1/40 Surface Water Hydrology at White River Lake, Texas Presented by Shane Walker May 3, 2005 CE 392K.2 – Hydrology

2/40 Motivation  Water Scarcity  People Need Water Surface Water Ground Water

3/40 Outline  Background Info  Model Development  Geometry  Evaporation & Usage  Results

4/40 Background Information Who, Where, What, When, Why, How

5/40 Who?  White River Municipal Water District  Established in 1967  Post, Crosbyton, Ralls, Spur, & White River  Services < 10,000 people

6/40 Who?  White River Water Treatment Plant  Provides “Superior” drinking water to the MWD  Source: surface water from White River Lake  Average Annual effluent: 1.7 MGD  Maximum effluent: 4.5 MGD

7/40 Who?  White River Lake  Constructed:  Inflow: White River (intermittent)  Full Elevation: 2372 ft  Full Depth: 45 ft  Full Volume: 31,846 acre-ft  Full Area: 2.5 sq. mi.

8/40 Where?  White River Lake  ~ 40 mi. E of Lubbock

9/40 What?  Software program to predict the usable life of the Lake  Dependent upon evaporation and usage

10/40 Why?  Lake Depletion – rationing vs. alternative source?

11/40 How? 1)develop mathematical model of the geometry of the lake 2)values for evaporation and usage 3)develop software to predict usable life

12/40 Historical Data

13/40 Historical Data

14/40 Historical Data

15/40 Historical Data

16/40 Historical Data

17/40 Historical Data

18/40 Historical Data

19/40 Model Development Geometry Evaporation & Usage

20/40 Volume/Depth Regression Mathematical Model Of Lake Geometry

21/40 Data  Volumetric Survey of White River Lake  June 30, 1993  prepared by the Hydrographic Survey Group  published by the Texas Water Developement Board  Sonar/Sounding  Surface area vs. 0.1 ft interval

22/40 Analysis  Input data into Microsoft Excel  Used built-in regression tools  Determined accuracy of correlation by R 2

23/40 Results Determined best fit as Power function V(D) = D D(V) = V (R 2 ~0.999) – Good considering siltation

24/40 Evaporation & Usage Water Consumption Data

25/40 Evaporation

26/40 Domestic/Industrial Usage  Industrial  Oil Companies flood oil wells  Decreasing  Compare Domestic versus Industrial

27/40 Total Usage (D+I)

28/40 Domestic Usage

29/40 Domestic/Industrial Usage

30/40 Domestic/Industrial Usage

31/40 Assumptions  No Infiltration (clay soils)  No precip or inflow (conservative)

32/40 Lake Level Model Evaporation & Usage

33/40 Lake Level Model Start Elevation – Evap – Pumpage = Final Elevation

34/40 Alternative Scenarios  Case A – No change (  = 0)  Case B – Eliminate Industrial Usage  Case C – Limit plant flow  Case D – Eliminate all usage

35/40 Lake Level Model  Input Data  Date  Full elevation  Current surface elevation  Lowest intake elevation  Lake bottom elevation

36/40 Results

37/40 Benefits  Educate planners and managers  WRMWD  Industrial will probably not be eliminated  Simulate rationing by assuming winter usage  Applied to any reservoir (water balance)

38/40 Model Improvements  Change USDA evap to TWDB evap  Add Precipitation into the model  “Calibrate” the model to simulate dry spells

39/40 Conclusions  Consider sustainable alternative supply

40/40 Questions?