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A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi–Sugeno fuzzy system
TLDR
The first-order Takagi–Sugeno fuzzy system is introduced and explained as the fourth combination method (besides other three combination methods tested earlier) to combine together the simulation results of five different conceptual rainfall-runoff models in a flood forecasting study on eleven catchments. Expand
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An empirical method to improve the prediction limits of the GLUE methodology in rainfall–runoff modeling
TLDR
We propose to modify the original GLUE methodology by applying a new procedure designed to at least partially correct the simulation/prediction of the hydrological model prior to the derivation of the prediction limits at each time step, in an attempt to improve the efficiency of the GLUE prediction limits in enveloping the real-world observations. Expand
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Indices for assessing the prediction bounds of hydrological models and application by generalised likelihood uncertainty estimation / Indices pour évaluer les bornes de prévision de modèles
Abstract To reflect the uncertainties of a hydrological model in simulating and forecasting observed discharges according to rainfall inputs, the estimated result for each time step should not beExpand
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Comparison of four updating models for real-time river flow forecasting
TLDR
Four different error-forecast updating models are investigated in terms of their capability of providing real-time river flow forecast accuracy superior to that of rainfall-runoff models applied in the simulation (nonupdating) mode. Expand
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Flood season segmentation based on the probability change-point analysis technique
Abstract The segmentation of flood seasons has both theoretical and practical importance in hydrological sciences and water resources management. The probability change-point analysis technique isExpand
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Temporal Change Analysis Based on Data Characteristics and Nonparametric Test
Based on data characteristics and nonparametric test, a new statistical temporal change analysis approach is proposed. The new approach consists of data characteristics analysis, temporal changeExpand
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Attributing runoff changes to climate variability and human activities: uncertainty analysis using four monthly water balance models
Hydrological simulations to delineate the impacts of climate variability and human activities are subjected to uncertainties related to both parameter and structure of the hydrological models. ToExpand
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  • 1
Optimisation of water-energy nexus based on its diagram in cascade reservoir system
TLDR
A water-energy nexus diagram according to water and energy flow in every sector was proposed to quantify interactions of the nexus for the cross-sectional connection in a cascade reservoir system. Expand
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A nonlinear perturbation model based on artificial neural network
Summary The objective of this study is to develop a nonlinear perturbation model (NLPM) based on artificial neural network (ANN), defined as NLPM-ANN, for the purpose of improving the rainfall–runoffExpand
  • 17
Quantitative assessment of adaptive measures on optimal water resources allocation by using reliability, resilience, vulnerability indicators
  • Hui Zou, Dedi Liu, +6 authors Y. Shen
  • Environmental Science
  • Stochastic Environmental Research and Risk…
  • 18 November 2019
Water resources allocation is facing great challenge, since hydrological series have shown non-stationarity with high uncertainty due to climate change and human activities. Adaptive measures areExpand
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