General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling

Gabellani, Simone; Silvestro, Francesco; Rudari, Roberto; Boni, Giorgio

doi:10.5194/nhess-8-1317-2008

Cited by 44 publications

(37 citation statements)

References 21 publications

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“…The parameters c t and c f regulate the dynamics of saturation at cell scale. Since both f 0 and V max are distributed parameters estimated as functions of curve number (Gabellani et al, 2008), the pattern of f 1 and V fc is spatially modulated by the pattern of curve number maps (Silvestro et al, 2013) which are a synthetic representation of the local soil properties.…”

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.

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115

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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.

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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.

Self Cite

115

View full text Add to dashboard Cite

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“…It uses a modified Horton method to simulate the infiltration process (Gabellani et al, 2008) and considers the soil a porous medium schematized as a reservoir with two parameters: V max and f 0 . The first represents the soil-water capacity expressed in millimetres (mm), the latter is the initial infiltration capacity for a dry soil expressed in millimetres per hour (mm/h).…”

Section: Initial Soil Moisturementioning

confidence: 99%

Towards a definition of a real-time forecasting network for rainfall induced shallow landslides

Segoni

Leoni

Benedetti

et al. 2009

Nat. Hazards Earth Syst. Sci.

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Abstract. PREVIEW is an European Commission FP6 Integrated Project with the aim of developing, at an European level, innovative geo-information services for atmospheric, geophysical and man-made risks. Within this framework, the Landslides Platform Service 2 (forecasting of shallow rapid slope movements) has developed an integrated procedure for the forecasting and warning of distributed shallow landsliding to be used for civil protection purposes.The Service consists of an automated end-to-end forecasting chain which uses data from a probabilistic downscaled short-term rainfall forecast, soil saturation estimates and meteorological radar outputs. The above data are entered into a hydro-geological model that makes use of an infinite slope approach to calculate the distributed Factor of Safety over the entire basin. All outputs, and much of the input data, are shown on a WebGIS system so that end-users can interactively access and download data. A distinctive feature of the service is the use of an innovative soil depth model for predicting the distributed thickness of the regolith cover within the basin, which is one of the most important parameters controlling shallow landslide triggering.The service was developed in a pilot test site in NE Italy, the Armea basin. Validation makes use of two rainfall events: one that occurred in 2000 and a smaller, more recent event (2006) that caused fewer landslides. Rainfall data have been used to compute a distributed factor-of-safety map that has been overlaid onto the landslide inventory. Instead of a traditional validation approach based on the number count of correctly identified landslides, we carried out an alternative procedure based on the landslides area that gave outcomes which, for this preliminary stage of the research, can be considered promising.

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“…Ponce and Hawkins, 1996;Michel et al, 2005;Sahu et al, 2007) as well as the infiltration (e.g. Gabellani et al, 2008;Grimaldi et al, 2013) and baseflow (e.g. Coustau et al, 2012) processes.…”

Section: Flood Flows: Hortonian or Something More?mentioning

confidence: 99%

Flood design recipes vs. reality: can predictions for ungauged basins be trusted?

Efstratiadis

Koussis

Koutsoyiannis

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Despite the great scientific and technological advances in flood hydrology, everyday engineering practices still follow simplistic approaches that are easy to formally implement in ungauged areas. In general, these "recipes" have been developed many decades ago, based on field data from typically few experimental catchments. However, many of them have been neither updated nor validated across all hydroclimatic and geomorphological conditions. This has an obvious impact on the quality and reliability of hydrological studies, and, consequently, on the safety and cost of the related flood protection works. Preliminary results, based on historical flood data from Cyprus and Greece, indicate that a substantial revision of many aspects of flood engineering procedures is required, including the regionalization formulas as well as the modelling concepts themselves. In order to provide a consistent design framework and to ensure realistic predictions of the flood risk (a key issue of the 2007/60/EU Directive) in ungauged basins, it is necessary to rethink the current engineering practices. In this vein, the collection of reliable hydrological data would be essential for re-evaluating the existing "recipes", taking into account local peculiarities, and for updating the modelling methodologies as needed.

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General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling

Cited by 44 publications

References 21 publications

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

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

Towards a definition of a real-time forecasting network for rainfall induced shallow landslides

Flood design recipes vs. reality: can predictions for ungauged basins be trusted?

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