Development of neutron activation for investigation of water clarification
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Abstract
The applicability of power spectral density techniques, Fourier series analysis, and linear regression to the mathematical modeling of river water temperature is demonstrated. Consideration is also given to the problem of estimating thermal inputs to rivers from man-made sources such as electrical power plants. First, power spectral density techniques are used in the time-series analysis of water temperature records which were taken from the Missouri River. Two spectral ranges are then studied from the standpoint of their applicability to (1) mathematical model building and (2) detection and identification of cyclic thermal inputs. Next, a Fourier regression fit to the time-series data is used to show that normal random variates having zero mean are obtained when the regression curve is extracted from the data. A 60-day prediction of daily-average water temperature is then made using a model which is based upon a polynomial regression fit to the fluctuating amplitudes of significant Fourier components. A final predictive model, which is based on the above analysis methods,is proposed.
This material is based upon work supported by the U.S. Geological Survey and the Missouri Water Center under the Grant/Cooperative Agreement.
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey or Missouri Water Center. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey or Missouri Water Center.
This material is based upon work supported by the U.S. Geological Survey and the Missouri Water Center under the Grant/Cooperative Agreement.
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey or Missouri Water Center. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey or Missouri Water Center.