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A general methodology is presented to integrate complex simulation models of hydrological systems into optimization models, as an alternative to scenario-based approaches. A gradient-based hill climbi...
The hydrological response of a medium scale mountainous watershed (Mexico) is analysed over half a century. The hydrograph separation highlights an increasing surface runoff contribution since the ear...
The hydrological response of a medium scale mountainous watershed (Mexico) is analysed over half a century. The hydrograph separation highlights an increasing surface runoff contribution since the ear...
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...
Real time operation studies such as reservoir operation, flood forecasting, etc., necessitates good forecasts of the associated hydrologic variable(s). A significant improvement in such forecasting ca...
Most neural network hydrological modelling has used split-sample validation to ensure good out-of-sample generalisation and thus safeguard each potential solution against the danger of overfitting. Ho...
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...
The last decade has seen increasing interest in the application of Artificial Neural Networks (ANNs) for the modelling of the relationship between rainfall and streamflow. Since multi-layer, feed-forw...
A preliminary map of variability of annual runoff in Norway has been prepared based on estimates of the coefficient of variation cv for 56 non-regulated discharge stations having more than 35 years ...
A digital model has been devcloped for the simulation of the rainfall - runoff process of rural watersheds. Input data are daily values of prccipitation and temperature together with mean monthly po...
This progress report outlines the main principles for the development of a simple conceptual rainfall-runoff model at the Swedish Meteorological and Hydrological Institute. The HBV-2 Model is based...
Following the development of rainfall-runoff models the attention of the international hydrologic program is now increasingly focused on the snowmelt- runoff. The present simple model is based on ta...
Runoff is a difficult variable to map because the information from river gauging stations only indicates average runoff from the catchment area above the gauging point. A method of mapping runoff by...
Earth resources satellites have provided a means for the timely, efficient, and accurate monitoring of watershed snowcovered area. Several techniques are available for analysing the data ranging fro...
The surface runoff model, based on the concept of uniform nonlinearity (Dooge 1967), has three parameters. It is shown that these parameters can be estimated from the informaion that can be easily o...

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