5 Result(s)
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Article
Prediction of Irrigation Water Quality Indices Using Random Committee, Discretization Regression, REPTree, and Additive Regression
This study aims to evaluate the performance of four ensemble machine learning methods, i.e., Random Committee, Discretization Regression, Reduced Error Pruning Tree, and Additive Regression, to estimate water ...
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Article
Modeling the monthly pan evaporation rates using artificial intelligence methods: a case study in Iraq
In arid areas, the estimation of evaporation rates plays a considerable role on both water resources management and agricultural activities. Hence, it is of utmost importance to determine the best model to pre...
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Article
Modelling the root zone soil moisture using artificial neural networks, a case study
Surface soil moisture constitutes a major component in the Earth’s water cycle. In many cases, modelling and predicting soil moisture represent a serious problem in water resources field due to the problematic...
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Article
Runoff and sediment yield modeling by means of WEPP in the Bautzen dam catchment, Germany
Soil erosion by water is one of the most widespread forms of soil degradation in Europe. There are many undesirable consequences of soil erosion due to water such as loss of water storage capacity in reservoi...
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Article
Assessing the Impacts of Climate Change on Hydrology of the Upper Reach of the Spree River: Germany
The aim of this study was to assess the potential impacts of future climate change on the hydrological response in the upper reach of the Spree River catchment using the Soil and Water Assessment Tool (SWAT). ...
