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WSP12894
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Last modified
1/26/2010 4:19:22 PM
Creation date
3/24/2008 2:51:42 PM
Metadata
Fields
Template:
Water Supply Protection
File Number
8483
Description
SPDSS
State
CO
Basin
South Platte
Date
1/1/2001
Author
CWRRI
Title
South Platte Mapping and Analysis Program (SPMAP) Decision Support Tools for the Lower South Platte
Water Supply Pro - Doc Type
Publication
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<br />V. Description of Data and Software: South Platte Consumptive Use Model (SPCU) <br /> <br />2.0 South Platte Consumptive Use Model (SPCU) <br /> <br />Water managers in the South Platte River <br />Basin need an efficient process for accurately <br />computing field and farm Consumptive Use <br />(CU) to determine augmentation requirements <br />for groundwater wells or estimate the amount of <br />water available for a different use. Based on <br />surface water supplies and consumptive use <br />estimates, managers can estimate the CU of <br />ground or surface water supplies using the <br />SPCU Model. <br /> <br />2.1 Back!!round and ComDatibility with <br />Other Systems <br /> <br />Input for the SPCU Model can be developed <br />through GIS themes and the spatial analysis <br />features of SPGIS or entered directly into the <br />interface. The SPCU Model computes CU <br />monthly using the Blaney-Criddle or Kimberly- <br />Penman methods for computing CU. The <br />Kimberly-Penman method, as implemented in <br />this model, uses monthly reference crop <br />Evapotranspiration (ETr) estimates provided by <br />NCWCD as part of their weather data. The <br />Blaney-Criddle method is a monthly calculation <br />based on temperature. <br />The SPCU Model can also calculate daily <br />consumptive use using the Penman-Monteith <br />method. The SPCU Model computes CU by <br />applying crop coefficients that describe water <br />use characteristics of crops during the growing <br />season, water supplies, and weather data. <br /> <br />2.2 Overview of Consumotive Use <br />Calculation <br /> <br />Consumptive use is primarily <br />evapotranspiration (ET), which is water <br />evaporated or transpired from plant foliage and <br />adjacent soil during crop growth. The model <br />assumes that water not consumptively used by <br />crops returns to the river system via surface <br />runoff or deep percolation. <br /> <br />Three techniques have been selected based on <br />the data availability in the South Platte River <br />Basin (i.e., Blaney-Criddle, Kimberly-Penman, <br />and Penman-Monteith). The Blaney-Criddle and <br />Kimberly-Penman methods allow monthly <br />calculations and the Penman-Monteith method <br />can be used on a daily time step. The <br />computation of potential ET for the Blaney- <br />Criddle and the Kimberly-Penman methods <br />includes an option for calculating a soil moisture <br />budget. The Kimberly-Penman uses monthly <br />potential ET estimates from a file and applies <br />crop and area information to determine CU. For <br />both of the monthly models, surface water <br />supplies can be specified to meet crop CU. <br /> <br />If there is additional CU beyond what surface <br />water supplies can meet, wells tied to the farm <br />are typically assumed to supply the additional <br />CU, depending on the options selected. Weights <br />can be assigned to weather stations, reflecting <br />their relative influence. <br /> <br />CU Model input datasets can be created using <br />the Geographical Information System (SPGIS) <br />capabilities in SPMAP. This process includes <br />specifying modeling area and model information <br />using ArcView from the spatial data populated <br />in SPGIS. SPCU Model input data includes crop <br />types, areas occupied by individual crops, <br />planting dates, irrigation amounts, precipitation, <br />soil types, and temperatures. Additionally, <br />weather and water supply data can be added <br />from State of Colorado HYDROBASE data files <br />that can be retrieved from the internet. <br /> <br />2.3 Develooment of Graohical User Interface <br />for Windows 95/98/NT/2000 <br /> <br />The original CU Model was developed for the <br />Colorado River Decision Support System, and is <br />the basis for the Colorado Decision Support <br />Systems CU Model being implemented in river <br />basins throughout the State of Colorado. <br /> <br />Completion Report: South Platte Mapping and Analysis Program <br /> <br />17 <br />
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