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Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

1995

Utah State University

Water Resource Management

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Evaluation Of Lake Fertilization As A Tool To Assist In The Recovery Of The Snake River Sockeye Salmon (Oncorhynchus Nerka), Howard P. Gross May 1995

Evaluation Of Lake Fertilization As A Tool To Assist In The Recovery Of The Snake River Sockeye Salmon (Oncorhynchus Nerka), Howard P. Gross

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

I analyzed lake fertilization (with nitrogen and phosphorus) as a tool to assist in the recovery of the Snake River sockeye salmon (Oncorhynchus nerka) in the oligotrophic Sawtooth Valley Lakes in southcentral Idaho. These analyses involved monitoring, manipulating, and modelling several aspects of the lakes' primary producer, nutrient, and light parameters.

In Pettit Lake, I evaluated the effects of metalimnetic and epilimnetic fertilization in 330-m3 mesocosms. The metalimnetic treatment was equal to or more effective than the epilimnetic treatment in increasing chlorophyll a, phytoplankton biovolume, and primary productivity, yet caused smaller changes in periphyton growth and …


Proceedings Of The 1995 Annual Symposium On Engineering Geology And Geotechnical Engineering (No. 31), Joseph A. Caliendo Mar 1995

Proceedings Of The 1995 Annual Symposium On Engineering Geology And Geotechnical Engineering (No. 31), Joseph A. Caliendo

Reports

No abstract provided.


Locally Weighted Polynomial Regression: Parameter Choice And Application To Forecasts Of The Great Salt Lake, Upmanu Lall, Young-Ii Moon, Ken Bosworth Jan 1995

Locally Weighted Polynomial Regression: Parameter Choice And Application To Forecasts Of The Great Salt Lake, Upmanu Lall, Young-Ii Moon, Ken Bosworth

Reports

Relationships between hydrologic variables are often nonlinear. Usually the functional form of such a relationship is not known a priori. A multivariate, nonparametric regression methodology is provided here for approximating the underlying regression function using locally veighted polynomials. Locally weighted polynomials consider the approximation of the target function through a Taylor series expansion of the function in the neighborhood of the point of estimate. Cross validatory procedures for the selection of the size of the neighborhood over which this approximation should take place, and for the order of the local polynomial to use are provided and shown for some simple …