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Cokriging for Evaluating Agricultural Pollution

by H. E. Mullis, Univ of Nevada-Reno, United States,
J. C. Guitjens, Univ of Nevada-Reno, United States,
C. W. Robbins, Univ of Nevada-Reno, United States,



Document Type: Proceeding Paper

Part of: National Water Conference

Abstract:

Subsurface drainage data from irrigated lands near Twin Falls, Idaho were used. Total Dissolved Solids and NO₃-N were selected as variables. The objective was to determine if 50 and 65 percent of the measured data could be removed (creating two new data sets) and accurately estimated via cokriging using a variogram model based on the remaining data. Cokriging models were developed using statistical information obtained from variograms of the remaining data. Once accurate models were developed for both the 50 and 65 percent removal cases, estimations were made for the missing data values. At the 65 percent removal level, there were significant differences in the means and variances of the estimated and measured values for NO₃-N. By using the unedited full set of measured data for variogram modeling none of the tests produced rejections.

Subject Headings: Agricultural wastes | Water pollution | Subsurface drainage | Model accuracy | Statistics | Irrigation | Runoff | Idaho | United States

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