Engineering Study of Erosion to Protect the Gometseri Alazani and Pirikiti Alazani Catchment Area (Kakheti region, Akhmeta municipality, Tusheti)

• Autorzy: Inashvili Irma , Bziava Konstantine , Pawłowicz Joanna A. , Tsinadze Zaal , Janjalashvili Demetre

Identyfikatory

DOI

10.59440/ceer/193151

• Języki publikacji: EN

Abstrakty

EN

Soil erosion is a global environmental issue that reduces soil productivity, affects water quality, leads to sediment deposition, and increases the likelihood of agricultural land degradation. Combating erosion requires both quantitative and qualitative assessment of potential soil erosion on specific sites, along with knowledge of local terrain, soil types, land use systems, and management practices. From a theoretical and practical point of view, erosion processes are widespread and dangerous in Georgia, especially in mountainous areas. Slopes that have not been eroded or have not formed ravines are rare. Intensive landslides and mudslides are also observed here. Changes in factors associated with erosion are of interest, including the impact of climate change and human activity on components of erosional geosystems, especially on soil cover. Modern geoinformation systems (GIS) provide qualitatively new opportunities for research, modelling and optimization of the use of erosion-prone lands. Despite its wide application in many spheres of human activity, its potential in erosion research has not yet been fully realized. This article discusses about the Gometseri Alazani and Pirikiti Alazani (Akhmeta Municipality, Tusheti) catchment areas. The erosion-landslide processes developed in the research area are studied using the Revised Universal Soil Loss Equation (RUSLE). Erosion-vulnerable areas have been identified, where it is necessary to carry out additional engineering protection measures.

Słowa kluczowe

EN

soil erosion; land degradation; river catchment; RUSLE; Revised Universal Soil Loss Equation; GIS; geoinformation systems

PL

erozja gleby; degradacja ziemi; zlewnia rzek; RUSLE; GIS

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: Civil and Environmental Engineering Reports
• Rocznik: 2024
• Tom: Vol. 34, no. 4
• Strony: 223--233
• Opis fizyczny: Bibliogr. 14 poz., il., mapy

Twórcy

autor

Inashvili Irma

• Georgian Technical University, Faculty of Civil Construction Tbilisi, Georgia

• https://orcid.org/0000-0002-6202-4580

autor

Bziava Konstantine

• Georgian Technical University, Faculty of Civil Construction Tbilisi, Georgia

• https://orcid.org/0000-0003-1237-5224

autor

Pawłowicz Joanna A.

• University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering, Poland

• https://orcid.org/0000-0002-1334-5361

autor

Tsinadze Zaal

• Georgian Technical University, Faculty of Civil Construction Tbilisi, Georgia

autor

Janjalashvili Demetre

• Georgian Technical University, Faculty of Civil Construction Tbilisi, Georgia

Bibliografia

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• 2. Mitasova, H et al. 1996. Modelling topographic potential for erosion and deposition using GIS. International journal of geographical information systems 10(5), 629-641.
• 3. Wawer, R et al. 2005. Real and Calculated K RUSLE Erodibility Factor for Selected Polish Soils. Polish Journal of Environmental Studies 14(5), 655-658.
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• 5. Qin, C et al. 2007. An adaptive approach to selecting a flow partition exponent for a multiple flow direction algorithm. International Journal of Geographical Information Science 21(4), 443-458.
• 6. McCool, DK et al. 1989. Revised slope length factor for the Universal Soil Loss Equation. Transactions of the ASAE 32(5), 1571-1576.
• 7. Shin, GJ 1999. The Analysis of Soil Erosion Analysis in Watershed Using GIS. Ph.D. Dissertation, Department of Civil Engineering, Gang-Won National University, Chuncheon.
• 8. Inashvili, I, Bziava, K, Denisova, I and Shogiradze M 2021. Determination of Normalized Difference Vegetation Index using remote sensing and GIS (River Duruji Basin, Kvareli Municipality, Georgia). Proceedings of the XXIX International Scientific and Practical Conference on International Trends in Science and Technology, Warsaw, Poland, May 30, 3-9.
• 9. Greenlee, DD 1997. A new method for the determination of flow directions and upslope areas in grid digital elevation models. Water Resources Research 33(2), 309-319.
• 10. NRCS: USDA State Office of Michigan, Technical Guide to RUSLE Use in Michigan, 2002, 116.
• 11. Inashvili, I, Bziava, K, Denisova, I and Shogiradze, M 2021. Determination of Slope Length and Steepness Factor (LS) For Duruji River Basin. Engineering and Technology Journal 6(6), 932-935.
• 12. Wischmeier, W and Smith, D 1978. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Agricultural Handbook No. 537; USDA, Science and Education Administration: Hyattsville, MD, USA.
• 13. Torri, D et al. 2006. Soil Erosion in Europe. Chichester, John Wiley & Sons, Ltd. 245-261. http://www.iwr.msu.edu/rusle/kfactor.htm.
• 14. Durigon, VL et al. 2014. NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing 35(2), 441-453.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)