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EN
This article shows the results of analyses conducted of the seasonal variability of nitrogen concentrations and loads, depending on plants growing season, this doesn’t seem to work, consider changing to something like ‘dependent upon the stage of the plant growing season,’ if that is what you mean as well as river flow and the precipitation levels in the basins of Middle Warta, Reda and Rega. The Macromodel DNS/SWAT, implemented for three basins, has been calibrated in calculations profiles of three river basins this is vague and unclear, the repetition of ‘three (river) basins’ is particularly confusing. The analysis confirmed the significant impact of cover crops on the retention of water and nutrients. The phenomenon of periodic decreases and stabilisation of nitrogen concentrations and loads in the surface waters flowing through the profiles of the enclosing water body was observed and analysed. The flattening phenomenon analysis of the phenomenon to me, the repetition of ‘phenomenon’ is confusing, you could clarify this by defining the second use of ‘phenomenon’ by, for example, inserting ‘of these decreases and stabilisation’ here can be used to assess the state of the ecosystem in the basin area.
PL
W artykule przedstawiono wyniki analiz sezonowej zmienności azotu ogólnego w zależności od sezonu wegetacyjnego, a także przepływu rzeki i wielkości opadów występujących na zlewni środkowej Warty, Redy i Regi. Do tego celu został wykorzystany Makromodel DNS/SWAT, który został skalibrowany dla profili ujściowych wybranych zlewni. Przeprowadzona analiza potwierdziła znaczący wpływ roślin okrywowych na retencję wody i składników odżywczych. Zaobserwowano okresowe zmniejszanie się stężenia azotu w powierzchniowych wodach płynących. Zaobserwowane zjawisko może zostać wykorzystane do oceny stanu ekosystemu w obszarze dorzecza, a także umożliwia ocenę rzeczywistego wpływu zarządzania zlewnią na cykl azotu.
EN
Water eutrophication still causes many environmental and social problems, and so better quantification of the amount of nutrient loads discharged into surface waters is required. The basis for eutrophication analysis is data gathered in the frame of State Environmental Monitoring (SEM). In Poland, these measurements are carried out at the frequency of 6-12 times per year and serve as the basis for calculating the amount of nutrient input discharged to the sea. This article presents the results of the analysis of the representativeness of one measurement make two-hourly per day of the variability of total nutrient concentrations. For this purpose three cycles of field studies were carried out in accordance with plant growing season. The measurements were taken in November 2013, February 2014, and June 2014 in the Słupia River, at the site where it flows through the village of Charnowo (river profile). The analysis showed a significant change in the amount of total nutrient concentration during the day (up to 60% for total nitrogen and total phosphorus). This trend was maintained regardless of the stage of plant growth. Therefore, both the date for water sample collection and the time the measurement was taken become important for the subsequent evaluation of nutrient loads discharged into the sea. It is reasonable to assess the level of nutrient loads discharged into the sea not on the basis of a single measurement but based on the continuous registration of nutrients – this allows us to assign a daily average. It is also important from the point of view of the calibration of mathematical models, which are now an essential tool for analysing and forecasting environmental changes, and for which access to detailed data is very important.
EN
This paper presents an application of hydrological and hydraulic models for transferring instantaneous discharges from a water gauge station to budgeting sites on rivers. Calculations were done using the following models: MIKE NAM rainfall-runoff model and a hydrodynamic MIKE 11 HD model. The simulations were carried out for the catchment of Warta River and its tributaries for the multiyear period 1999–2009.
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