Stochastic modeling of irrigation requirements
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ArticleLanguage: En Publication details: 1986Subject(s):
In:
Journal of Irrigation and Drainage Engineering v. 112, no. 1, p. 65-76615338Summary: The stochastic structure of weekly irrigation requirement of a crop was studied. The irrigation requirement time series is assumed to be represented by an additive model with trend, periodic and stochastic as its components. Each component is identified and, if found, removed from the original series. The turning point test and Kendall's rank correlation test are applied for detectingthe trend. In the analysis of series, the correlogram technique is used to detect the periodicity, which is then analyzed by Fourier series method. Harmonic analysis is done for identifying the number of significant harmonics. The series is then tested for stationarity
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
| Article | CIMMYT Knowledge Center: John Woolston Library | Reprints Collection | REP-3976 (Browse shelf(Opens below)) | 1 | Available | 615338 |
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The stochastic structure of weekly irrigation requirement of a crop was studied. The irrigation requirement time series is assumed to be represented by an additive model with trend, periodic and stochastic as its components. Each component is identified and, if found, removed from the original series. The turning point test and Kendall's rank correlation test are applied for detectingthe trend. In the analysis of series, the correlogram technique is used to detect the periodicity, which is then analyzed by Fourier series method. Harmonic analysis is done for identifying the number of significant harmonics. The series is then tested for stationarity
Borlaug Institute for South Asia
English
No CIMMYT affiliation
CGUR01
Reprints Collection
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