Antecedent Moisture Condition Probabilities

by Donald D. Gray, (M.ASCE), Asst. Prof. of Hydromechanics; School of Civ. Engrg., Purdue Univ., West Lafayette, Ind. 47907,
Peter G. Katz, Engr.; Snowy Mountains Engrg. Corp., Cooma, Australia,
Sharon M. deMonsabert, Grad. Research Asst.; School of Civ. Engrg., Purdue Univ., West Lafayette, Ind. 47907,
Neroli P. Cogo, Grad. Student; Dept. of Agronomy, Purdue Univ., West Lafayette, Ind. 47907,


Serial Information: Journal of the Irrigation and Drainage Division, 1982, Vol. 108, Issue 2, Pg. 107-114


Document Type: Journal Paper

Discussion: Cronshey Roger G. (See full record)
Discussion: Hawkins Richard H. (See full record)
Discussion: Kramer Larry A. (See full record)
Discussion: McCuen Richard H. (See full record)
Discussion: Renard K. G. (See full record)
Closure: (See full record)

Abstract: The problem of selecting an appropriately conservative Antecedent Moisture Condition (AMC) when using the Soil Conservation Service curve number method or the Illinois Urban program for prediction is considered. Daily rainfall data from 17 stations in Indiana, Kentucky, and Tennessee are analyzed to find the probability of the various Antecedent Moisture Conditions during the growing season at each station. Regression equations are proposed relating these probabilities to average annual precipitation in areas having similar rainfall amounts and distributions.

Subject Headings: Probability | Moisture | Rainfall | Soil water | Urban areas | Hydrologic data | Data analysis | Runoff curve number | North America | United States | Kentucky | Tennessee | Illinois | Indiana

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