183 citations as recorded by crossref.

1. Development of an initiation criterion for debris flows based on local topographic properties and applicability assessment at a regional scale S. Kang et al. 10.1016/j.enggeo.2017.09.017
2. Modelling of debris-flow susceptibility and propagation: a case study from Northwest Himalaya H. Daud et al. 10.1007/s11629-023-7966-0
3. Development of structural type-based physical vulnerability curves to debris flow using numerical analysis and regression model J. Lee et al. 10.1016/j.ijdrr.2024.104431
4. Mapping release and propagation areas of permafrost-related rock slope failures in the French Alps: A new methodological approach at regional scale M. Cathala et al. 10.1016/j.geomorph.2023.109032
5. Probabilistic evaluation of landslide influence zones considering stratigraphic dips and nonstationarity of soil properties J. Li et al. 10.1016/j.compgeo.2024.106815
6. Analysis of Differences in Geomorphological Characteristics on Initiation of Landslides and Debris Flows S. Kang et al. 10.9798/KOSHAM.2015.15.2.249
7. An overview of debris-flow mathematical modelling M. Trujillo-Vela et al. 10.1016/j.earscirev.2022.104135
8. Debris flow susceptibility assessment based on an empirical approach in the central region of South Korea S. Kang & S. Lee 10.1016/j.geomorph.2018.01.025
9. Simulating Debris Flow and Levee Formation in the 2D Shallow Flow Model D‐Claw: Channelized and Unconfined Flow R. Jones et al. 10.1029/2022EA002590
10. Empirical quantification of rockfall propagation probability: Robust determination of an appropriate topographic descriptor M. Peruzzetto et al. 10.1016/j.enggeo.2025.108370
11. Debris flow triggering characterization through a comparative analysis among different mountain catchments R. Pastorello et al. 10.1016/j.catena.2019.104348
12. Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design P. Lima et al. 10.1016/j.geomorph.2023.108638
13. An energy-based approach to predict debris flow mobility and analyze empirical relationships F. Federico & C. Cesali 10.1139/cgj-2015-0107
14. Debris-Flow Hazard Assessments: A Practitioner's View M. Jakob 10.2113/EEG-D-20-00110
15. Governance strategies and tools towards the improvement of emergency management of natural disasters in transboundary areas D. Bignami et al. 10.1016/j.ijdrr.2024.104704
16. Combined hillslope diffusion and sediment transport simulation applied to landscape dynamics modelling T. Salles & G. Duclaux 10.1002/esp.3674
17. A progressive flow-routing model for rapid assessment of debris-flow inundation A. Gorr et al. 10.1007/s10346-022-01890-y
18. Modelling debris flood propagation in scarce data terrain, case study in the Colombian Andes F. Cardona et al. 10.1016/j.jsames.2025.105660
19. The roles and seismic expressions of turbidites and mass transport deposits using stratigraphic forward modeling and seismic forward modeling L. Wan et al. 10.1016/j.jseaes.2022.105110
20. Assessment of Debris-Flow Erosion and Deposit Areas by Morphometric Analysis and a GIS-Based Simplified Procedure: A Case Study of Paupisi in the Southern Apennines G. Grelle et al. 10.3390/su11082382
21. A methodological framework for flood hazard assessment for land transport infrastructures C. Samela et al. 10.1016/j.ijdrr.2022.103491
22. A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties J. Liu et al. 10.3390/rs14030668
23. Predicting debris flow pathways using volume-based thresholds for effective risk assessment A. Rajaneesh et al. 10.1038/s44304-024-00055-2
24. Changing significance of landslide Hazard and risk after the 2015 Mw 7.8 Gorkha, Nepal Earthquake N. Rosser et al. 10.1016/j.pdisas.2021.100159
25. Risk Assessment of Debris Flow at Regional Scale considering Catchment Area in Chuncheon, Korea G. Choi et al. 10.1007/s12205-021-0136-4
26. Performance and sensitivity analysis of the Morpho2DH model in extreme events in southern Brazil A. Franck & M. Kobiyama 10.1016/j.jsames.2024.105275
27. Modelling Spatiotemporal Dynamics of Large Wood Recruitment, Transport, and Deposition at the River Reach Scale during Extreme Floods A. Zischg et al. 10.3390/w10091134
28. Topographic controls on landslide mobility: modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico D. Brien et al. 10.5194/nhess-25-1229-2025
29. Classic, modern, and physics-based rheological laws for geophysical granular flows in a landslide hazard chain M. Kamali Zarch et al. 10.1016/j.earscirev.2025.105204
30. Numerical simulation for run-out extent of debris flows using an improved cellular automaton model Z. Han et al. 10.1007/s10064-016-0902-6
31. 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges S. McDougall 10.1139/cgj-2016-0104
32. Process-driven susceptibility assessment of glacial lake outburst debris flow in the Himalayas under climate change B. Zhou et al. 10.1016/j.accre.2023.11.002
33. Modelling rapid mass movements using the shallow water equations in Cartesian coordinates S. Hergarten & J. Robl 10.5194/nhess-15-671-2015
34. Lahars and debris flows: Characteristics and impacts J. Thouret et al. 10.1016/j.earscirev.2019.103003
35. An interpretable framework for the hazard assessment of debris flow based on an improved AHP-EWM method and the SHAP model: a case study of Heishuiwan gully Y. Ji et al. 10.1007/s10064-023-03462-3
36. Lahar flow characteristic of Semeru Volcano based on Flow-R Model and its countermeasure M. Munir et al. 10.1088/1755-1315/1343/1/012032
37. Post-wildfire debris-flow runout mapping using geospatial analysis S. Praskievicz & R. Sigdel 10.1007/s11069-024-06684-0
38. Probabilistic Analysis of the Obstruction of Water Sources Due to the Occurrence of Rainfall-Triggered Mass Movements L. Giraldo et al. 10.1088/1755-1315/906/1/012040
39. Evaluation of spatiotemporal effects of soil depth on shallow landslides and debris flows via coupled numerical analysis S. Lee et al. 10.1016/j.pdisas.2025.100470
40. Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm Y. Li et al. 10.3390/w9090669
41. A landscape scale model to predict post-fire debris flow impact zones T. Keeble et al. 10.1016/j.geomorph.2024.109175
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. 10.1016/j.enggeo.2022.106918
43. Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster H. Miura 10.3390/rs11091096
44. Robustness Evaluation of the Probability-Based Htca Model for Simulating Debris Flow Run-Out Extent: A Case Study of the 2010 Hongchun Event in China Y. Ma et al. 10.2139/ssrn.4005765
45. Effect of Boulder Size on Debris Flow Impact Pressure Using a CFD-DEM Numerical Model R. Chehade et al. 10.3390/geosciences12050188
46. Comprehensive risk evaluation in Rapti Valley, Nepal: A multi-hazard approach S. Bhatta & B. Adhikari 10.1016/j.pdisas.2024.100346
47. Identifying human activities and rainfall impacts in landslide: a case X. Wang et al. 10.1007/s11069-025-07728-9
48. Dating of avalanches in Pirin mountains in Bulgaria by tree-ring analysis of Pinus peuce and Pinus heldriechii trees M. Panayotov & N. Tsvetanov 10.1016/j.dendro.2024.126206
49. r.randomwalk v1, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmd-8-4027-2015
50. Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior Z. Han et al. 10.1016/j.watres.2021.116872
51. Optimisation and application of a high-resolution shallow landslide model at regional scale C. Schaller et al. 10.1007/s11069-025-07701-6
52. International Frameworks for Disaster Risk Reduction: Useful Guidance for Sustainable Mountain Development? M. Zimmermann & M. Keiler 10.1659/MRD-JOURNAL-D-15-00006.1
53. Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China Y. Li et al. 10.1007/s12583-022-1803-1
54. Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. 10.1007/s11629-018-5098-8
55. Predicting the thickness of shallow landslides in Switzerland using machine learning C. Schaller et al. 10.5194/nhess-25-467-2025
56. Modeling debris flow initiation and run-out in recently burned areas using data-driven methods R. Melo & J. Zêzere 10.1007/s11069-017-2921-4
57. Numerical simulation of rainfall-induced debris flow in the Hongchun gully based on the coupling of the LHT model and the Pudasaini model H. Yin et al. 10.1007/s11069-023-05956-5
58. Évaluation de l’aléa glissements de terrain : état de l’art et perspectives pour la cartographie réglementaire en France Y. Thiery & M. Terrier 10.1051/geotech/2019003
59. Building risk amplification effect under loess landslides-hydraulic erosion-debris flow cascade in China Y. Chen et al. 10.1016/j.ijdrr.2024.105061
60. Elementary analysis on the bed-sediment entrainment by debris flow and its application using the TopFlowDF model Z. Han et al. 10.1080/19475705.2014.966868
61. Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations Y. Thiery et al. 10.1016/j.ijdrr.2020.101562
62. Physically based deterministic rockfall hazard assessment integrating multi-failure modes at large scale: A case study of Tiefeng Township, Chongqing, China J. Du et al. 10.1016/j.jrmge.2024.12.023
63. Risk Assessment and Control of Geological Hazards in Towns of Complex Mountainous Areas Based on Remote Sensing and Geological Survey W. Ding et al. 10.3390/w15183170
64. Simulating the Extent of Landslide Damage using LAHARZ: A Case Study for Yecheon-gun, Gyeongsangbuk-do J. Kim & H. Kim 10.11628/ksppe.2025.28.1.35
65. Combination of statistical and conceptual approaches for debris-flow susceptibility modelling at a regional scale, British Columbia, Canada T. Bornaetxea et al. 10.1016/j.catena.2025.109044
66. Potential rock fall source areas identification and rock fall propagation in the province of Potenza territory using an empirically distributed approach L. Losasso et al. 10.1007/s10346-017-0807-x
67. A multivariate statistical method for susceptibility analysis of debris flow in southwestern China F. Ji et al. 10.5194/nhess-20-1321-2020
68. Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye) M. Komu et al. 10.3390/ijgi13030084
69. 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
70. DFLOWZ: A free program to evaluate the area potentially inundated by a debris flow M. Berti & A. Simoni 10.1016/j.cageo.2014.02.002
71. Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions U. Durlević et al. 10.3390/ijgi13090315
72. An Integrated Approach for Simulating Debris-Flow Dynamic Process Embedded with Physically Based Initiation and Entrainment Models Z. Han et al. 10.3390/w15081592
73. The dynamic threat from landslides following large continental earthquakes K. Arrell et al. 10.1371/journal.pone.0308444
74. Integrating dendrochronology and geomatics to monitor natural hazards and landscape changes M. Ciolli et al. 10.1007/s12518-018-0236-0
75. Tree-Based Machine Learning and Flow Simulation for Debris Flow Susceptibility, Runout Propagation, and Dynamics in the Higher Himalayas H. Daud et al. 10.1007/s11004-025-10196-3
76. Study on the Prediction of Debris Flow Risk Using LS-RAPID N. Kim et al. 10.9798/KOSHAM.2023.23.1.73
77. A novel approach of multi-hazard integrated zonation on the ancient Silk Road Q. Zou et al. 10.1016/j.ijdrr.2022.103325
78. Integrating expert opinion with modelling for quantitative multi-hazard risk assessment in the Eastern Italian Alps L. Chen et al. 10.1016/j.geomorph.2016.07.041
79. Geospatial modeling of snow avalanches on the Sar Mountains, Balkan Peninsula U. Durlevic 10.2298/GSGD2501163D
80. Debris Flow Assessment in the Gaizi-Bulunkou Section of Karakoram Highway N. Jiang et al. 10.3389/feart.2021.660579
81. Semi-quantitative risk assessment: From rainfall-induced landslides to the risk of persons in buildings H. Nguyen et al. 10.1007/s10064-025-04420-x
82. Multi-hazard risk assessment of Waling Municipality, Syangja, Nepal P. Rai et al. 10.1080/19475705.2025.2485327
83. The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
84. Application of different watershed units to debris flow susceptibility mapping: A case study of Northeast China J. Lv et al. 10.3389/feart.2023.1118160
85. Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
86. Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al. 10.5194/nhess-22-1825-2022
87. Optimizing the Numerical Simulation of Debris Flows: A New Exploration of the Hexagonal Cellular Automaton Method Z. Han et al. 10.3390/w16111536
88. Assessment of Potential Landslide Scenarios Using Morphometry, Geomorphological Constraints, and Run-Out Analysis: A Case Study from Central Apennines (Italy) G. Paglia et al. 10.3390/land14112109
89. Morphometry and Debris-Flow Susceptibility Map in Mountain Drainage Basins of the Vallo di Diano, Southern Italy S. Giano et al. 10.3390/rs13163254
90. Exploring best-fit parameters for propagation modeling of shallow landslides, using Flow-R J. Palacio et al. 10.1016/j.jsames.2025.105739
91. Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
92. Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan M. Atefi & H. Miura 10.3390/rs14153647
93. Semi-empirical prediction of dam height and stability of dams formed by rock slope failures in Norway T. Oppikofer et al. 10.5194/nhess-20-3179-2020
94. A landslide runout model for sediment transport, landscape evolution, and hazard assessment applications J. Keck et al. 10.5194/esurf-12-1165-2024
95. The seismic microzonation study of Pescara del Tronto (Central Italy) during and after the Central Italy earthquake sequence. M. Amanti et al. 10.1007/s10518-020-00927-8
96. Development and Application of Urban Landslide Vulnerability Assessment Methodology Reflecting Social and Economic Variables Y. Park et al. 10.1155/2016/4572498
97. DebrisFlow Predictor: an agent-based runout program for shallow landslides R. Guthrie & A. Befus 10.5194/nhess-21-1029-2021
98. Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size B. Žabota et al. 10.3390/app11041461
99. Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria M. Rahman et al. 10.1007/s11629-016-4220-z
100. An integrated assessment of landslide: Type, causes, pre-post scenario and risk impact of the Pettimudi incident in Idukki District, India A. S. et al. 10.1016/j.rines.2024.100050
101. Rock avalanche runout prediction using stochastic analysis of a regional dataset A. Mitchell et al. 10.1007/s10346-019-01331-3
102. Modelling of mobility of Rissa landslide and following tsunami Z. Liu et al. 10.1016/j.compgeo.2021.104388
103. Physically based probabilistic prediction of regional rainfall-induced shallow landslides: from initiation to runout analysis C. Wu et al. 10.1080/17499518.2024.2422481
104. Practices in disaster mitigation in the case of the 2015 Typhoon Koppu debris flows in Nueva Ecija, Philippines F. Llanes et al. 10.1007/s11069-022-05407-7
105. Highly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland F. Noël et al. 10.1007/s10346-023-02054-2
106. Identifikasi Longsor dan Pemodelan Probabilitas Jarak Luncur Longsor di Lereng Waduk Bener, Purworejo, Jawa Tengah E. Ningrum & G. Samodra 10.14710/jil.22.5.1242-1254
107. What drives landslide risk? Disaggregating risk analyses, an example from the Franz Josef Glacier and Fox Glacier valleys, New Zealand S. de Vilder et al. 10.5194/nhess-22-2289-2022
108. Dependence of debris flow susceptibility maps on sampling strategy with data-driven grid-based model N. Jiang et al. 10.1016/j.ecolind.2024.112534
109. Debris flow susceptibility and propagation modeling: a deep learning and flow-R framework M. Khalid et al. 10.1007/s10064-025-04496-5
110. Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al. 10.1002/esp.5501
111. ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis B. Quan Luna et al. 10.1186/s40677-016-0064-7
112. A comparative study on the integrative ability of the analytical hierarchy process, weights of evidence and logistic regression methods with the Flow-R model for landslide susceptibility assessment H. Do et al. 10.1080/19475705.2020.1846086
113. Mud and debris flow modeling as hazard assessment tool J. Páez Pedraza 10.11144/Javeriana.iued29.mdfm
114. Regional risk assessment of debris flows in China—An HRU-based approach Q. Zou et al. 10.1016/j.geomorph.2019.04.027
115. Parameter Analysis of Flow-R Model for Physical Vulnerability Assessment of Debris Flow Disaster in Regional Scale H. Kang & Y. Kim 10.9798/KOSHAM.2017.17.4.233
116. Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. 10.3390/s19163451
117. Runout Number: A New Metric for Landslide Runout Characterization C. Wallace & P. Santi 10.2113/EEG-D-20-00144
118. Environmental controls on the generation of submarine landslides in Arctic fjords: Insight from Pangnirtung Fjord, Baffin Island, Nunavut P. Sedore et al. 10.1016/j.margeo.2024.107290
119. A numerical model for cascading glacier mass flow analysis (GMFA): Erosion-deposition dynamics, phase changes, and multi-hazard chain transformations R. Jiang et al. 10.1016/j.jrmge.2025.02.010
120. Evaluations and proposals for the debris flow hazard mapping method of the GIDES Project G. Facuri & J. de Lima Picanço 10.1007/s10346-020-01480-w
121. Prompt Quantitative Risk Assessment for Rain-Induced Landslides J. He et al. 10.1061/JGGEFK.GTENG-10980
122. Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change M. Uzielli et al. 10.5194/nhess-18-3019-2018
123. Susceptibility Assessment of Debris Flows Coupled with Ecohydrological Activation in the Eastern Qinghai-Tibet Plateau H. Jiang et al. 10.3390/rs14061444
124. Susceptibility areas identification and risk assessment of debris flow using the Flow-R model: a case study of Basu County of Tibet H. Xu et al. 10.1186/s40677-022-00216-3
125. Semi-quantitative method to identify the vulnerable areas in terms of building aggregation for probable landslide runout at the regional scale: a case study from Soacha Province, Colombia A. Pradhan et al. 10.1007/s10064-019-01533-y
126. Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway F. Qing et al. 10.3390/rs12182933
127. Analogy between grid-based modeling of landslide and avalanche using GIS with surface flow analysis S. Kim & H. Park 10.1007/s10064-017-1144-y
128. Morphometric analysis of debris flow hazard and risk assessment in the mountain terrains of northern Pakistan using remote sensing and field data N. Shah et al. 10.1007/s12145-025-01807-y
129. Coupled model for simulation of landslides and debris flows at local scale D. Park et al. 10.1007/s11069-016-2150-2
130. Glacial debris flow susceptibility mapping based on combined models in the Parlung Tsangpo Basin, China Y. Zhou et al. 10.1007/s11629-023-8500-0
131. Urban debris flow vulnerability map: an application to the metropolitan cities in Korea Y. Park et al. 10.5004/dwt.2018.21822
132. Multi-hazard probability assessment in Quinali A Watershed, Albay, Philippines J. Mendoza et al. 10.1016/j.pdisas.2025.100408
133. Scoring system to predict landslide runout in the Pacific Northwest, USA C. Wallace et al. 10.1007/s10346-021-01839-7
134. GIS-based assessment of debris flow hazards in Kulekhani Watershed, Nepal B. Paudel et al. 10.1007/s11069-020-03867-3
135. Spatial model integration for shallow landslide susceptibility and its runout using a GIS-based approach in Yongin, Korea A. Pradhan et al. 10.1080/10106049.2016.1155658
136. Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al. 10.1007/s11069-022-05487-5
137. Debris flows analysis through quantitative evaluation of soil depth distribution under limited data S. Lee et al. 10.1016/j.catena.2024.108379
138. GIS tools for preliminary debris-flow assessment at regional scale M. Cavalli et al. 10.1007/s11629-017-4573-y
139. Integrating experimental and numerical approaches to simulate viscous debris flows using an HBP-SPH framework N. Pandey et al. 10.1038/s41598-025-01603-0
140. Debris-flow risk-to-life: Preliminary screening T. Davies et al. 10.1016/j.ijdrr.2023.104158
141. Multihazards Scenario Generator: A Network‐Based Simulation of Natural Disasters A. Dunant et al. 10.1111/risa.13723
142. Regional-scale landslide risk assessment on Mt. Umyeon using risk index estimation B. Nguyen & Y. Kim 10.1007/s10346-021-01622-8
143. 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. 10.1007/s11069-025-07342-9
144. The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes V. Wichmann 10.5194/gmd-10-3309-2017
145. Exploring the impact of introducing a physical model into statistical methods on the evaluation of regional scale debris flow susceptibility J. Sun et al. 10.1007/s11069-020-04498-4
146. Assessment of exposed elements in a changing built environment by using an integrated model of debris flow initiation and runout (Kalimpong region, Himalaya) S. Bera et al. 10.1007/s10064-021-02352-w
147. Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. 10.1007/s00477-021-02093-y
148. Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada A. Blais-Stevens & P. Behnia 10.5194/nhess-16-449-2016
149. Numerical modeling using an elastoplastic-adhesive discrete element code for simulating hillslope debris flows and calibration against field experiments A. Albaba et al. 10.5194/nhess-19-2339-2019
150. Susceptibility assessment of soil-water hazard chain on a small catchment in gully region of Loess Plateau: Implications for artificially-induced mountaintop removal filling valley and geoheritage H. Shu & F. Zhang 10.1016/j.geomorph.2023.108949
151. Prediction of road blockages caused by rainfall-induced landslides A. Lin et al. 10.1080/00288306.2025.2454565
152. Dynamic hazard assessment of group-occurring debris flows based on a coupled model Y. Nie et al. 10.1007/s11069-021-04558-3
153. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
154. The SWADE model for landslide dating in time series of optical satellite imagery S. Fu et al. 10.1007/s10346-022-02012-4
155. Modeling and mapping the environmental impact of debris flow hazard on alluvial fans for sustainable development in Bangga and Poi Villages, Sigi, Central Sulawesi M. Putra et al. 10.1088/1755-1315/1201/1/012028
156. Operational Estimation of Landslide Runout: Comparison of Empirical and Numerical Methods M. Peruzzetto et al. 10.3390/geosciences10110424
157. Mud and debris flow modeling as hazard assessment tool J. Páez Pedraza 10.11144/Javeriana.iued28.mdfm
158. A new approach to assess landslide susceptibility based on slope failure mechanisms Q. Zou et al. 10.1016/j.catena.2021.105388
159. National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
160. Mapping debris flow susceptibility based on watershed unit and grid cell unit: a comparison study S. Qin et al. 10.1080/19475705.2019.1604572
161. A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. 10.1016/j.jhydrol.2017.04.038
162. Debris flow susceptibility assessment based on topo-hydrological factors at different unit scales: a case study of Mentougou district, Beijing Z. Li et al. 10.1007/s12665-021-09665-9
163. Geometric approach based tool for shallow landslides propagation assessment (ShaLPA) at basin scale L. Falconi et al. 10.1016/j.envsoft.2025.106512
164. Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures B. Bout et al. 10.1016/j.envsoft.2018.03.017
165. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event D. Park et al. 10.5194/nhess-13-2833-2013
166. A progressive entrainment runout model for debris flow analysis and its application C. Kang & D. Chan 10.1016/j.geomorph.2018.09.003
167. Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
168. Comparing Flow-R, Rockyfor3D and RAMMS to Rockfalls from the Mel de la Niva Mountain: A Benchmarking Exercise F. Noël et al. 10.3390/geosciences13070200
169. Hybrid method for rainfall-induced regional landslide susceptibility mapping S. Wu et al. 10.1007/s00477-024-02753-9
170. Analysis of lateral sediment connectivity and its connection to debris flow intensity patterns at different return periods in the Fella River system in northeastern Italy N. Schopper et al. 10.1016/j.scitotenv.2018.12.288
171. Gis-Based Assessment of Debris Flow Runout in Kulekhani Watershed, Nepal B. Paudel et al. 10.1007/s10706-020-01655-1
172. Combining stratigraphic forward modeling and susceptibility mapping to investigate the origin and evolution of submarine canyons L. Wan et al. 10.1016/j.geomorph.2021.108047
173. Probabilistic cascading multi-hazard risk assessment methodology using graph theory, a New Zealand trial A. Dunant et al. 10.1016/j.ijdrr.2020.102018
174. Investigation and mapping of natural hazards areas related to mass movements in a geopark, in Southern Brazil A. Franck & M. Kobiyama 10.1016/j.jsames.2024.104926
175. Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization M. Sturzenegger et al. 10.2113/EEG-D-20-00006
176. HyLands 1.0: a hybrid landscape evolution model to simulate the impact of landslides and landslide-derived sediment on landscape evolution B. Campforts et al. 10.5194/gmd-13-3863-2020
177. Modeling the geomorphologic susceptibility to debris flow initiation with geomorphometric parameters and fuzzy logic in the mountainous region of Serra do Mar (state of Paraná, Brazil) R. Silveira & C. Silveira 10.1007/s11069-025-07264-6
178. r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows M. Mergili et al. 10.5194/gmd-10-553-2017
179. Risk assessment of glacial debris flow on highway under warming climate: A case study of Tianmo Gully in the southeastern Tibetan Plateau Y. Li et al. 10.1016/j.ecolind.2024.112606
180. Snow avalanche hazard of the Krkonoše National Park, Czech Republic J. Blahut et al. 10.1080/17445647.2016.1262794
181. Heavy Rainfall Events and Mass Movements in the Funchal Area (Madeira, Portugal): Spatial Analysis and Susceptibility Assessment S. Lopes et al. 10.3390/atmos11010104
182. On the criteria to create a susceptibility map to debris flow at a regional scale using Flow-R R. Pastorello et al. 10.1007/s11629-016-4077-1
183. Understanding the Future Dynamics of Kashang Glacial Lake in Indian Himalaya: Remote Sensing and Modeling-Based Hazard Assessment R. Kumar et al. 10.1007/s12524-025-02250-8