Soil Erosion Estimation Using an Empirical Model, Hypsometric Integral and Geo-Information Science – A Case Study

• Autorzy: Maliqi Edon , Kumar Nirmal , Latifi Loresa , Singh Sudhir Kumar

Identyfikatory

DOI

10.12912/27197050/161957

• Języki publikacji: EN

Abstrakty

EN

An approach that integrates the Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was used to determine the soil erosion vulnerability of a forested mountainous watershed. The spatial pattern of annual soil loss rate was obtained by integrating geo-environmental variables in a raster data format based geoinformatics methods and tools. Thematic layers including rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C), and conservation practice (P) factors were computed to determine their effects on average annual soil loss in the Mitrovica city. The serial thematic map of annual soil erosion shows a maximum soil loss of 112.61 ton·ha^-1·y^-1 with a close relation to grass land areas, degraded forests and deciduous forests on the steep side-slopes (with high LS). The geographic age of the region shown by the hypsometric analysis was mature to old stage. The serial erosion maps compiled with the RUSLE model and GIS can serve as effective inputs in deriving strategies for land planning and management in terms of environment concerns.

Słowa kluczowe

EN

GIS; RUSLE; geomorphology; hypsometry; soil erosion

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 4
• Strony: 62--72
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Maliqi Edon

• Faculty of Architecture and Spatial Planning, UBT – Higher Education Institution, Magjistralja Prishtine – Ferizaj, Pristina, Kosovo

• https://orcid.org/0000-0001-9888-7866

autor

Kumar Nirmal

• K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Prayagraj 211002, India

• https://orcid.org/0000-0003-0739-2038

autor

Latifi Loresa

• Kosova Cadastral Agency, Pristina, Kosovo

• https://orcid.org/0000-0002-7258-6536

autor

Singh Sudhir Kumar

• K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Prayagraj 211002, India

• https://orcid.org/0000-0001-8465-0649

Bibliografia

• 1. Gyssels, G., Poesen, J., Bochet, E., Li, Y. 2005. Impact of plant roots on the resistance of soils to erosion by water: A review. Progress in physical geography, 29(2), 189–217.
• 2. Kinnell, P.I.A. 2010. Event soil loss, runoff and the Universal Soil Loss Equation family of models: A review. Journal of hydrology, 385(1–4), 384–397.
• 3. Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., Montanarella, L. 2015. Estimating the soil erosion cover-management factor at the European scale. Land use policy, 48, 38–50.
• 4. Kumar, M., Sahu, A.P., Sahoo, N., Dash, S.S., Raul, S.K., Panigrahi, B. 2022. Global-scale application of the RUSLE model: a comprehensive review. Hydrological Sciences Journal, 67(5), 806–830.
• 5. Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., Montanarella, L. 2015. Estimating the soil erosion cover-management factor at the European scale. Land use policy, 48, 38–50.
• 6. Rellini, I., Scopesi, C., Olivari, S., Firpo, M., Maerker, M. 2019. Assessment of soil erosion risk in a typical Mediterranean environment using a high resolution RUSLE approach (Portofino promontory, NW-Italy). Journal of Maps, 15(2), 356–362.
• 7. Kouli, M., Soupios, P., Vallianatos, F. 2009. Soil erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Chania, Greece. Environmental Geology, 57(3), 483–497.
• 8. Tropikë, A., Valbon, B. 2022. Analysis of soil erosion risk in a river basin–a case study from Hogoshti river basin (Kosovo). Ecological Engineering & Environmental Technology, 23.
• 9. Kulimushi, L.C., Choudhari, P., Maniragaba, A., Elbeltagi, A., Mugabowindekwe, M., Rwanyiziri, G., Singh, S.K. 2021. Erosion risk assessment through prioritization of sub-watersheds in Nyabarongo river catchment, Rwanda. Environmental Challenges, 5, 100260.
• 10. Kulimushi, L.C., Maniragaba, A., Choudhari, P., Elbeltagi, A., Uwemeye, J., Rushema, E., Singh, S.K. 2021. Evaluation of soil erosion and sediment yield spatio-temporal pattern during 1990–2019. Geomatics, Natural Hazards and Risk, 12(1), 2676–2707.
• 11. Kumar Pradhan, R., Srivastava, P.K., Maurya, S., Kumar Singh, S., Patel, D.P. 2020. Integrated framework for soil and water conservation in Kosi River Basin. Geocarto International, 35(4), 391–410.
• 12. Kumar, N., Singh, S.K. 2021. Soil erosion assessment using earth observation data in a trans-boundary river basin. Natural Hazards, 107(1), 1–34.
• 13. Kumar, N., Singh, S.K., Dubey, A.K., Ray, R.L., Mustak, S., Rawat, K.S. 2021. Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6. Geocarto International, 1–24.
• 14. Maliqi, E., Singh, S.K. 2019. Quantitative estimation of soil erosion using open-access earth observation data sets and erosion potential model. Water Conservation Science and Engineering, 4(4), 187–200.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).