THE EFFECT OF STEEP SLOPES ON THE APPLICATION OF THE USLE, RUSLE, AND MUSLE METHODS
DOI:
https://doi.org/10.11113/aej.v14.20567Keywords:
erosion, Way Khilau Sub-Sub-Watershed, USLE, MUSLE, RUSLE.Abstract
Soil erosion and ecological environmental damage cause environmental and resource problems in the Way Khilau Sub-Sub-Watershed. The purpose of the study was to compare the predictions of the soil erosion rates of the universal soil loss equation (USLE), its revised model (RUSLE), and its modified version (MUSLE). This study comprises several stages; literature review, data collection, and erosion calculations. The erosion calculations were based on 3 methods; THE USLE, RUSLE and MUSLE methods, which were then analyzed for the results of the comparison. The largest erosion values of all the methods on steep slope land (25-45%) were 526.5485 tons/Ha/th with the USLE Method, 585.3 tons/Ha/th with the RUSLE Method, and 13202.38 tons/Ha/th with the MUSLE Method. The lowest erosion values of all methods on sloping slope land (0-8%) were 0.879 tons/Ha/th with the USLE Method, 0.94 tons/Ha/th with the RUSLE Method, and 22.04 tons/Ha/th with the MUSLE Method. The results of the calculations of the average erosion per year in the Way Khilau Sub-Sub-Watershed with the USLE and RUSLE methods fall into the medium category (S), while with the MUSLE Method, it falls into the very heavy category (SB). In conclusion, the USLE and RUSLE soil erosion models had relatively similar results, yet the MUSLE model showed a higher spatial difference in erosion potential than the other models.
References
Vinh, B. T., & Truong, N. H., 2012. Erosion Mechanism of Nga Bay Riverbanks, Ho Chi Minh City, Vietnam. ASEAN Engineering Journal. C, 3(2): 132-141.
Omar Djoukbala, Mahmoud Hasbaia, Oussama Benselama, Mohamed Mazour, 2018, Comparison of the erosion prediction models from USLE, MUSLE and RUSLE in a Mediterranean watershed, case of Wadi Gazouana (N-W of Algeria), Article Modeling Earth Systems and Environment.
Zheng Yanshuang, Lin Jing, Li Binbin, Liu Jie, Liu Mingxin, 2020, Process of Soil Erosion Study Method, Earth and Environmental Science. 526. IOP Publishing doi: 10.1088 / 1755-1315 / 526/1/012008 5).
Bjorn Tetzlaff dan Wendland 2012, Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty, Water Resources Management 26(1): 165-184. DOI: 10.1007/s11269-011-9911-1.
C.C. Truman, T.C. Strickland, T.L. Potter, D.H. Franklin, D.D. Bosch, C.W. Bednarz, 2007, Variable Rainfall Intensity and Tillage Effects on Runoff, Sediment, and Carbon Losses from a Loamy Sand under Simulated Rainfall. Journal of Environmental Quality, 36(5): 1495-1502, John Wiley and Sons Inc.
Toy T. J., et.al., 1998, Guidelines For The Use of The Revised Universal Soil Loss Equation (RUSLE) Version 1.06 on Mined Lands, Construction Sites and Reclaimed Lands. The Office of Technology Transfer, Western Regional Coordinating Center, Denver.
Zhang Y., et.al., 2008, Integration of Modified Universal Soil Loss Equation (MUSLE) Into A GIS Framework To Assess Soil Erosion Risk. WileyInterSci.
Yeza Febriani, 2013, Erosion Prediction Using The Usle Method In Areas Prone To Soil Movement In The Bengkulu-Kepahiang Cross Road Area. Scientific Journal of Edu Research.2(1): 47-52
Arsyad, 2010, Soil and Water Conservation. Bogor (ID): IPB Pr.
Tanuma, K., Suif, Z., Komsai, A., Liengcharernsit, W., & Valeriano, O. C. S., 2015. Modeling Distributed Hydrological and Sediment Processes To Assess Land Use Effects In Chao Phraya River Basin. ASEAN Engineering Journal, 4(1): 30-47.
Principe, J., & Blanco, A. 2014. Swat Model For Assessment Of Climate Change And Land Use/Land Cover Change Impact On Philippine Soil Loss And Exploration Of Land Cover-Based Mitigation Measures: Case Of Cagayan River Basin. Asean Engineering Journal, 3(2): 83-104.
Author? 2018, Capacity Development For Implementing Rio Conventions Through Enhancing Incentive Mechanisms For Sustainable Watershed/Land Management. Laporan Kegiatan, Lampung.
Dr. Ir. Zainal Abidin, M.E.S., 2018, Socio-Economic and Gender Studies in Sub-Das Way Khilau, Sub-Das Bulok, Das Sekampung, Lampung Province. Politeknik Negeri Lampung. Lampung
Wischmeier,W.H. et.al., 1978, Predicting Rainfall Erosion Losses – A Guide To Conservation Planning, Ag. Handbook No.537. USDA.
Renard, K.G., G.R. Foster, G.A. Weesies, D.K. McCool, and C.D. Yoder. 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Soil Loss Equation (RUSLE). U.S. Department of Agriculture, Agricalture Handbook 703: 384
Bambang Triatmodjo. 2009. Applied Hydrology, Betta Ofset Yogyakarta. Yogyakarta.
Nugroho, Robby Ajie, 2019, Development of Infiltration Wells in Residential Areas in Dampit District, Malang. Institut Teknologi Nasional Malang
Asdak, 1995: Asdak, Chay, 1995. Hydrology of Watershed Processing, 458. Gajah Mada Universuty Prees Yogyakarta.
Nikolaos Efthimiou, Evdoxia Lykoudi, and Emmanouil Psomiadis, 2020, Inherent relationship of the USLE, RUSLE.
Presbitero A. L. 2003. Soil Erosion Studies on Steep Slopes of Humid-Tropic Philippines. School of Environmental Studies, Nathan Campus, Griffith University, Queensland. Australia.
Hazem Ghassan Abdo, Juliet Salloum,2017, Spatial assessment of soil erosion in Alqerdaha basin (Syria), Modeling Earth Systems and Environment 3(1): 1-7
Ali İmamoğlu, Orhan Dengiz, 2016. Determination of soil erosion risk using RUSLE model and soil organic carbon loss in Alaca catchment (Central Black Sea region, Turkey). Lincei Statements. Physical and Natural Sciences: 28(1):11-23. DOI: 10.1007/s12210-016-0556-0
Elias Rodrigues da Cunha, Vitor Matheus Bacani, Elói Panachuki, 2017, Modeling soil erosion using RUSLE and GIS in a watershed occupied by rural settlement in the Brazilian Cerrado, Natural Hazards. 85: 851–868.
Tung Gia Pham, Jan Degener, Martin Kappas, 2018, International Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin, Central Vietnam. Soil and Water Conservation Research. 6(2): 99-110.
Thomas, j., Joseph, S., Thrivikramji, KP., 2018. Assessment of Soil Erosion in a Tropical Mountain River Basin of the Southern Western Ghats, India using RUSLE and GIS. Geoscience Frontiers, 9: 893-906.
Jorge V.Prado-Hernández,PedroRivera-Ruiz, Benjamín deLeón-Mojarro, MauricioCarrillo-García, AntonioMartínez-Ruiz,2017, Calibration of the Usle and musle soil loss models in amexican forest watershed: El Malacate case study, Agrociencia, 51(3): 265-285 México.
Denik S. Krisnayanti, Made Udiana, Melati J. Muskanan, 2018, Estimating Erosion and Sedimentation Using The Usle And Musle Methods In Das Noel-Puames, Journal of Civil Engineering, VII (2): 143-154
Petru Cârdei, 2010, The Dimensional Analysis Of The Usle - Musle Soil Erosion Model, National Institute of Research-Development for Machines and Installations Designed to Agriculture and Food Industry (INMA), Series B(3): 249–253, Proc. Rom. Acad, Bucharest, Romania.
Selin Handayani, 2020, Estimation of Erosion in sub-sub-das Khilau sub-das Bulok Das Sekampung, Journal of the Faculty of Agriculture Unila, 11(3):273-284. FP Unila Publications, Lampung. ISSN 2337-7992
