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Irrigation Intervention Analysis of Drainage SAR

by M. A. Ahsan, Univ of Nevada Reno, United States,
J. C. Guitjens, Univ of Nevada Reno, United States,



Document Type: Proceeding Paper

Part of: Planning Now for Irrigation and Drainage in the 21st Century

Abstract:

G.E.P. Box-G.M. Jenkins time series analysis, with irrigation applications as an intervention function, was used to study temporal and spatial variabilities of sodium adsorption ratios of drainage water (SAR_dw) sampled from 15 parallel subsurface drains of an irrigated, agricultural field at Fallon, Nevada. Autoregressive integrated moving average (ARIMA) models for temporal and spatial series were established. After-the-fact forecast techniques and closeness-of-fit statistics were used to assess the statistical adequacy of the models. The temporal model is much more useful than the spatial model. Inclusion of irrigation applications into the models as an intervention function did not indicate a significant change in forecasted SAR_dw values. The models can be updated on the basis of new data.

Subject Headings: Mathematical models | Autoregressive models | Irrigation | Subsurface drainage | Sodium | Drainage | Spatial analysis | Nevada | United States

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