Articles with "rainfall runoff" as a keyword



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Emotional ANN (EANN) and Wavelet-ANN (WANN) Approaches for Markovian and Seasonal Based Modeling of Rainfall-Runoff Process

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Published in 2018 at "Water Resources Management"

DOI: 10.1007/s11269-018-2000-y

Abstract: The hydrological time series have three principle components (autoregressive, seasonality and trend) and the performance of the models is strongly related to the nature of these components. The current research examines the accuracy of two… read more here.

Keywords: wavelet ann; rainfall runoff; ann wann; ann ... See more keywords
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A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox

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Published in 2019 at "Water Resources Management"

DOI: 10.1007/s11269-019-02283-y

Abstract: We present a framework and toolbox for multi-model (one at a time) nonstationary modeling of rainfall-runoff (RR) transformation. The designed time-varying nature of the five available conceptual RR models in the toolbox allows for modeling… read more here.

Keywords: toolbox; multi model; framework; model ... See more keywords
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Probabilistic Event Based Rainfall-Runoff Modeling Using Copula Functions

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Published in 2019 at "Water Resources Management"

DOI: 10.1007/s11269-019-02339-z

Abstract: Multivariate probability analysis of hydrological elements using copula functions can significantly improve the modeling of complex phenomena by considering several dependent variables simultaneously. The main objectives of this study were to: (i) develop a stand-alone… read more here.

Keywords: using copula; event based; based rainfall; model ... See more keywords
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Joint Optimization of Conceptual Rainfall-Runoff Model Parameters and Weights Attributed to Meteorological Stations

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Published in 2019 at "Water Resources Management"

DOI: 10.1007/s11269-019-02368-8

Abstract: Conceptual lumped rainfall-runoff models are frequently used for various environmental problems. To put them into practice, both the model calibration method and data series of the area-averaged precipitation and air temperature are needed. In the… read more here.

Keywords: rainfall runoff; optimization; runoff model; runoff ... See more keywords
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First flush characteristics of rainfall runoff from a paddy field in the Taihu Lake watershed, China

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Published in 2017 at "Environmental Science and Pollution Research"

DOI: 10.1007/s11356-017-8470-2

Abstract: Nonpoint storm runoff remains a major threat to surface water quality in China. As a paddy matures, numerous fertilizers are needed, especially in the rainy seasons; the concentration of nitrogen and phosphorus in rainfall runoff… read more here.

Keywords: nitrogen phosphorus; first flush; runoff; rainfall ... See more keywords
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ERM model analysis for adaptation to hydrological model errors

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Published in 2018 at "Acta Geophysica"

DOI: 10.1007/s11600-018-0137-y

Abstract: Hydrological conditions are changed continuously and these phenomenons generate errors on flood forecasting models and will lead to get unrealistic results. Therefore, to overcome these difficulties, a concept called model updating is proposed in hydrological… read more here.

Keywords: erm model; model analysis; model; analysis adaptation ... See more keywords
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Comparison between the TOPMODEL and the Xin’anjiang model and their application to rainfall runoff simulation in semi-humid regions

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Published in 2018 at "Environmental Earth Sciences"

DOI: 10.1007/s12665-018-7477-4

Abstract: To study the application of the TOPMODEL and the Xin’anjiang model to rainfall runoff simulation in semi-humid regions, the Holtan excess infiltration runoff module was added to the TOPMODEL structure. The basin of the Heihe… read more here.

Keywords: runoff; rainfall runoff; topmodel; xin anjiang ... See more keywords
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Performance of optimum neural network in rainfall–runoff modeling over a river basin

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Published in 2018 at "International Journal of Environmental Science and Technology"

DOI: 10.1007/s13762-018-1726-7

Abstract: An optimum architecture backpropagation neural network for rainfall–runoff modeling is rarely visible in terms of number of input vector, hidden neurons, learning rate, momentum factor, number of epochs for training up to global minima, and… read more here.

Keywords: rainfall runoff; river basin; runoff modeling; runoff ... See more keywords
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Effects of rainfall and runoff-yield conditions on runoff

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Published in 2020 at "Ain Shams Engineering Journal"

DOI: 10.1016/j.asej.2020.10.010

Abstract: Abstract To reveal the effects of rainfall and runoff-yield conditions on runoff, the abrupt change of the correlation between rainfall and runoff is discussed. Then, according to the correlation between rainfall and runoff with the… read more here.

Keywords: yield conditions; effects rainfall; runoff; rainfall runoff ... See more keywords
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Spatio-temporal variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West Africa

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Published in 2019 at "CATENA"

DOI: 10.1016/j.catena.2018.09.003

Abstract: Abstract Spatio-temporal variation in rainfall-runoff erosivity resulting from changes in rainfall characteristics due to climate change has implications for soil and water conservation in developing countries. Understanding past and future variations in rainfall-runoff erosivity and… read more here.

Keywords: runoff erosivity; climate; rainfall runoff; rainfall ... See more keywords
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Bayesian Model Averaging With Fixed and Flexible Priors: Theory, Concepts, and Calibration Experiments for Rainfall‐Runoff Modeling

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Published in 2020 at "Journal of Advances in Modeling Earth Systems"

DOI: 10.1029/2019ms001924

Abstract: This paper introduces for the first time the concept of Bayesian model averaging (BMA) with multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model proposed by Raftery et al. (2005, https://doi.org.10.1175/MWR2906.1) assumes that… read more here.

Keywords: rainfall runoff; model; bayesian model; fixed flexible ... See more keywords