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Modeling Toolbox Application to Alberta Water Resources Management Jon Ludwig Water Resources Modeling Group Fairfax, Virginia, USA

Modeling Toolbox Application to Alberta Water Resources ...€¦ · Non-proprietary examples include LSPC, HSPF, SWAT, and SWMM º Receiving water models Simulate hydrodynamics and/or

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  • Modeling Toolbox Application to Alberta Water

    Resources Management

    Jon Ludwig

    Water Resources Modeling Group

    Fairfax, Virginia, USA

  • Environmental Modelling

    º Effective tool for water resources management

    º Coupling takes advantage of individual model strengths

    º Focus on: Watershed Watershed-Receiving Water Watershed-Geochemical

    Speciation Receiving Water

    Geochemical Speciation Watershed

  • Watershed-Receiving Water Models º Cumulative Effects, Total Maximum Daily Load (TMDL), and comprehensive

    watershed management studies

    º Watershed models

    Predict time-variable hydrology and water quality for various land surface

    categories (typically surface and groundwater)

    Evaluate land-based, climate change, and other scenarios

    Determine source-based load distribution

    Non-proprietary examples include LSPC, HSPF, SWAT, and SWMM

    º Receiving water models

    Simulate hydrodynamics and/or water quality processes in water bodies

    Non-proprietary examples include EFDC, CE-QUAL-W2, and WASP

  • Watershed-Integrated Geochemical Speciation Models

    º Comprehensive watershed hydrology and chemical reactions modeling system

    º Evaluate cumulative impacts on local/regional scale

    º Integration of dynamic surface/subsurface chemical loadings w/ reactive chemical transport principals

    º Planning for local and regional mitigation practices

    º Defensible science based framework for optimization of management strategies

  • Commonly Coupled USEPA Models

    º LSPC (Watershed) Snow, flow, temperature, sediment, water quality (HSPF routines) Object-oriented environment and relational database Tailored for large-scale watershed modelling and TMDLs

    º EFDC (Receiving Water) Fully integrated hydrodynamics, sediment, and water quality 1, 2, or 3-dimensional simulation of rivers, lakes/reservoirs, estuaries

    º MDAS (Integrated Watershed/Geochemical) Watershed scale analyses to evaluate cumulative impacts Local/site-specific evaluation/BMP effectiveness

    º All are public domain – freely available at http://www.epa.gov

    http://www.epa.gov/

  • º Watershed Management and Cumulative Effects Assessment

    North Saskatchewan River

    º Receiving Water

    Lower Athabasca River

    º Integrated Watershed/Geochemical

    Assessment of Mining Impacts, Central Appalachia (USA)

    Case Studies

    LSPC EFDC

    EFDC

    LSPC MDAS

  • North Saskatchewan River

    º Developed coupled watershed-receiving water models for AESRD

    º Hydrology, hydrodynamics, and water quality

    º LSPC for basin-wide simulation

    º EFDC for main-stem river, Lake Brazeau, and Abraham Lake

    LSPC EFDC

  • Phased Modelling Process º 2D/1D model of NSR

    Devon to Saskatchewan

    º 1D model of NSR Abraham Lake to

    Saskatchewan

    º Watershed model

    º 3D models of lakes Abraham Lake Lake Brazeau

    º Watershed model enhancements

  • LSPC Enhancements

    º Improved meteorological input data/snow representation

    º Increased number of calibration locations

    º Quantified impact and modelled behavior of hydrologically non-contributing areas

    º Multi-faceted water quality calibration

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    eg C

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    Rainfall (cm) Snowfall Water-Equivalent (cm) Air Temp (Deg C)

    Snowfall Temp (Deg C) SNOTEL Temperature (Deg C)

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    Sno

    wpa

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    th (

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    Modeled Snowpack as Water (cm) Snowfall as Water (cm) Snowmelt (cm)

    Water Yield From Snow Pack (cm) Observed Snowpack (cm)

    10 LSPC snow calibration at Edmonton Woodbend (10/1/1998 to 9/30/2006)

  • Calibration Locations

  • Summary of Seasonal Flow Patterns in NSR Basin

    NSR Tributary Average Elevation

    (m)

    Percent NCA

    Peak Flow

    Month

    Percent of Observed Annual Flow

    Name Gage ID March-April-May May-June-July

    Ram River 05DC006 1,807 0.0% June 20% 61% Clearwater River 05DB006 1,731 0.0% June 19% 51% Baptiste River 05DC012 1,106 0.010% June 30% 58% Rose Creek 05DE007 974 0.004% May 49% 62% Modeste Creek 05DE911 893 0.0% April 63% 50% Tomahawk Creek 05DE009 799 0.0% April 72% 41% Strawberry Creek 05DF004 798 0.19% April 71% 47% Sturgeon River 05EA001 715 27% April 82% 37% Vermillion River 05EE009 673 77% April 84% 41% Vermillion River 05EE007 666 74% April 96% 17% Waskatenau Creek 05EC002 664 37% April 92% 14% Redwater River 05EC005 661 26% April 90% 34%

  • NCA – Evaluation of Physical Processes

    º Frozen Ground Spring: runoff occurs because ground acts impervious Summer: surface depressions contain most runoff when

    ground thaws

    º Deep Aquifer Recharge Summer/fall: baseflow in streams dissipates Performed full mass balance

    • Maximum potential evapotranspiration had little effect • Groundwater recharge was most effective

  • 14

    Ram River Gage (05DC006)

    y = 0.9466x + 2.0046R2 = 0.9196

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    odelle

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    Avg Flow (10/1/1999 to 9/30/2008)Line of Equal ValueBest-Fit Line

    O N D J F M A M J J A S

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    cipita

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    Average Precipitation (cm) Observed (25th, 75th)Observed Median Modelled (Median, 25th, 75th)

    Streamflow Observed vs. Modelled

    seasonal / monthly flow

    quartile variation

  • Error Statistics: Ram River (LSPC)

    Hydrologic Indicator Observed (cm/year)

    Simulated (cm/year)

    Error Statistics

    Error (%) Goal (%)

    Total In-stream Flow: 24.34 26.43 8.60 ±10 Total of lowest 50% flows: 3.35 3.60 7.51 ±10 Total of highest 10% flows: 10.90 10.41 -4.55 ±15 Summer (months 7-9): 7.75 8.16 5.31 ±30 Fall (months 10-12): 3.06 2.96 -3.21 ±30 Winter (months 1-3): 1.29 1.45 12.50 ±30 Spring (months 4-6): 12.24 13.86 13.22 ±30 Total Storm Volume: 5.18 4.56 -11.89 ±20 Summer Storm Volume (7-9): 1.16 1.20 3.43 ±50 Nash-Sutcliffe Coefficient of Efficiency, E: 0.54 Model accuracy increases Baseline adjusted coefficient (Garrick), E': 0.44 as E or E' approaches 1.0

    15

    Metrics: HSPEXP, Nash-Sutcliffe, Garrick

  • Lower Athabasca River

    º Developed EFDC hydrodynamic and water quality model for Alberta Environment

    º 2D model from Fort McMurray to Lake Athabasca

    º Includes contributions from oil sand mining areas

    º Primary focus on hydrodynamic and eutrophication modeling

    EFDC

  • Cumulative Assessment of Mining Impacts in Central Appalachia

    º Multi-purpose application

    º Dynamic geochemical speciation

    º Evaluate cumulative impacts on a large watershed scale

    º Site-specific impacts

    º Regulatory support, mitigation and reclamation planning

    LSPC MDAS

  • Watershed Characteristics º Extensive monitoring and source tracking

    activities Background and groundwater contribution loading of

    ionic species Residential sources of ionic loading

    • Road salt application • Failing septic systems/straight pipes

    Abandoned mine discharges Permitted mining discharges Surface mines & valley fills Underground mine discharges Oil and gas operations

  • º Comprehensive watershed hydrogeochemical model

    º Time variable dissolved/particulate chemical loading capability User defined land surface/subsurface

    º Reactive chemical transport capability within one-dimensional channels Chemical thermodynamics & kinetics

    º Dynamic chemical interactions Dissolved chemicals Suspended sediments/active channel sediment layer Adsorbed chemical transport associated with the deposition and

    scour of cohesive sediment fraction (e.g. clay, Fe-Mn-Al hydroxides)

    Mining Data Analysis System (MDAS)

  • 22

    Conceptualization of Land Processes & Loading Mechanisms in LSPC/MDAS Model

  • 23

    Conceptualization of in-stream processes/ functionalities

  • Simulated Water Quality Parameters º Master variables: temperature, pH

    º Major Anions: SO4, Cl, CO3

    º Major Cations: Ca, Na, Mg, K

    º Common metals: Fe, Al Contributing to TDS in AMD

    impacted streams Affecting water pH

  • 25

    Results

  • 26

  • Thank you!

    For more information, contact:

    Jon Ludwig

    (703) 385-1973

    [email protected]

    AESRD

    Sillah Kargbo, PhD

    Darcy McDonald

    Deepak Muricken

    Andrew Schoepf

    NSWA

    Gordon Thompson

    David Trew

    Tetra Tech

    Andrew Parker

    Sen Bai, PhD

    Ryan Murphy

    John Riverson

    Brandon Wood

    Yoichi Matsuzuru

    Allen Medine, PhD

    mailto:[email protected]

    Modeling Toolbox Application to Alberta Water Resources Management �Environmental ModellingWatershed-Receiving Water ModelsWatershed-Integrated Geochemical Speciation ModelsCommonly Coupled USEPA ModelsCase StudiesNorth Saskatchewan River�Phased Modelling Process�LSPC Enhancements�Slide Number 10Calibration LocationsSummary of Seasonal Flow Patterns in NSR BasinNCA – Evaluation of Physical ProcessesRam River Gage�(05DC006)Error Statistics: Ram River (LSPC)Slide Number 16Slide Number 17Lower Athabasca River �Cumulative Assessment of Mining Impacts in Central Appalachia � Watershed CharacteristicsSlide Number 21Slide Number 22Slide Number 23Simulated Water Quality ParametersSlide Number 25Slide Number 26Thank you! �