106 citations as recorded by crossref.

1. High‐resolution LiDAR and stereo‐DEMs for debris flow analysis in the Western Ghats, India: Sediment volume computation and run‐out modeling K. V. K. et al. https://doi.org/10.1002/esp.70272
2. Runout modelling and hazard assessment of Tangni debris flow in Garhwal Himalayas, India R. Dash et al. https://doi.org/10.1007/s12665-021-09637-z
3. Evaluating the Differences of Gridding Techniques for Digital Elevation Models Generation and Their Influence on the Modeling of Stony Debris Flows Routing: A Case Study From Rovina di Cancia Basin (North-Eastern Italian Alps) M. Boreggio et al. https://doi.org/10.3389/feart.2018.00089
4. Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada A. Blais-Stevens & P. Behnia https://doi.org/10.5194/nhess-16-449-2016
5. Evaluation of different erosion–entrainment models in debris-flow simulation S. Lee et al. https://doi.org/10.1007/s10346-022-01901-y
6. The dynamics of debris-flow events in Southeast Brazil V. Cabral et al. https://doi.org/10.1016/j.jsames.2025.105523
7. Numerical modeling of debris flow dynamics considering boulder entrainment, transport, and impulse stress T. Kang et al. https://doi.org/10.1016/j.catena.2025.109464
8. DFLOWZ: A free program to evaluate the area potentially inundated by a debris flow M. Berti & A. Simoni https://doi.org/10.1016/j.cageo.2014.02.002
9. Debris flow-induced topographic changes: effects of recurrent debris flow initiation C. Chen & Q. Wang https://doi.org/10.1007/s10661-017-6169-y
10. Debris flow simulation 2D (DFS 2D): Numerical modelling of debris flows and calibration of friction parameters M. Abraham et al. https://doi.org/10.1016/j.jrmge.2022.01.004
11. Field Measurements and Numerical Simulation of Debris Flows from Dolomite Slopes Destabilized during the 2005 Kashmir Earthquake, Pakistan Z. Kazmi et al. https://doi.org/10.1080/13632469.2013.873372
12. Characterization of wood‐laden flows in rivers V. Ruiz‐Villanueva et al. https://doi.org/10.1002/esp.4603
13. Debris flow and debris flood hazard assessment in mountain catchments T. Baggio et al. https://doi.org/10.1016/j.catena.2024.108338
14. Modeling of Entrainment in Debris Flow Analysis for Dry Granular Material C. Kang & D. Chan https://doi.org/10.1061/(ASCE)GM.1943-5622.0000981
15. Application of Sensitivity Analysis for Process Model Calibration of Natural Hazards C. Chow et al. https://doi.org/10.3390/geosciences8060218
16. Physics and Modeling of Various Hazardous Landslides J. Elíasson & Þ. Sæmundsson https://doi.org/10.3390/geosciences11030108
17. Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. https://doi.org/10.1007/s00477-021-02093-y
18. Empirical relationships for the estimation of debris flow runout distances on depositional fans in the Wenchuan earthquake zone W. Zhou et al. https://doi.org/10.1016/j.jhydrol.2019.123932
19. Back analysis key parameters of Scoops3D model using SBAS-InSAR technology for regional landslide hazard assessment Q. Li et al. https://doi.org/10.1007/s10346-025-02578-9
20. Impact of a Random Sequence of Debris Flows on Torrential Fan Formation N. Bezak et al. https://doi.org/10.3390/geosciences9020064
21. Analyzing landslide-induced debris flow and flow-bridge interaction by using a hybrid model of depth-averaged model and discrete element method W. Shiu et al. https://doi.org/10.1007/s10346-022-01963-y
22. Integrated debris flow hazard assessment in critical infrastructure zones: a case study of the 2022 Cubatão event, Serra do Mar, Brazil V. Veloso et al. https://doi.org/10.1007/s11069-026-07969-2
23. Initiation and Flow Conditions of Contemporary Flows in Martian Gullies T. de Haas et al. https://doi.org/10.1029/2018JE005899
24. Modelling the 2012 Lahar in a Sector of Jamapa Gorge (Pico de Orizaba Volcano, Mexico) Using RAMMS and Tree-Ring Evidence O. Franco-Ramos et al. https://doi.org/10.3390/w12020333
25. Influence of rheology on landslide-dammed lake impoundment and sediment trapping: Back-analysis of the Hintersee landslide dam A. Argentin et al. https://doi.org/10.1016/j.geomorph.2022.108363
26. Big Disaster from Small Watershed: Insights into the Failure and Disaster-Causing Mechanism of a Debris Flow on 25 September 2021 in Tianquan, China R. Hou et al. https://doi.org/10.1007/s13753-024-00576-4
27. Debris flow in indian himalaya: A threat to emerging infrastructure N. Chauhan et al. https://doi.org/10.1007/s10064-024-03923-3
28. The Debris Flow Occurred at Ru Secco Creek, Venetian Dolomites, on 4 August 2015: Analysis of the Phenomenon, Its Characteristics and Reproduction by Models C. Gregoretti et al. https://doi.org/10.3389/feart.2018.00080
29. Preliminary analysis of the deadly debris flow on August 11th, 2023, at Xi’an of China: characteristics, mechanism, and hazard assessment Z. Guo et al. https://doi.org/10.1007/s10346-026-02709-w
30. Hazard Assessment of Debris Flow: A Case Study of the Huiyazi Debris Flow Y. Guo et al. https://doi.org/10.3390/w16101349
31. Post-Collapse Evolution of a Rapid Landslide from Sequential Analysis with FE and SPH-Based Models L. Brezzi et al. https://doi.org/10.3390/geosciences11090364
32. Evolution of stony debris flows in laboratory experiments I. Baselt et al. https://doi.org/10.1016/j.geomorph.2020.107431
33. Modelling of debris flow-boulder-barrier interactions using the Coupled Eulerian Lagrangian method S. Sha et al. https://doi.org/10.1016/j.apm.2023.11.029
34. Hazard zonation for rock avalanche and subsequent debris flow propagation in a frontally confined context based on the analysis of numerical simulations and empirical models C. Wolff et al. https://doi.org/10.1007/s11069-025-07342-9
35. Runout modeling and calibration of friction parameters of Kurichermala debris flow, India M. Abraham et al. https://doi.org/10.1007/s10346-020-01540-1
36. Debris flows analysis through quantitative evaluation of soil depth distribution under limited data S. Lee et al. https://doi.org/10.1016/j.catena.2024.108379
37. A hybrid approach to earthquake-preconditioned debris flow: regional susceptibility and event-based hazard assessments Q. Mehmood et al. https://doi.org/10.1007/s11069-026-08181-y
38. Estimation of the area of sediment deposition by debris flow using a physical-based modeling approach H. An et al. https://doi.org/10.1016/j.quaint.2018.09.049
39. Multi‐Model Comparison of Computed Debris Flow Runout for the 9 January 2018 Montecito, California Post‐Wildfire Event K. Barnhart et al. https://doi.org/10.1029/2021JF006245
40. Forecasting of Debris Flow Using Machine Learning-Based Adjusted Rainfall Information and RAMMS Model C. Oh et al. https://doi.org/10.3390/w13172360
41. 2D Runout Modelling of Hillslope Debris Flows, Based on Well-Documented Events in Switzerland F. Zimmermann et al. https://doi.org/10.3390/geosciences10020070
42. Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. https://doi.org/10.1016/j.enggeo.2022.106918
43. Debris flow simulations for hazard, vulnerability and risk assessment in the Karakorum mountain ranges, northern Pakistan I. Ullah et al. https://doi.org/10.1016/j.rsase.2024.101389
44. An alternative approach for the sediment control of in-channel stony debris flows with an application to the case study of Ru Secco Creek (Venetian Dolomites, Northeast Italy) M. Barbini et al. https://doi.org/10.3389/feart.2024.1340561
45. Does the topographic data source truly influence the routing modelling of debris flows in a torrent catchment? M. Boreggio et al. https://doi.org/10.1002/esp.5366
46. Large-scale simulation of watershed mass transport: a case study of Tsengwen reservoir watershed, southwest Taiwan K. Liu et al. https://doi.org/10.1007/s11069-013-0611-4
47. A multi-step hazard assessment for debris-flow prone areas influenced by hydroclimatic events V. Cabral et al. https://doi.org/10.1016/j.enggeo.2022.106961
48. A novel friction weakening-based dynamic model for landslide runout assessment along the Sichuan-Tibet Railway J. Guo et al. https://doi.org/10.1016/j.enggeo.2022.106721
49. Investigation of erosion characteristics of debris flow based on historical cases C. Kang & D. Chan https://doi.org/10.1016/j.enggeo.2022.106767
50. Operational Estimation of Landslide Runout: Comparison of Empirical and Numerical Methods M. Peruzzetto et al. https://doi.org/10.3390/geosciences10110424
51. A homogenized sliding-block model for landslide motion analysis F. Zhang et al. https://doi.org/10.1016/j.jrmge.2025.02.019
52. Torrential Hazard Prevention in Alpine Small Basin through Historical, Empirical and Geomorphological Cross Analysis in NW Italy L. Turconi et al. https://doi.org/10.3390/land11050699
53. El rol de los términos de fricción y cohesión en la modelización bidimensional de fluidos no Newtonianos: avalanchas de nieve densa M. Sanz-Ramos et al. https://doi.org/10.4995/ia.2023.20080
54. Relevance of erosion processes when modelling in-channel gravel debris flows for efficient hazard assessment C. Gregoretti et al. https://doi.org/10.1016/j.jhydrol.2018.10.001
55. Evaluating the Performance of Protective Barriers against Debris Flows Using Coupled Eulerian Lagrangian and Finite Element Analyses S. Sha et al. https://doi.org/10.3390/su16177332
56. Experimental and numerical investigation of the tailings flow characteristics due to dam failure: A Chinese case study H. Tian et al. https://doi.org/10.1016/j.kscej.2025.100253
57. Dynamics of an outburst flood originating from a small and high-altitude glacier in the Arid Andes of Chile P. Iribarren Anacona et al. https://doi.org/10.1007/s11069-018-3376-y
58. Propagation analysis and risk assessment of an active complex landslide using a Monte Carlo statistical approach L. Brezzi et al. https://doi.org/10.1088/1755-1315/833/1/012130
59. Debris Flow Modelling Using RAMMS Model in the Alpine Environment With Focus on the Model Parameters and Main Characteristics M. Mikoš & N. Bezak https://doi.org/10.3389/feart.2020.605061
60. Modeling debris flow initiation and run-out in recently burned areas using data-driven methods R. Melo & J. Zêzere https://doi.org/10.1007/s11069-017-2921-4
61. A Comprehensive Review on Debris Flow Landslide Assessment Using Rapid Mass Movement Simulation (RAMMS) S. Kumar et al. https://doi.org/10.1007/s10706-024-02887-1
62. Forecasting inundation from debris flows that grow volumetrically during travel, with application to the Oregon Coast Range, USA M. Reid et al. https://doi.org/10.1016/j.geomorph.2016.07.039
63. Controls on the formation and size of potential landslide dams and dammed lakes in the Austrian Alps A. Argentin et al. https://doi.org/10.5194/nhess-21-1615-2021
64. Predictive simulation of concurrent debris flows: How slope failure locations affect predicted damage K. Yamanoi et al. https://doi.org/10.1111/jfr3.12776
65. Stochastic generation of multi-site daily precipitation for applications in risk management K. Breinl et al. https://doi.org/10.1016/j.jhydrol.2013.06.015
66. A Hydrodynamic-Based Robust Numerical Model for Debris Hazard and Risk Assessment Y. Kang et al. https://doi.org/10.3390/su13147955
67. Emulator-based global sensitivity analysis for flow-like landslide run-out models H. Zhao et al. https://doi.org/10.1007/s10346-021-01690-w
68. Anomalous Alpine fans: from the genesis to the present hazard E. De Finis et al. https://doi.org/10.1007/s10346-017-0894-8
69. Computationally-feasible uncertainty quantification in model-based landslide risk assessment A. Yildiz et al. https://doi.org/10.3389/feart.2022.1032438
70. Multi-hazard mitigation measures plan for Ischia Island after the November 26th, 2022, landslide and flood events G. Loffredo et al. https://doi.org/10.1016/j.ijdrr.2026.106406
71. A quantitative framework to assess the debris flow hazard at a catchment scale under climate change Z. Guo et al. https://doi.org/10.1002/esp.70278
72. Debris-Flow Hazard Assessment Considering Dynamic Characteristics Index with High-Resolution Topography in Duoxiongla Valley (China) S. Feng et al. https://doi.org/10.3390/rs18193290
73. Model-based approach for design and performance evaluation of works controlling stony debris flows with an application to a case study at Rovina di Cancia (Venetian Dolomites, Northeast Italy) M. Bernard et al. https://doi.org/10.1016/j.scitotenv.2019.05.468
74. Modelling future lahars controlled by different volcanic eruption scenarios at Cotopaxi (Ecuador) calibrated with the massively destructive 1877 lahar T. Frimberger et al. https://doi.org/10.1002/esp.5056
75. A comparative analysis of attabad landslide on january 4, 2010, using two numerical models H. Gardezi et al. https://doi.org/10.1007/s11069-021-04593-0
76. Analysis of Debris Flow Protective Barriers Using the Coupled Eulerian Lagrangian Method S. Sha et al. https://doi.org/10.3390/geosciences14080198
77. An integrated hydrodynamic model for runoff-generated debris flows with novel formulation of bed erosion and deposition X. Xia et al. https://doi.org/10.1016/j.enggeo.2023.107310
78. Numerical Modelling of Debris Flows for Simulation-Based Decision Support: An Indian Perspective M. Abraham et al. https://doi.org/10.1007/s40098-024-00988-5
79. Modeling the Propagation of Landslide-Derived Flow in Tropical Mountain Basins: La Liboriana and La Argelia Basins (Colombia) M. Hurtado et al. https://doi.org/10.1177/11786221261416964
80. Development of an advanced numerical simulation program considering debris flow and driftwood behavior T. Kang et al. https://doi.org/10.1016/j.envsoft.2025.106366
81. A rapid run-out assessment methodology for the 2024 Wayanad debris flow V. Krishnapriya et al. https://doi.org/10.1038/s44304-024-00044-5
82. Entrainment of bed material by Earth‐surface mass flows: Review and reformulation of depth‐integrated theory R. Iverson & C. Ouyang https://doi.org/10.1002/2013RG000447
83. The importance of entrainment and bulking on debris flow runout modeling: examples from the Swiss Alps F. Frank et al. https://doi.org/10.5194/nhess-15-2569-2015
84. Channel position-dependent erosivity of steep debris flows combining gravitational and erosive processes: Towards predictive modeling V. Stammberger et al. https://doi.org/10.1016/j.enggeo.2026.108919
85. Hazard driven debris flow simulation and risk evaluation in the Karakorum Mountain ranges, Northern Pakistan N. Shah et al. https://doi.org/10.26599/JGSE.2026.9280082
86. Bridges in small basins with intense sediment transport and debris flow M. Larcher et al. https://doi.org/10.1016/j.prostr.2024.09.088
87. Analysing debris flow impact in Upper Svaneti, Georgia: investigating triggering factors and runout dynamics A. Mehrpajouh & J. Engel https://doi.org/10.1080/19386362.2025.2574594
88. Numerical Simulation of Debris Flow and Driftwood with Entrainment of Sediment T. Kang et al. https://doi.org/10.3390/w14223673
89. Back Analysis of a Real Debris Flow, the Morino-Rendinara Test Case (Italy), Using RAMMS Software A. Pasculli et al. https://doi.org/10.3390/land13122078
90. Development and Application of an Automated Check-Dam Scenario Analysis Program for Debris-Flow Hazards S. Lee et al. https://doi.org/10.9798/KOSHAM.2026.26.3.33
91. Topographic uncertainty quantification for flow-like landslide models via stochastic simulations H. Zhao & J. Kowalski https://doi.org/10.5194/nhess-20-1441-2020
92. Investigation of potential debris flows above the Koroška Bela settlement, NW Slovenia, from hydro-technical and conceptual design perspectives N. Bezak et al. https://doi.org/10.1007/s10346-021-01774-7
93. Debris‐flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path A. Könz et al. https://doi.org/10.1002/esp.5868
94. Multi-Source Glacial Lake Outburst Flood Hazard Assessment and Mapping for Huaraz, Cordillera Blanca, Peru H. Frey et al. https://doi.org/10.3389/feart.2018.00210
95. Mass exchange between geophysical flows and beds: Idealised computational modelling using a Herschel-Bulkley rheology S. Goodwin et al. https://doi.org/10.1051/e3sconf/202341501008
96. Numerical modeling of a high magnitude debris-flow event occurred in Brazil C. dos Santos Corrêa et al. https://doi.org/10.1007/s11069-024-06728-5
97. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al. https://doi.org/10.1007/s12303-017-0034-4
98. Experimental study on impact and deposition behaviours of multiple surges of channelized debris flow on a flexible barrier D. Tan et al. https://doi.org/10.1007/s10346-020-01378-7
99. Assessing strategies to mitigate debris-flow risk in Abancay province, south-central Peruvian Andes C. Rodríguez-Morata et al. https://doi.org/10.1016/j.geomorph.2019.06.012
100. Deciphering controls for debris‐flow erosion derived from a LiDAR‐recorded extreme event and a calibrated numerical model (Roßbichelbach, Germany) A. Dietrich & M. Krautblatter https://doi.org/10.1002/esp.4578
101. Debris-flow modeling at Meretschibach and Bondasca catchments, Switzerland: sensitivity testing of field-data-based entrainment model F. Frank et al. https://doi.org/10.5194/nhess-17-801-2017
102. Engineering geological investigation and runout modelling of the disastrous Taliye landslide, Maharashtra, India of 22 July 2021 B. Peethambaran et al. https://doi.org/10.1007/s11069-023-05985-0
103. A robust debris-flow and GLOF risk management strategy for a data-scarce catchment in Santa Teresa, Peru H. Frey et al. https://doi.org/10.1007/s10346-015-0669-z
104. Composition and slope controls on runout hazard in mine overburden dump debris flows: flume experiments and dimensionless flow regime analysis A. Tiwari et al. https://doi.org/10.1007/s10064-026-05057-0
105. Debris flows in Lebai gully along the Yarlung Tsangpo River in Tibet: characterization, causes, and dynamic prediction of potential debris flows M. Zhang et al. https://doi.org/10.1007/s12665-022-10694-1
106. A new statistical method to assess potential debris flow erosion G. Bertoldi et al. https://doi.org/10.1051/e3sconf/202341507003