Research Article
Jun 1982
Antecedent Moisture Condition Probabilities
Authors: Donald D. Gray, M.ASCE, Peter G. Katz, Sharon M. deMonsabert, and Neroli P. CogoAuthor Affiliations
Publication: Journal of the Irrigation and Drainage Division
Volume 108, Issue 2
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.
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Published In
Journal of the Irrigation and Drainage Division
Volume 108 • Issue 2 • June 1982
Pages: 107 - 114
Copyright
© 1982 American Society of Civil Engineers.
History
Published in print: Jun 1982
Published online: Feb 11, 2021
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Authors
Affiliations
Donald D. Gray, M.ASCE
Asst. Prof. of Hydromechanics, School of Civ. Engrg., Purdue Univ., East 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., East Lafayette, Ind. 47907.
Neroli P. Cogo
Grad. Student, Dept. of Agronomy, Purdue Univ., West Lafayette, Ind. 47907
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.