79 citations as recorded by crossref.

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3. The mechanisms of high mobility of a glacial debris flow using the Pudasaini-Mergili multi-phase modeling T. Wang et al. 10.1016/j.enggeo.2023.107186
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20. Pure risk premium rating of debris flows based on a dynamic run-out model: a case study in Anzhou, China Z. Deng et al. 10.1007/s11069-020-04459-x
21. Experimental study of stony debris flow and its feature importance with varying coarse grain and water content N. Pandey et al. 10.1007/s12665-024-11933-3
22. A novel dynamic impact pressure model of debris flows and its application on reliability analysis of the rock mass surrounding tunnels X. Liu et al. 10.1016/j.enggeo.2020.105694
23. Coupling CFD model and FEM model to investigate the impact of debris flows on a low-rise building T. Le et al. 10.1016/j.rineng.2024.103063
24. Bed scour by debris flows: experimental investigation of effects of debris‐flow composition T. Haas & T. Woerkom 10.1002/esp.3963
25. Simulation of interactions among multiple debris flows H. Chen et al. 10.1007/s10346-016-0710-x
26. Dynamic Risk Assessment of Landslide Hazard for Large-Scale Photovoltaic Power Plants under Extreme Rainfall Conditions R. Li et al. 10.3390/w15152832
27. Experimental Investigation on the Breaching Process of Landslide Dams with Differing Materials under Different Inflow Conditions Z. Shi et al. 10.3390/ma15062029
28. Evaluating Metropolitan Flood Coping Capabilities under Heavy Storms L. Gao et al. 10.1061/(ASCE)HE.1943-5584.0001793
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30. Physics of building vulnerability to debris flows, floods and earth flows H. Luo et al. 10.1016/j.enggeo.2020.105611
31. An integrated hydrodynamic model for runoff-generated debris flows with novel formulation of bed erosion and deposition X. Xia et al. 10.1016/j.enggeo.2023.107310
32. Two-phase modelling of erosion and deposition process during overtopping failure of landslide dams using GPU-accelerated ED-SPH M. Zhou et al. 10.1016/j.compgeo.2023.105944
33. Simulation of interactions between debris flow and check dams on three-dimensional terrain H. Chen et al. 10.1016/j.enggeo.2019.02.001
34. The role of observations in the inverse analysis of landslide propagation M. Calvello et al. 10.1016/j.compgeo.2017.07.011
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36. Two-dimensional simulation of debris flow impact pressures on buildings L. Gao et al. 10.1016/j.enggeo.2017.06.012
37. EDDA 2.0: integrated simulation of debris flow initiation and dynamics considering two initiation mechanisms P. Shen et al. 10.5194/gmd-11-2841-2018
38. Modeling the landslide-generated debris flow from formation to propagation and run-out by considering the effect of vegetation W. Liu et al. 10.1007/s10346-020-01478-4
39. A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping X. Wei et al. 10.1007/s11069-021-04844-0
40. A physically-based multi-hazard risk assessment platform for regional rainfall-induced slope failures and debris flows H. Chen et al. 10.1016/j.enggeo.2015.12.009
41. A well-balanced numerical scheme for debris flow run-out prediction in Xiaojia Gully considering different hydrological designs X. Han et al. 10.1007/s10346-017-0850-7
42. Debris-flow susceptibility assessment in Dongchuan using stacking ensemble learning including multiple heterogeneous learners with RFE for factor optimization K. Li et al. 10.1007/s11069-023-06099-3
43. Simulation of runout behavior of submarine debris flows over regional natural terrain considering material softening Y. Chen et al. 10.1080/1064119X.2021.2020942
44. Initiation mechanisms and dynamics of a debris flow originated from debris-ice mixture slope failure in southeast Tibet, China D. Peng et al. 10.1016/j.enggeo.2022.106783
45. Evaluating volume of coseismic landslide clusters by flow direction-based partitioning R. Fan et al. 10.1016/j.enggeo.2019.105238
46. SPH-FDM propagation and pore water pressure modelling for debris flows in flume tests L. Cascini et al. 10.1016/j.enggeo.2016.08.007
47. Evaluating effectiveness of mitigation measures for large debris flows in Wenchuan, China J. He et al. 10.1007/s10346-021-01809-z
48. Simulating debris flow mobility in urban settings L. Gao et al. 10.1016/j.enggeo.2016.10.001
49. Estimating the combined risks of sea level rise and storm surges using a numerical model: Application to Macao Z. Long & L. Gao 10.1016/j.jclepro.2023.137155
50. Effects of bed longitudinal inflexion and sediment porosity on basal entrainment mechanism: insights from laboratory debris flows P. Li et al. 10.1007/s10346-020-01618-w
51. Permeability-Porosity Relation During Erosion-Induced Water Inrush Experimental and Theoretical Investigations J. Liu & C. Zhou 10.2139/ssrn.4005764
52. Deep learning enables super-resolution hydrodynamic flooding process modeling under spatiotemporally varying rainstorms J. He et al. 10.1016/j.watres.2023.120057
53. Torrential Hazard Prevention in Alpine Small Basin through Historical, Empirical and Geomorphological Cross Analysis in NW Italy L. Turconi et al. 10.3390/land11050699
54. Role of the Rheological Parameters in Debris Flow Modelling M. Khan et al. 10.1088/1757-899X/1092/1/012041
55. Role of vegetation restoration in mitigating hillslope erosion and debris flows P. Shen et al. 10.1016/j.enggeo.2016.11.019
56. Experimental investigation on the longitudinal evolution of landslide dam breaching and outburst floods G. Zhou et al. 10.1016/j.geomorph.2019.02.035
57. Advances in the simulation of debris flow erosion: The case study of the Rio Gere (Italy) event of the 4th August 2017 T. Baggio et al. 10.1016/j.geomorph.2021.107664
58. Lahars and debris flows: Characteristics and impacts J. Thouret et al. 10.1016/j.earscirev.2019.103003
59. Depth-resolved numerical model of dam break mud flows with Herschel-Bulkley rheology J. Tang et al. 10.1007/s11629-021-7218-0
60. Permeability-porosity relation during erosion-induced water inrush: Experimental and theoretical investigations J. Liu & C. Zhou 10.1016/j.trgeo.2022.100893
61. Influences of internal erosion on infiltration and slope stability L. Zhang et al. 10.1007/s10064-017-1185-2
62. Some Considerations for Using Numerical Methods to Simulate Possible Debris Flows: The Case of the 2013 and 2020 Wayao Debris Flows (Sichuan, China) X. Zhang et al. 10.3390/w14071050
63. The Landslide Hazard Chain in the Tapovan of the Himalayas on 7 February 2021 R. Jiang et al. 10.1029/2021GL093723
64. Quantitative Prediction of Outburst Flood Hazard of the Zhouqu “8.8” Debris Flow-Barrier Dam in Western China H. Yang et al. 10.3390/w13050639
65. Landslide susceptibility mapping of mountain roads based on machine learning combined model H. Dou et al. 10.1007/s11629-022-7657-2
66. AscDAMs: advanced SLAM-based channel detection and mapping system T. Wang et al. 10.5194/nhess-24-3075-2024
67. A 2D numerical model for simulating landslide dam failure and induced morphological changes considering multi-layer and non-uniform sediments J. Yang et al. 10.2166/hydro.2024.103
68. Debris Flow Susceptibility Evaluation—A Review A. Kumar & R. Sarkar 10.1007/s40996-022-01000-x
69. Numerical modeling of interactions between a flow slide and buildings considering the destruction process S. Feng et al. 10.1007/s10346-019-01220-9
70. A mechanical erosion model for two-phase mass flows S. Pudasaini & J. Fischer 10.1016/j.ijmultiphaseflow.2020.103416
71. Modeling landslide failure surfaces by polynomial surface fitting C. Tang et al. 10.1016/j.geomorph.2020.107358
72. Unraveling the effect of a two-layer system on the mobility of rapid gravitational flows W. Hu et al. 10.1016/j.enggeo.2021.106481
73. Deciphering controls for debris‐flow erosion derived from a LiDAR‐recorded extreme event and a calibrated numerical model (Roßbichelbach, Germany) A. Dietrich & M. Krautblatter 10.1002/esp.4578
74. Experimental study on breaching mechanisms of landslide dams composed of different materials under surge waves M. Peng et al. 10.1016/j.enggeo.2021.106242
75. Risk assessment of Sichuan–Tibet Highway susceptible to debris flows at Suotong Basin, southeastern Tibet K. Hu et al. 10.1088/1755-1315/570/4/042051
76. Debris flow enlargement from entrainment: A case study for comparison of three entrainment models P. Shen et al. 10.1016/j.enggeo.2020.105581
77. Learning Case Study of a Shallow-Water Model to Assess an Early-Warning System for Fast Alpine Muddy-Debris-Flow A. Pasculli et al. 10.3390/w13060750
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79. Predicting debris-flow clusters under extreme rainstorms: a case study on Hong Kong Island S. Zhou et al. 10.1007/s10064-019-01504-3