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The impact of urban groundwater upon surface water - eTheses ...

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GROUNDWATER FLOW MODELLING<br />

<strong>The</strong> value <strong>of</strong> the FAT3D specific yield parameter derived for the piezometer P11 (0.03) is<br />

lower than expected for an unconfined sand and gravel aquifer which usually have specific<br />

yields > 0.15. <strong>The</strong>re is no evidence <strong>of</strong> any horizons within the geological log that would<br />

reduce the storage. An underestimation <strong>of</strong> Kx and Kz in the model may have caused an<br />

underestimation in Sy but would not alone be sufficient to explain the low value. A likely<br />

explanation is the effect <strong>of</strong> the capillary zone in reducing available storage adjacent to the free<br />

<strong>water</strong> <strong>surface</strong>. Other evidence <strong>of</strong> the effect <strong>of</strong> unsaturated zone processes is found in the<br />

variation in aquifer response to similar river flood events (Section 5.7) which must reflect a<br />

variation in S/T. Different values <strong>of</strong> S/T for P10 and P11 were calculated by the analytical<br />

model over two different time periods (Table 6.8) reflecting changes in the moisture content<br />

pr<strong>of</strong>ile which effects storage and flow processes above the <strong>water</strong> table. <strong>The</strong> variation in S/T<br />

for P10 implies that the clay layer does not fully confine the aquifer as in that case S/T would<br />

remain constant.<br />

<strong>The</strong> transient analytical model indicates that a single value <strong>of</strong> S/T will not serve to fit the<br />

modelled and observed data between events or for the entire duration <strong>of</strong> a single event (Figure<br />

16a and b). <strong>The</strong> deviation <strong>of</strong> the model is most notable in the tails <strong>of</strong> the falling limbs <strong>of</strong> the<br />

flood peaks where model values do not decline as rapidly as actual values indicating an over<br />

estimation <strong>of</strong> S/T. <strong>The</strong> model also over-estimates lag times for peak arrivals which is an over<br />

estimation <strong>of</strong> S/T. Maximum peak heights exceed actual values, indicating an underestimation<br />

<strong>of</strong> S/T . <strong>The</strong> initial rise <strong>of</strong> the flood peak occurs more slowly in the model than in the actual<br />

data, indicating an overestimation <strong>of</strong> S/T . Transmissivity is unlikely to vary greatly, owing to<br />

an increase in saturated thickness which is small compared with the total. Small variations in<br />

S/T may result from changes in geology across the fluctuation zone but these would not vary<br />

220

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