1 Canal Seepage ESHMC 8 January 2008 B. Contor. 2 Outline Current treatment of Canal Seepage Review of Recharge Tools PEST Possibilities Implications.

Slides:



Advertisements
Similar presentations
Dynamic Models.
Advertisements

Surface Water Quantity Model Development Connely Baldwin USU.
Figure 3. Outlines of the study with links between different components used. The figure presents the main inputs and outputs from the model used (Glob3PG)
Contingency Tables Chapters Seven, Sixteen, and Eighteen Chapter Seven –Definition of Contingency Tables –Basic Statistics –SPSS program (Crosstabulation)
Multiple Indicator Cluster Surveys Data Processing Workshop
1 Recharge on Non-irrigated Lands ESHMC 8 January 2008 B. Contor.
Considerations for Data Series for Current Practices Scenario November 2006 Update 17 January 2007 B. Contor (New stuff will be in green boxes or on green.
Continuous Hydrologic Simulation of Johnson Creek Basin and Assuming Watershed Stationarity Rick Shimota, P.E. Hans Hadley, P.E., P.G. The Oregon Water.
1 One-month Stress Period Considerations Presentation to ESHMC 8 January 2008 B. Contor.
Use of Remote Sensing and GIS in Agriculture and Related Disciplines
Perched River Seepage ESHMC Meeting January 13-14, 2009 Stacey Taylor.
The Central Nebraska Public Power and Irrigation District Groundwater Mound Study.
Digital Elevation Model based Hydrologic Modeling Topography and Physical runoff generation processes (TOPMODEL) Raster calculation of wetness index Raster.
Assignment 2 -Lake Watersheds and morphometry Elkwater lake is a small lake situated near Cypress Hills Provincial Park. The watershed is mostly forested.
Workshop on ACTION RESEARCH ON GROUNDWATER BUFFERING IN BANGLADESH
1 Learning Entity Specific Models Stefan Niculescu Carnegie Mellon University November, 2003.
VIC Model Status Blowing Snow and Lake Algorithms Princeton Meeting December 4, 2006.
Idaho Water Resources Research Institute
Water Budget Status Report ESHMC Meeting September 13, 2011 Presented by Stacey Taylor.
MODULE 3 THE NEXT BIG THING Lesson 3.2 Stocks, Stocks, Stocks.
CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.
How Much Do We Have Left? Coming to Terms With the Colorado River Water Availability Study Annual Colorado Water Workshop July 21, 2010 Ben Harding – AMEC.
Dr. R.P.Pandey Scientist F. NIH- Nodal Agency Misconception: A DSS takes decisions ---(No)
1 Brainstorming for Presentation of Variability in Current Practices Scenario B. Contor August 2007.
Certified Landscape Irrigation Auditor Training. C.L.I.A. Training l Originally Developed by I.T.R.C. With a Grant From the California Department of Water.
Return Flows Discussion Continued ESHMC Meeting 6 May 2008 Stacey Taylor.
III. Ground-Water Management Problem Used for the Exercises.
Summary Utility ESHMC August 2008 B. Contor. Background ESPAM.exe produces intermediate text files –*.celmodel cell dimensions & status –*.cnlcanal leakage.
Management Application: Volume of Water in Storage (An Ogallala Example with Applicability to All Aquifers in Texas) Judy A. Reeves, Ph.D. Hydrogeologist,
Understanding Ground Water Modeling Gary Johnson Donna Cosgrove Idaho Water Resources Research Institute University of Idaho Idaho Falls.
Overall flow diagram for the CENTURY model.. Optional input files for Century 4.5 nscale.dat - The optional multipliers on N inputs contained in this.
1 New Scenario: "Current Policy" or "Continued Changes in Practice" ESHMC Meeting 13 November 2007 B. Contor.
Lecture 10 Evapotranspiration (3)
Snake River Plain Model Upgrade Donna M. Cosgrove Gary S. Johnson Idaho Water Resources Research Institute University of Idaho.
1 Water Budget Update ESHMC Meeting November 22-23, 2010 S. Taylor, B. Contor.
Green Water Credit: Cost Benefit Analysis of Soil and Water Conservation Practices in the Upper Tana Catchment Off Site Cost Benefit Analysis Esther Njuguna,
Ex_Water Yield Model Data needs 1.Soil depth,an average soil depth value for each cell. The soil depth values should be in millimeters (Raster) Source:
ESPAM2 Water Budget Status ESHMC 21 September 2010 B. Contor.
Extent and Mask Extent of original data Extent of analysis area Mask – areas of interest Remember all rasters are rectangles.
RIV61 RIVER PACKAGE The purpose of the River Package is to simulate the effects of flow between surface-water features and groundwater systems. For each.
1 Recharge on Non-irrigated Lands ESHMC Meeting January 2009 W. Schreuder & B. Contor.
Green Water Credit: Cost Benefit Analysis of Soil and Water Conservation Practices in the Upper Tana Catchment Off Site Cost Benefit Analysis Esther Njuguna,
Analytic Vs Numeric Ground Water Models Ray R. Bennett, PE Colorado Division of Water Resources.
South Platte Decision Support System Colorado Water Conservation Board and Division of Water Resources.
Return Flow Discussion ESHMC Meeting 6 March 2008 Presented by Stacey Taylor 1.
Analysis of the Municipal Water Supply Network in the Lower Rio Grande Valley Presentation Prepared for the Region M Water Planning Group November 19,
Prioritization Review ESHMC August 2008 B. Contor 1.
JRC-AL – Bonn on Disaggregation of CAPRI results Renate Köble Adrian Leip.
Introduction to the TOPMODEL
Step 1: Place x 2 term and constant into the box 2x 2 2 PROBLEM: 2x 2 + 5x + 2.
1 Engineering Analysis of Properties Designated within the City of Bonita Springs as “Density Reduction/Groundwater Resource” (DR/GR) Land Use Category.
Drip Irrigation Systems By: Philip Hanrahan and Matt Garrity.
Model Status Update July 01, Agenda Purpose Model Development Update Model Calibration Status Next Steps Schedule Public Input.
Entity Relationship Diagram (ERD). Objectives Define terms related to entity relationship modeling, including entity, entity instance, attribute, relationship.
U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior U.S. Geological Survey Scenario generation for long-term water budget.
CADSWES Engineering Enhancements New Methods and Improved Functionality Steve Setzer.
NAFE monitoring stations O. Merlin, J. Walker, R. Panciera, R. Young and M. Rinaldi 3 rd NAFE Workshop Sept
Water Management Options Analysis Sonoma Valley Model Results Sonoma Valley Technical Work Group October 8, /08/2007.
A GIS approach to understanding groundwater – surface water interactions in the Logan River and Red Butte Creek, Utah Trinity Stout CEE 6440.
Automatic Calibration of HSPF model with NEXRAD rainfall data for DMIP Jae Ryu Hydrologist, National Drought Mitigation Center University of Nebraska Lincoln,
Chapter 5: Software effort estimation
EVT61 EVAPOTRANSPIRATION PACKAGE. EVT62 EVAPOTRANSPIRATION PACKAGE The Evapotranspiration (ET) Package simulate the effects of plant transpiration and.
Management AccountIng
Digital Elevation Model based Hydrologic Modeling
Boundary Conditions Sources and Sinks Based on Slides Prepared By
Chapter 5 Sources and Sinks
Field water distribution
Chapter Four RUNOFF When a storm occurs, a portion of rainfall infiltrates into the ground and some portion may evaporate. The rest flows as a thin sheet.
Agricultural Order 4.0 Discussion
Systems and Components – A Process for Developing the Total Water Budget Handbook for Water Budget Development - With or Without Models CWEMF 2019 Annual.
Presentation transcript:

1 Canal Seepage ESHMC 8 January 2008 B. Contor

2 Outline Current treatment of Canal Seepage Review of Recharge Tools PEST Possibilities Implications of Canal Seepage Possible alternate methods

3 Current representation: A handful of canals are explicitly represented –long stretch of leaky canal not contiguous with irrigated lands –North Side laterals where source map indicated GW irrigation but hydrographs indicated SW seasonality

4 Current representation: For other canals, we assume leakage is spatially distributed across irrigated lands –density of laterals is high relative to cell size –laterals expected to be leakier than main canals ratio of Q/wetted perimeter maintenance periodic drying

5 Current representation: Seepage rates are based on two rounds of canal-manager interviews –Aberdeen-Springfield canal: Annual seepage rates from company analysis of data –limited data from a 1950s study of a short reach of another canal –no other hard data –except for Aberdeen-Springfield, seepage rate estimates were held constant throughout calibration period

6

7 The User hands the GIS tool... Map of model cells Map of canals –each canal belongs to an irrigation entity –each canal has a unique identifier Table of seepage rates (fraction of diversions) –unique value for each canal, for each stress period Diversion data for each entity

8 GIS tool hands FORTRAN tool.. Table of diversions for each entity, for each stress period Canal data file –list of cells that have leaky canals –canal/entity association –list of leakage fraction by canal and stress period

9. cnl file Canal seepage data... Row and column of cells covered by the first canal Proportion of diversion volume leaked from each canal (proportion in same order as canals are listed) Source of data 1 - new data 0 - no data -1 - use previous data Number of leaky canals Entity ID Number of cells that the first canal covers (Stolen from May Training)

10 FORTRAN Tool calculates... Seepage volume for each cell, for each stress period –Every drop of water imputed to canal leakage is subtracted from water applied to irrigated lands –Net effect on water budget = zero

11 What does this mean? Tools allow a unique seepage to be applied to each canal, for each stress period Changing canal seepage requires no change of recharge tools

12 PEST Possibilities

13 Add multiplier(s) for canal leakage (requires minor modification of FORTRAN & GIS tools) Potential PEST adjustment of canal seepage

14 Potential PEST adjustment of canal seepage Also, theoretically we could teach PEST to monkey with *.cnl file, but number of parameters gets BIG fast...

15 Implications

16 Three Important Implications of Canal Leakage Canal leakage affects spatial distribution but not magnitude of recharge

17 Options

18 Options Retain status-quo

19 Options More canals –hyd2mil GIS data & aerial images

20 Options Fancy algorithm –seepage = f (water temperature, soil type, wetted perimeter, head in canal, vegetation, head in aquifer if interconnected, maintenance schedule, wetting/drying freq, time since wet-up, presence of check structures....)

21 Questions Where do we get the data? What do we gain by the effort? Is this the best place to spend our resources? Can we agree on an approach? Will it be defensible?

22 Courtesy Rick Raymondi - look closely!