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Qian Cao, Jiashun Cao and Runze Xu
Low-impact development (LID) practices have been recognized as a promising strategy to control urban stormwater runoff and non-point source pollution in urban ecosystems. However, many experimental and modeling efforts are required to tailor an effective...
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Mahdi Nakhaei, Fereydoun Ghazban, Pouria Nakhaei, Mohammad Gheibi, Stanislaw Waclawek and Mehdi Ahmadi
Precise forecasting of streamflow is crucial for the proper supervision of water resources. The purpose of the present investigation is to predict successive-station streamflow using the Gated Recurrent Unit (GRU) model and to quantify the impact of inpu...
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Akram Seifi, Soudabeh Golestani Kermani, Amir Mosavi and Fatemeh Soroush
Quantitatively analyzing models? uncertainty is essential for agricultural models due to the effect of inputs parameters and processes on increasing models? uncertainties. The main aim of the current study was to explore the influence of input parameter ...
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Amirreza Sharifi, Sangchul Lee, Gregory W. McCarty, Megan W. Lang, Jaehak Jeong, Ali M. Sadeghi and Martin C. Rabenhorst
The Agricultural Policy/Environmental eXtender (APEX) model has been widely used to assess changes in agrochemical loadings in response to conservation and management led by US Department of Agriculture (USDA). However, the existing APEX model is limited...
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Samuel Bansah, Samuel Ato Andam-Akorful, Jonathan Quaye-Ballard, Matthew Coffie Wilson, Solomon Senyo Gidigasu and Geophrey K. Anornu
Using d18O and d2H in mean transit time (MTT) modeling can ensure the verifiability of results across catchments. The main objectives of this study were to (i) evaluate the d18O- and d2H-based behavioral transit time distributions and (ii) assess if d18O...
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Maojun Cao, Yu Dai, Ling Zhao, Yuele Jia and Yueru Jia
Combining the advantages of multicontinuum and multifracture representations provides an easy-to-use tool to adequately capture the characteristic of the multiscaled fracture system in shale gas reservoir. A hybrid model is established on the basis of si...
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Diego Urdiales, Francisco Meza, Jorge Gironás and Horacio Gilabert
Stochastic weather simulation, or weather generators (WGs), have gained a wide acceptance and been used for a variety of purposes, including climate change studies and the evaluation of climate variability and uncertainty effects. The two major challenge...
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Ye Tian, Yue-Ping Xu, Zongliang Yang, Guoqing Wang and Qian Zhu
This study applied a GR4J model in the Xiangjiang and Qujiang River basins for rainfall-runoff simulation. Four recurrent neural networks (RNNs)?the Elman recurrent neural network (ERNN), echo state network (ESN), nonlinear autoregressive exogenous input...
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Phuong Cu Thi, James E Ball and Ngoc Hung Dao
In the last few decades tremendous progress has been made in the use of catchment models for the analysis and understanding of hydrologic systems. A common application involves the use of these models to predict flows at catchment outputs. However, the o...
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Fubo Zhao, Yiping Wu, Linjing Qiu, Yuzhu Sun, Liqun Sun, Qinglan Li, Jun Niu and Guoqing Wang
Hydrological models play an important role in water resource management, but they always suffer from various sources of uncertainties. Therefore, it is necessary to implement uncertainty analysis to gain more confidence in numerical modeling. The study e...
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