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Validation of probabilistic models based on goodness-of-fit tests is an essential step for the frequency analysis of extreme events. The outcome of standard testing techniques, however, is mainly dete...
Conventional streamflow models operate under the assumption of constant variance or season-dependent variances (e.g. ARMA (AutoRegressive Moving Average) models for deseasonalized streamflow series an...
Questions concerning the effects of drainage, peat mining and timber harvesting on streamflow response in the northern Lake States of the U.S.A. led to the development of the Peatland Hydrologic Imp...
The Snowmelt-Runoff Model (SRM), a simple degree-day model, has been applied to over 50 basins in 15 countries around the world. Where results have been reported, the average R' has been 0.84 and th...
The widely-used hydrological procedures for calculating events with T-year return periods from data that follow a Gumbel distribution assume that the data sequence from which the Gumbel distribution i...
There is an ever increasing need to apply hydrological models to catchments where streamflow data are unavailable or to large geographical regions where calibration is not feasible. Estimation of mode...
Nutrient leaching from agricultural production is still recognised as a major environmental problem in Finland.
Microbial processes in soil are moisture, nutrient and temperature dependent and, consequently, accurate calculation of soil temperature is important for modelling nitrogen processes.
The amount and concentration of N in catchment runoff is strongly controlled by a number of hydrological influences, such as leaching rates and the rate of transport of N from the land to surface wate...

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