Analysis of rainfall erosivity factor (R) on prediction of erosion yield using USLE and RUSLE Model’s; A case study in Mayang Watershed, Jember Regency, Indonesia

Idah Andriyani, Indarto Indarto, Siswoyo Soekarno, Masdharul Putra Pradana

Abstract

The Rainfall erosivity has a relatively high effect on soil erosion, in addition to being very difficult to predict and control. The Universal Soil Loss Equation (USLE) and The Revised Universal Soil Loss Equation (RUSLE) model are commonly used to predict erosion yield in Indonesia. However, these models have several erosivity formulations that give different results. In this sense, identifying the sensitivity of different erosivity formulations in both models above is important. The aim of this study is to analyze soil erosion yield prediction influenced by the difference in erosivity equation on the same rainfall data used in the models while other parameters used are the same. The monthly rainfall and annual rainfall data were tested using the erosivity formulas. The (1) Bols and (2) Utomo equations were tested using monthly rainfall data, while the (3) Bols and (4) Hurni equations were tested using annual rainfall data. The results show that the prediction of soil erosion yields estimates using monthly rainfall data in both models have no significant differences. On the other hand, soil erosion estimates using annual rainfall data in the models have significant differences, whereas the USLE model estimation results in 63% erosion yield on low classification (0-15 ton ha-1 year-1). Meanwhile, the RUSLE model estimates only 59% erosion yield on low classifications. Another result is that the USLE model estimates lower erosion yield than the RUSLE model when the models use annual rainfall data, which may give significantly different recommendations for soil conservation in Indonesia, especially in reducing erosion yield at the Watershed level.

Keywords

Erodibility; GIS integration; Sensitivity analysis; Soil erosion; Watershed management

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References

Aldrian, E., & Djamil, Y. S. (2008). Spatio-temporal climatic change of rainfall in East Java Indonesia. International Journal of Climatology, 28(4), 435-448. https://doi.org/10.1002/joc.1543.

Andarwati, N., Santoso, A. P. B., & Nurcholis, M. (2021). Pendugaan Erosi Di Lahan Kering Dengan Metode Usle Di Sub Sub Das Dengkeng Kecamatan Bulu Dan Weru Kabupaten Sukoharjo Provinsi Jawa Tengah. 2021, 17(2), 12. https://doi.org/10.31315/jta.v17i2.4238.

Andriyani, I., Jourdain, D., Lidon, B., Soni, P., & Kartiwa, B. (2017). Upland Farming System Erosion Yields and Their Constraints to Change for Sustainable Agricultural Conservation Practices: A Case Study of Land Use and Land Cover (LULC) Change in Indonesia. Land Degradation & Development, 28(2), 421-430. https://doi.org/10.1002/ldr.2598.

Andriyani, I., Wahyuningsih, S., & Arumsari, R. S. (2020). Penentuan Tingkat Bahaya Erosi Di Wilayah Das Bedadung Kabupaten Jember. Jurnal Ilmiah Rekayasa Pertanian dan Biosistem, 8(1), 1-11. https://doi.org/10.29303/jrpb.v8i1.122.

Andriyanto, C., Sudarto, S., & Suprayogo, D. (2015). Estimation of soil erosion for a sustainable land use planning: RUSLE model validation by remote sensing data utilization in the Kalikonto watershed. Journal of Degraded and Mining Lands Management, 3(1), 459-468. https://doi.org/10.15243/jdmlm.2015.031.459.

Avia, L. Q. (2019). Change in rainfall per-decades over Java Island, Indonesia. IOP Conference Series: Earth and Environmental Science, 374(1), 012037. https://doi.org/10.1088/1755-1315/374/1/012037.

Ban, J. K., Yu, I., & Jeong, S. (2016). Estimation of Soil Erosion Using RUSLE Model and GIS Techniques forConservation Planning from Kulekhani Reservoir Catchment, Nepal. Journal of the Korean Society of Hazard Mitigation, 16(3), 323-330. https://doi.org/10.9798/KOSHAM.2016.16.3.323.

Bappenas. (2012). Analisa Perubahan Penggunaan Lahan di Ekosistem DAS Dalam Menunjang Ketahanan Air dan Ketahanan Pangan. Direktorat Kehutanan Dan Konservasi Sumber Daya Air. https://123dok.com/document/yew6mx0y-analisa-perubahan-penggunaan-ekosistem-menunjang-ketahanan-ketahanan-pangan.html

Belayneh, M., Yirgu, T., & Tsegaye, D. (2019). Potential soil erosion estimation and area prioritization for better conservation planning in Gumara watershed using RUSLE and GIS techniques’. Environmental Systems Research, 8(1), 20. https://doi.org/10.1186/s40068-019-0149-x.

Bols, P. (1978). The Iso-erodent Map of Java and Madura. Report of the Belgian Technical Assistance Project ATA 105.

Djoukbala, O., Hasbaia, M., Benselama, O., & Mazour, M. (2019). Comparison of the erosion prediction models from USLE, MUSLE and RUSLE in a Mediterranean watershed, case of Wadi Gazouana (N-W of Algeria). Modeling Earth Systems and Environment, 5(2), 725-743. https://doi.org/10.1007/s40808-018-0562-6.

Ganasri, B. P., & Ramesh, H. (2016). Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin. Geoscience Frontiers, 7(6), 953-961. https://doi.org/10.1016/j.gsf.2015.10.007.

Hanafi, F., & Pamungkas, D. (2021). Aplikasi model RUSLE untuk estimasi kehilangan tanah bagian hulu di Sub DAS Garang, Jawa Tengah. Jurnal Geografi: Media Informasi Pengembangan dan Profesi Kegeografian, 18(1), 30-36. https://doi.org/10.15294/jg.v18i1.28079.

Hariyanto, R. D., Harsono, T., & Fadiarman, F. (2019). Prediksi laju erosi menggunakan metode USLE (universal soil loss equation) di Desa Karang Tengah Kecamatan Babakan Madang Kabupaten Bogor. Jurnal Geografi, Edukasi dan Lingkungan, 3(2), 92–99. https://doi.org/10.29405/jgel.v3i2.3580.

Hurni, H. (1985). Erosion - productivity - conservation systems in Ethiopia. IV International Conference on Soil Conservation. Soil Conservation and Productivity: Proceedings, Maracay, Venezuela. https://doi.org/10.7892/boris.77547

Kartika, I., Indarto, I., Pudjojono, M., & Ahmad, H. (2016). Pemetaan Tingkat Bahaya Erosi pada Level Sub-DAS: Studi pada Dua Das Identik. Jurnal Agroteknologi,, 10(1), 117-128. https://jurnal.unej.ac.id/index.php/JAGT/article/view/4332.

Karyati, K. (2016). Penaksiran Indeks Erosivitas Hujan di Kuching, Sarawak. Gerbang Etam, 10(2), 38-45. https://www.scribd.com/document/645401315/Gerbang-Etam-Karyati-2016.

Kayet, N., Pathak, K., Chakrabarty, A., & Sahoo, S. (2018). Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas. International Soil and Water Conservation Research, 6(1), 31-42. https://doi.org/10.1016/j.iswcr.2017.11.002.

Kinnell, P. I. A. (2007). Runoff dependent erosivity and slope length factors suitable for modelling annual erosion using the Universal Soil Loss Equation. Hydrological Processes, 21(20), 2681-2689. https://doi.org/10.1002/hyp.6493.

Luvai, A., Obiero, J., & Omuto, C. (2022). Soil Loss Assessment Using the Revised Universal Soil Loss Equation (RUSLE) Model. Applied and Environmental Soil Science, 2022(1), 2122554. https://doi.org/10.1155/2022/2122554.

Mondal, A., Khare, D., & Kundu, S. (2018). A comparative study of soil erosion modelling by MMF, USLE and RUSLE. Geocarto International, 33(1), 89-103. https://doi.org/10.1080/10106049.2016.1232313.

Naipal, V., Reick, C., Pongratz, J., & Van Oost, K. (2015). Improving the global applicability of the RUSLE model – adjustment of the topographical and rainfall erosivity factors. Geosci. Model Dev., 8(9), 2893-2913. https://doi.org/10.5194/gmd-8-2893-2015.

Nearing, M. A., Yin, S.-q., Borrelli, P., & Polyakov, V. O. (2017). Rainfall erosivity: An historical review. CATENA, 157, 357-362. https://doi.org/10.1016/j.catena.2017.06.004.

Ningsih, S., & Dukalang, H. H. (2019). Penerapan Metode Suksesif Interval pada Analsis Regresi Linier Berganda. 2019, 1(1), 11. https://doi.org/10.34312/jjom.v1i1.1742.

Nugraheni, A., Sobriyah, & Susilowati. (2013). Perbandingan hasil prediksi laju erosi dengan metode USLE, MUSLE, RUSLE di DAS Keduang. Matriks Teknik Sipil, 1(3). https://jurnal.uns.ac.id/matriks/article/view/37537.

Osok, R. M., Talakua, S. M., & Gaspersz, E. J. (2018). Analisis faktor-faktor erosi tanah, dan tingkat bahaya erosi dengan metode Rusle di DAS Wai Batu Merah Kota Ambon Provinsi Maluku. Jurnal Budidaya Pertanian, 14(2), 89-96. https://doi.org/10.30598/jbdp.2018.14.2.89.

Putra, A., Triyatno, Syarief, A., & Hermon, D. (2018). Penilaian erosi berdasarkan metode usle dan arahan konservasi pada das air dingin bagian hulu Kota Padang-Sumatera Barat. Jurnal Geografi, 10(1), 1-13. https://doi.org/10.24114/jg.v10i1.7176.

Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., & Yoder, D. C. (1997). Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). U. S. Department of Agriculture, Agricultural Research Service.

Rohman, M. K. (2018). Pengaruh Perubahan Tata Guna Lahan Terhadap Laju Erosi Menggunakan Metode Universal Soil Loss Equation (USLE) di DAS Bedadung dan DAS Tanggul [Undergraduate Thesis, Department of Agriculture Technique, Faculty of Agriculture, Universitas Jember]. https://repository.unej.ac.id//handle/123456789/96274

Roslee, R., & Sharir, K. (2019). Soil Erosion Analysis using RUSLE Model at the Minitod Area, Penampang, Sabah, Malaysia. Journal of Physics: Conference Series, 1358(1), 012066. https://doi.org/10.1088/1742-6596/1358/1/012066.

Saha, M., Sauda, S. S., Real, H. R. K., & Mahmud, M. (2022). Estimation of annual rate and spatial distribution of soil erosion in the Jamuna basin using RUSLE model: A geospatial approach. Environmental Challenges, 8, 100524. https://doi.org/10.1016/j.envc.2022.100524.

Setiawan, E. B., Indarto, Askin, & Retno Utami, A. (2019). Spatial variability of annual rainfall in East Java Regions: application of histogram and normal QQ-Plot. IOP Conference Series: Earth and Environmental Science, 243(1), 012027. https://doi.org/10.1088/1755-1315/243/1/012027.

Suhara KK, S., Varughese, A., Sunny, A. C., & Krishna PR, A. (2023). Erosivity Factor of the Revised Universal Soil Loss Equation (RUSLE)-A Systematized Review. https://doi.org/10.12944/CWE.18.2.02.

Supriyono, S., Utaya, S., Taryana, D., & Handoyo, B. (2021). Spatial-Temporal Trend Analysis of Rainfall Erosivity and Erosivity Density of Tropical Area in Air Bengkulu Watershed, Indonesia. Quaestiones Geographicae, 40(3), 125-142. https://doi.org/10.2478/quageo-2021-0028.

Taslim, R. K., Mandala, M., & Indarto, I. (2019). Prediksi Erosi di Wilayah Jawa Timur. Jurnal Ilmu Lingkungan, 17(2), 10. https://doi.org/10.14710/jil.17.2.323-332.

Tiwari, A. K., Risse, L. M., & Nearing, M. A. (2000). Evaluation of WEPP and Its Comparison with USLE and RUSLE. Transactions of the ASAE, 43(5), 1129-1135. https://doi.org/10.13031/2013.3005.

Trinugroho, M. W., Arif, S. S., Susanto, S., Nugroho, B. D. A., & Prabowo, A. (2022). Changes in Rainfall Pattern in Bengawan Solo Sub-Watershed. SAINS TANAH - Journal of Soil Science and Agroclimatology, 19(2), 12. https://doi.org/10.20961/stjssa.v19i2.61640.

Vijith, H., & Dodge-Wan, D. (2019). Spatial and statistical trend characteristics of rainfall erosivity (R) in upper catchment of Baram River, Borneo. Environmental Monitoring and Assessment, 191(8), 494. https://doi.org/10.1007/s10661-019-7604-z.

Widodo, A., Komariah, & Suyana, J. (2015). Metode USLE untuk Memprediksi Erosi Tanah dan Nilai Toleransi Erosi Sebuah Sistem Agricultural di Desa Genengan Kecamatan Jumantono Karanganyar. 2015, 17(2), 5. https://doi.org/10.20961/agsjpa.v17i2.18668.

Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. United States Department of Agriculture (USDA), Science and Education Administration.

DOI: https://doi.org/10.20961/stjssa.v21i1.63641

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