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STATISTICAL ANALYSIS OF DAILY WATER QUALITY DATA 1
Author(s) -
Bourodimos E. L.,
Yu S. L.,
Hahn R. A.
Publication year - 1974
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1974.tb00614.x
Subject(s) - biochemical oxygen demand , environmental science , water quality , surface runoff , series (stratigraphy) , hydrology (agriculture) , residual , autocorrelation , time series , pollution , statistics , mathematics , chemical oxygen demand , environmental engineering , ecology , geology , wastewater , geotechnical engineering , paleontology , algorithm , biology
. The stochastic nature of some water quality time series were examined. These time series include nine years of daily observations in: (1) the stream flow ( Q ), (2) the water temperature ( T ), (3) the dissolved oxygen (DO), and (4) the biochemical oxygen demand (BOD) of the Passaic River at Little Falls, New Jersey. It was found that the random component contributes more than 60 per cent of the variance in the BOD series, but only 30 per cent or less in the DO series. Autocorrelation analysis suggest that DO and BOD residual series have a persistence of about 30 days. Significant crosscorrelation between DO and temperature T was found when DO lags T for up to 30 days, which indicates that the critical DO probably lags the critical temperature. Also, spectral anlaysis shows multiple peaks in the BOD series, reflecting effects of storm runoff and other non‐point source pollution on river water quality.