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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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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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Yu-Pin Lin, Yu-Wen Chen, Liang-Cheng Chang, Ming-Sheng Yeh, Guo-Hao Huang, Joy R. Petway
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This study presents an approach for obtaining limited sets of realizations of hydraulic conductivity (K) of multiple aquifers using simulated annealing (SA) simulation and spatial correlations among aquifers to simulate realizations of hydraulic heads an...
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Jamilatou Chaibou Begou, Seifeddine Jomaa, Sihem Benabdallah, Pibgnina Bazie, Abel Afouda and Michael Rode
The objective of this study was to assess the performance and predictive uncertainty of the Soil and Water Assessment Tool (SWAT) model on the Bani River Basin, at catchment and subcatchment levels. The SWAT model was calibrated using the Generalized Lik...
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Mousong Wu, Per-Erik Jansson, Xiao Tan, Jingwei Wu, Jiesheng Huang
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Water and energy processes in frozen soils are important for better understanding hydrologic processes and water resources management in cold regions. To investigate the water and energy balance in seasonally frozen soils, CoupModel combined with the gen...
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Younghun Jung, Venkatesh Merwade, Soojun Kim, Narae Kang, Yonsoo Kim, Keonhaeng Lee, Gilho Kim and Hung Soo Kim
Generalized likelihood uncertainty estimation (GLUE) is one of the widely-used methods for quantifying uncertainty in flood inundation mapping. However, the subjective nature of its application involving the definition of the likelihood measure and the c...
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Younghun Jung, Venkatesh Merwade, Kyudong Yeo, Yongchul Shin and Seung Oh Lee
Collection and investigation of flood information are essential to understand the nature of floods, but this has proved difficult in data-poor environments, or in developing or under-developed countries due to economic and technological limitations. The ...
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