Landslide volumes and landslide mobilization rates in Umbria, central Italy
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.
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