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Journal of Ecological Engineering

Tytuł artykułu

Geomodelling of Destruction of Soils of Ukrainian Steppe Due to Water Erosion

Autorzy Dudiak, Nataliia Vasylivna  Pichura, Vitalii Ivanovich  Potravka, Larisa Aleksandrovna  Stratichuk, Natalia Vladimirovna 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN Spatial raster distribution models of the values of factors influencing the potential soil erosion hazard were created using GIS technologies. The erosion hazard was estimated using the modified RUSLE (Revised Universal Soil Loss Equation) model. The potential of annual soil loss of arable land was calculated. The spatial gradation of erosion violation of administrative and territorial units in the steppe zone of Ukraine was provided. About 32.7% of arable land that is subject to high erosion hazard was allocated. About 48 administrative and territorial units have a specific area less than 5% of erosion disturbed lands. They are characterized by a resistant type of agrolandscapes regarding the water-erosion processes. Most administrative and territorial units with high erosive-accumulative potential (the percentage of the area is 15% or more) are located in the western and southwestern parts of the steppe zone of Ukraine. The specific area of erosion hazardous lands reaches up to 32% in separate administrative-territorial units. The obtained results allow determining the need for a spatially discrete-distribution implementation of adaptive-landscape anti-erosion design with the elements of soil-protective agriculture.
Słowa kluczowe
EN water erosion   RUSLE   rainfall erosivity   soil erodibility   topography factor   erosion index   crops   steppe zone   GIS technologies   geomodeling  
Wydawca Polskie Towarzystwo Inżynierii Ekologicznej
Czasopismo Journal of Ecological Engineering
Rocznik 2019
Tom Vol. 20, nr 8
Strony 192--198
Opis fizyczny Bibliogr. 17 poz., rys., tab.
autor Dudiak, Nataliia Vasylivna
  • Kherson State Agricultural University, Ukraine, 73006, Kherson, Stritens’ka str. 23
autor Pichura, Vitalii Ivanovich
autor Potravka, Larisa Aleksandrovna
  • Kherson State Agricultural University, Ukraine, 73006, Kherson, Stritens’ka str. 23
autor Stratichuk, Natalia Vladimirovna
  • Kherson State Agricultural University, Ukraine, 73006, Kherson, Stritens’ka str. 23
1. Benkobi L., Trlica M.J. and Smith J.L. 1994. Evaluation of a refined surface cover subfactor for use in RUSLE. Range Manage. (47), 74–78.
2. Biesemans J., Meirvenne M.V. and Gabriels D. 2000. Extending the RUSLE with the Monte Carlo error propagation technique to predict long-term average off-site sediment accumulation. Soil Water Conserv, (55), 35–42.
3. Buryak Zh. A. 2015. Basin organization of nature management in Belgorod ecoregion. Cand. Geogr. Sciences. Moscow, pp. 193 (in Russian).
4. Extended five-year report on desertification and degradation of land. Kyiv, 2017, pp. 45 (in Russian).
5. Grushetsky A.V., Krivov V.N., Panochko N.M., Telesh P.V., Chepkov B.M. and Moskalenko V.M. 1990. Album of typical solutions of marking linear boundaries in the development of intrafarm land management projects with the contour-reclamation area organization. UkrNIIzemproekt, 97 (in Russian).
6. Kouli M., Soupios P. and Vallianatos F. 2009. Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Environ Geol, 57(3), 483–497.
7. Lisetskii F.N., Pavlyuk Ya.V., Kirilenko Zh.A. and Pichura V.I. 2014. Basin organization of nature management for solving hydroecological problems. Russian Meteorology and Hydrology, 39(8), 550-557.
8. Lisetskiy F.N., Degtyar A.V., Buryak Zh.A. et al. 2015. Rivers and water bodies of Belogorya. In: F.N. Lisetskiy (Ed.). All-Russian public organization Russian Geographical Society. NRU Belgorod State University. Belgorod: Konstanta, 362 (in Russian).
9. Lisetskiy F.N., Zemlyakova A.V., Narozhnyaya A.G., Terekhin E.A., Pichura V.I., Buryak Zh.A., Samofalova O.M. and Grigoryeva O.I. 2014. Geoplanning of rural areas: experience of the implementation of the concept of river basin environmental management at the regional level. Bulletin of ONU. Series: Geographical and Geological Sciences, 19, 3(22), 125-137 (in Russian).
10. Pichura V., Pilipenko Y., Domaratsky E. and Gadzalo A. 2017. Environmental assessment of the state of trans-boundary watersheds of the Dnieper. Agroecological Journal, 2, 102-116.
11. Pichura V.I. 2016. Spatial prediction of soil erosion risk in the Dnieper river basin using revised universal soil loss equation and GIS-technology. Bulletin of Zhytomyr National Agroecological University, 2(56), 3-11.
12. Pichura V.I., Domaratsky Y.A., Yaremko Yu.I., Volochnyuk Y.G. and Rybak V.V. 2017. Strategic Ecological Assessment of the State of the Transboundary Catchment Basin of the Dnieper River Under Extensive Agricultural Load. Indian Journal of Ecology, 44 (3), 442-450.
13. Pichura V.I., Malchykova D.S., Ukrainskij P.A., Shakhman I.A. and Bystriantseva A.N. 2018. Anthropogenic Transformation of Hydrological Regime of The Dnieper River. Indian Journal of Ecology, 45(3), 445-453.
14. Renard K.G., Foster G.R., Weesies G.A., McCool D.K. and Yoder D.C. 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture Handbook, 703, USDA-ARS.
15. State Standard 1986. Method for determining potential hazards of erosion caused by rain. Moscow, 12 (in Russian).
16. Svitlychnyi O.O. 1995. Quantitative evaluation of the features of the force erosion process and the issue of the optimization of using lands in danger of erosion. Geographic Sciences, Odessa State University, 47 (in Russian).
17. Van Leeuwen W.J.D. and Sammons G. 2004. Vegetation dynamics and soil erosion modelling using remotely sensed data (MODIS) and GIS. Tenth Biennial USDA Forest Service Remote Sensing Applications Conference, 5–9 April 2004, UT. US Department of Agriculture Forest Service Remote Sensing Applications Center, Salt Lake City.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-5bf8bd04-8be9-4be4-b385-6644ce3882fd
DOI 10.12911/22998993/110789