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sand3 3 I <br />silt3 3 I <br />clay3 3 I <br />texttot3 3 N 3 <br />. <br />4.Relate to comp by the item Run the program CALCSSC.AML to generate <br />soilw.pat muid <br />( ). <br />a sand, silt and clay percentage for each mapping unit This program multiplies the <br />muid <br />' <br />sand, silt, and clay percentages for each by the s component percentage <br />seqnum seqnum <br />( ) and then sums the sand, silt, and clay percentages for each individual mapping unit <br />comppct <br />( ). When with a texture of bedrock (i.e. sand, silt, and clay are 0) occur, the total <br />muid sequa <br />sand, silt, and clay for each mapping unit will be less than 100. In these cases the sand, silt, and <br />clay percentages were pro-rated based on 100 percent and adjusted accordingly. When the final <br />sand, silt, and clay textures for the mapping units were summed, it was found that some <br />mapping units had a textural total of 99.999 or 100.001 because of the bedrock adjustment. In <br />these cases, .001 was either added to or subtracted from the sand percentage to reach the value <br />of 100 percent (sand + silt + clay). <br />5.Use the percent of sand, silt, and clay to determine the textural class for each mapping unit <br />( ). <br />Using the sand, silt, and clay percentages (for each mapping unit), the textural class <br />muid <br />was determined using the Soil triangle of the basic soil textural classes as presented in the <br />Drainage Manual (USBR 1993). A FORTRAN program was written ( ) to <br />surftext.f <br />determine the soil class based on a tabular representation of the Soil triangle. The tabular <br />representation of the Soil triangle as presented in the Drainage Manual (USBR 1993) allows for <br />some overlap between a few textural classes. The few mapping units that showed two soil <br />textures were corrected by hand. <br />3.0 CONCLUSIONS AND RECOMMENDATIONS <br />Available water capacity and surface texture values were developed from STATSGO data for the <br />consumptive use (CU) model. The result is a set of GIS coverages that can be used to estimated <br />consumptive use for irrigated agricultural land. <br />4 <br />A275 01.09.95 1.14-17 CSU IDS <br />