Hydrologic Modeling of the English River Watershed Allen Bradley - - PowerPoint PPT Presentation

hydrologic modeling of the english river watershed
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Hydrologic Modeling of the English River Watershed Allen Bradley - - PowerPoint PPT Presentation

Hydrologic Modeling of the English River Watershed Allen Bradley Iowa Flood Center IIHR Hydroscience & Engineering The University of Iowa We will assess the water cycle and flooding from model predictions Identification of high runoff and


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Hydrologic Modeling

  • f the English River

Watershed

Allen Bradley Iowa Flood Center IIHR‐Hydroscience & Engineering

The University of Iowa

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We will assess the water cycle and flooding from model predictions

Identification

  • f high runoff

and high flood areas Examples of hypothetical watershed scenarios The use of model predictions in interpreting water quality sampling

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HSPF MODEL OF THE ENGLISH RIVER WATERSHED

Hydrologic Modeling of the English River Watershed

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The English River watershed is subdivided into 103 river reaches for flow prediction

Application to the English River Watershed

The average size of each river reach is about 6.1 mi2 HSPF performs a long‐term continuous hourly simulation of watershed hydrology

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Subdivision into land segments is based on land use and weather inputs

Application to the English River Watershed

2013 Land Use Information (Iowa Soybean Association) Pervious Land Segments: 56 (7×8) Impervious Land Segments: 16 (2×8) HSPF performs a long‐term continuous hourly simulation of watershed hydrology

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HIGH RUNOFF AND HIGH FLOOD AREAS

Hydrologic Modeling of the English River Watershed

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The fraction of precipitation that runs off varies across the English River watershed

Areas with the highest runoff fractions are primarily a result of land use

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Subbasins can be classified as low, medium, or high runoff areas

Average annual runoff depth from the 64‐year simulation

Lower Runoff Areas Higher Runoff Areas Medium Runoff Areas

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Subbasins can be classified as low, medium, or high runoff areas

Higher runoff areas should be a priority for practices aimed at increasing infiltration

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The mean annual flood tends to increase predictably with upstream drainage area

Mean annual flood from the 64‐year simulation

Lower Floods Higher Floods Medium Floods

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Subbasin outlets can be classified as low, medium, or high flood areas

Higher flood areas should be a priority for evaluating the effects

  • f proposed practices
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IMPACTS OF HYPOTHETICAL ALTERNATIVE CONDITIONS

Hydrologic Modeling of the English River Watershed

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The hydrologic model can be used to explore alternative watershed conditions

Alternative Land Use in the English River Watershed

Assume existing row crops are replaced with tall‐grass prairie Deep rooted vegetations allow more water to infiltrate more quickly, and transpire more water Existing Land Use Scenario Land Use Pre‐settlement Tall‐grass prairie scenario

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The hydrologic model can be used to explore improved agricultural hydrology

Alternative Land Use in the English River Watershed

Assume existing croplands have full implementation of conservation best management practices Assume best runoff conditions for cropland areas Existing Land Use Scenario Land Use Agricultural best management practices scenario

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The hydrologic model can be used to explore flood management strategies

Flood Storage in the English River Watershed

Assume that 124 prototype ponds are installed in headwater reaches (1 pond per 2 square miles) Flood Storage Scenario Small (3‐foot) 10.9 acre‐feet Medium (5‐foot) 26.7 acre‐feet Large (7‐foot) 48.2 acre‐feet

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Changes in the land surface can have a significant impact on runoff generation

Scenario effects on runoff

The average annual runoff depth is 8.3 inches (a 27% reduction) Tall‐grass Prairie Scenario

Prairie scenario runoff

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Changes in the land surface can have a significant impact on runoff generation

Scenario effects on runoff

The average annual runoff depth is 8.3 inches (a 27% reduction) Tall‐grass Prairie Scenario The average annual runoff depth is 10.8 inches (a 5% reduction) Agricultural Management Scenario

Prairie scenario runoff Agricultural management runoff

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Changes in the land surface can have a significant impact on runoff generation

Scenario effects on runoff

The average annual runoff depth is 8.3 inches (a 27% reduction) Tall‐grass Prairie Scenario The average annual runoff depth is 10.8 inches (a 5% reduction) Agricultural Management Scenario The average annual runoff depth is 11.3 inches (no reduction) Flood Pond Scenario

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The decrease in peak flow for a flood event is called the peak reduction effect

Scenario effects on flooding

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Flood peak reduction effect diminishes in the downstream direction

Scenario effects on flooding

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Flood storage can be design to be most effective for large flood events

Scenario effects on flooding

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WATER QUALITY SIMULATION (NITRATE)

Hydrologic Modeling of the English River Watershed

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Nitrate load for the 64‐year simulation varies with land use across the watershed

Current Conditions (Baseline)

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The water quality snapshot characterized Nitrate at 20 locations in the watershed

Iowa Soybean Association (2014)

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Where load predictions are low (high), the snapshot saw low (high) concentrations

ERW2 ERW4

Nitrate Snapshot for 17 July 2014

Some sites are anomalously high compared to model predictions

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Where load predictions are low (high), the snapshot saw low (high) concentrations

ERW2

Nitrate Snapshot for 21 October 2014

Some sites are anomalously high compared to model predictions

ERW5 ERW4

Model predictions provide a valuable context for interpreting measurements

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SUMMARY AND CONCLUSIONS

Hydrologic Modeling of the English River Watershed

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Modeling can help us assess the water cycle and water quality of the watershed

Land use changes can have significant impacts on runoff and flooding. Flood storage can be targeted to reduce runoff effects for large floods. Model predictions were used to identify high runoff areas (a priority for practices) and high flood areas (a focus for assessing the impacts of practices). Model predictions of water quality can help us make sense of field measurements.

2/20/2015