SSSAJ Grow Your Career with SSSA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Soil Sci Soc Am J 36:954-959 (1972)
© 1972 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Helvey, J. D.
Right arrow Articles by Douglass, J. E.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Helvey, J. D.
Right arrow Articles by Douglass, J. E.
Agricola
Right arrow Articles by Helvey, J. D.
Right arrow Articles by Douglass, J. E.

Predicting Soil Moisture in the Southern Appalachians1

J. D. Helvey, J. D. Hewlett and J. E. Douglass2

ABSTRACT

Soil moisture was measured for 3.5 years on forested slopes in the mountains of western North Carolina to develop equations for predicting soil moisture content of watersheds. Predictors used were precipitation and easily measured topographic, seasonal, and soil physical factors; among these, sand content and moisture retention at 1-bar suction were the best predictors of moisture content. Position on slope (height or distance from the stream channel) appeared to be an important factor only in the lower 25% of the slope. The annual cycle of soil moisture in the top 213 cm approximated a sine wave with a maximum during mid-April and a minimum during mid-October. As expected, moisture changes in surface layers were correlated best with rainfall weighted toward days immediately preceding observation; changes in deeper layers were better correlated with rainfall during previous weeks. Seasonal changes in soil moisture content at all depths were greatest upslope and least in the lower slope. Equations developed account for about 88% of the variation in soil moisture (standard error approximately 2–3% by volume) and can be used to predict antecedent moisture distribution for hydrologic and other purposes. Results support the "variable source area" concept of streamflow, but even with the neutron method slope gradients in field moisture were not easy to detect.


NOTES

1 Contribution from the Coweeta Hydrologic Laboratory, Southeastern Forest Exp. Sta., FS, USDA, Franklin, N.C., and the School of Forest Resources, Univ. of Georgia, Athens, Ga. Presented before Div. S-1 and S-6, Soil Science Society of America, New York City, Aug. 18, 1971.

2 Principal Hydrologist, Forest Hydrology Lab., Pacific NW Forest Exp. Sta., FS, USDA, Wenatchee, Wash. 98801, Professor, School of Forest Resources, Univ. of Georgia, Athens, Ga. 30602, and Principal Hydrologist, Coweeta Hydrologic Lab., SE Forest Exp. Sta., FS, USDA, Franklin, N.C. 28734, respectively.

Received for publication April 24, 1972. Accepted for publication August 15, 1972.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1972 by the Soil Science Society of America.