Landslide volumes and landslide mobilization rates in Umbria, central Italy

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Abstract

A catalogue of 677 landslides of the slide type was selected from a global database of geometrical measurements of individual landslides, including landslide area (AL) and volume (VL). The measurements were used to establish an empirical relationship to link AL (in m2) to VL (in m3). The relationship takes the form of a power law with a scaling exponent α = 1.450, covers eight orders of magnitude of AL and twelve orders of magnitude of VL, and is in general agreement with existing relationships published in the literature. The reduced scatter of the experiential data around the dependency line, and the fact that the considered landslides occurred in multiple physiographic and climatic environments and were caused by different triggers, indicate that the relationship between VL and AL is largely independent of the physiographical setting. The new relationship was used to determine the volume of individual landslides of the slide type in the Collazzone area, central Italy, a 78.9 km2 area for which a multi-temporal landslide inventory covering the 69-year period from 1937 to 2005 is available. In the observation period, the total volume of landslide material was VLT = 4.78 × 107 m3, corresponding to an average rate of landslide mobilization φL = 8.8 mm yr 1. Exploiting the temporal information in the landslide inventory, the volume of material produced during different periods by new and reactivated landslides was singled out. The wet period from 1937 to 1941 was recognized as an episode of accelerated landslide production. During this 5-year period, approximately 45% of the total landslide material inventoried in the Collazzone area was produced, corresponding to an average rate of landslide mobilization φL = 54 mm yr 1, six times higher than the long term rate. The volume of landslide material in an event or period was used as a proxy for the magnitude of the event or period, defined as the logarithm (base 10) of the total landslide volume produced during the event, or period. With this respect, the new relationship to link AL and VL is a starting point for the adoption of a quantitative, process based landslide magnitude scale for landslide events.

Introduction

Landslides are caused by various triggers, including earthquakes, rainfall and rapid snowmelt, and are influenced by multiple factors, such as topography, soil and rock types, fractures and bedding planes, and moisture content (Crozier, 1986, Turner and Schuster, 1996). Knowing the number, area, and volume of landslides is important to determine landslide susceptibility and hazard (Soeters and van Westen, 1996, Guzzetti et al., 1999, Malamud et al., 2004a), to ascertain landslide risk (Cardinali et al., 2002, Reichenbach et al., 2005), for forestry, wildlife and ecological studies (Montgomery et al., 2000, Miller and Burnett, 2007), and to evaluate the long-term evolution of landscapes dominated by mass-wasting processes (Hovius et al., 1997, Harmon and Doe, 2001, Lavé and Burbank, 2004, Malamud et al., 2004b, Korup, 2005a, Korup, 2005b, Imaizumi and Sidle, 2007, Guzzetti et al., 2008).

The number of landslides in an area is information easily obtained where accurate and reasonably complete landslide inventory maps are available (Guzzetti et al., 2002, Malamud et al., 2004a, Galli et al., 2008). Where landslide maps are available in digital form, the number of landslide per unit area (i.e., landslide density), the area of individual landslides, and the total landslide area can be calculated. Where multi-temporal landslide inventory maps are available in digital form (Guzzetti et al., 2005, Guzzetti et al., 2006, Imaizumi and Sidle, 2007, Galli et al., 2008), statistics of the number, density and area of landslides can be calculated for different periods.

Determining the volume of a landslide is a more difficult task that requires information on the surface and sub-surface geometry of the slope failure. This information is difficult and expensive to collect. Estimating the volume of slope failures for a large population of landslides (hundreds to several thousand failures) in an area is an even more challenging task (Malamud et al., 2004a) that, at present, can be achieved only by adopting empirical relationships to link the volume of individual landslides to geometrical measurements of the failures, chiefly landslide area (Simonett, 1967, Rice et al., 1969, Innes, 1983, Hovius et al., 1997, Guthrie and Evans, 2004a, Korup, 2005b, ten Brink et al., 2006, Imaizumi and Sidle, 2007, Guzzetti et al., 2008, Imaizumi et al., 2008).

In this paper, we first describe a catalogue of 5814 landslides for which measures of the area, AL, and volume, VL, are available. Next, we use a subset of this catalogue listing 677 mass movements of the slide type (Cruden and Varnes, 1996) – or predominantly of the slide type – to determine an empirical relationship linking AL and VL, and we compare the new relationship to similar relationships in the literature (Simonett, 1967, Rice et al., 1969, Innes, 1983, Guthrie and Evans, 2004a, Korup, 2005b, ten Brink et al., 2006, Imaizumi and Sidle, 2007, Guzzetti et al., 2008, Imaizumi et al., 2008). We exploit the obtained dependency to determine the total volume of landslide material and the rate at which landslides are mobilized in an area of Umbria, central Italy, for which a detailed multi-temporal landslide inventory map is available (Guzzetti et al., 2006, Galli et al., 2008). Lastly, we propose a landslide event magnitude scale based on the total landslide volume produced during an event, or period.

Section snippets

Dependency of VL on AL

A database of geometrical measurements for individual landslides, including landslide area AL (in m2), and volume VL (in m3), was compiled through a worldwide literature search, comprising main reference works (e.g., Voight, 1978, Voight, 1979, Eisbacher and Clague, 1984, Sassa, 1999, Evans and DeGraff, 2002), international journals, conference proceedings, and event and technical reports. First, papers presenting relationships that link geometrical properties of slope failures (i.e., landslide

Comparison with existing relationships

Other relationships linking AL to VL are available in the literature (Table 1 and Fig. 3). Simonett (1967), working in the Bewani and Torricelli Mountains in central New Guinea, estimated in the field the area and volume of 207 landslides, and obtained the relationship VL = 0.2049 × AL1.368, for ≈ 2.5 × 101 ft2  AL   2 × 106 ft2. Rice et al. (1969) measured the length, width, area and volume of 29 soil slips in southern California, and determined the relationship VL = 0.234 × AL1.11, for 2.1 × 100 m2  AL  2 × 102 m2

Application to the Collazzone area

For the Collazzone area, Umbria, central Italy (Fig. 4), Eq. (1) was used to calculate the volume of individual landslides from their (planimetric) area. The volume information was then used to (i) evaluate the total volume of landslide material VLT, (ii) estimate landslide mobilization rates φL, and (iii) determine the magnitude of individual landslide events or periods, mL.

Conclusions

An empirical relationship to link landslide area (AL in m2) to landslide volume (VL in m3) was obtained from a worldwide catalogue of 677 landslides of the slide type. The relationship is a power law with a scaling exponent α = 1.450, and is in general agreement with similar relationships in the literature (Simonett, 1967, Rice et al., 1969, Innes, 1983, Guthrie and Evans, 2004a, Korup, 2005b, ten Brink et al., 2006, Imaizumi and Sidle, 2007, Guzzetti et al., 2008, Imaizumi et al., 2008). We

Acknowledgements

We dedicate this work to Mirco Galli, a friend and colleague who departed suddenly. His contribution was crucial to this research. This work was supported by European Commission Project 12975 (NEST) Extreme Events: Causes and Consequences (E2-C2) and by CNR IRPI grants. We are grateful to A. Angelici and L. Chiavini for helping in the data collection, and to O. Katz and two anonymous reviewers for their comments.

References (57)

  • ArdizzoneF. et al.

    Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar

    Natural Hazards and Earth System Sciences

    (2007)
  • BatesD.M. et al.
  • CardinaliM. et al.

    Landslides triggered by rapid snow melting, the December 1996–January 1997 event in Central Italy

  • CardinaliM. et al.

    A geomorphological approach to estimate landslide hazard and risk in urban and rural areas in Umbria, central Italy

    Natural Hazards and Earth System Sciences

    (2002)
  • ChambersJ.M.
  • CrozierM.J.
  • CrudenD.M. et al.

    Landslide types and processes

  • EisbacherG.H. et al.

    Destructive mass movements in high mountains: hazard and management

    Geological Survey of Canada, Paper

    (1984)
  • EvansS.G. et al.
  • GillonM.D. et al.

    Cromwell Gorge landslides — a general overview

  • GuthrieR.H. et al.

    Analysis of landslide frequencies and characteristics in a natural system, coastal British Columbia

    Earth Surface Processes and Landforms

    (2004)
  • GuthrieR.H. et al.

    Magnitude and frequency of landslides triggered by a storm event, Loughborough Inlet, British Columbia

    Natural Hazards and Earth System Sciences

    (2004)
  • GuzzettiF. et al.

    Landslide hazard assessment in the Collazzone area, Umbria, central Italy

    Natural Hazards and Earth System Sciences

    (2006)
  • HaflidasonH. et al.

    The dating and morphometry of the Storrega Slide

    Marine and Petroleum Geology

    (2005)
  • HarmonR.S. et al.
  • HoviusN. et al.

    Sediment flux from a mountain belt derived by landslide mapping

    Geology

    (1997)
  • HungrO.

    Some methods of landslide hazard intensity mapping

  • ImaizumiF. et al.

    Linkage of sediment supply and transport processes in Miyagawa Dam catchment, Japan

    Journal Geophysical Research

    (2007)
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