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Julie Ahern Butler. Boulder River Valley Groundwater Investigation

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<strong>Boulder</strong> <strong>River</strong> <strong>Valley</strong><br />

<strong>Groundwater</strong> <strong>Investigation</strong><br />

Designing the <strong>Groundwater</strong> Flow Model<br />

MBMG <strong>Groundwater</strong><br />

<strong>Investigation</strong> Program<br />

<strong>Julie</strong> <strong>Butler</strong>, Andrew Bobst,<br />

Luke Carlson, John Anderson<br />

Montana AWRA Annual<br />

Conference October 11, 2012


• Study Objectives<br />

OUTLINE<br />

• Building the Conceptual Model<br />

o Field Work<br />

o Data Analysis<br />

• Building the Numerical Model<br />

o Grid Design<br />

o Calibration & Uncertainty Analysis<br />

• Summary


PROBLEM STATEMENT<br />

CAUSE:<br />

Parts of the <strong>Boulder</strong> <strong>River</strong><br />

regularly run dry during late<br />

summer<br />

Senior water rights holders<br />

unable to irrigate<br />

EFFECTS:<br />

Concern over current and<br />

future groundwater<br />

development reducing stream<br />

flows<br />

Interest in enhancing latersummer<br />

flows via springtime<br />

peak-flow diversions (aka<br />

managed recharge)


OBJECTIVES<br />

• Evaluate hydrogeologic effects of current and<br />

potential future groundwater development<br />

• Evaluate the potential for increasing late-summer<br />

flows through managed aquifer recharge<br />

----------------------------------------------------------------------<br />

• Approaches<br />

• Characterize the physical groundwater flow system<br />

• Quantify surface-water – groundwater interactions<br />

Conceptual model<br />

Numerical model


• Install Wells<br />

• 8 Bedrock Wells<br />

• 6 Alluvial Wells<br />

• 9 Canal Transect Wells<br />

• Monitor<br />

• <strong>Groundwater</strong><br />

• Surface Water<br />

• Canals<br />

• Water Quality<br />

• Run Aquifer Tests<br />

• 14 Sites<br />

FIELD WORK


POTENTIOMETRIC SURFACE MAP<br />

(MARCH, 2012)<br />

• Gradient reflects aquifer<br />

properties<br />

• Observations<br />

calibration targets<br />

• Aquifer property estimates<br />

prior information<br />

monitoring site<br />

aquifer test site


SURFACE-WATER – GROUNDWATER INTERACTIONS


Flume<br />

Canal<br />

Transect<br />

DITCH LEAKAGE


Ditch @ transect<br />

DITCH LEAKAGE<br />

Ditch @ flume<br />

Loss<br />

Median: 2.2 cfs/mile<br />

Ditch leakage recharges<br />

groundwater & supplements<br />

stream flow.


GEOLOGIC FRAMEWORK<br />

GWIC (public online database):<br />

http://mbmggwic.mtech.edu<br />

Inventoried wells<br />

Verified locations<br />

Assigned altitudes<br />

Interpreted lithologies<br />

Imported as boreholes<br />

Built cross sections


• Start simple<br />

• Slowly build complexity<br />

if it will enhance<br />

predictions<br />

GRID DESIGN


BOUNDARY CONDITIONS & CALIBRATION<br />

• Boundary Conditions<br />

o <strong>River</strong> & creeks<br />

o Ditches<br />

o Pumping wells<br />

• Calibration targets<br />

o Water levels<br />

o Stream flow<br />

o <strong>Groundwater</strong>-river interaction<br />

• Parameter Estimation<br />

o Inverse modeling<br />

o Prior information


MODEL DOMAINS: AVOIDING THE ALL-PURPOSE MODEL<br />

• No one model “fits all”<br />

• Recall: model = predictive tool<br />

o Impact of current and<br />

potential future groundwater<br />

development on river flow<br />

o Impact of managed recharge<br />

to on late-summer river flows<br />

• Each model meets a specific<br />

predictive objective<br />

North<br />

Model<br />

Focus<br />

Model<br />

South<br />

Model


Infiltration Ponds<br />

<strong>Groundwater</strong> Monitoring Site<br />

Surface-Water Monitoring Site<br />

Stream<br />

Irrigation Ditch<br />

MODELING PURPOSE:<br />

PREDICTION<br />

Managed Recharge Example


UNCERTAINTY ANALYSIS<br />

Food for thought…<br />

All models are wrong<br />

We must embrace uncertainty and quantify the “wrongness”<br />

The goal is not to make “correct” predictions, but rather<br />

to make predictions with minimum error<br />

“A good model encapsulates what we know, and quantifies<br />

what we don’t”


SUMMARY<br />

• Conceptual Model Development – in progress<br />

o ~ 90 monitoring sites calibration targets<br />

o Strong local influence of ditch leakage<br />

o <strong>River</strong> conditions change through space and time<br />

• Numerical Model Development – in progress<br />

o 3 models<br />

o Boundary conditions to reflect aquifer recharge/discharge<br />

o Calibrating to observations and “prior information”<br />

• Key Principles<br />

o Parsimony<br />

o Tailor to the purpose<br />

o Quantify the “wrongness”


THANK YOU<br />

QUESTIONS???

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