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CRDSS_Task2-09-7_CropCUEstimates_YampaBasin
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CRDSS_Task2-09-7_CropCUEstimates_YampaBasin
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Last modified
9/25/2011 10:18:45 AM
Creation date
5/29/2008 1:28:13 PM
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Decision Support Systems
Title
CRDSS Task 2.09-07 - Crop Consumptive Use for the Yampa River Basin for calender years 1985-1990
Description
This task memorandum describes the calculation of crop consumptive use (CU) for the Yampa River Basin.
Decision Support - Doc Type
Task Memorandum
Date
12/16/1996
DSS Category
Consumptive Use
DSS
Colorado River
Basin
Yampa/White/Green
Contract/PO #
C153658, C153727, C153752
Grant Type
Non-Reimbursable
Bill Number
SB92-87, HB93-1273, SB94-029, HB95-1155, SB96-153, HB97-008
Prepared By
Riverside Technology inc.
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2.2 Crop Distribution for each Diversion Structure <br />The crop distribution of the irrigated areas served by each diversion structure is obtained using the DMI <br />demandts as shown in Table 3. In cases in which the crop distribution for a particular structure cannot be <br />identified, the crop distribution of the entire county-huc combination was adopted. <br />2.3 Irrigation Water Requirement Calculation <br />The Irrigation Water Requirement for each structure being modeled is estimated using the SCS Blaney- <br />Criddle method as implemented in the CRDSS-CU model. The CRDSS-CU Blaney-Criddle model has <br />the capability of using a soil moisture budget. For this phase of CRDSS, the State decided to use the SCS <br />Blaney-Criddle method without the soil moisture budget. <br />In addition to the soil moisture budget, the CRDSS-CU model has the capability of computing CU using <br />the Penman-Monteith equation. Some preliminary studies showed the potential for significant <br />differences in the CU values computed using the SCS Blaney-Criddle and the Penman-Monteith. The <br />State has a task force reviewing the results of the two equations. Based on extensive prior work by many <br />researchers, there is a well established body of knowledge that shows that as meteorological data <br />becomes available the Penman type equations can provide more accurate estimates of crop CU when <br />used properly. However, since this area did not have sufficient weather data or the quality of these data <br />was inconsistent, the SCS Blaney-Criddle was selected for this modeling effort. <br />The weather stations that were recommended to be used in Yampa River Basin as part of the CRDSS <br />project (Task Memorandum 2.09-15) were adopted. The weather stations and associated weights for the <br />county-huc combinations in the Yampa River Basin are shown in Table 4. The weights of each weather <br />station for each diversion structure is obtained by adopting the weights associated with the county-huc <br />combination where the diversion structure is located. For the Yampa River Basin the county-huc assigned <br />to each structure is based on the location of the diversion structures and not the areas served by the <br />structure. <br />2.4 Water Supply results from STATEMOD <br />The average water supplied for all structures being modeled is 62,563 acre-ft (Table 8), which is all <br />usable (no excess water is supplied). While the average Irrigation Water Requirements (IWR) is 69,614 <br />acre-ft (Table 6), representing an average shortage of 7,052 acre-ft. Although the annual water supply is <br />close to the IWR, the years 1988, 1989, and 1990 have by far the largest shortages as can be seen in <br />Table 7. <br />2.5 Pro-ration of CU of modeled Structures to CU of County-HUC <br />At this time only a portion of the irrigated area is being modeled. Therefore, the CU for the area being <br />modeled is pro-rated (using GIS data) to estimate the total CU for each county-HUC. This is done by <br />generating a GIS report for all the structures in each county-huc and determining the percentage of <br />irrigated acreage modeled for each county-huc in the basin. The demand, supply and shortages can then <br />be pro-rated based on this percentage. <br />The total irrigated lands, lands being modeled and percent of lands being modeled for each county-huc <br />are shown in Table 5. This information can be used to evaluate the validity of the pro-rated estimates of <br />CU and amount of water short in a county-huc (i.e. whether the county-huc combination is adequately <br />2 <br />12/16/96 2.09-07 CSU/IDS <br />
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