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The EU Water Framework Directive demands maintaining or attaining good quality of the water bodies within the territory of the member states, which is strictly connected with the planning process of the water resources management. The water management plans have to include the assessment of the water body quality condition and further propose the actions to be implemented to enhance the quality of the European water resources. In order to answer the question of whether there is a risk of failure to achieve the WFD objectives, an assessment of the current status should be carried out, followed by an estimate on how likely achieving a good water status in the future is. One of the most popular valorization methods used for the water quality assessment is the River Habitat Survey (RHS) that enables the determination of two indicators, which summarize many single basic parameters, to assess the hydromorphological properties of rivers in a numerical form. Two indices are used most widely: Habitat Modification Score (HMS), which defines the range of transformations in river morphology and Habitat Quality Assessment (HQA), which is based on the presence and diversity of natural elements of the stream and river valley. The application of the above mentioned numerical indices allows calculating the hydromorphological quality status of the studied section following the expectations of the Water Framework Directive. Five ecological classes are distinguished. RHS is described as objective, suitable for statistical analyses, multidirectional and applicative method. However, the final valorization results are strongly affected by the presence of vegetation, which varies during the whole year. This contribution describes the analysis and comparison of the RHS results over the four seasons, namely: spring, summer, autumn and winter of three small lowland rivers in Poland (Zielawa, Zwoleńka and Zagożdżonka). It was unequivocally found that the value of the HQA parameter varied during the seasons, and the changes in its numerical value mainly depended on the condition, development level of vegetation, and the number of species observed. It was demonstrated that depending on the season, the Habitat Quality Assessment variation could change in about 5% of the maximal value, which could lead to a step from one hydromorphological class to another.
Czasopismo
Rocznik
Tom
Strony
116--126
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
autor
- Institute of Civil Engineering, Warsaw University of Life Sciences WULS – SGGW, Poland
Bibliografia
- 1. Able K.W., Manderson J.P., Studholme A. L. 1999. Habitat quality for shallow water fishes in an urban estuary: the effects of man-made structures on growth, Marine Ecology Progress Series 187, 227–235.
- 2. Armitage P.D., Pardo I. 1995. Impact assessment of regulation at the reach level using macro invertebrate information from mesohabitats, Regulated River: Research and Management 10, 147–158.
- 3. Banasik K., Hejduk L. 2011. Variability in runoff from a small agricultural catchment – based on long term monitoring data. In: Prediction and Reduction of Diffuse Pollution, Solid Emission and Extreme Flows from Rural Areas – case study of small agricultural catchment (Ed. by K. Banasik, L. Øygarden & L. Hejduk), Wydawnictwo SGGW, Warszawa.
- 4. Byczkowski A. 1999. Hydrologia T. I. Wydawnictwo SGGW, Warszawa.
- 5. Jusik S., Bryl Ł., Przesmycki M. 2015. Najczęstsze błędy w stosowaniu metody RHS. RHS w Polsce, 1–4 [in Polish].
- 6. Ferreira J., Padua J., Hughes S.J, Cortes R.M., Varandas S., Holmes N., Raven P. 2011. Adapting and adopting River Habitat Survey: Problems and solutions for fluvial hydromorphological assessment in Portugal, Limnetica 30 (2), 263–272.
- 7. Lacoul P., Freedman B. 2006. Environmental influences on aquatic plants in freshwater ecosystems. Environmental Reviews 14(2), 89–136.
- 8. Kemp J.L., Harper D.M., Crosa G.A. 2000. The habitat-scale ecohydraulics of rivers, Ecological Engineering 6, 17–29.
- 9. Kiraga M., Popek Z. 2014. Using the River Habitat Survey method in forecasting effects of river restoration, Annals of Warsaw University of Life Sciences – SGGW. Land Reclamation 46 (2), 125–138.
- 10. Knehtl M., Petkowska V., Urbanič G. 2017. Is it time to eliminate field surveys from hydromorphological assessments of rivers?–Comparison between a field survey and a remote sensing approach, Ecohydrology 11:e1924, 1–12.
- 11. Krasowicz S., Oleszek W., Horabik J., Dębicki R., Jankowiak J., Stuczyński T., Jadczyszyn J. 2011. Racjonalne gospodarowanie środowiskiem glebowym Polski, Polish Journal of Agronomy 7, 43–58.
- 12. Popek Z., Wasilewicz M. 2004. Comparison of morphological characteristics of natural and regulated river reaches based on example of the Wkra River, Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 30, 128–137 [in Polish].
- 13. Raven P.J., Holmes N.T.H., Dawson F.H., Everard M. 1998. Quality assessment using River Habitat Survey data, Aquatic Conservation: Marine and Freshwater Ecosystems 8, 477–499.
- 14. Teodosiu C., Barjoveanu G., Teleman D. 2003. Sustainable water resources management 1. River basin management and the EC Water Framework Directive, Environmental Engineering and Management Journal 2(4), 377–394.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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