Abstract
Models are common tools for water resources problems. They are used in theoretical research for understanding the complex processes controlling water resources problems. Numerical models are also used in practical applications for several purposes such as predictive studies, management, designing systems and making decisions. Among different existing approaches, physics-based or mechanistic models are of significant importance (Miller et al., 2013). Despite the fact that mechanistic models require numerical techniques for solving the governing equations, they are irreplaceable in studies involving spatially distributed processes (Paniconi and Putti, 2015). Currently, mechanistic models are gaining increasing interest in studies related to climate change (Michel et al., 2022). These models capture real physical processes, and these processes are not likely to change due to climate change stresses. Thus, calibrated physics-based models can provide reliable predictions.
Field applications of mechanistic models require efficient simulators to deal with large time and space scales and a calibration procedure to fit simulations and field observations...
Field applications of mechanistic models require efficient simulators to deal with large time and space scales and a calibration procedure to fit simulations and field observations...
Original language | English |
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Article number | 913844 |
Number of pages | 3 |
Journal | Frontiers in Water |
Volume | 4 |
DOIs | |
Publication status | Published - 4 May 2022 |
Keywords
- hydrogeology
- hydrology water resource
- inverse approach
- numerical model
- simulation–computers