scholarly journals Regional methods for shallow landslide hazard evaluation: a comparison between Italy and Central America

2010 ◽  
Author(s):  
D. Brambilla ◽  
L. Longoni ◽  
M. Papini
Keyword(s):  
Central America ◽  
Shallow Landslide ◽  
Landslide Hazard ◽  
Hazard Evaluation

Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy

Geomorphology ◽  
1999 ◽  
Vol 31 (1-4) ◽  
pp. 181-216 ◽  
Author(s):  
Fausto Guzzetti ◽  
Alberto Carrara ◽  
Mauro Cardinali ◽  
Paola Reichenbach
Keyword(s):  
Central Italy ◽  
Landslide Hazard ◽  
Hazard Evaluation ◽  
Multi Scale

scholarly journals Characterizing the spatial variations and correlations of large rainstorms for landslide study

2017 ◽  
Vol 21 (9) ◽  
pp. 4573-4589 ◽  
Author(s):  
Liang Gao ◽  
Limin Zhang ◽  
Mengqian Lu
Keyword(s):  
Spatial Distribution ◽  
Hong Kong ◽  
Spatial Correlation ◽  
Hazard Analysis ◽  
Primary Objective ◽  
Landslide Hazard ◽  
Distribution Model ◽  
Hazard Evaluation ◽  
Topographic Effects ◽  
The Impact

Abstract. Rainfall is the primary trigger of landslides in Hong Kong; hence, rainstorm spatial distribution is an important piece of information in landslide hazard analysis. The primary objective of this paper is to quantify spatial correlation characteristics of three landslide-triggering large storms in Hong Kong. The spatial maximum rolling rainfall is represented by a rotated ellipsoid trend surface and a random field of residuals. The maximum rolling 4, 12, 24, and 36 h rainfall amounts of these storms are assessed via surface trend fitting, and the spatial correlation of the detrended residuals is determined through studying the scales of fluctuation along eight directions. The principal directions of the surface trend are between 19 and 43°, and the major and minor axis lengths are 83–386 and 55–79 km, respectively. The scales of fluctuation of the residuals are found between 5 and 30 km. The spatial distribution parameters for the three large rainstorms are found to be similar to those for four ordinary rainfall events. The proposed rainfall spatial distribution model and parameters help define the impact area, rainfall intensity and local topographic effects for landslide hazard evaluation in the future.

scholarly journals A dynamic landslide hazard assessment system for Central America and Hispaniola

2015 ◽  
Vol 15 (10) ◽  
pp. 2257-2272 ◽  
Author(s):  
D. B. Kirschbaum ◽  
T. Stanley ◽  
J. Simmons
Keyword(s):  
Decision Tree ◽  
Real Time ◽  
Central America ◽  
Hazard Assessment ◽  
Situational Awareness ◽  
Landslide Hazard ◽  
Antecedent Rainfall ◽  
Landslide Hazard Assessment ◽  
Flexible Framework ◽  
The Caribbean

Abstract. Landslides pose a serious threat to life and property in Central America and the Caribbean Islands. In order to allow regionally coordinated situational awareness and disaster response, an online decision support system was created. At its core is a new flexible framework for evaluating potential landslide activity in near real time: Landslide Hazard Assessment for Situational Awareness. This framework was implemented in Central America and the Caribbean by integrating a regional susceptibility map and satellite-based rainfall estimates into a binary decision tree, considering both daily and antecedent rainfall. Using a regionally distributed, percentile-based threshold approach, the model outputs a pixel-by-pixel nowcast in near real time at a resolution of 30 arcsec to identify areas of moderate and high landslide hazard. The daily and antecedent rainfall thresholds in the model are calibrated using a subset of the Global Landslide Catalog in Central America available for 2007–2013. The model was then evaluated with data for 2014. Results suggest reasonable model skill over Central America and poorer performance over Hispaniola due primarily to the limited availability of calibration and validation data. The landslide model framework presented here demonstrates the capability to utilize globally available satellite products for regional landslide hazard assessment. It also provides a flexible framework to interchange the individual model components and adjust or calibrate thresholds based on access to new data and calibration sources. The availability of free satellite-based near real-time rainfall data allows the creation of similar models for any study area with a spatiotemporal record of landslide events. This method may also incorporate other hydrological or atmospheric variables such as numerical weather forecasts or satellite-based soil moisture estimates within this decision tree approach for improved hazard analysis.

scholarly journals Landslide hazard evaluation in and around the Ilam Hydropower Project, Eastern Nepal Himalaya

2002 ◽  
Vol 27 ◽  
Author(s):  
Deepak Chamlagain ◽  
Vishnu Dangol
Keyword(s):  
Land Use ◽  
Soil Depth ◽  
Landslide Hazard ◽  
Gully Erosion ◽  
Hazard Evaluation ◽  
Hydropower Project ◽  
Soil Slope ◽  
Rock Falls ◽  
Land Use Pattern ◽  
Use Pattern

The paper describes the results of the engineering geological and landslide hazard evaluation studies carried out in and around the Ilam Hydropower Project, eastern Nepal. Various types of mass wasting phenomena such as gully erosion, bank undercutting, and landslides are observed along the Mai Khola, Puwa Khola and road corridors. Gully erosion and bank undercutting are common on the slopes adjacent to streams and gullies. Most of the landslides are located on the slopes of 25° to 40° whereas large rock falls are found on the slopes, which are steeper than 40°. South-facing dip slopes contain large landslides while north-facing slopes seem to be relatively stable. The population of translational slide is dominant in the study area and is found mostly on soil having a depth of 3-6 m. Most of the rock falls are confined in schistose gneiss and highly fractured quartzite. Generally, three sets of joints govern the failure pattern of rockslides. The main triggering factors for mass movement of the area are high intensity of rainfall, rock discontinuities, steep topography, poor vegetation and river scouring. Land use pattern of the area has also equally contributed to initiate the mass movements in the area. The high hazard zones for rock slopes were confined to the steep dip slopes with highly fractured rocks whereas soil slope hazard is confined to fault zones and south facing slope. The soil slope was found to be more hazardous than the rock slope. The main causative factors for the landslide hazard in the study area are steep slope, rock discontinuity, land use pattern, soil depth and rainfall.

scholarly journals Categorization of Slope Failure in Southern Malaysia using Total Estimated Hazard (TEHD) Method

2020 ◽  
Vol 9 (1) ◽  
pp. 1966-1971
Keyword(s):  
Slope Failure ◽  
Secondary Data ◽  
Landslide Hazard ◽  
Public Works ◽  
Annual Rainfall ◽  
Hazard Evaluation ◽  
Geologic Hazard ◽  
Data Resource ◽  
High Hazard ◽  
Very High

Slope is a measure of steepness or the degree of inclination of a feature relative to the horizontal plane. One of the phenomenon or incidents of a slope was called as slope failure or landslide. Slope failure was a major natural disaster that had affected the country in terms of injuries, deaths, property damage, destruction of services, public inconvenience and economic as well as financial losses. Slope failure cases were very serious geologic hazard disaster that happened in many countries around the world. The aim of this paper is to determine the category of slope failure in the state of Johor based on Landslide Hazard Zonation (LHZ). Data were calculated by using Total Estimated Hazard (TEHD) value method which considered six factors effecting the slope failure, including lithology; slope steepness, topography, land use class, annual rainfall and type of soil. Data on the factors were collected from Malaysia Public Works Department (JKR) inspection form, website, and secondary data resource. After that weight for each factor were identified by referring to Landslide Hazard Evaluation Factor (LHEF) rating scheme. Then determination of LHZ was done according to TEHD values which have five hazard zones; (1) very low; (2) low; (3) medium; (4) high; and (5) very high. The results of this study found that out of total fifty two cases there were three medium hazard (MH), twenty seven high hazard (HH) and twenty two very high hazard (VHH). Comparison between actual data from JKR and total 52 locations of slope failure in Johor showed that 94% accuracy, TEHD equation could calculate potential slope failure hazards in Johor very well.

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