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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…
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Keywords:
wavelet ann;
rainfall runoff;
ann wann;
ann ... See more keywords
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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…
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Keywords:
toolbox;
multi model;
framework;
model ... See more keywords
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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…
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Keywords:
using copula;
event based;
based rainfall;
model ... See more keywords
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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…
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Keywords:
rainfall runoff;
optimization;
runoff model;
runoff ... See more keywords
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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…
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Keywords:
nitrogen phosphorus;
first flush;
runoff;
rainfall ... See more keywords
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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…
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Keywords:
erm model;
model analysis;
model;
analysis adaptation ... See more keywords
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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…
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Keywords:
runoff;
rainfall runoff;
topmodel;
xin anjiang ... See more keywords
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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…
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Keywords:
rainfall runoff;
river basin;
runoff modeling;
runoff ... See more keywords
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1
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…
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Keywords:
yield conditions;
effects rainfall;
runoff;
rainfall runoff ... See more keywords
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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…
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Keywords:
runoff erosivity;
climate;
rainfall runoff;
rainfall ... See more keywords
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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…
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Keywords:
rainfall runoff;
model;
bayesian model;
fixed flexible ... See more keywords