Comparison of Sprinkler Uniformity Models

by Ronald L. Elliott, Grad. Research Asst.; Dept. of Agricultural and Chemical Engrg., Colorado State Univ, Ft. Collins, Colo.,
William E. Hart, Principal; Wastequip, Inc., Davis, Calif.,
Jim C. Loftis, Asst. Prof.; Dept. of Agricultural and Chemical Engrg., Colorado State Univ., Ft. Collins, Colo.,
James D. Nelson, Grad. Research Asst.; Dept. of Agricultural and Chemical Engrg., Colorado State Univ, Ft. Collins, Colo.,


Serial Information: Journal of the Irrigation and Drainage Division, 1980, Vol. 106, Issue 4, Pg. 321-330


Document Type: Journal Paper

Abstract: Linear, normal, and beta statistical models are fit to 2,450 overlapped sprinkler irrigation patterns. The deviations of these three models from the observed water distribution are compared. Of the three, the beta distribution provides the best fit but is presently least practical to use. For uniformity coefficients above about 0.65, the normal model generally fits observed sprinkler distributions better than does the linear model. At lower uniformities, iuniformities, the opposite is true.

Subject Headings: Linear functions | Statistics | Sprinkler irrigation | Hydraulic models | Hydrologic models | Comparative studies

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