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]
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
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]
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
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]
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
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
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]
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]
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
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

