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Influence of runoff of suspended solids on quality of surface water: Case study of the Szreniawa River

Kowalczyk Agnieszka, Smoroń Sylwester, Kopacz Marek

Journal of Water and Land Development

2019

no. 41

83--90

Research was conducted in selected points of the Szreniawa River basin (area 712 km2) located in the Miechowska Upland and the Proszowice Plateau. In the years 2016–2017 water samples from the Szreniawa River were taken monthly and the concentration of suspended solids was determined by filtration. The concentration of biogenic components NO3-N, NH4-N and PO4-P was determined by a colorimetric method, using an automatic flow analyser. The average concentration of suspended solids ranged from 192 to 390 mg∙dm–3 (with minimum values of 5–20 mg∙dm–3 and maximum 837–3937 mg∙dm–3) at individual points. There was an upward trend between the content of suspended solids and the concentration of biogenic components. An extremely high concentration of suspended solids happened during storm-like precipitation at the end of June 2017 and amounted to 3937.2 mg∙dm–3. The concentration of biogenic components was also highest in this period and amounted to 2.50 mg∙dm–3 of NO3-N, 0.49 mg∙dm–3 of NH4-N and 1.18 mg∙dm–3 of PO4-P. At low precipitation the concentration of suspended solids was also low (5.0 mg∙dm–3). A similar pattern was observed for the concentration of biogenic components which was 0.39 mg∙dm–3 of NO3-N, 0.17 mg∙dm–3 of PO4-P and 0.08 mg∙dm-3 of NH4-N.

Badania prowadzono w wybranych punktach na terenie zlewni Szreniawy (o powierzchni 712 km2), położonej na wyżynie Miechowskiej i Płaskowyżu Proszowickim. W latach 2016–2017 pobierano w cyklu miesięcznym próbki wody z rzeki Szreniawy i oznaczano w nich ilości zawiesiny glebowej (metodą filtracji) oraz stężenie N-NO3, N-NH4 i P-PO4 – metodą kolorymetryczną, za pomocą automatycznego analizatora przepływowego. Średnia zawartość zawiesiny glebowej wynosiła od 192 do 390 mg∙dm–3 (min. 5–20, max 837–3937). Stwierdzono rosnący trend zależności między zawartością zawiesiny glebowej a stężeniem składników biogennych. Przykładem ekstremalnie dużej zawartości zawiesiny glebowej był koniec czerwca 2017 r., gdy po opadach o charakterze nawałnicowym wynosiła ona aż 3937,2 mg∙dm–3. Wtedy też stężenie składników biogennych było największe i kształtowało się na poziomie 12,50 mg∙dm–3 N-NO3, 0,49 mg∙dm–3 N-NH4 oraz 1,18 mg∙dm–3 P-PO4. W przypadku niewielkich opadów zawartość zawiesiny glebowej była mała i wynosiła 5,0 mg∙dm–3, a stężenie N-NO3 wynosiło 0,39 mg∙dm–3, P-PO4 – 0,17 mg∙dm–3 i N-NH4 – 0,08 mg∙dm–3.

The changes of energy and carbon in top soil and above-ground part of Dryopteris filix-mas (Pteridophyta) species along the succession of beech forest

Kuklová M., Kukla J., Šimková I.

Polish Journal of Ecology

2014

Vol. 62, nr 3

467--478

The objective of research was to verify, whether succesion of nudal beech forests affects energy, ash and Ct contents of top layers of cambisols and aboveground part of dominant herb species Dryopteris filix-mas. The forest stands, from the juvenile stemwood to the stand of primeval forest character, were located in Slovenské stredohorie Mts (Western Carpathians). It has been found out that the successional stages of beech stands significantly affected soil characteristics of the ecotope, in the case of Dryopteris filixmas species significant difference was observed only for the energy content. Approximately 7.5% less energy was accumulated in humus subhorizons Oof of mature beech stands (110, 200 years) compared with the juvenile stemwoods. On the other hand, in Aoq horizons markedly more energy (by 35–66%) was accumulated in the soils of mature beech phytocoenoses. The influence of stand succession differentiated ash content in Aoq horizons too. Significant difference (7.6%) was found between 85 and 200-year-old beech stand. Within studied parameters only accumulation of Ct in top soil layers was not significantly affected by stand succession. The relation between energy and ash accumulation in top soil layers of studied beech stands showed significant correlations between the variables (P <0.01). Approximately 62% of energy variability in humus subhorizons Ool of the studied stands was affected by the ash content (lower was the ash content – higher was the energy content). In Aoq soil horizons this dependence was 50% (higher was the ash content – lower was the energy content).