integrating groundwater modelling and river...

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Integrating Groundwater Modelling and River Ecology Dean Olsen 1 , Roger Young 1 , Tim Davie 2 , Timothy Hong 3 and Joseph Thomas 4 1 Cawthron Institute, 2 Landcare Research, 3 Geological and Nuclear Sciences, 4 Tasman District Council.

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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.

  • o Groundwater modelling in Upper Motueka• Predicts surface water-groundwater

    (SW-GW) exchange

    o Cold upwelling groundwater• Refuge for aquatic life during low flows

  • Study area

    Motueka

    River

    Wan

    gape

    kaRi

    ver

    Tadm

    orRiv

    er

    Study area

    Mot

    upik

    oR

    iver

    N

    Tapawera

    Upper MotuekaCatchment

  • 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

  • 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

  • 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

  • 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

  • Methods

    • 8 data loggers:• 3 gaining reaches• 3 losing reaches• 1 spring• 1 groundwater bore

    • Logging 30 min intervals from early 2006

  • 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)

  • 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

  • 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

  • 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

  • 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

  • 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

  • Longitudinal surveys

    o Drifted ~14 km of river• spot readings

    – Pools» Head, deep water, edges

    – Tributaries– Backwaters

  • 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)

  • 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)

  • 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

  • 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

  • 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)