Root cohesion of forest species in the Italian Alps

Bischetti, Gian Battista; Chiaradia, Enrico Antonio; Epis, T.; Morlotti, E.

doi:10.1007/s11104-009-9941-0

Cited by 204 publications

(183 citation statements)

References 49 publications

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“…Kim et al, 2013), a linear decrease of c r with depth up to a given rooting depth d r (m) was assumed, accounting for the distribution of roots with depth as observed in other studies (e.g. Bischetti et al, 2005Bischetti et al, , 2009. If the rooting depth exceeds the regolith depth, c r is only considered down to the regolith-bedrock interface (roots are not expected to penetrate the bedrock).…”

Section: Trigrs 20 Modelmentioning

confidence: 99%

Sensitivity analysis and calibration of a dynamic physically based slope stability model

Zieher

Rutzinger

Schneider‐Muntau

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Physically based modelling of slope stability on a catchment scale is still a challenging task. When applying a physically based model on such a scale (1 : 10 000 to 1 : 50 000), parameters with a high impact on the model result should be calibrated to account for (i) the spatial variability of parameter values, (ii) shortcomings of the selected model, (iii) uncertainties of laboratory tests and field measurements or (iv) parameters that cannot be derived experimentally or measured in the field (e.g. calibration constants). While systematic parameter calibration is a common task in hydrological modelling, this is rarely done using physically based slope stability models. In the present study a dynamic, physically based, coupled hydrological-geomechanical slope stability model is calibrated based on a limited number of laboratory tests and a detailed multitemporal shallow landslide inventory covering two landslide-triggering rainfall events in the Laternser valley, Vorarlberg (Austria). Sensitive parameters are identified based on a local one-at-a-time sensitivity analysis. These parameters (hydraulic conductivity, specific storage, angle of internal friction for effective stress, cohesion for effective stress) are systematically sampled and calibrated for a landslide-triggering rainfall event in August 2005. The identified model ensemble, including 25 "behavioural model runs" with the highest portion of correctly predicted landslides and non-landslides, is then validated with another landslide-triggering rainfall event in May 1999. The identified model ensemble correctly predicts the location and the supposed triggering timing of 73.0 % of the observed landslides triggered in August 2005 and 91.5 % of the observed landslides triggered in May 1999. Results of the model ensemble driven with raised precipitation input reveal a slight increase in areas potentially affected by slope failure. At the same time, the peak run-off increases more markedly, suggesting that precipitation intensities during the investigated landslide-triggering rainfall events were already close to or above the soil's infiltration capacity.

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Section: Trigrs 20 Modelmentioning

confidence: 99%

Sensitivity analysis and calibration of a dynamic physically based slope stability model

Zieher

Rutzinger

Schneider‐Muntau

et al. 2017

Nat. Hazards Earth Syst. Sci.

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“…For Betula laminifera the amount of values were 79.4 and -0.63 by Genet et al (2010). For Salix purpurea, which was studied by Bischetti et al (2009) therefore the difference in tensile strength is so obvious. As Nilaweera (1994) mentioned, the value of ߙ is between 29.1 and 87.0 and for ߚthe range is between -0.8 and -0.4, which is in agreement with this result.These differences imply that more studies should be conducted about the different species in different environmental conditions to gain more species model.…”

Section: Discussionmentioning

confidence: 95%

“…RAR investigated using a vertical trench profile wall method, set out in other studies (Bischetti et al, , 2009Greenwood et al, 2006;Abdi et al, 2010a, b;Ji et al, 2012;Schwarz et al, 2012). Four trees of A. mangium were selected along East-West highway, then one trench with a distance of 1 meter was dug (Abdi et al, 2010b).…”

Section: Root Area Ratiomentioning

confidence: 99%

“…Afterward all roots cut off and conserved in a plastic bag to preserve their moisture content (De Baets et al, 2008) and transfer to the laboratory in a refrigerated box . The roots were put in alcohol solution (15% ethanol) at a temperature of 4°C to conserve them for several months after data collecting (Bischetti et al, 2009). Vol.…”

Section: Root Tensile Strengthmentioning

confidence: 99%

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Investigation of Root Distribution and Tensile Strength of Acacia mangium Willd (Fabaceae) in the Rainforest

Lateh¹,

Avani²,

Ghassem³

2014

GJBS

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The purpose of this study is to complement the existing body of knowledge on the root system of tropical plants and their contribution to slope stability. For this reason, four trees of Acacia mangium selected as randomly in rainforest along East-West Highway, Malaysia. Root area ratio (RAR) and tensile strength (Tr) data were collected and analyzed. RAR data were measured with the whole root system and Tr were measured by individual roots. The results showed that there is a power law equation between root diameter and Tr, with an average of 44.11 Mpa (in average root diameter of 0.9mm). There was a wide variation in the RAR in relation to soil depth. Generally, RAR reduced with the increasing soil depth. Similarly, additional cohesion by plant roots conducted by Tr and RAR. In conclusion, in order to assess soil reinforcement by vegetation roots, root distribution and tensile strength data with soil depth in different vegetation and sites is necessary.

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“…where, r and r a are known respectively as the tensile strength of root and RAR, both specified per diameter class and is the number of class considered [17]. In tensor form, the Cauchy strain can be further written as follows.…”

Section: Mathematical Foundationmentioning

confidence: 99%

High-Order FEM Formulation for 3-D Slope Instability

Chandra¹,

Prakash²,

Yatabe³

2013

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High-order finite element method (FEM) formulation also referred to as spectral element method (SEM) formulation is currently implemented in this paper for 3-dimensional (3-D) elasto-plastic problems in stability assessment of largescale slopes (vegetated and barren slopes) in different instability conditions such as seismic and saturation. We have reviewed the SEM formulation, and have sought its applicability for vegetated slopes. Utilizing p (high-order polynomial degree or spectral degrees) and h (mesh operation for quality meshing in required elemental budgets) refining techniques in the existing FEM, the complexity of problem domain can be well addressed in greater numerical stability. Unlike the existing FEM formulation, this high-order FEM employs the same integration and interpolation points to achieve a progressive response of the instability, which drastically reduces the computational costs (formation of diagonalized mass matrix) and offers significant benefits to slope instability computations for serial and parallel implementations. With this formulation, we have achieved the following three qualities in slope instability modeling: 1) geometric flexibility of the finite elements, 2) high computational efficiency, and 3) reliable spectral accuracy. A sample problem has also been presented in this paper, which has accommodated all aforesaid numerical qualities.

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Root cohesion of forest species in the Italian Alps

Cited by 204 publications

References 49 publications

Sensitivity analysis and calibration of a dynamic physically based slope stability model

Sensitivity analysis and calibration of a dynamic physically based slope stability model

Investigation of Root Distribution and Tensile Strength of Acacia mangium Willd (Fabaceae) in the Rainforest

High-Order FEM Formulation for 3-D Slope Instability

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