Presentation is loading. Please wait.

Presentation is loading. Please wait.

Estimating Water Demands for Irrigation Districts on the Lower Colorado River David Kracman University of Texas at Austin December 7, 2000.

Published byDenis Harvey Modified over 9 years ago

Similar presentations

Presentation on theme: "Estimating Water Demands for Irrigation Districts on the Lower Colorado River David Kracman University of Texas at Austin December 7, 2000."— Presentation transcript:

1 Estimating Water Demands for Irrigation Districts on the Lower Colorado River David Kracman University of Texas at Austin December 7, 2000

2 Colorado River Basin Albers Conical Equal Area Projection

3 The Highland Lakes

4 Lake Buchanan and Lake Travis Lake Buchanan/Buchanan Dam Lake Travis/Mansfield Dam

5 Rice-Growing Irrigation Districts 500,000 acre-ft diverted for rice irrigation each year

6 Organization of Presentation Definition of Study Area Description of Water Demand Regression GIS Applications and Data Acquisition Preliminary Regression Results Conclusions Future Work Acknowledgments

7 Definition of Study Area All shapefiles projected to Albers Conic Equal Area Approximate irrigation district boundaries from LCRA

8 Counties in Study Area

9 Water Demand Regression Developed by Dr. Quentin Martin, LCRA

10 Delay Factor Variable t i = day of first diversion in year i TE = earliest diversion of any year TL = latest first diversion of any year

11 Gross Lake Evaporation Closely related to pan evaporation More data available than pan evap Texas Water Development Board

12 Rainfall 4 National Weather Service stations near study area Used data from nearest station to fill data gaps

13 Total Acreage Rice Acreage Data available for first and second crops Planted acreage a function of economic, weather, other factors

14 Water Demand Dependant variable in regression Measured in acre-ft Garwood Irrigation Pump

15 GIS Applications Gross Lake Evaporation Data

16 GIS Applications National Weather Service Station Locations

17 Regression Design

18 Regression Analysis SPSS Statistical Package

19 Regression Results R 2 improved from 0.49 to 0.787 Std Errors of coefficients improved from 0.5896 and 0.1386 to 0.275 and 0.113 respectively

20 Conclusions GIS can aid in development of regression for predicting water use in rice-growing irrigation districts These regressions have potential to improve existing regressions, and may be incorporated into optimization models

21 Future Work Develop regressions for other irrigation districts, for all relevant months Incorporate results into optimization model Continue to fill data gaps

22 Questions? (My niece, Molly)

Download ppt "Estimating Water Demands for Irrigation Districts on the Lower Colorado River David Kracman University of Texas at Austin December 7, 2000."

Similar presentations

Correlation and Regression Analysis Many engineering design and analysis problems involve factors that are interrelated and dependent. E.g., (1) runoff.

Correlation and Regression Analysis Many engineering design and analysis problems involve factors that are interrelated and dependent. E.g., (1) runoff.
Groundwater Management Districts Association Chuck Cullom Colorado River Manager CAP January 7, 2015.

Groundwater Management Districts Association Chuck Cullom Colorado River Manager CAP January 7, 2015.
Climate change related to floods, droughts, and water supply shortages in the Capital Area Raymond Slade, Jr. Certified Professional Hydrologist.

Climate change related to floods, droughts, and water supply shortages in the Capital Area Raymond Slade, Jr. Certified Professional Hydrologist.
Groundwater Management Districts Association

Groundwater Management Districts Association
Terrain for the Lower Colorado River Flood Damage Evaluation Project Erin Atkinson, Halff Associates, Inc. Rick Diaz, Lower Colorado River Authority Symposium.

Terrain for the Lower Colorado River Flood Damage Evaluation Project Erin Atkinson, Halff Associates, Inc. Rick Diaz, Lower Colorado River Authority Symposium.
Perched River Seepage ESHMC Meeting January 13-14, 2009 Stacey Taylor.

Perched River Seepage ESHMC Meeting January 13-14, 2009 Stacey Taylor.
Hydrologic Measurement

Hydrologic Measurement
Weight of Trophy Largemouth Bass as a function of Catch Date, Lake Size, Lake Age, and Drainage Area Travis Killen May 2009.

Weight of Trophy Largemouth Bass as a function of Catch Date, Lake Size, Lake Age, and Drainage Area Travis Killen May 2009.
1 Econometric Load Forecasting 2005 - 2011 Peak and Energy Forecast 06/14/2005 Econometric Load Forecasting 2005 - 2011 Peak and Energy Forecast 06/14/2005.

1 Econometric Load Forecasting Peak and Energy Forecast 06/14/2005 Econometric Load Forecasting Peak and Energy Forecast 06/14/2005.
River Rainfall Runoff G.W.T Main objectives of the project: Designing the irrigation system for a specific area. The first step is to determine the water.

River Rainfall Runoff G.W.T Main objectives of the project: Designing the irrigation system for a specific area. The first step is to determine the water.
Capacity Building in Analytical Tools for Estimating and Comparing Costs and Benefits of Adaptation Projects in the Berg River Basin, South Africa AIACC.

Capacity Building in Analytical Tools for Estimating and Comparing Costs and Benefits of Adaptation Projects in the Berg River Basin, South Africa AIACC.
Region K Water Plan John E. Burke, P.E. Chairman, Lower Colorado Regional Planning Group (Region K) General Manager, Aqua Water Supply Corp.

Region K Water Plan John E. Burke, P.E. Chairman, Lower Colorado Regional Planning Group (Region K) General Manager, Aqua Water Supply Corp.
Comparing the Storage Efficiencies of the Highland Lakes and the Proposed LCRA-SAWS Project Lower Colorado River Reservoirs Andrew Judd Semester Project.

Comparing the Storage Efficiencies of the Highland Lakes and the Proposed LCRA-SAWS Project Lower Colorado River Reservoirs Andrew Judd Semester Project.
Communal Rainwater Harvesting in Austin, Texas Gary Gold Department of Civil, Architectural, and Environmental Engineering The University of Texas at Austin.

Communal Rainwater Harvesting in Austin, Texas Gary Gold Department of Civil, Architectural, and Environmental Engineering The University of Texas at Austin.
Central Texas Water Coalition July 10, 2013 Request to Region K for Inclusion of the Highland Lakes Needs in Strategic Water Planning.

Central Texas Water Coalition July 10, 2013 Request to Region K for Inclusion of the Highland Lakes Needs in Strategic Water Planning.
Water Use and Management WHO – 1,000,000,000+ people lack access to fresh water 10,000,000+ people die annually from water- related diseases.

Water Use and Management WHO – 1,000,000,000+ people lack access to fresh water 10,000,000+ people die annually from water- related diseases.
CALIFORNIA’S WATER WAR: PART II Balancing Agricultural and Domestic Water Demands Sharon Liu Urban Planning M206A – Intro to GIS February 13, 2012.

CALIFORNIA’S WATER WAR: PART II Balancing Agricultural and Domestic Water Demands Sharon Liu Urban Planning M206A – Intro to GIS February 13, 2012.
Flow Estimation in the Wood River Sub-Basin. Study Motivation To estimate an historical record at the mouth of the Wood River. –Enables comparison of.

Flow Estimation in the Wood River Sub-Basin. Study Motivation To estimate an historical record at the mouth of the Wood River. –Enables comparison of.
Jeffrey Lindner Meteorologist Harris County Flood Control District October 4, 2015 2010-2012 Drought and Outlook.

Jeffrey Lindner Meteorologist Harris County Flood Control District October 4, Drought and Outlook.
FLASH FLOOD PREDICTION James McDonald 4/29/08. Introduction - Relevance  90% of all national disasters are weather and flood related  Central Texas.

FLASH FLOOD PREDICTION James McDonald 4/29/08. Introduction - Relevance  90% of all national disasters are weather and flood related  Central Texas.

Similar presentations

Ads by Google