Guidelines for the geologic evaluation of debris-flow hazards on alluvial fans in Utah

2005 ◽  
Keyword(s):  
Debris Flow ◽  
Alluvial Fans

Identification of alluvial fans susceptible to debris-flow hazards

Landslides ◽  
2010 ◽  
Vol 8 (2) ◽  
pp. 183-194 ◽  
Author(s):  
Andrew Welsh ◽  
Tim Davies
Keyword(s):  
Debris Flow ◽  
Alluvial Fans

Surficial patterns of debris flow deposition on alluvial fans in Death Valley, CA using airborne laser swath mapping data

Geomorphology ◽  
2006 ◽  
Vol 74 (1-4) ◽  
pp. 152-163 ◽  
Author(s):  
Dennis M. Staley ◽  
Thad A. Wasklewicz ◽  
Jacek S. Blaszczynski
Keyword(s):  
Debris Flow ◽  
Death Valley ◽  
Alluvial Fans ◽  
Mapping Data ◽  
Airborne Laser ◽  
Swath Mapping ◽  
Airborne Laser Swath Mapping

scholarly journals Analysis of relationships among coastal alluvial fans and their contributing catchments in North Evoikos Gulf (Central Greece).

2016 ◽  
Vol 47 (1) ◽  
pp. 344 ◽  
Author(s):  
K. Valkanou ◽  
E. Karymbalis ◽  
D. Papanastassiou ◽  
K. Gaki-Papanastassiou ◽  
P. Giles
Keyword(s):  
Debris Flow ◽  
East Coast ◽  
Drainage Basin ◽  
Active Faults ◽  
Alluvial Fans ◽  
Drainage Basins ◽  
Central Greece ◽  
Depositional Processes ◽  
Tectonically Active ◽  
The Relationship

This paper deals with the morphometric analysis of 42, late Holocene, coastal alluvial fans located along the coasts of the tectonically active North Evoikos Gulf in central Greece. Thirty six of the fans have been formed by streams that discharge along the east coast of the Gulf (Evia Island) while the rest are located on the opposite side (Continental Greece). Selected morphometric parameters of the drainage basins were measured using topographic maps at the scale of 1:50,000 while those of the fans were derived from detailed topographic diagrams at the scale of 1:5,000 utilizing ESRI’s ArcGIS9.3 software. Fans were classified into four groups according to the primary depositional processes (fluvial and/or debris flow). Another classification criterion was the relationship between the location of the fan-catchment system and the local tectonic patterns (active faults). Fan-basin morphometric relationships for each fan group were also investigated. A strong positive relation was found between the size of the fan and the drainage basin area while the correlation between drainage area and fan slope was negative. Large catchments located near fault terminations have formed gently sloping fans dominated by fluvial processes, whereas torrents with small rough drainage basins, developed on the footwall, have formed steep fans likely dominated by debris-flow along the east coast of the Gulf

IDENTIFICATION OF ALLUVIAL FANS PRONE TO DEBRIS-FLOW HAZARD IN NORTHWESTERN BANKS PENINSULA

2019 ◽  
Author(s):  
Caroline H. Nellis ◽  
◽  
Josh W. Borella ◽  
Josh W. Borella ◽  
Josh W. Borella
Keyword(s):  
Debris Flow ◽  
Alluvial Fans ◽  
Debris Flow Hazard

scholarly journals Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

2021 ◽  
Vol 13 (9) ◽  
pp. 1711
Author(s):  
Matej Babič ◽  
Dušan Petrovič ◽  
Jošt Sodnik ◽  
Božo Soldo ◽  
Marko Komac ◽  
...  
Keyword(s):  
Machine Learning ◽  
Debris Flow ◽  
Human Life ◽  
Alluvial Fans ◽  
Digital Elevation ◽  
Elevation Model ◽  
Flow Activity ◽  
Geomorphometric Parameters

Alluvial (torrential) fans, especially those created from debris-flow activity, often endanger built environments and human life. It is well known that these kinds of territories where human activities are favored are characterized by increasing instability and related hydrological risk; therefore, treating the problem of its assessment and management is becoming strongly relevant. The aim of this study was to analyze and model the geomorphological aspects and the physical processes of alluvial fans in relation to the environmental characteristics of the territory for classification and prediction purposes. The main geomorphometric parameters capable of describing complex properties, such as relative fan position depending on the neighborhood, which can affect their formation or shape, or properties delineating specific parts of fans, were identified and evaluated through digital elevation model (DEM) data. Five machine learning (ML) methods, including a hybrid Euler graph ML method, were compared to analyze the geomorphometric parameters and physical characteristics of alluvial fans. The results obtained in 14 case studies of Slovenian torrential fans, validated with data of the empirical model proposed by Bertrand et al. (2013), confirm the validity of the developed method and the possibility to identify alluvial fans that can be considered as debris-flow prone.

Social-ecological system resilience of debris flow alluvial fans in the Awang basin, China

2021 ◽  
Vol 286 ◽  
pp. 112230
Author(s):  
Songtang He ◽  
Daojie Wang ◽  
Yong Li ◽  
Peng Zhao ◽  
Huijuan Lan ◽  
...  
Keyword(s):  
Debris Flow ◽  
Ecological System ◽  
Alluvial Fans ◽  
Social Ecological ◽  
System Resilience
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