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Full-Text Articles in Other Civil and Environmental Engineering
Using An Object And Pattern Oriented Approach To Hydrological Modelling Teaching And Research, R.W. Vervoort, J.H.A. Guillaume, T.F.A Bishop, D. Kundu, F.F. Van Ogtrop
Using An Object And Pattern Oriented Approach To Hydrological Modelling Teaching And Research, R.W. Vervoort, J.H.A. Guillaume, T.F.A Bishop, D. Kundu, F.F. Van Ogtrop
International Congress on Environmental Modelling and Software
Introducing hydrological modelling in undergraduate teaching is challenging, and some of this is related to the decline in STEM knowledge in students. Enabling students to confidently work with a range of hydrological models remains difficult, particularly if the goal is to make students understand the modelling process and model structures. The limited literature points to a number of educational tools that have been developed, falling into three classes: magical box fully developed GUIs with little insight into model operation; highly theoretical command line linear reservoir and unit hydrograph tools; and model tools focusing on one single model structure. Given the …
The Data Processing Inequality And Environmental Model Prediction, Steven V. Weijs
The Data Processing Inequality And Environmental Model Prediction, Steven V. Weijs
International Congress on Environmental Modelling and Software
Prediction in environmental systems, such as hydrological streamflow prediction, is a challenging task. Although on a small scale, many of the physical processes are well described, accurate predictions of macroscopical (e.g. catchment scale) behavior with a bottom-up mechanistic approach often remains elusive. On the other hand, conceptual or purely statistical models fitted to data often perform surprisingly well for prediction. The data processing inequality, from the field of information theory, says that processing data with statistical procedures can only decrease, and not increase the information content of the data. This seems to contradict the intuition that our knowledge of physical …