Including spatially variable effective soil depths in TOPMODEL

Saulnier, Georges-Marie; Beven, Keith; Obled, Charles

doi:10.1016/s0022-1694(97)00059-0

Cited by 180 publications

(104 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Accurate geological and land-use maps (Figure 2), resulting from air photo analysis, field surveys and site investigations, have been used for the evaluation of the spatial variation of some specific parameters. For instance, the estimation of soil thickness (Figure 10) has been performed by correlating soil depth to the local slope angle (Saulnier et al 1997):…”

Section: Evaluation Of Trigrs Input Parameters and Assumptions In Thementioning

confidence: 99%

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Schilirò

Cevasco

Esposito

et al. 2018

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

In the last years, great efforts have been made to improve the assessment of the temporal and spatial occurrence of rainfall-induced shallow landslides. Therefore, in this paper we used a physically based stability model (TRIGRS) in order to reproduce the landslide event occurred in the Monterosso catchment (Cinque Terre, Eastern Liguria, Italy) on 25 October 2011. The input parameters of the numerical model have been evaluated taking into account the land-use setting and paying specific attention to the evaluation of the spatial variation of soil thickness on terraced areas. The resulting safety factor maps have been compared with the inventory map of the landslides triggered during the event. The simulation results, which have been obtained also considering four different spatial resolutions of the digital terrain model, emphasize the influence of land use in shallow landslide occurrence and indicate the importance of a realistic spatial variation of soil thickness to enhance the reliability of the model. Finally, different triggering scenarios have been defined using hourly rainfall values statistically derived from historical data. The results indicate the proneness of the area to shallow landsliding, given that rainfall events with a relatively low return period (e.g. 25 years) can trigger numerous slope failures.

show abstract

Section: Evaluation Of Trigrs Input Parameters and Assumptions In Thementioning

confidence: 99%

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Schilirò

Cevasco

Esposito

et al. 2018

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

show abstract

“…V W max represents the absolute maximum water content of the aquifer on the whole investigated area; the maximum water content on each cell is estimated based on V W max and on the slope (Saulnier et al, 1997). R f is a multiplicative factor in the Darcy equation used to estimate the flux per unit area between two contiguous cells and mainly takes care of differentiating the saturated vertical and horizontal conductivity.…”

Section: Parametermentioning

confidence: 99%

Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data

Silvestro

Gabellani

Rudari

et al. 2015

Hydrol. Earth Syst. Sci.

113

View full text Add to dashboard Cite

Abstract. During the last decade the opportunity and usefulness of using remote-sensing data in hydrology, hydrometeorology and geomorphology has become even more evident and clear. Satellite-based products often allow for the advantage of observing hydrologic variables in a distributed way, offering a different view with respect to traditional observations that can help with understanding and modeling the hydrological cycle. Moreover, remote-sensing data are fundamental in scarce data environments. The use of satellite-derived digital elevation models (DEMs), which are now globally available at 30 m resolution (e.g., from Shuttle Radar Topographic Mission, SRTM), have become standard practice in hydrologic model implementation, but other types of satellite-derived data are still underutilized. As a consequence there is the need for developing and testing techniques that allow the opportunities given by remote-sensing data to be exploited, parameterizing hydrological models and improving their calibration.In this work, Meteosat Second Generation land-surface temperature (LST) estimates and surface soil moisture (SSM), available from European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) H-SAF, are used together with streamflow observations (S. N.) to calibrate the Continuum hydrological model that computes such state variables in a prognostic mode. The first part of the work aims at proving that satellite observations can be exploited to reduce uncertainties in parameter calibration by reducing the parameter equifinality that can become an issue in forecast mode. In the second part, four parameter estimation strategies are implemented and tested in a comparative mode: (i) a multi-objective approach that includes both satellite and ground observations which is an attempt to use different sources of data to add constraints to the parameters; (ii and iii) two approaches solely based on remotely sensed data that reproduce the case of a scarce data environment where streamflow observation are not available; (iv) a standard calibration based on streamflow observations used as a benchmark for the others.Two Italian catchments are used as a test bed to verify the model capability in reproducing long-term (multi-year) simulations.The results of the analysis evidence that, as a result of the model structure and the nature itself of the catchment hydrologic processes, some model parameters are only weakly dependent on discharge observations, and prove the usefulness of using data from both ground stations and satellites to additionally constrain the parameters in the calibration process and reduce the number of equifinal solutions.

show abstract

“…To estimate the spatial variation of soil thickness, the model proposed by Saulnier et al (1997) was applied to the study area (Fig. 7a).…”

Section: Parameterization Of the Numerical Modelmentioning

confidence: 99%

“…The maximum and minimum values of slope and soil thickness, which were measured within the source areas of the shallow landslides triggered during the 1 October 2009 event, are equal to 58-17 • and 1.5-0.5 m respectively, and they can be considered reliable since the 2009 landslides mostly involved the entire soil profile. Although the model proposed by Saulnier et al (1997) relies heavily on geomorphological simplifications, it is frequently used to estimate a spatially distributed soil depth field in basin scale modeling (e.g., Salciarini et al, 2006). To reproduce the spatial rainfall distribution of the 1 October 2009 rainstorm, the conditional merging technique (Ehret, 2002;Pegram, 2003) has been chosen as the interpolation method.…”

Section: Parameterization Of the Numerical Modelmentioning

confidence: 99%

Evaluation of shallow landslide-triggering scenarios through a physically based approach: an example of application in the southern Messina area (northeastern Sicily, Italy)

Schilirò

Esposito

Mugnozza

2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Rainfall-induced shallow landslides are a widespread phenomenon that frequently causes substantial damage to property, as well as numerous casualties. In recent years a wide range of physically based models have been developed to analyze the triggering process of these events. Specifically, in this paper we propose an approach for the evaluation of different shallow landslide-triggering scenarios by means of the TRIGRS (transient rainfall infiltration and grid-based slope stability) numerical model. For the validation of the model, a back analysis of the landslide event that occurred in the study area (located SW of Messina, northeastern Sicily, Italy) on 1 October 2009 was performed, by using different methods and techniques for the definition of the input parameters. After evaluating the reliability of the model through comparison with the 2009 landslide inventory, different triggering scenarios were defined using rainfall values derived from the rainfall probability curves, reconstructed on the basis of daily and hourly historical rainfall data. The results emphasize how these phenomena are likely to occur in the area, given that even short-duration (1-3 h) rainfall events with a relatively low return period (e.g., 10-20 years) can trigger numerous slope failures. Furthermore, for the same rainfall amount, the daily simulations underestimate the instability conditions. The high susceptibility of this area to shallow landslides is testified by the high number of landslide/flood events that have occurred in the past and are summarized in this paper by means of archival research. Considering the main features of the proposed approach, the authors suggest that this methodology could be applied to different areas, even for the development of landslide early warning systems.

show abstract

Including spatially variable effective soil depths in TOPMODEL

Cited by 180 publications

References 22 publications

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data

Evaluation of shallow landslide-triggering scenarios through a physically based approach: an example of application in the southern Messina area (northeastern Sicily, Italy)

Contact Info

Product

Resources

About