Modeling and classification of alluvial fans with DEMs and machine learning methods : a case study of Slovenian torrential fans

Babič, Matej (avtor), Petrovič, Dušan (avtor), Sodnik, Jošt (avtor), Soldo, Božidar (avtor), Komac, Marko (avtor), Chernieva, Olena (avtor), Kovačič, Miha (avtor), Mikoš, Matjaž (avtor), Calì, Michele (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: digital elevation model, torrential fan surfaces, geomorphometric parameters, graph method, debris flows
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 18 str.
• Številčenje: Vol. 13, iss. 9, art. 1711
• PID: 20.500.12556/RUL-127268
• UDK: 528.7:556(497.4)
• ISSN pri članku: 2072-4292
• DOI: 10.3390/rs13091711
• COBISS.SI-ID: 61449731
• Datum objave v RUL: 01.06.2021

Gradivo je del revije

• Naslov: Remote sensing
• Skrajšan naslov: Remote sens.
• Založnik: MDPI
• ISSN: 2072-4292
• COBISS.SI-ID: 32345133

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.05.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: digitalni model reliefa, DMR, daljinsko zaznavanje, hidrologija, struktura hudourniških vršajev, geomorfometrični parametri, metoda grafov, drobirski tokovi