Environmental Modelling Based on a Structural Fragments Approach

1996 ◽  
Vol 5 (6) ◽  
pp. 334-340
Author(s):  
Fredrik Lindgren ◽  
Johan Nouwen ◽  
Hélène Loonen ◽  
Andrew Worth ◽  
Björn Hansen ◽  
...  
Keyword(s):  
Environmental Modelling

scholarly journals An environmental modelling framework based on asynchronous many-tasks: scalability and usability

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pp. 104998
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Debabrata Panja ◽  
Marc van Kreveld ◽  
Derek Karssenberg
Keyword(s):  
Environmental Modelling ◽  
Modelling Framework

Integrated environmental modelling: Design and tools

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Vol 4 (2) ◽  
pp. 165-168
Author(s):  
James J. Zucchetto
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Environmental Modelling

Hydro-environmental modelling for bathing water compliance of an estuarine basin

2002 ◽  
Vol 36 (7) ◽  
pp. 1854-1868 ◽  
Author(s):  
S.M Kashefipour ◽  
B Lin ◽  
E Harris ◽  
R.A Falconer
Keyword(s):  
Environmental Modelling ◽  
Bathing Water

Raising the bar? – The challenges of evaluating the outcomes of environmental modelling and software

2011 ◽  
Vol 26 (3) ◽  
pp. 247-257 ◽  
Author(s):  
K.B. Matthews ◽  
M. Rivington ◽  
K. Blackstock ◽  
G. McCrum ◽  
K. Buchan ◽  
...  
Keyword(s):  
Environmental Modelling

scholarly journals On numerical solver selection and related uncertainty terminology

2009 ◽  
Vol 12 (3) ◽  
pp. 241-250 ◽  
Author(s):  
Petra Claeys ◽  
Ann van Griensven ◽  
Lorenzo Benedetti ◽  
Bernard De Baets ◽  
Peter A. Vanrolleghem
Keyword(s):  
Fluid Dynamics ◽  
Mathematical Models ◽  
Process Design ◽  
Uncertainty Assessment ◽  
Environmental Modelling ◽  
Chemical Systems ◽  
The Past ◽  
Numerical Solver ◽  
Physical And Chemical ◽  
Insight Into

Mathematical models provide insight into numerous biological, physical and chemical systems. They can be used in process design, optimisation, control and decision support, as acknowledged in many different fields of scientific research. Mathematical models do not always yield reliable results and uncertainty should be taken into account. At present, it is possible to identify some factors contributing to uncertainty, and the awareness of the necessity of uncertainty assessment is rising. In the fields of Environmental Modelling and Computational Fluid Dynamics, for instance, terminology related to uncertainty exists and is generally accepted. However, the uncertainty due to the choice of the numerical solver and its settings used to compute the solution of the models did not receive much attention in the past. A motivating example on the existence and effect of numerical uncertainty is provided and clearly shows that we can no longer ignore it. This paper introduces a new terminology to support communication about uncertainty caused by numerical solvers, so that scientists become perceptive to it.

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