao, Pengfei Zhang, and Guoyan Liu
EGUsphere, https://doi.org/10.5194/egusphere-2025-4289,https://doi.org/10.5194/egusphere-2025-4289, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Predicting snow cover and frozen ground impacts on large basin runoff: developing appropriate model complexity
Nan Wu, Ke Zhang, Amir Naghibi, Hossein Hashemi, Zhongrui Ning, Qinuo Zhang, Xuejun Yi, Haijun Wang, Wei Liu, Wei Gao, and Jerker Jarsjö
Hydrol. Earth Syst. Sci., 29, 3703–3725, https://doi.org/10.5194/hess-29-3703-2025,https://doi.org/10.5194/hess-29-3703-2025, 2025
Short summary
Altitudinal variation in impacts of snow cover, reservoirs and precipitation seasonality on monthly runoff in Tibetan Plateau catchments
Nan Wu, Ke Zhang, Amir Naghibi, Hossein Hashemi, Zhongrui Ning, and Jerker Jarsjö
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-401,https://doi.org/10.5194/hess-2024-401, 2025
Revised manuscript accepted for HESS
Short summary
Integrated Catchment Classification Across China Based on Hydroclimatological and Geomorphological Similarities Using Self-Organizing Maps and Fuzzy C-Means Clustering for Hydrological Modeling
Jiefan Niu, Ke Zhang, Xi Li, and Hongjun Bao
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-304,https://doi.org/10.5194/hess-2024-304, 2024
Preprint under review for HESS
Short summary

Cited articles

Abele, G.: Bergsturze in den Alpen. Ihre Verbreitung, Morphologie und Folgeerscheinungen, Wiss. Alpenvereinshefte, 25, 1974. 
Abraham, M. T., Satyam, N., Rosi, A., Pradhan, B., and Segoni, S.: Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning, CATENA, 200, 105147, https://doi.org/10.1016/j.catena.2021.105147, 2021. 
Alvioli, M. and Baum, R. L.: Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface, Environ. Model. Softw., 81, 122–135, https://doi.org/10.1016/j.envsoft.2016.04.002, 2016. 
Aristizábal, E., Vélez, J. I., Martínez, H. E., and Jaboyedoff, M.: SHIA_Landslide: A distributed conceptual and physically based model to forecast the temporal and spatial occurrence of shallow landslides triggered by rainfall in tropical and mountainous basins, Landslides, 13, 497–517, https://doi.org/10.1007/s10346-015-0580-7, 2016. 
Arnone, E., Noto, L. V., Lepore, C., and Bras, R. L.: Physically-based and distributed approach to analyze rainfall-triggered landslides at watershed scale, Geomorphology, 133, 121–131, 2011. 
Download
Short summary
In this study, we developed a novel modeling system called iHydroSlide3D v1.0 by coupling a modified a 3D landslide model with a distributed hydrology model. The model is able to apply flexibly different simulating resolutions for hydrological and slope stability submodules and gain a high computational efficiency through parallel computation. The test results in the Yuehe River basin, China, show a good predicative capability for cascading flood–landslide events.
Share