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Water temperature forecasting and estimation using Fourier series and communication theory techniques
Author(s) -
Long Leland L.
Publication year - 1976
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr012i005p00881
Subject(s) - fourier series , series (stratigraphy) , fourier transform , fourier analysis , regression , regression analysis , discrete fourier series , time series , mathematics , statistics , mathematical analysis , geology , short time fourier transform , paleontology
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.