Landslide inventorization and susceptibility mapping in South Africa

Diop, Souleymane; Forbes, C.; Chiliza, S. G.

doi:10.1007/s10346-009-0186-z

Cited by 8 publications

(8 citation statements)

References 6 publications

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“…The spatial extent of the susceptibility assessment is comparable to the most extensive such assessment undertaken internationally (e.g. Castellanos Abella and Van Westen, 2007;Dio et al, 2010).…”

Section: Introductionmentioning

confidence: 85%

Landslide hazard and risk assessment on the Scottish road network

Winter

Harrison

Macgregor

et al. 2013

Proceedings of the Institution of Civil Engineers - Geotechnica

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A series of rainfall-induced debris flow events in August 2004 affected the Scottish road network, and at Glen Ogle 57 people were airlifted to safety. Although there were no major injuries, the social and economic impacts were significant, particularly the severance of access to and from relatively remote communities. A study was commissioned with the overall purpose of ensuring that the hazards posed by debris flows were systematically assessed and ranked, thus allowing actions at specific sites to be prioritised effectively within available budgets. The methodology used to undertake a pan-Scotland, GIS-based assessment of debris flow susceptibility is described, as is the approach taken to interpret the resulting imagery in order to establish those sections of road alignment subject to hazards. The hazard scores assigned using this approach were subsequently modified in the light of the results of site-specific inspections. The ranking of hazards based upon the potential exposure of road users to debris flow hazards and the potential socio-economic impacts is also described, and a map illustrates the locations of the highest hazard-ranking sites. The success of the system is briefly discussed in the context of subsequent events, and the approach to management and mitigation is outlined. IntroductionThe widely reported Scottish debris flow events of August 2004 were caused by rainfall substantially in excess of the norm, with some areas experiencing over three times the 30-year monthly average, and storm intensities of up to around 150mm/h (Winter et al., , 2006(Winter et al., , 2009a.Long-lasting and intense rainfall led to a large number of landslides, in the form of debris flows, in the hills of Scotland. Critically, some of these affected important parts of the major road network (Figure 1) linking not only towns and cities but also smaller, remote communities. Notable events occurred at the A83 between Glen Kinglas and to the north of Cairndow (9 August), the A9 to the north of Dunkeld (11 August), and the A85 at Glen Ogle (18 August) (Figure 2).Although there were no major injuries, 57 people were taken to safety by helicopter after being trapped between the two main debris flows on the A85 in Glen Ogle. However, the real impacts were social and economic, particularly the severance of access to and from relatively remote communities. The A83, carrying up to 5000 vehicles per day (all vehicles two-way, 24 h annual average daily traffic, AADT), was closed for slightly in excess of a day; the A9 (carrying 13 500 vehicles per day) was closed for 2 days prior to reopening, initially with single-lane working under convoy; and the A85 (carrying 5600 vehicles per day) was closed for 4 days. The traffic flow figures are for the most highly trafficked month of the year (July or August). Minimum flows occur in either January or February, and are roughly half those of the maxima, reflecting the importance of tourism and related seasonal industries to Scotland's economy. Substantial disruption was thus experienced by...

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Section: Introductionmentioning

confidence: 85%

Landslide hazard and risk assessment on the Scottish road network

Winter

Harrison

Macgregor

et al. 2013

Proceedings of the Institution of Civil Engineers - Geotechnica

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“…Environmental variables commonly identified as debris flow predisposing factors (D'Amato Avanzi et al 2004;Chen et al 2010;Ferentinou and Chalkias 2011;Ghosh et al 2011;Devkota et al 2012;Diop 2012;Capitani et al 2013;Corominas et al 2013;Grozavu and Patriche 2013;Dou et al 2015) were used in the debris flow susceptibility analyses, they include aridity, elevation, climate, land use/landcover, landform, fault density, lithology, precipitation (average monthly), soil drainage, soil thickness, soil type, and topsoil % clay.…”

Section: Methodsmentioning

confidence: 99%

Global debris flow susceptibility based on a comparative analysis of a single global model versus a continent-by-continent approach

Kurilla

Fubelli

2022

Nat Hazards

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Debris flows, and landslides in general, are worldwide catastrophic phenomena. As world population and urbanization grow in magnitude and geographic coverage, the need exists to extend focus, research, and modeling to a continental and global scale. Although debris flow behavior and parameters are local phenomena, sound generalizations can be applied to debris flow susceptibility analyses at larger geographic extents based on these criteria. The focus of this research is to develop a global debris flow susceptibility map by modeling at both a continental scale for all continents and by a single global model and determine whether a global model adequately represents each continent. Probability Density, Conditional Probability, Certainty Factor, Frequency Ratio, and Maximum Entropy statistical models were developed and evaluated for best model performance using fourteen environmental factors generally accepted as the most appropriate debris flow predisposing factors. Global models and models for each continent were then developed and evaluated against verification data. The comparative analysis demonstrates that a single global model performs comparably or better than individual continental models for a majority of the continents, resulting in a debris flow susceptibility map of the world useful for in-depth research, international planning, and future debris flow susceptibility modeling and determining societal impacts.

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“…The geographic distribution of these events is not as well distributed across the world as would be desired, due to either an inability to locate data sources or inability to obtain inventories from the sources identified. The numeric breakdown by continent and global distribution of the events is shown in Environmental variables commonly identified as debris flow predisposing factors (D'Amato Avanzi, Giannecchini et al 2004, Chen, Zhou et al 2010, Ferentinou and Chalkias 2011, Ghosh, Carranza et al 2011, Devkota, Regmi et al 2012, Diop 2012, Capitani, Ribolini et al 2013, Corominas, van Westen et al 2013, Grozavu and Patriche 2013, Dou, Tien Bui et al 2015 were used in the debris flow susceptibility analyses, they include aridity, elevation, climate, land use/landcover, landform, fault density, lithology, precipitation (average monthly), soil drainage, soil thickness, soil type, and topsoil % clay.…”

Section: Study Areamentioning

confidence: 99%

A Global Debris Flow Susceptibility Map Based on a Comparative Analysis of a Single Global Model Versus a Continent-by-continent Approach

Kurilla

Fubelli

2021

Preprint

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Debris flows, and landslides in general, are worldwide catastrophic phenomena. As world population and urbanization grow in magnitude and geographic coverage, the need exists to extend focus, research, and modeling to a continental and global scale.Although debris flow behavior and parameters are local phenomena, sound generalizations can be applied to debris flow susceptibility analyses at larger geographic extents based on these criteria. The focus of this research is to develop a global debris flow susceptibility map by modeling at both a continental scale for all continents and by a single global model and determine whether a global model adequately represents each continent. Probability Density, Conditional Probability, Certainty Factor, Frequency Ratio, and Maximum Entropy statistical models were developed and evaluated for best model performance using fourteen environmental factors generally accepted as the most appropriate debris flow predisposing factors. Global models and models for each continent were then developed and evaluated against verification data. The comparative analysis demonstrates that a single global model performs comparably or better than individual continental models for a majority of the continents, resulting in a debris flow susceptibility map of the world useful in international planning, and future debris flow susceptibility modeling for determining societal impacts.

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Landslide inventorization and susceptibility mapping in South Africa

Cited by 8 publications

References 6 publications

Landslide hazard and risk assessment on the Scottish road network

Landslide hazard and risk assessment on the Scottish road network

Global debris flow susceptibility based on a comparative analysis of a single global model versus a continent-by-continent approach

A Global Debris Flow Susceptibility Map Based on a Comparative Analysis of a Single Global Model Versus a Continent-by-continent Approach

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