Landslide hazard analysis for Hong Kong using landslide inventory and GIS

Chau, Kam Tim; Sze, Ying-Hon; Fung, Michael K.; Wong, Wai Yin; Fong, E.L.; Chan, Lena C.

doi:10.1016/j.cageo.2003.08.013

Cited by 183 publications

(70 citation statements)

References 39 publications

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“…1). There are good examples in the literature of the use of landslide inventories for hazard assessment (Guzzetti et al 1994;Guzzetti 2000;Chau et al 2004;Guzzetti and Tonelli 2004). However, the existing landslide databases often present several drawbacks (Guzzetti 2000;Ardizzone et al 2002;Guzzetti and Tonelli 2004) related to the completeness in space and even more so in time and the fact that they are biased to landslides that have affected infrastructures such as roads.…”

Section: National Landslide Risk Assessment Model Design Issues and Omentioning

confidence: 99%

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Abella

Westen²

2007

Landslides

180

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This paper explains the procedure for the generation of a landslide risk index map at national level in Cuba, using a semiquantitative model with ten indicator maps and a cell size of 90× 90 m. The model was designed and implemented using spatial multi-criteria evaluation techniques in a GIS system. Each indicator was processed, analysed and standardised according to its contribution to hazard and vulnerability. The indicators were weighted using direct, pairwise comparison and rank-ordering weighting methods, and weights were combined to obtain the final landslide risk index map. The results were analysed per physiographic region and administrative units at provincial and municipal levels. The Sierra Maestra mountain system was found to have the largest concentration of high landslide risk index values while the Nipe-Cristal-Baracoa system has the highest absolute values, although they are more dispersed. The results obtained allow designing an appropriated landslide risk mitigation plan at national level and to link the information to the national hurricane early warning system, allowing also warning and evacuation for landslide-prone areas.

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Section: National Landslide Risk Assessment Model Design Issues and Omentioning

confidence: 99%

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Abella

Westen²

2007

Landslides

180

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“…LEN and HEI are key parameters for the estimation of the distance travelled by a landslide from its source area and of the velocity of the displaced material (Bathurst et al, 1997;Chau et al, 2004;Martinovic et al, 2016). LEN is the distance from the point of origin of overland flow to the point where either the slope gradient decreases enough for deposition to start, or runoff waters are streamed into a channel (Wischmeier and Smith, 1978).…”

Section: Predictor Variablesmentioning

confidence: 99%

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni

Persichillo

Meisina

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides cause severe damage to the road network of the hit zone, in terms of both direct (partial or complete destruction of a road or blockages) and indirect (traffic restriction or the cut-off of a certain area) costs. Thus, the identification of the parts of the road network that are more susceptible to landslides is fundamental to reduce the risk to the population potentially exposed and the financial expense caused by the damage. For these reasons, this paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to being hit by shallow landslides triggered in slopes upstream from the infrastructure. This model was based on the Generalized Additive Method, where the function relating predictors and response variable is an empirically fitted smooth function that allows fitting the data in the more likely functional form, considering also non-linear relations. This work also analyzed the importance, on the estimation of the susceptibility, of considering or not the sediment connectivity, which influences the path and the travel distance of the materials mobilized by a slope failure until hitting a potential barrier such as a road. The study was carried out in a catchment of northeastern Oltrepò Pavese (northern Italy), where several shallow landslides affected roads in the last 8 years. The most significant explanatory variables were selected by a random partition of the available dataset in two parts (training and test subsets), 100 times according to a bootstrap procedure. These variables (selected 80 times by the bootstrap procedure) were used to build the final susceptibility model, the accuracy of which was estimated through a 100-fold repetition of the holdout method for regression, based on the training and test sets created through the 100 bootstrap model selection. The presented methodology allows the identification, in a robust and reliable way, of the most susceptible road sectors that could be hit by sediments delivered by landslides. The best predictive capability was obtained using a model in which the index of connectivity was also calculated according to a linear relationship, was considered. Most susceptible road traits resulted to be located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. Different land use scenarios were considered in order to estimate possible changes in road susceptibility. Land use classes of the study area were characterized by similar connectivity features. As a consequence, variations on the susceptibility of the road network according to different scenarios of distribution of land cover were limited. The results of this research demonstrate the ability of the developed methodology in the assessment of susceptible roads. This could give the managers of infrastructure information about the criticality of the different road traits, thereby allowing attention and economic budgets to be shifted towards the most critical assets, where structural and non-structur...

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“…Some countries in the world have been successful in establishing complete landslide inventories such as Hong Kong, Italy, Turkey, etc. (Guzzetti et al 1994;Chau et al 2004;Duman et al 2005). Depending on the purpose and the available resources, landslide inventory maps are compiled at different scales using various techniques.…”

Section: Landslide Inventory Mapping Under the Sflpmentioning

confidence: 99%

Landslide Inventory Mapping in the Fourteen Northern Provinces of Vietnam: Achievements and Difficulties

Hung

Van

Son

et al. 2017

Advancing Culture of Living With Landslides

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The State-Funded Landslide Project (SFLP) is a national program to systematically assess landslide susceptibility, hazard and risk for all of prone areas in Vietnam. Under this SFLP, in the first phase of SFLP (2012SFLP ( -2014, activities of landslide inventory mapping were implemented over the fourteen Northern mountainous provinces. As the achievements, 10,149 historic landslides were mapped by field surveys and 9405 locations with landslide signs were interpreted from air-photos and analysis of 3D relief. Approximately 83% of the surveyed landslides locate in accessible areas, with small and medium dimensions and partly as a result of the slope cuts. About 76% of the interpreted landslides locate in inaccessible areas, and only 24% of the interpreted locate in accessible areas, of which 65% were found active landslides at the time of surveying, naturally occurred with large dimensions. However, the inventory exposes some major drawbacks: (1) The unavailability of multi-date air-photos; (2) The lack of human resources with enough experiences in image interpretation; (3) The difficulties of verifying the interpreted landslides, especially for the inaccessible sites; (4) Few or no sources of historic information due to the isolated sites or little memory of small or medium size events; (5) No updates developed by the surveyors after they finished their tasks. Those drawbacks can lead to the insufficiency of adequate data on the types, sizes and characteristics of the slope failures, especially the exact dates of occurrences. Despite of those difficulties, the achieved inventory database have been updated and then used as basic input for the susceptibility and hazard mapping as well as preliminary results of SFLP to inform the local authorities and communities about real situations of landslides in their areas.

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Landslide hazard analysis for Hong Kong using landslide inventory and GIS

Cited by 183 publications

References 39 publications

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Landslide Inventory Mapping in the Fourteen Northern Provinces of Vietnam: Achievements and Difficulties

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