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Validation of a Hydrological Model Using Stable Isotope Tracers

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1 Civil Engineering and 2Earth Sciences, University of Waterloo, Waterloo, ON, ... Confluence of MacKenzie and Liard Rivers. Inter-relationship via spring melt ... – PowerPoint PPT presentation

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Title: Validation of a Hydrological Model Using Stable Isotope Tracers


1
Validation of a Hydrological Model Using Stable
Isotope Tracers
  • Tricia Stadnyk1
  • St.Amour, Natalie2 Kouwen, Nicholas1 Edwards,
    Tom2 Pietroniro, Alain3 Gibson, John4
  • 1 Civil Engineering and 2Earth Sciences,
    University of Waterloo, Waterloo, ON, N2L 3G1,
    Canada
  • 3 NHRC, Environment Canada, 11 Innovation Blvd,
    Saskatoon, SK, Canada
  • 4 National Water Research Institute, Water
    Climate Impacts Research Centre, Victoria, BC,
    Canada

2
Overview
  • Objective
  • Modelling Background
  • Isotope Mixing-Model
  • Hydrological model
  • Tracer module
  • Study Site
  • Fort Simpson, NWT
  • Results
  • Modelled results v. isotope data
  • Conclusions

http//www.fortsimpson.com/
3
Objective
  • Objective
  • To validate the partitioning of water in a
    hydrological model using d18O and d2H isotopes
  • Flowpaths
  • Water balance
  • Source separation and sensitivity analyses
  • Source area protection
  • How?
  • Add tracers to hydrological model partition
    flowpaths
  • Compare tracer output to measured stable isotope
    data

4
Isotope Mixing Model
  • 2-component mixing model approach

Freshet period
Rain-free period
Post-freshet period
5
Source Separation
  • d2H v. d18O plots produced for all 5 basins

St.Amour et al., 2004
6
Hydrological Model
  • The WATFLOOD Hydrological Model
  • Developed over the past 30 years by Dr. Nicholas
    Kouwen
  • Primary application is flood forecasting and
    flood studies
  • Long time sequences for climate studies
  • Model very large areas (1,700,000km2) and smaller
    areas (20km2)
  • Optimal use of gridded data sources
  • Land cover, DEMs, Radar data
  • Universally applicable parameter sets
  • Quick turn around time
  • Simulation time for Ft. Simpson runs 2min for
    4mths _at_ 10x10km
  • Pick-up truck version

7
Hydrological Modelling
8
Tracer Module Components
Tracer 0 Baseflow separation
Tracer 1 Sub-basin separation
Tracer 2 Land-cover separation
Tracer 3 Rain-on-stream tracer
Tracer 4 Flow-type separation - surface -
interflow - baseflow
Tracer 5 Snow-melt as a fn(flow-type) - surface
surface melt - interflow melt drainage -
baseflow interflow melt drainage
Tracer 6 Glacial Melt - surface - interflow -
baseflow
9
Baseflow Tracer Model
  • Add tracer to groundwater flow system
  • Mass IN Conc qlz Dt
  • Calculate mass of tracer leaving grid (iterative)
    ? ROUTING
  • Tracer storage balance
  • S2 S1 (In Out) / 2
  • Calculate tracer concentration in lower zone
  • Mass STORED / Lower Zone Storage
  • Calculate tracer mass in stream
  • Mass OUT ConcQstreamDt ConcEvap Dt
  • - corrected for evaporative losses to preserve
    mass
  • Mass OUT Mass IN (for next grid)
  • Mass balance _at_ end of Dt ? In Out
    DStorage
  • Route twice for wetlands 1. Mass in
    wetland
  • 2. Mass in channel

10
Study Site
http//atlas.gc.ca/site/english/maps
http//www.fortsimpson.com/
  • Near to community of Fort Simpson, NWT
  • Confluence of MacKenzie and Liard Rivers
  • Inter-relationship via spring melt
  • 5 river basins studied
  • Ranging from 202 - 2,050km2

http//www.fortsimpson.com/
11
Basin Delineation
  • Jean-Marie R.
  • 1,310 km2
  • Martin R.
  • 2,050 km2
  • Birch R.
  • 542 km2
  • Blackstone R.
  • 1,390 km2
  • Scotty R.
  • 202 km2

12
Meteorological Data
Hamlin, 1996
  • Collected by Water Survey Canada (WSC)
  • 1995 snow course survey locations
  • Temperature stations
  • The Lone Rain Gauge

13
Landcover Data
  • Wetland dominated
  • Permafrost region
  • Thick glaciolacustrine and deltaic sediment
  • 65 organic peat 1-8m deep
  • Most vegetation is transitional
  • NW-W ? relief
  • Martin steepest (0.7 gradient)
  • Scotty flattest (0.2 gradient)

Red/Orangemixed/decid. Greenconifer Yellowtrans
itional Light bluewetland Dark bluewater
Töyrä, Jessika, 1997
14
Results
El Niño
St.Amour et al., 2004
  • Simulations from April to August 1997?1999
  • Isotopes identified problems with wetland
    coverage
  • Hydraulically connected v. disconnected
  • Model modified to account for wetland coverage
    disconnected
  • Accuracy of simulation determined by
  • Simulated Q ?? Measured Q
  • Nash-Sutcliffe coefficient (R2) and Dv
  • Modelled GW ? GW-d18O and GW-d2H
  • Proportionality plots

15
Wetland Hydraulic Connections
  • E.g. Birch river 25 wetland coverage (from DEM)
  • ?? Only 20 of the wetlands are directly
    connected to the channel
  • Based on curve fit proportioning of GW from
    isotope data

16
1997 Results
17
1998 Results
18
1999 Results
? Same parameters as for 1997 ?? Good
recession curve match ?? No longer El Niño
effects ?? Melt modelled correctly
19
Conclusions
  • Reliable precipitation is critical in producing
    reasonable streamflows (duh!)
  • At least 1 rain gauge per basin!!
  • Wetland hydraulic connections connected?
  • We can use isotopes to help identify how much
    does interact
  • Show seasonal interactions and releases (i.e.
    Deltas)
  • Incorporation of isotopes are invaluable for
    hydrologic modelling!!
  • Flowpath separation validation
  • Older GW versus Newer event water
  • Snowmelt quantity timing
  • Evaporative losses
  • Validation of hydrographs
  • Flow quantity water balance
  • Source area indicators

20
Acknowledgements
  • Natural Sciences and Engineering Research Council
    (NSERC) for funding
  • Natalie St. Amour for the isotopic flow
    separations and for all of the isotope work!
  • Dr. Nick Kouwen for assistance with WATFLOOD
    modelling
  • Drs. Nick Kouwen and Tom Edwards for their
    supervision and relentless work load ? and of
    course the travels
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