A hydroclimatic threshold for landslide initiation on the North Shore Mountains of Vancouver, British Columbia

Jakob, Matthias; Weatherly, Hamish

doi:10.1016/s0169-555x(02)00339-2

Cited by 176 publications

(94 citation statements)

References 22 publications

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“…These events (∼30% of the total number of investigated events) were not included in the catalogue. Reasons for discarding an event were manifold, including the fact that: (i) landslides were not induced by rainfall (or exclusively by rainfall, e.g., they were caused by rain-on-snow or by snowmelt; Jakob and Weatherly, 2003;Cardinali et al, 2000), and consequently the relationship between landslide occurrence and rainfall amount (or intensity) was weak or inexistent, (ii) the area where landslides were reported was affected by wildfires recently, a condition known to alter the amount of rainfall that can initiate slope failures (Cannon and Gartner, 2005), (iii) geographical location of the landslide was not possible or exceedingly imprecise, and (iv) rain gauges were not present in the area where a landslide was reported, or rainfall measurements were not available for the event that triggered the landslide.…”

Section: Catalogue Of Rainfall Induced Landslides In Italymentioning

confidence: 99%

Rainfall thresholds for the possible occurrence of landslides in Italy

Brunetti

Peruccacci

Rossi

et al. 2010

Nat. Hazards Earth Syst. Sci.

484

409

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Abstract. In Italy, rainfall is the primary trigger of landslides that frequently cause fatalities and large economic damage. Using a variety of information sources, we have compiled a catalogue listing 753 rainfall events that have resulted in landslides in Italy. For each event in the catalogue, the exact or approximate location of the landslide and the time or period of initiation of the slope failure is known, together with information on the rainfall duration D, and the rainfall mean intensity I , that have resulted in the slope failure. The catalogue represents the single largest collection of information on rainfall-induced landslides in Italy, and was exploited to determine the minimum rainfall conditions necessary for landslide occurrence in Italy, and in the Abruzzo Region, central Italy. For the purpose, new national rainfall thresholds for Italy and new regional rainfall thresholds for the Abruzzo Region were established, using two independent statistical methods, including a Bayesian inference method and a new Frequentist approach. The two methods proved complementary, with the Bayesian method more suited to analyze small data sets, and the Frequentist method performing better when applied to large data sets. The new regional thresholds for the Abruzzo Region are lower than the new national thresholds for Italy, and lower than the regional thresholds proposed in the literature for the Piedmont and Lombardy Regions in northern Italy, and for the Campania Region in southern Italy. This is important, because it shows that landslides in Italy can be triggered by less severe rainfall conditions than previously recognized. The Frequentist method experimented in this work allows for the definition of multiple minimum rainfall thresholds, each based on a different exceedance probability level. This makes the thresholds suited for the design of probabilistic schemes for the prediction of rainfall-induced landslides. A scheme based on four probabilistic thresholds is proposed. The four threshCorrespondence to: M. T. Brunetti (mariateresa.brunetti@irpi.cnr.it) olds separate five fields, each characterized by different rainfall intensity-duration conditions, and corresponding different probability of possible landslide occurrence. The scheme can be implemented in landslide warning systems that operate on rainfall thresholds, and on precipitation measurements or forecasts.

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Section: Catalogue Of Rainfall Induced Landslides In Italymentioning

confidence: 99%

Rainfall thresholds for the possible occurrence of landslides in Italy

Brunetti

Peruccacci

Rossi

et al. 2010

Nat. Hazards Earth Syst. Sci.

484

409

View full text Add to dashboard Cite

show abstract

“…They cannot be easily applied to other areas because topographic, lithological, meteorological, and climatological characteristics may vary between regions (Jakob and Weatherly 2003;Guzzetti et al 2007Guzzetti et al , 2008. For example, limited surface vegetation and the accumulation of regolith on slopes during long dry periods allow a relatively short and weak rainfall event to initiate mass movements in arid areas.…”

Section: I-d Thresholdsmentioning

confidence: 99%

Rainfall intensity–duration conditions for mass movements in Taiwan

Chen

Saitô

Oguchi

2015

Prog. in Earth and Planet. Sci.

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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.

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“…For landslides, the hydro-meteorological trigger is often rainfall (Jakob and Weatherly 2003;Farahmand and Aghakouchak 2013), and empirical rainfall thresholds are often used to define minimum triggering conditions for landslides (Peruccacci et al 2012); however these are often localized, and depend greatly on the quality of rainfall data (Gariano et al 2015). The use of broader scale atmospheric conditions can alleviate this problem although, to date, few studies have addressed this issue (e.g.…”

Section: Introductionmentioning

confidence: 99%

Landslides and synoptic weather trends in the European Alps

2016

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Landslides present a substantial geomorphological hazard in Alpine regions and there are expectations that climate change will alter their frequency and magnitude in the future. Understanding the spatial distribution and timing of landslides in the context of past change is therefore necessary if we are to assess their future behaviour. Using a regional landslide inventory for the European Alps we analyse the influence of weather types, specifically the COST733 database, on landslides. Monte Carlo permutation tests are used to assess which weather types are most likely associated with landslides. Weather types with high precipitation are consistent with more landslides, although there are also seasonal differences. Over the duration of the COST733 catalogue there has been a significant decrease in the number of days with weather types associated with low frequencies of landslides. During the spring and autumn months, the trend in observed landslide frequency and weather types are well matched. However while there is potential for weather typing to be used as a proxy for future landslide frequency, other external factors must be carefully considered.

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A hydroclimatic threshold for landslide initiation on the North Shore Mountains of Vancouver, British Columbia

Cited by 176 publications

References 22 publications

Rainfall thresholds for the possible occurrence of landslides in Italy

Rainfall thresholds for the possible occurrence of landslides in Italy

Rainfall intensity–duration conditions for mass movements in Taiwan

Landslides and synoptic weather trends in the European Alps

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