We consider temporal smoothing at two different timescales within a compositional analysis of water quality monitoring data. Our aims are (i) to account for autocorrelation to enable better estimation of the relationship between water quality and flow rates, an important issue with changing weather patterns, and (ii) to disentangle between- and within-day autocorrelation.