Water temperature forecasting and estimation using Fourier series and communication theory techniques
- 1 October 1976
- journal article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 12 (5) , 881-887
- https://doi.org/10.1029/wr012i005p00881
Abstract
Fourier series and statistical communication theory techniques are utilized in the estimation of river water temperature increases caused by external thermal inputs. An example estimate assuming a constant thermal input is demonstrated. A regression fit of the Fourier series approximation of temperature is then used to forecast daily average water temperatures. Also, a 60‐day prediction of daily average water temperature is made with the aid of the Fourier regression fit by using significant Fourier components.This publication has 6 references indexed in Scilit:
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- Stochastic modeling of temperature and flow in riversWater Resources Research, 1972
- Fate of Thermally Polluted Surface Water in RiversJournal of the Sanitary Engineering Division, 1971
- Analysis of Water Temperature Variations in Large RiverJournal of the Sanitary Engineering Division, 1971
- Stream Temperature Prediction ModelWater Resources Research, 1970
- Predicting Temperatures of Small StreamsWater Resources Research, 1969