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Civil and Environmental Engineering Commons

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Full-Text Articles in Civil and Environmental Engineering

Determination Of Semivariogram Models To Krige Hourly And Daily Solar Irradiance In Western Nebraska*, G.G. Merino, D. Jones, David Stooksbury, Kenneth Hubbard Jan 2000

Determination Of Semivariogram Models To Krige Hourly And Daily Solar Irradiance In Western Nebraska*, G.G. Merino, D. Jones, David Stooksbury, Kenneth Hubbard

Biological Systems Engineering: Papers and Publications

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. The models generated were tested using cross validation. The performance of the spherical and linear semivariogram models were compared with each other and also with the semivariogram models based on the best fit to the sample semivariogram of a particular day or hour. There were no significant differences in the performance of the three models. This result and the comparable …


Effect Of Sample Complexity On Quantification Of Analytes In Aqueous Samples By Near-Infrared Spectroscopy, Mark R. Riley, Mark A. Arnold, David W. Murhammer Jan 2000

Effect Of Sample Complexity On Quantification Of Analytes In Aqueous Samples By Near-Infrared Spectroscopy, Mark R. Riley, Mark A. Arnold, David W. Murhammer

Biological Systems Engineering: Papers and Publications

This study was undertaken to quantitate the impact of increasing sample complexity on near-infrared spectroscopic (NIRS) measurements of small molecules in aqueous solutions with varying numbers of components. Samples with 2, 6, or 10 varying components were investigated. Within the 10-component samples, three analytes were quantified with errors below 6% and seven of the analytes were quantified with errors below 10%. An increase in the number of varying components can substantially increase the error associated with measurement. A comparison of measurement errors across sample sets, as gauged by the standard error of prediction (SEP), reveals that an increase in the …