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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

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