The influence of intense rainfall on the activity of large-scale crystalline schist landslides in Shikoku Island, Japan

Hong, Yang; Hiura, Hiromasa; Shino, Kazuo; Sassa, Kyoji; Suemine, Akira; Fukuoka, Hiroshi; Wang, Gonghui

doi:10.1007/s10346-004-0043-z

Cited by 128 publications

(76 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At regional scale, warning systems for rainfall-induced landslides are mainly based on empirical rainfall thresholds (Keefer et al, 1987;Aleotti, 2004;Hong et al, 2005;Tiranti and Rabuffetti, 2010;Baum and Godt, 2010;Capparelli and Tiranti, 2010;Cannon et al, 2011;Floris et al, 2012;Jakob et al, 2012;Staley et al, 2013;Lagomarsino et al, 2013;Tiranti et al, 2014;Cucchi et al, 2015). A broad literature exists on empirical rainfall thresholds for the possible initiation of landslides (Guzzetti et al, 2007, and references therein), and intensity-duration (I -D) thresholds are the most popular (Caine, 1980;Guzzetti et al, 2008;and references therein).…”

Section: Introductionmentioning

confidence: 99%

Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

Segoni

Battistini

Rossi

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract.We set up an early warning system for rainfallinduced landslides in Tuscany (23 000 km 2 ). The system is based on a set of state-of-the-art intensity-duration rainfall thresholds (Segoni et al., 2014b) and makes use of LAMI (Limited Area Model Italy) rainfall forecasts and real-time rainfall data provided by an automated network of more than 300 rain gauges.The system was implemented in a WebGIS to ease the operational use in civil protection procedures: it is simple and intuitive to consult, and it provides different outputs. When switching among different views, the system is able to focus both on monitoring of real-time data and on forecasting at different lead times up to 48 h. Moreover, the system can switch between a basic data view where a synoptic scenario of the hazard can be shown all over the region and a more in-depth view were the rainfall path of rain gauges can be displayed and constantly compared with rainfall thresholds.To better account for the variability of the geomorphological and meteorological settings encountered in Tuscany, the region is subdivided into 25 alert zones, each provided with a specific threshold. The warning system reflects this subdivision: using a network of more than 300 rain gauges, it allows for the monitoring of each alert zone separately so that warnings can be issued independently.An important feature of the warning system is that the visualization of the thresholds in the WebGIS interface may vary in time depending on when the starting time of the rainfall event is set. The starting time of the rainfall event is considered as a variable by the early warning system: whenever new rainfall data are available, a recursive algorithm identifies the starting time for which the rainfall path is closest to or overcomes the threshold. This is considered the most hazardous condition, and it is displayed by the WebGIS interface.The early warning system is used to forecast and monitor the landslide hazard in the whole region, providing specific alert levels for 25 distinct alert zones. In addition, the system can be used to gather, analyze, display, explore, interpret and store rainfall data, thus representing a potential support to both decision makers and scientists.

show abstract

Section: Introductionmentioning

confidence: 99%

Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

Segoni

Battistini

Rossi

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Several studies have also found that peak rainfall intensity and the initiation of mass movements are often concurrent (Aleotti 2004;Chien-Yuan et al 2005;Guzzetti et al 2007Guzzetti et al , 2008Dahal and Hasegawa 2008;Saito et al 2010aSaito et al , 2010b. Although antecedent rainfall also plays an important role in the initiation of mass movement (Kim et al 1992;Glade 1997;Crozier 1999;Glade et al 2000;Guzzetti et al 2007Guzzetti et al , 2008Dahal and Hasegawa 2008), intensity-duration (I-D) thresholds and/or the peak rainfall intensity are often used to predict mass movements and warn the appropriate authorities of potential mass movement hazards (Onodera et al 1974;Keefer et al 1987;Aleotti 2004;Hong et al 2005;Cannon et al 2008;Coe et al 2008;Dahal and Hasegawa 2008;Guzzetti et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Rainfall intensity–duration conditions for mass movements in Taiwan

Chen

Saitô

Oguchi

2015

Prog. in Earth and Planet. Sci.

View full text Add to dashboard Cite

Mass movements caused by rainfall events in Taiwan are analyzed during a 7-year period from 2006 to 2012. Data from the Taiwan Soil and Water Conservation Bureau reports were compiled for 263 mass movement events, including 156 landslides, 91 debris flows, and 16 events with both landslides and debris flows. Rainfall totals for each site location were obtained from interpolated rain gauge data. The rainfall intensity-duration (I-D) relationship was examined to establish a rainfall threshold for mass movements using random sampling: I = 18.10(±2.67)D −0.17(±0.04) , where I is mean rainfall intensity (mm/h) and D is the time (h) between the beginning of a rainfall event and the resulting mass movement. Significant differences were found between rainfall intensities and thresholds for landslides and debris flows. For short-duration rainfall events, higher mean rainfall intensities were required to trigger debris flows. In contrast, for long-duration rainfall events, similar mean rainfall intensities triggered both landslides and debris flows. Mean rainfall intensity was rescaled by mean annual precipitation (MAP) to define a new threshold: I MAP = 0.0060(±0.0009)D −0.17(±0.04) , where I MAP is rescaled rainfall intensity and MAP is the minimum for mountainous areas in Taiwan (3000 mm). Although the I-D threshold for Taiwan is high, the I MAP -D threshold for Taiwan tends to be low relative to other areas around the world. Our results indicate that Taiwan is highly prone to rainfall-induced mass movements. This study also shows that most mass movements occur in high rainfall-intensity periods, but some events occur before or after the rainfall peak. Both antecedent and peak rainfall play important roles in triggering landslides, whereas debris flow occurrence is more related to peak rainfall than antecedent rainfall.

show abstract

“…Some of them evaluated the role played by conditioning factors and triggering mechanisms in different environments and scales (e.g. Pachauri and Pant, 1992;Corominas et al, 2004;Hong et al, 2005). Other studies analysed the influence of external factors such as deforestation (e.g.…”

Section: Introductionmentioning

confidence: 99%

Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil

Vieira¹,

Fernandes

Filho³

2010

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract.Various methods are currently used in order to predict shallow landslides within the catchment scale. Among them, physically based models present advantages associated with the physical description of processes by means of mathematical equations. The main objective of this research is the prediction of shallow landslides using TRIGRS model, in a pilot catchment located at Serra do Mar mountain range, São Paulo State, southeastern Brazil. Susceptibility scenarios have been simulated taking into account different mechanical and hydrological values. These scenarios were analysed based on a landslide scars map from the January 1985 event, upon which two indexes were applied: Scars Concentration (SC -ratio between the number of cells with scars, in each class, and the total number of cells with scars within the catchment) and Landslide Potential (LP -ratio between the number of cells with scars, in each class, and the total number of cells in that same class). The results showed a significant agreement between the simulated scenarios and the scar's map. In unstable areas (SF≤1), the SC values exceeded 50% in all scenarios. Based on the results, the use of this model should be considered an important tool for shallow landslide prediction, especially in areas where mechanical and hydrological properties of the materials are not well known.

show abstract

The influence of intense rainfall on the activity of large-scale crystalline schist landslides in Shikoku Island, Japan

Cited by 128 publications

References 6 publications

Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

Rainfall intensity–duration conditions for mass movements in Taiwan

Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil

Contact Info

Product

Resources

About