Results 21 to 30 of about 25,373 (313)

Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model [PDF]

open access: yes, 2013
Mediterranean catchments in southern France are threatened by potentially devastating fast floods which are difficult to anticipate. In order to improve the skill of rainfall-runoff models in predicting such flash floods, hydrologists use data ...
C. Bouvier   +10 more
core   +1 more source

Rainfall-Runoff Modeling Using a Self-reforming Neuro-Fuzzy System

open access: yes, 2023
Rainfall-runoff modelling is one of the fundamental hydrological problems which is crucial for many applications including water resources management and flood forecasting.
YIK KANG ANG (14757187)
core   +1 more source

The PDM rainfall-runoff model [PDF]

open access: yesHydrology and Earth System Sciences, 2007
Abstract. The Probability Distributed Model, or PDM, has evolved as a toolkit of model functions that together constitute a lumped rainfall-runoff model capable of representing a variety of catchment-scale hydrological behaviours. Runoff production is represented as a saturation excess runoff process controlled by the absorption capacity (of the canopy,
openaire   +5 more sources

Development and Validation of Accumulation Term (Distributed and/or Point Source) in a Finite Element Hydrodynamic Model

open access: yesJournal of Marine Science and Engineering, 2023
During tropical storms, precipitation and associated rainfall-runoff can lead to significant flooding, in both the upland and coastal areas. Flooding in coastal areas is compounded by the storm surge.
Kendra M. Dresback   +4 more
doaj   +1 more source

Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez Catchment in Southern France [PDF]

open access: yes, 2012
The present study explores the application of a data assimilation (DA) procedure to correct the radar rain- fall inputs of an event-based, distributed, parsimonious hy- drological model.
Piacentini, Andrea   +14 more
core   +1 more source

Ensemble physically based semi-distributed models for the rainfall-runoff process modeling in the data-scarce Katar catchment, Ethiopia

open access: yesJournal of Hydroinformatics, 2023
This study evaluates the performance of the soil and water assessment tool (SWAT), the hydrologiska byråns vattenbalansavdelning (HBV) and the hydrologic engineering center-hydrologic modeling system (HEC-HMS) for modeling rainfall-runoff in the data ...
Gebre Gelete   +3 more
doaj   +1 more source

Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff

open access: yesAtmosphere, 2018
Accurate modeling for nonlinear and nonstationary rainfall-runoff processes is essential for performing hydrologic practices effectively. This paper proposes two hybrid machine learning models (MLMs) coupled with variational mode decomposition (VMD) to ...
Youngmin Seo   +2 more
doaj   +1 more source

Anatomy of extraordinary rainfall and flash flood in a Dutch lowland catchment [PDF]

open access: yes, 2011
On 26 August 2010 the eastern part of The Netherlands and the bordering part of Germany were struck by a series of rainfall events lasting for more than a day.
van der Velde, Y.   +20 more
core   +1 more source

A Comparison of Rainfall-Runoff Models [PDF]

open access: yesHydrology Research, 1980
Five different rainfall - runoff models including three sophisticated conceptual models (Sacramento, Stanford and Monash Models), a simple conceptual model (Boughton Model) and a black-box or purely mathematical method involving a recursive time series alogirithm were tested on three catchments in the south-west region of Western Australia.
R. H. B. Hebbert, W.D. Weeks
openaire   +1 more source

Modelling the rainfall–runoff data of susurluk basin

open access: yesExpert Systems with Applications, 2010
In this study, rainfall-runoff relationship was tried to be set up by using Artificial Neural Networks (ANN) and Adaptive Neuro Fuzzy Interference Systems (ANFIS) models at Flow Observation Stations (FOS) on seven streams where runoff measurement has been made for long years in Susurluk Basin.
Dorum, Atila   +3 more
openaire   +2 more sources

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