Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4401–4424, 2018
Hydrol. Earth Syst. Sci., 22, 4401–4424, 2018

Research article 21 Aug 2018

Research article | 21 Aug 2018

Detecting dominant changes in irregularly sampled multivariate water quality data sets

Christian Lehr et al.

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Cited articles

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Basu, N. B., Destouni, G., Jawitz, J. W., Thompson, S. E., Loukinova, N. V., Darracq, A., Zanardo, S., Yaeger, M., Sivapalan, M., Rinaldo, A., and Rao, P. S. C.: Nutrient loads exported from managed catchments reveal emergent biogeochemical stationarity, Geophys. Res. Lett., 37, L23404,, 2010. 
Basu, N. B., Thompson, S. E., and Rao, P. S. C.: Hydrologic and biogeochemical functioning of intensively managed catchments: A synthesis of top-down analyses, Water Resour. Res., 47, W00J15,, 2011. 
Beudert, B., Bässler, C., Thorn, S., Noss, R., Schröder, B., Dieffenbach-Fries, H., Foullois, N., and Müller, J.: Bark Beetles Increase Biodiversity While Maintaining Drinking Water Quality, Conserv. Lett., 8, 272–281,, 2015. 
Bieroza, M. Z., Heathwaite, A. L., Mullinger, N. J., and Keenan, P. O.: Understanding nutrient biogeochemistry in agricultural catchments: the challenge of appropriate monitoring frequencies, Environ. Sci.-Proc. Imp., 16, 1676–1691,, 2014. 
Short summary
We suggested and tested an exploratory approach for the detection of dominant changes in multivariate water quality data sets with irregular sampling in space and time. The approach is especially recommended for the exploratory assessment of existing long-term low-frequency multivariate water quality monitoring data.