integrating groundwater modelling and river...
TRANSCRIPT
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Integrating Groundwater Modelling and River Ecology
Dean Olsen1, Roger Young1, Tim Davie2, Timothy Hong3 and Joseph Thomas4
1 Cawthron Institute, 2 Landcare Research, 3 Geological and Nuclear Sciences, 4 Tasman District Council.
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o Groundwater modelling in Upper Motueka• Predicts surface water-groundwater
(SW-GW) exchange
o Cold upwelling groundwater• Refuge for aquatic life during low flows
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Study area
Motueka
River
Wan
gape
kaRi
ver
Tadm
orRiv
er
Study area
Mot
upik
oR
iver
N
Tapawera
Upper MotuekaCatchment
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Groundwater-river modelling
Biggs
Oldham's Tam
or R
iver
Motueka River
River gauaging sites undertaken byTDC on 09/02/2002
Above Wangapeka confluence
Above Glenrae Stream
Letterbox "Smith"
BelowTapawera
bridge
Tapawera bridge
Above Tapawera bridge/Rogers
Groundwater monitoring sites
o 3d finite element model developed in using FEFLOW
o Currently only steady-state
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Model predictions
AboveTapawera
bridge/Rogers
Tapawera bridge
Below Tapawerabridge
Letterbox "Smith"
Above GlenraeStream
AboveWangapekaconfluence
36806 m3/driver gain
85708 m3/driver loss
62812 m3/driver gain
16243 m3/driver loss
8640m
3 /d
river
gain
W14
W25
W22
W36 W23
W28
W10
W20
W17
W40
W6
W15
W e ll ID
A bstra ct ion ra te use d (m 3/da y)
6 1500 10 257 .4 11 257 .4 14 2802 .6 15 193 .2 16 308 .4 17 244 .2 20 180 22 1234 .2 23 784 .2 25 385 .8 28 630 33 900 34 360 36 90
40 254 .4
Tam
or R
iver
valle
y
Motueka River valley
GainingLosing
Key
• Predicts location and magnitudes of exchanges between river and groundwater
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Model predictions
Tapawera bridge
Below Tapawerabridge
Letterbox "Smith"62812 m3/driver gain
16243 m3/driver loss
40m3 /d
in
W23
W28
W10
W20
Motueka River valley
GainingLosing
Key
Tadmor River
GAINING REACH
LOSING REACH
LOSING REACH
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Predictions
Variations in SW-GW exchange will affect thermal patterns in the river
Diel fluctuations in temperature:Gaining < losing reaches
Maximum daily temperature:Gaining < losing reaches
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Methods
• 8 data loggers:• 3 gaining reaches• 3 losing reaches• 1 spring• 1 groundwater bore
• Logging 30 min intervals from early 2006
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Year2006.1 2006.2 2006.3 2006.4 2006.5 2006.6 2006.7
Wat
er te
mpe
ratu
re (o
C)
0
5
10
15
20
25
Gaining reachLosing reach
Spring Creek (MRT ~14 months)Groundwater (MRT ~3y)
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Tadmor (gain) vs. Tapawera Bridge (loss)
Date
20/02/06 27/02/06 6/03/06 13/03/06 20/03/06 27/03/06 3/04/06
Tem
pera
ture
(oC
)
12
14
16
18
20
22
24
Dis
char
ge (m
3 s-1)
0
10
20
30
40
Tapawera Bridge_Loss Tadmor_Gain Discharge - Gorge+Motupiko
RecessionBase flow Base flow
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ICM1 (gaining) vs. ICM3 (losing)
Date20/02/06 27/02/06 6/03/06 13/03/06 20/03/06 27/03/06 3/04/06
Tem
pera
ture
(oC
)
10
12
14
16
18
20
22
24
Dis
char
ge (m
3 s-1
)
0
10
20
30
40
50
ICM3_Loss ICM1_Gain Flow Gorge+Motupiko
RecessionBase flow Base flow
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Tadmor vs Tapawera Bridge
o Differences greatest during baseflow– Highest relative contribution of GW– Differs between sites
How much does GW contribute to SW?–Simple mixing models
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Mixing model on temperature data
10
12
14
16
18
20
22
24
1
Tem
p (C
)
Predicted at 10%Observed
10
12
14
16
18
20
22
1
Tem
p (C
)
Predicted at 20%Observed
o Predicting mixed water from temps in cold and upstream
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Mixing models
o Mixing model suggests potential for 10-20% of water at site is from cold source (GW)
o As much as 0.5 m3/so 30% gain predicted by model for
whole reach
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Longitudinal surveys
o Drifted ~14 km of river• spot readings
– Pools» Head, deep water, edges
– Tributaries– Backwaters
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Longitudinal surveys
Backwater
River: 20.9ºC, 133 µS/cm, 11.31 mg/l (126% sat)
Springs: 17.3ºC, 107 µS/cm, 9.2 mg/l (96% sat)
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Backwater
River: 20.5ºC, 132 µS/cm, 10.39 mg/l (114.8% sat)
Springs: 17.0ºC, 132 µS/cm, 4.9 – 8.5 mg/l (56-88% sat)
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Summary
Groundwater model• patchy gaining and losing reaches (km+
scale)
Temperature loggers• Up to 3.5ºC difference between some
gaining and loosing• GW contributes c.10-20% of baseflow
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Summary
Longitudinal survey• No stratification• Few obvious upwellings – limited area• Lateral springs
– Up to ~3.5ºC cooler than mainstem– Too shallow for trout– Abundant native fish
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The big picture – Motueka ICM
o Integration between disciplines has allowed data gathering of mutual benefit
o Temperature data has and will add to understanding of groundwater-river interaction
o Modelling beneficial for river ecology planning (and vice versa)