Artificial Neural Network-based prediction of glacial debris flows in the ParlungZangbo Basin, southeastern Tibetan Plateau, China

Accurate prediction on geological hazards can prevent disaster events in advance and greatly reduce property losses and life casualties. Glacial debris flows are the most serious hazards in southeastern Tibet in China due to their complexity in formation mechanism and the difficulty in prediction. D...

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Veröffentlicht in:	Journal of mountain science 2021, Vol.18 (1), p.51-67
Hauptverfasser:	Tang, Wang, Ding, Hai-tao, Chen, Ning-sheng, Ma, Shang-Chang, Liu, Li-hong, Wu, Kang-lin, Tian, Shu-feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Casualties Complexity Debris flow Detritus Disasters Earth and Environmental Science Earth Sciences Ecology Emergency preparedness Environment Geography Geological hazards Geology Glacial drift Glaciers Gullies Landslides & mudslides Mathematical models Meteorological data Model accuracy Neural networks Original Article Plateaus Predictions Probability theory Rain Rainfall River basins Statistical analysis Statistical methods
Online-Zugang:	Volltext
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