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<p><strong>Abstract.</strong> The understanding of water quality and its underlying processes is important for the protection of aquatic environments. Here an explainable AI (XAI) based multivariate time series analytical framework is applied on high-frequency water quality measurements including nitrate and electrical conductivity and twelve other environmental parameters. The relationships between water quality and the environmental parameters are investigated by a clusterdoi:10.5194/gmd-2020-87 fatcat:bazscscz5zc6zgeair7jactyle