Chapter 3 : Reservoir models - KU Leuven
Chapter 3 : Reservoir models - KU Leuven
Chapter 3 : Reservoir models - KU Leuven
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3.2.4 Runoff <strong>models</strong><br />
After the calibration of the routing through the sewer system against a verified detailed<br />
hydrodynamic model, the runoff model can be calibrated separately. As the<br />
variability of the rainfall and consequently of the water input into the sewer system is<br />
high, the calibration of the runoff model must be carried out using a wide range of<br />
measurements. The calibration must be performed in such a way that the input volumes<br />
are similar in the model and in the measurements. Most often it is not possible to also<br />
obtain similar instantaneous discharges in model and measurements, because of the<br />
high uncertainty on the parameters. There are significant uncertainties on the rainfall<br />
measurements, on the runoff coefficients, on the losses and on the contributing area.<br />
If the cumulative input is corresponding well in the model and measurements, the errors<br />
on the instantaneous discharges are only of second order importance. An example of<br />
the calibration of a runoff model is given in paragraph 6.5.<br />
A wide range of runoff <strong>models</strong> can be used. From the modelling point of view the most<br />
extreme runoff <strong>models</strong> are on the one hand a fixed runoff coefficient and on the other<br />
hand a fixed depression storage (i.e. the storage in depressions on the surface).<br />
Using a fixed runoff coefficient leads to rainfall losses which are a fixed percentage<br />
of the rainfall input. This is a model with a linear behaviour, because the output is<br />
linearly varying with the input. The losses are independent of the antecedent rainfall.<br />
Using a fixed depression storage on the other hand, leads to a non-linear relationship<br />
between in- and outflow. If the depression storage is empty, it will be filled during<br />
the first part of the storm and the shape of the inlet hydrograph might be changed.<br />
If the depression storage is already filled by antecedent rainfall, it will have no<br />
influence on the storm. For this kind of model the antecedent rainfall and the intrinsic<br />
variability of the rainfall are very important.<br />
For continuous simulations the runoff <strong>models</strong> should not be event based, even if they<br />
are calibrated using single measured events. For that reason a depression storage model<br />
cannot simply be used to subtract the first volume of a storm as is often proposed in<br />
event based <strong>models</strong> [Van den Herik & Van Luytelaar, 1990; WS, 1996], because of the<br />
subjective definition of a ‘storm’. The depression storage must be written as a function<br />
of instantaneous parameters. This can for instance be performed using a simple<br />
reservoir model for which the outflow is linearly varying with the inflow and with the<br />
depression storage (figure 3.22). The depression storage S is thus limited to S max . If<br />
this relationship is incorporated in the continuity equation and this differential equation<br />
is solved, an exponential filling of the depression storage is obtained :<br />
S<br />
⎡ Vin<br />
= S − ⎛ ⎞ ⎤<br />
max ⎢1 exp⎜−<br />
⎟ ⎥<br />
(3.2)<br />
⎣⎢<br />
⎝ Smax<br />
⎠ ⎦⎥<br />
In equation (3.2), V in is the cumulative inflow into the reservoir.<br />
<strong>Chapter</strong> 3 : <strong>Reservoir</strong> <strong>models</strong> 3.21