Honors Theses and Capstones
Date Completed
Spring 2012
Abstract
The Connecticut Department of Energy and Environmental Protection (CT DEEP) seeks to better classify their streams into thermal regimes (cold, cold transitional, warm transitional, and warm water). A prediction model was created based upon physical characteristics such that CT DEEP could classify streams into thermal regimes based upon the parameters described in Lyons et al. 2009 and compare them to their own classification system. Accurately classifying these thermal regimes determines the environmental protection provided to a stream as well as the potential for establishing fisheries.
First Advisor
Jennifer Jacobs
College or School
CEPS
Department or Program
Civil Engineering
Recommended Citation
Carlson, Erik, "Estimating Connecticut Stream Temperatures Using Predictive Models" (2012). Honors Theses and Capstones. 36.
https://scholars.unh.edu/honors/36