Time Series Modeling for Predicting Spatially Variable Infiltration
Publication: Journal of Irrigation and Drainage Engineering
Volume 126, Issue 5
Abstract
Furrow irrigation performance is affected by spatial variability of infiltration; thus, its characterization is essential for accurate performance evaluation. A time-series modeling approach was used to characterize the spatial and temporal correlation structure of field-measured infiltration data. The time-series analysis indicated minimal spatial correlation of infiltration characteristics along the furrow for the space intervals used (5 m). The time-series analysis led to a strategy by which relationships between infiltration characteristics at short- and long-intake opportunity times for a limited number of infiltration tests could be used to “extend” infiltration information gathered by doing shorter duration tests at other furrow locations.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 126 • Issue 5 • October 2000
Pages: 283 - 287
History
Received: Jun 22, 1999
Published online: Oct 1, 2000
Published in print: Oct 2000
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