Layers   Tools
Watershed
Digital Raster Graphic (DRG)
Lafayette
LULC
Historical(1970-1980's)
2001
Soil Type
SSURGO
STATSGO
Elevation Map
1 arc-second
1/3 arc-second
1/9 arc-second
Sensors
Rain Gauges
Streamflow Gauges
Soil Moisture Sensor
Sub-Watersheds
SG1
SG2
SG3
Radar Rainfall Animations
Oct 7
Oct 8
Oct 9
Oct 10
Satellite Daily Rainfall
Oct 7
Oct 8
Oct 9
Oct 10
Oct 7-10
Radar Zoom-in Daily Rainfall
Oct 7
Oct 8
Oct 9
Oct 10
Oct 7-10
Satellite Zoom-in Daily
Oct 7
Oct 8
Oct 9
Oct 10
Oct 7-10
Model Setup
Computational Grid
Overland Elevation Data
Soil Type Index Map
Land Use Index Map
Combined (ST + LU) Index Map
Channel Cross Sections
Model Simulations
Streamflow Hydrographs
Soil Moisture profiles
Spatial Rainfall Distribution (mm)
Infiltraction Depth (cm)
Maximum Water Surface Depth (mm)
% Time With Overland Flooding
Measure distance: Select the line tool button, click on Google Earth at several points, click on Calculate Distance button. When done click Clear.
Measure Area: Select the line tool, click on several points in Google Earth to create a polygon, click the Calculate Area button. When done click Clear.
Result:
Line Tool  
 
Elevation
 

Hydrologic Model Simulations (for upper-level courses only)


Overview

After setting up the model and assigning initial values for the model parameters, a rigorous calibration process was performed to adjust these initially-assigned parameters so that the model predicted hydrograph at the watershed outlet matches the observed hydrograph at the same location.


Your Task

  1. First, we will assess the calibration results by comparing the predicted hydrograph at the outlet versus the observed one. Click on the Streamflow Hydrographs layer. Download the observed and predicted hydrograph at the outlet gauge (SG1).
  2. Use EXCEL to plot a time series for the observed and simulated hydrographs at SG1. Comment on how the two hydrograph compare to each other.
  3. Calculate the following statistical metrics to quantitatively assess the agreement (or disagreement) between the observed and simulated hydrographs: correlation coefficient, bias (defined as total volume of simulated to observed runoff), and difference in runoff peak. Discuss/comment on these results.
  4. We have hydrograph observations available at other stations (e.g., SG2 and SG3) that were not included in the model calibration. These independent hydrograph observations can be used to validate/verify the model performance.
  5. Download the observed and predicted hydrograph at the two interior streamflow gauges (SG1 and SG2) and repeat steps 2 and 3 for these gauges. Comment on how the hydrograph comparisons at the independent gauges (SG2 and SG3) compare to those of the calibration gauge (SG1).
  6. In addition to streamflow hydrographs at any channel location, the model also provides predictions of soil-moisture profiles at any location in the watershed. Turn on the soil-moisture profile layer where few examples of soil moisture output are provided. Download the data posted for one of the locations (e.g., SM3) and plot a time series for the top soil layer and for the full layer. Comment on your results, relate them to the time series of rainfall and streamflow hydrographs, and explain the differences that you see between the top and full layers.
  7. Repeat step 6 for SM1, SM2 and SM4. Compare the soil moisture plots for all four locations. Discuss the differences that you amongst the different locations; can you explain such differences?
  8. In addition to streamflow hydrographs, the model can also produce spatially-distributed information and predictions on many rainfall-runoff processes such as: infiltration depth and water surface depth at each point in the computational grid. Turn on some of the layers provided (e.g., spatial distribution of rainfall, overland flooding, cumulative infiltration depth, maximum water surface depth, and % time with overland flooding). Discuss what you see with your classmates and instructor.



 

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