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Analysis of water quality data using spectral analysis

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Abstract

Considerable effort has been expended by many State, Federal and private agencies in collecting data by installing automatic water quality monitoring stations on many streams and estuaries. This work discusses techniques for analyzing the data and presents some results based on the analysis of monitoring stations along the Ohio, Detroit, Missouri, and Coosa Rivers. Autocorrelation, spectral estimates, cross correlation, amplitude of transfer function and coherence square have been evaluated to correlate a water quality variable measured at different positions or different variables measured at the same location. Results from the different rivers have been compared and some conclusions have been drawn.

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Authors and Affiliations

  1. Department of Chemical Engineering, Kansas State University, Manhattan, Kan., USA

    J. S. Shastry, L. T. Fan & L. E. Erickson

Authors
  1. J. S. Shastry
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  2. L. T. Fan
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  3. L. E. Erickson
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Shastry, J.S., Fan, L.T. & Erickson, L.E. Analysis of water quality data using spectral analysis. Water Air Soil Pollut 1, 233–256 (1972). https://doi.org/10.1007/BF00294002

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  • DOI: https://doi.org/10.1007/BF00294002

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