Susceptibility assessment of shallow landslides on Oahu, Hawaii, under extreme-rainfall events

Deb, Sanjit K.; El‐Kadi, Aly I.

doi:10.1016/j.geomorph.2009.01.009

Cited by 45 publications

(22 citation statements)

References 35 publications

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“…In basaltic lavas, vertical or horizontal fractures Lithology, its derived alterites, and slope values are the most significant factors for land instabilities in Mayotte; this relationship is observed in other tropical environments (e.g. Nagarajan et al, 2000;Saldivar-Sali and Einstein, 2007;Deb and El Kadi, 2009). On such volcanic formations, triggering factor is heavy rainfall over a long period (Au, 1998;Deb and The initial methodology was simplified to accommodate the available data, and was calibrated during heavy rains in 2003 and 2004 to improve its precision.…”

Section: Revised Versionmentioning

confidence: 86%

“…Nagarajan et al, 2000;Saldivar-Sali and Einstein, 2007;Deb and El Kadi, 2009). On such volcanic formations, triggering factor is heavy rainfall over a long period (Au, 1998;Deb and The initial methodology was simplified to accommodate the available data, and was calibrated during heavy rains in 2003 and 2004 to improve its precision. This study was the first of its kind in Mayotte and the methodology was chosen for its reliability, ease of use and low cost compared to the hydrologic-hydraulic method.…”

Section: Revised Versionmentioning

confidence: 99%

See 1 more Smart Citation

Major natural hazards in a tropical volcanic island: A review for Mayotte Island, Comoros archipelago, Indian Ocean

Audru¹,

Bitri²,

Desprats³

et al. 2010

Engineering Geology

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Section: Revised Versionmentioning

confidence: 86%

Section: Revised Versionmentioning

confidence: 99%

Major natural hazards in a tropical volcanic island: A review for Mayotte Island, Comoros archipelago, Indian Ocean

Audru¹,

Bitri²,

Desprats³

et al. 2010

Engineering Geology

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“…Here we focus on a few key aspects of the model. In the absence of actual data, the set of variables and parameters of the infinite slope stability model is aggregated and become calibration input (Pack et al, 1998;Deb and El-Kadi, 2009;Kuriakose et al, 2009) Uncertainty in the three variables C, tan f, and R/T is modelled by the specification of upper and lower bounds (Deb and El-Kadi, 2009). The definition of input parameters makes it possible to classify the study area into various slope-stability classes.…”

Section: The Stability Index Mapping Modelmentioning

confidence: 99%

Shallow landslide susceptibility assessment in a data-poor region of Guatemala (Comitancillo municipality)

Preti

Letterio²

2015

J Agricult Engineer

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Although landslides are frequent natural phenomena in mountainous regions, the lack of data in emerging countries is a significant issue in the assessment of shallow landslide susceptibility. A key factor in risk-mitigation strategies is the evaluation of deterministic physical models for hazard assessment in these data-poor regions. Given the lack of physical information, input parameters to these data-intensive deterministic models have to be estimated, which has a negative impact on the reliability of the assessment. To address this problem, we examined shallow landslide hazard in Comitancillo municipality, Guatemala. Shallow landslides are here defined as small (less than two or three metre-deep) rotational or translational slides or earth flows. We based our hazard simulation on the stability index mapping model. The model's input parameters were estimated from a statistical analysis of factors affecting landslides in the municipality obtained from a geodatabase. The outputs from the model were analysed and compared to an inventory of small-scale landslides. The results of the comparison show the effectiveness of the method developed to estimate input parameters for a deterministic model, in regions where physical data related to the assessment of shallow landslide susceptibility is lacking. IntroductionVarious natural disasters in recent centuries in Central America have been caused by landslides and debris flows (Zaitchik and van Es, 2003;Petley et al., 2005;Devoli et al., 2007aDevoli et al., , 2007bMedina, 2007;Miner and Villagran de Leon, 2008;Devoli et al., 2009). For example, in early October 2005 at the end of the rainy season, a storm system led to heavy rainfall in Guatemala (UNEP, 2005) and resulted in several landslides that had a severe impact on communities. More than 1800 people died (Cepeda et al., 2010) and the landslides that hit the Sololà and San Marcos Departments wrecked entire villages (Medina, 2007). However, the municipality of Comitancillo (San Marcos Department) escaped the disaster. There were no large-scale land movements (MAGA, 2001), although several shallow landslides and/or earthflows were observed. Nevertheless, landslides are the most significant cause of denudation in watersheds with steep slopes (Wentworth, 1943;Scott and Street, 1976;Li, 1988;Terlien, 1997;Lan et al., 2004).Most landslides in Central and South America occur (or have the potential to occur) in mountainous regions of the Andes and steep slopes in volcanic regions. In rural zones of Guatemala, forested land has been degraded (Medina, 2007) or partially converted to subsistence agriculture (Bresci et al., 2013). Such changes in land use and land cover affect soil cohesion and critical pore water pressure, causing loss of root reinforcement and reduction of the canopy effect on interception and evapotranspiration (Kuriakose et al., 2009).In the municipality the factors affecting landslides have never been identified or analysed; they include lithology, soil texture, slope angle, elevation (Lan et al....

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“…When the combined values do not reach a stable condition, the slope was defined as a high instability hazard zone. Under such conditions, bare slopes or slopes devoid of soil cover may lead to erroneous results; in this case, the results calculated by the SINMAP model will not be reliable [Terhorst and Kreja, 2009;Deb and El-Kadi, 2009].…”

Section: Slope Stability Distributionmentioning

confidence: 99%

Assessment of Regional Shallow Landslide Stability Based on Airborne Laser Scanning Data in the Yingxiu Area of Sichuan Province (China)

Liu

Lü

et al. 2016

European Journal of Remote Sensing

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This study focuses on analyzing the slope stabilities in a landslide-prone area of Yingxiu Town, Sichuan Province (China). Airborne Laser Scanning (ALS) data were acquired to derive a Digital Elevation Model (DEM) with sufficient accuracy and resolution, as an input for the regional landslide stability analysis. The one-dimensional hydrological model -Stability Index Map (SINMAP), functioning with topographic data, geological settings, and rainfall conditions, was used as a simplified model for slope stability mapping. In this study, the investigated region was classified into six stability levels, and data reliability was subsequently checked with reference to recent landslide inventories. Several experiments have shown that the quality of ALS data played a key-role in the slope stability inside the SINMAP model regarding the point cloud density and the random error. Higher point cloud density may construct higher precision of DEM, however, it may also produce more noises. Although with these uncertainties, using ALS data and its derived high precision DEM, the physically-based SINMAP model is expected to provide a solid basis for further landslide susceptibility mapping at regional scale.

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Susceptibility assessment of shallow landslides on Oahu, Hawaii, under extreme-rainfall events

Cited by 45 publications

References 35 publications

Major natural hazards in a tropical volcanic island: A review for Mayotte Island, Comoros archipelago, Indian Ocean

Major natural hazards in a tropical volcanic island: A review for Mayotte Island, Comoros archipelago, Indian Ocean

Shallow landslide susceptibility assessment in a data-poor region of Guatemala (Comitancillo municipality)

Assessment of Regional Shallow Landslide Stability Based on Airborne Laser Scanning Data in the Yingxiu Area of Sichuan Province (China)

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