A novel approach for quantifying similarities between different debris flow sites using field investigations and numerical modelling

Abraham, MT; Satyam, N; Pradhan, B

A novel approach for quantifying similarities between different debris flow sites using field investigations and numerical modelling

Abraham, MT Satyam, N Pradhan, B

Permalink

Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Terra Nova, 2023
Issue Date:: 2023-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (5.45 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Abraham, MT
dc.contributor.author	Satyam, N
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.date.accessioned	2023-11-08T00:04:59Z
dc.date.available	2023-11-08T00:04:59Z
dc.date.issued	2023-01-01
dc.identifier.citation	Terra Nova, 2023
dc.identifier.issn	0954-4879
dc.identifier.issn	1365-3121
dc.identifier.uri	http://hdl.handle.net/10453/173216
dc.description.abstract	Debris flows are geomorphological processes that affect the landscape evolution process of any region. In this study, an integrated methodology is proposed to identify the chance of further debris flows and quantify the similarities between debris flow locations, materials and rheology, using field and laboratory investigations and remote sensing data. The method was tested for four failure-triggered debris flow sites in the Western Ghats of India, using dimensionless parametric similarity values ranging from 0 to 1. The maximum parametric similarity was observed as 0.84 when comparing the flow accumulation values of Sites 3 and 4, and the maximum overall site similarity was 0.68. The calibrated rheological parameters of one site were found to be satisfactory in modelling the shape of debris flow at all other sites. The findings can be used to identify similar hotspots in the region and to simulate debris flows for quantitative hazard assessment.
dc.language	en
dc.publisher	Wiley
dc.relation.ispartof	Terra Nova
dc.relation.isbasedon	10.1111/ter.12679
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	04 Earth Sciences
dc.subject.classification	Geochemistry & Geophysics
dc.subject.classification	37 Earth sciences
dc.title	A novel approach for quantifying similarities between different debris flow sites using field investigations and numerical modelling
dc.type	Journal Article
utslib.for	04 Earth Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
dc.date.updated	2023-11-08T00:04:57Z
pubs.publication-status	Published

Abstract:

Debris flows are geomorphological processes that affect the landscape evolution process of any region. In this study, an integrated methodology is proposed to identify the chance of further debris flows and quantify the similarities between debris flow locations, materials and rheology, using field and laboratory investigations and remote sensing data. The method was tested for four failure-triggered debris flow sites in the Western Ghats of India, using dimensionless parametric similarity values ranging from 0 to 1. The maximum parametric similarity was observed as 0.84 when comparing the flow accumulation values of Sites 3 and 4, and the maximum overall site similarity was 0.68. The calibrated rheological parameters of one site were found to be satisfactory in modelling the shape of debris flow at all other sites. The findings can be used to identify similar hotspots in the region and to simulate debris flows for quantitative hazard assessment.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/173216