Sensitivity analysis of main variables present in flash flood processes. Application in two Spanish catchments: Arás and Aguilón

Mateo-Lázaro, Jesús; Navarro, José Ángel Sánchez; García‐Gil, Alejandro; Romero, Vanesa Edo

doi:10.1007/s12665-013-2668-5

Cited by 19 publications

(8 citation statements)

References 47 publications

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“…The same is true of the temporal variability of the saturated regions, which strongly controls the shape of the flood frequency curve (Rogger, Viglione, Derx, & Blöschl, 2013), especially in mesoscale catchments affected by frontal precipitation events. For determining magnitudes of flash floods, wetness conditions can be even more important than the temporal distribution of storms (Lázaro, Sánchez Navarro, García Gil, & Edo Romero, 2014).…”

Section: The Role Of Antecedent Wetness Statementioning

confidence: 99%

Causative classification of river flood events

Tarasova

Merz

Kiss³

et al. 2019

WIREs Water

124

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A wide variety of processes controls the time of occurrence, duration, extent, and severity of river floods. Classifying flood events by their causative processes may assist in enhancing the accuracy of local and regional flood frequency estimates and support the detection and interpretation of any changes in flood occurrence and magnitudes. This paper provides a critical review of existing causative classifications of instrumental and preinstrumental series of flood events, discusses their validity and applications, and identifies opportunities for moving toward more comprehensive approaches. So far no unified definition of causative mechanisms of flood events exists. Existing frameworks for classification of instrumental and preinstrumental series of flood events adopt different perspectives: hydroclimatic (large‐scale circulation patterns and atmospheric state at the time of the event), hydrological (catchment scale precipitation patterns and antecedent catchment state), and hydrograph‐based (indirectly considering generating mechanisms through their effects on hydrograph characteristics). All of these approaches intend to capture the flood generating mechanisms and are useful for characterizing the flood processes at various spatial and temporal scales. However, uncertainty analyses with respect to indicators, classification methods, and data to assess the robustness of the classification are rarely performed which limits the transferability across different geographic regions. It is argued that more rigorous testing is needed. There are opportunities for extending classification methods to include indicators of space–time dynamics of rainfall, antecedent wetness, and routing effects, which will make the classification schemes even more useful for understanding and estimating floods. This article is categorized under: Science of Water > Water Extremes Science of Water > Hydrological Processes Science of Water > Methods

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Section: The Role Of Antecedent Wetness Statementioning

confidence: 99%

Causative classification of river flood events

Tarasova

Merz

Kiss³

et al. 2019

WIREs Water

124

View full text Add to dashboard Cite

show abstract

“…Rainfall excess is transferred to the catchment outlet using the Saint-Venant equations simplified with kinematic wave assumptions. The model distinguishes grid cells with a drainage network, where channel flow is calculated on a triangular channel section (Maubourguet et al, 2007) from grid cells on hillslopes and where the overland flow is calculated for the entire surface area of the cell.…”

Section: The Marine Modelmentioning

confidence: 99%

Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods

Douinot

Roux

Garambois

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. A method of multiple working hypotheses was applied to a range of catchments in the Mediterranean area to analyse different types of possible flow dynamics in soils during flash flood events. The distributed, process-oriented model, MARINE, was used to test several representations of subsurface flows, including flows at depth in fractured bedrock and flows through preferential pathways in macropores. Results showed the contrasting performances of the submitted models, revealing different hydrological behaviours among the catchment set. The benchmark study offered a characterisation of the catchments' reactivity through the description of the hydrograph formation. The quantification of the different flow processes (surface and intra-soil flows) was consistent with the scarce in situ observations, but it remains uncertain as a result of an equifinality issue. The spatial description of the simulated flows over the catchments, made available by the model, enabled the identification of counterbalancing effects between internal flow processes, including the compensation for the water transit time in the hillslopes and in the drainage network. New insights are finally proposed in the form of setting up strategic monitoring and calibration constraints.

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“…The SHEE (Simulation of Hydrological Extreme Events) package is an adaptation of traditional hydrological models to DEMs and databases. It has resulted in several publications, including those related to hydrology [2,[39][40][41][42][43][44][45][46], and it uses powerful libraries (e.g., OpenGL, GDI, GDAL, Proj4) for the management and display of DEM and datasets. Additionally, its interface provides rapid and high quality OPENGL graphics, in both RASTER and VECTOR formats.…”

Section: Introductionmentioning

confidence: 99%

New Analysis Method for Continuous Base-Flow and Availability of Water Resources Based on Parallel Linear Reservoir Models

Mateo-Lázaro

Castillo-Mateo

Navarro

et al. 2018

Water

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Water flows in the hydrosphere through a tangled and tortuous labyrinth of ways that is the hydrological cycle. Flow separation models are an attempt to group such complexity of paths into a few components of flow and storage so as to reflect the overall behaviour of a basin. A new method of analysis and separation of flow components, based on equations of dynamic relations between Linear Reservoirs connected in Parallel (PLR models), is developed in this article. A synthesis of models based on mathematical filter equations is carried out in order to make comparisons with the proposed model. Reference is also made to the methodology of adjustment and calibration of the PLR models based on the recession curves of the real hydrographs. The models are tested with the continuous register of a basin located in the northeast of Spain. The simulations are carried out with two reservoir models (2R models), three reservoirs (3R models) and with a mathematical filter model to compare the results. With the results of the models, flow duration curves (FDCs) and storage duration curves (SDCs) were elaborated, thus allowing assessment of the origin of the water resources of the basin, a guarantee of their regulation and availability, the dynamic storage in the catchment, residence times and other features.

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Sensitivity analysis of main variables present in flash flood processes. Application in two Spanish catchments: Arás and Aguilón

Cited by 19 publications

References 47 publications

Causative classification of river flood events

Causative classification of river flood events

Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods

New Analysis Method for Continuous Base-Flow and Availability of Water Resources Based on Parallel Linear Reservoir Models

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