130 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. Rock avalanche runout prediction using stochastic analysis of a regional dataset A. Mitchell et al. 10.1007/s10346-019-01331-3
3. Modelling of mobility of Rissa landslide and following tsunami Z. Liu et al. 10.1016/j.compgeo.2021.104388
4. Modelling of debris-flow susceptibility and propagation: a case study from Northwest Himalaya H. Daud et al. 10.1007/s11629-023-7966-0
5. 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
6. 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
7. 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
8. Analysis of Differences in Geomorphological Characteristics on Initiation of Landslides and Debris Flows S. Kang et al. 10.9798/KOSHAM.2015.15.2.249
9. 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
10. An overview of debris-flow mathematical modelling M. Trujillo-Vela et al. 10.1016/j.earscirev.2022.104135
11. 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
12. 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
13. 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
14. Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al. 10.1002/esp.5501
15. Debris flow triggering characterization through a comparative analysis among different mountain catchments R. Pastorello et al. 10.1016/j.catena.2019.104348
16. 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
17. An energy-based approach to predict debris flow mobility and analyze empirical relationships F. Federico & C. Cesali 10.1139/cgj-2015-0107
18. ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis B. Quan Luna et al. 10.1186/s40677-016-0064-7
19. Debris-Flow Hazard Assessments: A Practitioner's View M. Jakob 10.2113/EEG-D-20-00110
20. 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
21. Combined hillslope diffusion and sediment transport simulation applied to landscape dynamics modelling T. Salles & G. Duclaux 10.1002/esp.3674
22. A progressive flow-routing model for rapid assessment of debris-flow inundation A. Gorr et al. 10.1007/s10346-022-01890-y
23. Regional risk assessment of debris flows in China—An HRU-based approach Q. Zou et al. 10.1016/j.geomorph.2019.04.027
24. 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
25. 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
26. 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
27. A methodological framework for flood hazard assessment for land transport infrastructures C. Samela et al. 10.1016/j.ijdrr.2022.103491
28. A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties J. Liu et al. 10.3390/rs14030668
29. 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
30. Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. 10.3390/s19163451
31. Risk Assessment of Debris Flow at Regional Scale considering Catchment Area in Chuncheon, Korea G. Choi et al. 10.1007/s12205-021-0136-4
32. Runout Number: A New Metric for Landslide Runout Characterization C. Wallace & P. Santi 10.2113/EEG-D-20-00144
33. 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
34. 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
35. Prompt Quantitative Risk Assessment for Rain-Induced Landslides J. He et al. 10.1061/JGGEFK.GTENG-10980
36. 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
37. 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
38. 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges S. McDougall 10.1139/cgj-2016-0104
39. 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
40. Susceptibility Assessment of Debris Flows Coupled with Ecohydrological Activation in the Eastern Qinghai-Tibet Plateau H. Jiang et al. 10.3390/rs14061444
41. 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
42. Modelling rapid mass movements using the shallow water equations in Cartesian coordinates S. Hergarten & J. Robl 10.5194/nhess-15-671-2015
43. 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
44. Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway F. Qing et al. 10.3390/rs12182933
45. 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
46. Lahars and debris flows: Characteristics and impacts J. Thouret et al. 10.1016/j.earscirev.2019.103003
47. 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
48. Coupled model for simulation of landslides and debris flows at local scale D. Park et al. 10.1007/s11069-016-2150-2
49. 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
50. 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
51. A landscape scale model to predict post-fire debris flow impact zones T. Keeble et al. 10.1016/j.geomorph.2024.109175
52. Scoring system to predict landslide runout in the Pacific Northwest, USA C. Wallace et al. 10.1007/s10346-021-01839-7
53. 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
54. GIS-based assessment of debris flow hazards in Kulekhani Watershed, Nepal B. Paudel et al. 10.1007/s11069-020-03867-3
55. Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster H. Miura 10.3390/rs11091096
56. 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
57. Effect of Boulder Size on Debris Flow Impact Pressure Using a CFD-DEM Numerical Model R. Chehade et al. 10.3390/geosciences12050188
58. 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
59. 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
60. GIS tools for preliminary debris-flow assessment at regional scale M. Cavalli et al. 10.1007/s11629-017-4573-y
61. r.randomwalk v1, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmd-8-4027-2015
62. Debris-flow risk-to-life: Preliminary screening T. Davies et al. 10.1016/j.ijdrr.2023.104158
63. 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
64. Multihazards Scenario Generator: A Network‐Based Simulation of Natural Disasters A. Dunant et al. 10.1111/risa.13723
65. International Frameworks for Disaster Risk Reduction: Useful Guidance for Sustainable Mountain Development? M. Zimmermann & M. Keiler 10.1659/MRD-JOURNAL-D-15-00006.1
66. Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China Y. Li et al. 10.1007/s12583-022-1803-1
67. Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. 10.1007/s11629-018-5098-8
68. Regional-scale landslide risk assessment on Mt. Umyeon using risk index estimation B. Nguyen & Y. Kim 10.1007/s10346-021-01622-8
69. 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
70. 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
71. The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes V. Wichmann 10.5194/gmd-10-3309-2017
72. 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
73. 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
74. 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
75. 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
76. 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
77. 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
78. Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. 10.1007/s00477-021-02093-y
79. 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
80. A multivariate statistical method for susceptibility analysis of debris flow in southwestern China F. Ji et al. 10.5194/nhess-20-1321-2020
81. 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
82. 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
83. 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
84. 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
85. Dynamic hazard assessment of group-occurring debris flows based on a coupled model Y. Nie et al. 10.1007/s11069-021-04558-3
86. 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
87. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
88. The SWADE model for landslide dating in time series of optical satellite imagery S. Fu et al. 10.1007/s10346-022-02012-4
89. 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
90. 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
91. Operational Estimation of Landslide Runout: Comparison of Empirical and Numerical Methods M. Peruzzetto et al. 10.3390/geosciences10110424
92. An Integrated Approach for Simulating Debris-Flow Dynamic Process Embedded with Physically Based Initiation and Entrainment Models Z. Han et al. 10.3390/w15081592
93. Integrating dendrochronology and geomatics to monitor natural hazards and landscape changes M. Ciolli et al. 10.1007/s12518-018-0236-0
94. A new approach to assess landslide susceptibility based on slope failure mechanisms Q. Zou et al. 10.1016/j.catena.2021.105388
95. National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
96. Study on the Prediction of Debris Flow Risk Using LS-RAPID N. Kim et al. 10.9798/KOSHAM.2023.23.1.73
97. Mapping debris flow susceptibility based on watershed unit and grid cell unit: a comparison study S. Qin et al. 10.1080/19475705.2019.1604572
98. 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
99. 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
100. A novel approach of multi-hazard integrated zonation on the ancient Silk Road Q. Zou et al. 10.1016/j.ijdrr.2022.103325
101. 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
102. 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
103. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event D. Park et al. 10.5194/nhess-13-2833-2013
104. A progressive entrainment runout model for debris flow analysis and its application C. Kang & D. Chan 10.1016/j.geomorph.2018.09.003
105. Debris Flow Assessment in the Gaizi-Bulunkou Section of Karakoram Highway N. Jiang et al. 10.3389/feart.2021.660579
106. The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
107. Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
108. 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
109. 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
110. 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
111. 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
112. Gis-Based Assessment of Debris Flow Runout in Kulekhani Watershed, Nepal B. Paudel et al. 10.1007/s10706-020-01655-1
113. Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al. 10.5194/nhess-22-1825-2022
114. 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
115. Probabilistic cascading multi-hazard risk assessment methodology using graph theory, a New Zealand trial A. Dunant et al. 10.1016/j.ijdrr.2020.102018
116. Morphometry and Debris-Flow Susceptibility Map in Mountain Drainage Basins of the Vallo di Diano, Southern Italy S. Giano et al. 10.3390/rs13163254
117. Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization M. Sturzenegger et al. 10.2113/EEG-D-20-00006
118. Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
119. 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
120. 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
121. 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
122. 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
123. 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
124. Development and Application of Urban Landslide Vulnerability Assessment Methodology Reflecting Social and Economic Variables Y. Park et al. 10.1155/2016/4572498
125. DebrisFlow Predictor: an agent-based runout program for shallow landslides R. Guthrie & A. Befus 10.5194/nhess-21-1029-2021
126. Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size B. Žabota et al. 10.3390/app11041461
127. Snow avalanche hazard of the Krkonoše National Park, Czech Republic J. Blahut et al. 10.1080/17445647.2016.1262794
128. 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
129. Heavy Rainfall Events and Mass Movements in the Funchal Area (Madeira, Portugal): Spatial Analysis and Susceptibility Assessment S. Lopes et al. 10.3390/atmos11010104
130. 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