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Rainfall-runoff modelling using adaptive neuro-fuzzy systems
Rainfall-runoff modelling adaptive neuro-fuzzy systems
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2009/12/4
Two important applications of rainfall-runoff models are forecasting and simulation. At present, rainfall-runoff models based on artificial intelligence methods are built basically for short-term fore...
Identification of support vector machines for runoff modelling
Identification support vector machines runoff modelling
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2009/12/4
This paper describes an exploration in using SVM (Support Vector Machine) models, which were initially developed in the Machine Learning community, in flood forecasting, with the focus on the identifi...
Experiments of Conceptual Mathematical Groundwater Dynamics and Runoff Modelling in Latvia
Conceptual Mathematical Groundwater Dynamics Runoff Modelling
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2009/10/26
A mathematical model METUL for estimating the daily groundwater level and
drainage, surface and subsurface runoff in small areas is described. Input data
for the model are daily mean values of air t...
Preliminary Considerations for Runoff Modelling in GCMS
Preliminary Considerations Runoff Modelling GCMS
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2009/10/26
Modelling of runoff' in GCMs is a two-stage process: first, a residual water
amount resulting from precipitation, evapotranspiration, snowmelt, infiltration
and soil moisture movement at each time s...
Rainfall Runoff Modelling Based on Genetic Programming
Rainfall Runoff Modelling Genetic Programming
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2009/10/22
The runoff formation process is believed to be highly non-linear, time varying,
spatially distributed, and not easily described by simple models. Considerable
time and effort has been directed to mo...
Rainfall-runoff modelling in a catchment with a complex groundwater flow system：application of the Representative Elementary Watershed (REW) approach
Representative Elementary Watershed Rainfall-runoff groundwater flow system
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2009/5/18
Based on the Representative Elementary Watershed (REW) approach, the modelling tool REWASH (Representative Elementary WAterShed Hydrology) has been developed and applied to the Geer river basin. REWAS...
Constraints of artificial neural networks for rainfall-runoff modelling：trade-offs in hydrological state representation and model evaluation
neural networks rainfall-runoff modelling
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2009/5/18
The application of Artificial Neural Networks (ANNs) in rainfall-runoff modelling needs to be researched more extensively in order to appreciate and fulfil the potential of this modelling approach. Th...
CLASSIC：a semi-distributed rainfall-runoff modelling system
rainfall-runoff modelling system semi-distributed
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2009/5/6
This paper describes the development of a semi-distributed conceptual rainfall–runoff model, originally formulated to simulate impacts of climate and land-use change on flood frequency. The model has ...
Spatio-temporal precipitation error propagation in runoff modelling:a case study in central Sweden
Spatio-temporal precipitation error propagation runoff modelling central Sweden
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2009/12/29
The propagation of spatio-temporal errors in precipitation estimates to runoff errors in the output from the conceptual hydrological HBV model was investigated. The study region was the Gimån ca...