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avariety of reasons (KREŠIĆ & STEVANOVIĆ, 2010).Cross-correlation analysis is used to assess the effectof mutually dependent variables at different timesteps. The cross-correlation coefficient for any timestep can be obtained

dependency in cross-correlation analyses (precipitation – nitrate concentrationin the spring pool or nitrate concentration in precipitation – nitrate concentration in the spring pool). Theundertaken cross-correlation analyses

monitoring provides sufficiently long time-series of the considered parameter, so that autocorrelation and cross-correlation analyses can be undertaken and AR, CR and ARCR modeling used for simulationsand short-term forecasts.