IDC, UNIQUELY POSITIONED FOR DIVERSE APPLICATIONS
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1 IDC, UNIQUELY POSITIONED FOR DIVERSE APPLICATIONS Prepared for CWEMF Annual Meeting 2011 Prepared by Reza Namvar, Mesut Cayar, Jon Traum, Elias Tijerina, Saquib Najmus and Ali Taghavi RMC WRIME, Inc. March 2, 2011
2 Outline IDC Background Why IDC for Demand Analysis Application to a MODFLOW Model Application to Regional Demand Analysis
3 IDC Background IDC (IWFM Demand Calculator) is a standalone model that computes: Root zone processes, Deep percolation rates, and Irrigation water requirements.
4 Selected Root Zone Flow Processes Simulated by IDC
5 Computational Grids of IDC Subregions Finite Element Grid Finite Difference Grid
6 Linking IDC to Other Models IDC can be used as a stand alone model for estimation of agricultural demand and/or urban demand, as well as estimation of infiltration and deep percolation through a soil moisture accounting routine IDC may be linked to groundwater models such as MODFLOW, MicroFEM or for calculation of GW pumping and recharge data Hydrologic models use the water demand data to estimate GW pumping and/or SW deliveries required to meet the demand
7 Why IDC for Demand Analysis Stand alone water demand model. Incorporates major agricultural and urban water demand parameters. Calculates water demand and deep percolation rates that could be imported into other models. May be linked to groundwater models such as MODFLOW
8 IDC Application to MODFLOW Calculation of Agricultural Pumping and Deep Percolation for Riverside Arlington Basin GW Model
9 Model Area
10 MODFLOW Model Simulated Basins Arlington, Riverside, southern parts of Rialto Colton Basins in Riverside and San Bernardino Counties Model Grid 95 square miles Uniform cell size (50 m x 50 m)
11
12 MODFLOW Model Grid 182,700 cells per layer
13 Active Model Cells 14,000 in Layer 1 72,000 in Layer 2 45,000 in Layer 3 131,000 Total
14 Hydrologic Soil Groups
15 29 Small Watersheds
16 1993 Land Use
17 2008 Urban Areas
18 IDC Subregions 20 SRs in Arlington 60 SRs in Riverside 4 SRs in Rialto Colton 113 Total SRs
19 Calculation of Deep Percolation/Recharge Rates using IDC IDC calculates daily deep percolation / groundwater recharge from: Rainfall Applied water IDC calculation are performed for subregions (areas with similar land use and soil type) 84 subregions 29 small watersheds Simulation Period:
20 Transferring Deep Percolation Rates to MODFLOW Model Calculate Deep Percolation Rates for Each Subregion Using IDC Using GIS, Apply Deep Percolation Rates to MODFLOW model cells Used a FORTRAN utility program to Build MODFLOW Recharge File
21 Consistency of IDC and MODFLOW Ag GW pumping & DP Estimates IDC Deep Percolation Calculation MODFLOW Calibration Soil K & IE Adjustment
22 Summary IDC: A great & easy to use tool for estimation of ag water demand, gw pumping, and deep percolation IDC: A useful and robust tool for pre processor to MODFLOW & other similar models An iterative solution to the IDC recharge estimation and GW simulation is required to ensure a robust modeling process
23 IDC Application to Regional Demand Analysis Treasure Valley, ID
24 Map of Treasure Valley with Subregions
25 Scope of Work for TV Demand Study Task 1 Estimate Future Urban Water Demand Task 2 Estimate Agricultural Water Demand Qualitative Estimate of Environmental and Water Quality Demand/Needs
26 Agricultural Water Demand Previous methodology was based on water deliveries, ET and precipitation data for a single year IDC Model was used for estimating agricultural demand 28 years for calibration 50 years for prediction
27 IDC Data Land use distribution Crop Acreage Hydrologic data (28 yrs) Irrigation efficiency/practices
28 2000 Land Use 2% 3% 1% 1% 1% 1% 6% 52% 33% Native Urban Rural Water SemiAg Agricultural Idle Riperian UrbanLandscape
29 Land Use
30 Crop Type Acreages for Treasure Valley
31 Average Annual Precipitation for Boise WSFO Airport Station
32 Average Annual Crop ET
33 Typical Irrigation System Application Efficiencies for Surface and Sprinkler Systems Irrigation System Method Application Eff (%) Surface Systems Sprinkler Systems Micro irrigation systems Furrow Corrugate Border, level Border, graded Flood, wild Surge Cablegation Stationary lateral Solid set lateral Traveling big gun Stationary big gun Center pivot lateral Moving lateral Surface drip Subsurface drip Micro spray or mist 85 90
34 IDC Calibration Comparison of Irrigation Efficiencies Project Year Water Demand (af/year) Ag Area (acres) Applied Water (af/acre/year) Crop Irrigation Eff = 80% 1,083, , IDC Crop Irrigation Eff = 60% 1,438, , Crop Irrigation Eff = 50% 1,668, , Crop Irrigation Eff = 40% 2,085, , Crop Irrigation Eff = 80% 1,038, , IDC Crop Irrigation Eff = 60% 1,384, , Crop Irrigation Eff = 50% 1,604, , Crop Irrigation Eff = 40% 2,005, , TVHP (gravity irrigated land only) ,155, , ,209, , DP (gravity irrigated land only) Average ,154, ,
35 IDC Scenarios for Future Water Demand Analysis Scenario # Hydrology Crop Irrigation Efficiency 1 Wet 50% 2 Ave 50% 3 Dry 50% IDC Results Agricultural Applied Water Rates (ft/yr) Agricultural Water Demand (af/yr) Year Crop Irrigation Efficiency = 50% Dry Ave Wet Year Crop Irrigation Efficiency = 50% Dry Ave Wet ,555,491 1,487,412 1,389, ,481,409 1,413,773 1,320, ,440,712 1,375,116 1,283, ,235,332 1,171,831 1,096, ,039, , , , , ,937
36 Estimated Agricultural Applied Water Rates (ft/yr) and Agricultural Water Demand (af/yr)
37 Summary IDC: A good stand alone tool for estimation of Ag demand IDC: A robust tool for spatial and temporal estimates of Ag GW pumping
38 Recommendations Backward Compatibility of IDC Spatial and Temporal Resolution Development of consistent Post Processing Tools for Common Model Linkages IDC: Integrated Demand Calculator IDC: Uniquely Positioned for Diverse Applications
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