Importance of long-term cycles for predicting water level dynamics in natural lakes.

PLoS One · 2015 · PMC4355075 · PMID 25757071

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We based this criterion on the highly significant ( α < 0.001) water level autocorrelations found in all series as determined by the Durbin-Watson test [ 31 ] under the null hypothesis of no temporal autocorrelation in the series at a 30-day lag.

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