Geological Survey Professional Paper Volume 462 (Paperback)

This historic book may have numerous typos and missing text. Purchasers can download a free scanned copy of the original book (without typos) from the publisher. Not indexed. Not illustrated. Excerpt: ... standard error of estimate of principal regression equations, by streams to a highly significant coefficient of +0.333 for log P in the second equation and to the fact that peak flow has a very strong simple correlation with the quantity of water discharge for a storm period. The significant regression coefficients in table 8 are usually of the same variables that had significant simple correlation with sediment concentration. See the first section of table 6. Generally, the significance of a specific regression coefficient is improved over that of the simple correlation due to the effects of the multiple regression in isolating the effects of a single variable. For example, the simple correlation coefficients of concentration with time trend for the Brandywine Creek is poorly significant (table 6); whereas, the regression coefficients for time trend (table 8) are all highly significant. In other instances the simple correlation coefficients are not significant at the level tested, but the regression coefficients are significant. The regression coefficients tend to have the same sign as the simple correlation coefficients, especially so if they are significant. Exception to this is noted for rainfall quantity on the Brandywine Creek in which the simple correlation coefficient is positive and highly significant; whereas, the regression coefficients are negative and less than highly significant. Intercorrelation among the independent variables is the cause of this change of sign and significance. Based on data used in this analysis and the equations derived therefrom, water discharge proves to be the most important independent variable for describing variation of sediment transport in streams. The tendency is strong for the mean concentration of sediment (...

General

Imprint:	Rarebooksclub.com
Country of origin:	United States
Release date:	May 2012
First published:	May 2012
Authors:	Geological Survey
Dimensions:	246 x 189 x 5mm (L x W x T)
Format:	Paperback - Trade
Pages:	94
ISBN-13:	978-1-235-97976-7
Categories:	Books
LSN:	1-235-97976-8
Barcode:	9781235979767

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