There are many
different modelling approaches that can be used in hydrology, which is quite
interesting and useful as it brings more options for modellers to choose from
according to their need. So it’s pretty cool in that sense but it is very
important to not get so carried away so that the main purpose is lost or the
quality and usability are downgraded. And it often more logical to seek the
simplest model that can efficiently address the problem of interest.
It is quite useful to
consider three different modelling dimensions (Watts, 1997 cited in Watts, 2010)
- Theoretical complexity
- Spatial resolution
- Temporal resolution
Today we are going to
investigate different models with different theoretical complexity levels.
Three models can be
considered while considering the theoretical complexity level. From simple
models to more complex are Empirical models, Conceptual models, and physically
based models.
Empirical models are
the simplest and describe how the system behaves without getting into details
of the physical processes. These simple models usually use statistical data.
Conceptual models are a
bit more complex. These models represent a simplified behavior of catchments
on perceived behavior of the catchment rather than getting into details of the
physical characteristics of the catchment. For example a conceptual catchment
model thinks of the soil medium as a bucket that accommodates recharge for
groundwater when it reaches its full capacity.
Next level of
complexity is for physically based models. These models try to represent the
physical process of water movement in the catchment. This method uses the physically
based equations and often are parameterized by the catchment characteristics
such as soil properties that are measurable in the laboratories (Watts, 2010).
Join me on the next
post where we explore the spatial and temporal resolutions. After having gained
some information on the available approaches we shall see which one is more
appropriate when looking at water availability under the impacts of climate
change.
So long
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