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31. 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
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54. 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
55. Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway F. Qing et al. 10.3390/rs12182933
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61. 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
62. Urban debris flow vulnerability map: an application to the metropolitan cities in Korea Y. Park et al. 10.5004/dwt.2018.21822
63. 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
64. Post-wildfire debris-flow runout mapping using geospatial analysis S. Praskievicz & R. Sigdel 10.1007/s11069-024-06684-0
65. 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
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