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Fundamental Analysis Of The Linear Multiple Regression Technique For Quantification Of Water Quality Parameters From Remote Sensing Data, Charles Henry Whitlock Iii

Civil & Environmental Engineering Theses & Dissertations

Inconsistent results have been obtained from previous experiments which have applied linear multiple regression techniques to remote sensing data for quantification of water quality parameters. The objective of this investigation is to define optical physics and/or environmental conditions under which the linear multiple regression should be applicable. To achieve this objective, an investigation of the signal response equations is conducted and the concept is tested by application to both analytical test cases and actual remote sensing data from a laboratory under controlled conditions.

Investigation of the signed response equations shows that the exact solution for a number of optical physics …

Dickey-Lincoln School Lakes Hydroelectric Project : Summary Of Water Quality Factors, New England Division, U.S. Army Corps Of Engineers

Dickey-Lincoln School Lakes Project

The prediction of future water quality conditions in and downstream from a proposed impoundment is dependent upon a myriad of physical, chemical and biological phenomena. It is known from limnology (science of lakes) that all physicochemical and biological functions are greatly controlled or influenced by lake hydro-dynamics, lake thermodynamics, and the quality of inflowing water.

Dickey-Lincoln School Lakes, Maine, U.S.A. And Quebec, Canada: Design Memorandum No. 5: Water Quality, New England Division, United States Army Corps Of Engineers

Dickey-Lincoln School Lakes Project

This design memorandum presents the results of several studies undertaken to provide an understanding of present and potential future water quality conditions within and downstream from Dickey and Lincoln School Lakes in accordance with the requirements of ETL 1110-2-1402, dated 12 November 1976. Included are an examination of baseline water quality conditions and the findings of qualitative and quantitative predictive analyses performed to evaluate water quality conditions during all phases of the project's lifetime. This document will also serve as a reference for the water quality portions of the project Environmental Impact Statement.