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Comparison of the Methods for LS Factor Calculation when Evaluating the Erosion Risk in a Small Agricultural Area Using the USLE Tool

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EN
Abstrakty
EN
In the projects of anti-erosion protection in the Czech Republic, USLE was used as a standard tool for evaluating the risk of water erosion. The precision of the resulting USLE values is defined by the quality of input data and algorithms used. Two methods for LS factor calculation are recommended for use in the planning practice in the Czech Republic: the computing method based on the USLE 2D software and the other computing methods. Various methods can assess the LS factor; however, their results differ. On the example of the Starovice – Hustopeče study area (Czech Republic), strongly threatened by erosion, this report aimed to show the differences brought using these differing methods of LS factor assessment, all in two variants before and after application of antierosion measures (retention grass belts, grassed thalweg). Changes in the calculation of the LS factor were directly reflected in the calculation of the long-term average soil loss by water erosion.
Słowa kluczowe
Rocznik
Strony
100--109
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
  • Research Institute for Soil and Water Conservation, v.v.i., Department of Land Consolidations and Land Use Planning, Lidická 25/27, 602 00 Brno, Czech Republic
  • Research Institute for Soil and Water Conservation, v.v.i., Department of Land Consolidations and Land Use Planning, Lidická 25/27, 602 00 Brno, Czech Republic
  • Research Institute for Soil and Water Conservation, v.v.i., Department of Land Consolidations and Land Use Planning, Lidická 25/27, 602 00 Brno, Czech Republic
  • Research Institute for Soil and Water Conservation, v.v.i., Department of Land Consolidations and Land Use Planning, Lidická 25/27, 602 00 Brno, Czech Republic
Bibliografia
  • 1. Bhattarai, R., Dutta, D. 2007. Estimation of soil erosion and sediment yield using GIS at catchment scale. Water Resources Management, 21: 1635–1647.
  • 2. Beskow, S., De Mello, C.R., Darrell, N.L., Curi, N., Viola, M.R., Avanzi, J.C. 2009. Soil erosion prediction in the Grande River Basin, Brazil using distributed modelling. Catena, 79 (1), 49–59.
  • 3. Desmet, P.J.J.; Govers, G. A. 1996. GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. Soil Water Conservation, 51, 427–433.
  • 4. Dostál T., Janeček M., Kliment Z., Krása J., Langhammer J., Váška J., Vrána K. 2006. In Boardman J., Poesen J. (eds.) Soil erosion in Europe. Chichester: John Wiley & Sons Ltd., 107–116.
  • 5. Efe, R., Ekinci, D., Curebel, I., 2000 Erosion analysis of Sahin watershed (NW of Turkey) using GIS based on RUSLE (3d) method; J. Appl. Sci. 8(1), 49–58.
  • 6. Hartvigsen, M. 2014. Land mobility in Central and Eastern Europe land consolidation context. Nordic Journal of Surveying and Real Estate Research, 10(1), 23–46.
  • 7. Holý, M. 1994. Erosion and the Environment. Czech Technical Institute, Prague. (in Czech).
  • 8. Holý, M. 1978. Anti-erosive Protection. National Publishing House for Technical Literature, Prague. (in Czech).
  • 9. Janeček, M. et al. 2012. Protection of agricultural land against erosion. Methodology. Prague. (in Czech).
  • 10. Kadlec, M., Toman, F. 2002. Correlation between the anti-erosive factor effectiveness of vegetation cover C and the climatic region. In: Bioclimate – Environment – Management.
  • 11. Kapička, J., Novotný, I., Žížala, D. 2017. Monitoring of agricultural land – final report. Prague, VÚMOP. (in Czech).
  • 12. Karásek, P., Kučera, J., Szturc, J., Podhrázská, J., Konečná, J. 2019. Causes of water erosion and benefits of anti-erosion measures in model locality Starovice – Hustopeče (South Moravia Region, Czech Republic). Journal of Ecological Engineering, 20(2), 95–105.
  • 13. Konečná, J., Pražan, J. et. al. 2014. Assessment of economic aspects of erosion control of agricultural land. Certified methodology. Research Institute for Soil and Water Conservation, v.v.i. (in Czech).
  • 14. Konečná J., Karásek P., Beitlerová H., Fučík P., Kapička J., Podhrázská J., Kvítek T. 2020: Using WaTEM/SEDEM and HEC-HMS models for the simulation of episodic hydrological and erosion events in a small agricultural catchment. Soil & Water Res., 15, 18−29.
  • 15. Krasa, J., Dostal, T., Van Rompaey, A., Vaska, J., Vrana, K. 2005. Reservoirs’ siltation measurements and sediment transport assessment in the Czech Republic, the Vrchlice catchment study. Catena, 64, 348–362.
  • 16. Kozlovsky Dufková, J.K., Toman, F. 2014. Calculation of soil washing using chosen empirical models of water erosion. In Rožnovský, J., Litschmann, T., Středa, T., Středová, H. Extremes in Water Circulation in the Landscape, in Czech. Prague: Czech Hydrometeorological Institute, 2014.
  • 17. Kumar, S., Kushwaha, S.P.S. 2013. Modelling soil erosion risk based on RUSLE-3D using GIS in a Shivalik sub-watershed. Journal of Earth Science, 122(2), 389–398.
  • 18. Mitasova, H., Hofierka J., Zlocha, M., Iverson, L.R. 1996. Modelling topographic potential for erosion and deposition using GIS. International Journal of GIS, 10 (5), 629–641.
  • 19. Mitášová, H., Brown, W.M., Johnston, D., Mitáš, L., 1996. GIS tools for erosion/deposition modeling and multidimensional visualization. Part II: unit stream power-based erosion/deposition modeling and enhanced dynamic visualization. Report for USA CERL. University of Illinois, Urbana-Champaign, IL, p. 38.
  • 20. Onyando, J., Kisoyan, P., Chemelil, M.C. 2005, Estimation of Potential Soil Erosion for River Perkerra Catchment in Kenya. Water Resources Management, 19 (2), 133–143.
  • 21. Podhrázská, J., Kučera, J., Karásek, P., Konečná, J. 2015. Land degradation by erosion and its economic consequences for the region of South Moravia (Czech Republic). Soil and Water Research, 10 (2), 105–113.
  • 22. Podhrázská, J., Szturc, J., Karásek, P., Kučera J., Konečná, J. 2019. Economic impacts of farmland degradation in the Czech Republic – Case Study. Agricultural Economics, 60 (11), 529–538.
  • 23. Thomas, J. 2006. Property rights, land fragmentation and the emerging structure of agriculture in Central and Eastern European countries. Journal of Agricultural and Development Economics, 3(2), 225–275.
  • 24. Van Oost, K., Govers, G., 2000. Usle2D: Online manual [online]. Katholieke Universiteit Leuven: 2000, URL:http://www.kuleuven.be/geography/frg/modelling/erosion/usle2dhome/
  • 25. Vopravil, J. et al. 2011. Assessment of Land Erodability Factor in the Czech Republic. Water Management, 6, 249–255. (in Czech).
  • 26. Walling E.D. 2009. The impact of global change on erosion and sediment transport by rivers: current progress and future challenges. Paris: UNESCO. Available at http://unesdoc.unesco.org/images/0018/001850/185078E.pdf.
  • 27. Wischmeier, W.H., Smith, D.D. 1978. Predicting Rainfall Erosion Losses. A Guide to Conservation Planning. The USDA Agricultural Handbook No. 537, Maryland.
  • 28. Zdražil, K. 1965. Economic evaluation of anti-erosive protection. Institute of Scientific and Technical Information of the Ministry of Agriculture, Forestry and Water management of CSSR, Prague. (in Czech).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-61bcd17f-826d-4e74-be49-6c33a91900bc
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