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Abstract

[PREDICTING SOIL EROSION AND EROSION HAZARD LEVEL IN VARIOUS LAND-USES IN THE AREA OF PUJON SUB-DISTRICT USING THE UNIVERSAL SOIL LOSS EQUATION (USLE) MODEL] The area of Pujon Sub-District is vulnerable for soil erosion due to hilly tropography. Therefore, the study aimed to predict the rate of erosion and erosion hazard level in various land uses in the Pujon district. Soil erosion was predicted by using data on soil sample at depths of 0-30 cm and 30-60 cm in each land-use/cover with three repetitions. Soil sampling was done by using purposive sampling method. the collected data were analysed using software ArcGIS. Results show that the predicted average soil erosion with a very light erosion severity was 0,02 - 3,39 ton/ha/year occurring in land-uses/covers of H1, H2, H3, H4 and K2. Whereas, the predicted soil erosion levels for the medium and heavy soil erosion severity were 0,95 - 15,48 ton/ha/year and 15,48 - 28,17 ton/ha/year occurring in the land-use units of T1, T2, and K4 and in the land-use units of T3 and T4, respectively. Thus, the erosion hazard levels in the Area of Pujon Sub-District are dominated by light and moderate erosion categories

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How to Cite
Siswanto, S., Wijaya, K., & Afifuddin, M. A. (2023). PREDIKSI TINGKAT DAN BAHAYA EROSI TANAH PADA BERBAGAI PENGGUNAAN LAHAN DI WILAYAH KECAMATAN PUJON DENGAN METODE UNIVERSAL SOIL LOSS EQUATION. Jurnal Ilmu-Ilmu Pertanian Indonesia, 25(2), 82–90. https://doi.org/10.31186/jipi.25.2.82-90

References

  1. Arsyad S. (2010). Konservasi Tanah dan Air. Bogor, IPB Press., Bogor.
  2. Blanco-Canqui, H. & Lal, R. (2008). Principles of soil conservation and management. Springer. Netherlands.
  3. Cuomo, S. & Della Sala, M. (2015). Large-area analysis of soil erosion and landslides induced by rainfall: A case of unsaturated shallow deposits. Journal of Mountain Science, 12(4), 783–796.
  4. FAO & ITPS. (2015). Status of the world’s soil resources (SWSR) – Main Report. Rome, Italy: Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils, 608.
  5. Hammer, W. I. (1981). Soil Conservation Consultant Report Center for Soil Research. LPT Bogor. Indonesia.
  6. Haregeweyn, N., Tsunekawa, A., Poesen, J., Tsubo, M., Meshesha, D.T., Fenta, A.A., Nyssen, J., Adgo, E. (2017). Comprehensive assessment of soil erosion risk for better land use planning in river basins: Case study of the Upper Blue Nile River. Sci Total Environ. 1;574:95-108. DOI: https://10.1016/j.scitotenv.2016.09.019.
  7. Lenvain, J. (1975). Kritiche Studie van de universale erosi vergelijking en haar bruik baar heid als evaluatiemeddel van de bodemkonditionerings techniek in the vochtige tropen. Thesis, Agricultural Faculty, Universite Belgium.
  8. Martínez, S. & Mollicone, D. (2012). From land cover to land use: A Methodology to assess land use from remote sensing data. J. Remote Sensing, 4(4), 1024-1045. DOI:https://10.3390/rs4041024.
  9. Montanarella, L., Pennock, D. J., McKenzie, N., Badraoui, M., Chude, V., Baptista, I., Henriquez, C. R., de Lourdes Mendonca-Santos, M., Taboada, M., Espinosa-Victoria, D., AlShankiti, A., AlaviPanah, S. K., Elsheikh, E. A. E. M., Hempel, J. C., Arbestain, M., Nachtergaele, F. & Vargas, R. World’s soils are under threat. Soil, 2(1), 79–82. http://dx.doi.org/10.5194/soil-2-79.
  10. Muttaqin, T. (2015). Evaluasi kekritisan lahan di Kawasan Lindung Kecamatan Pujon Kabupaten Malang Jawa Timur dengan Teknologi Sistem Informasi Geografis. Jurnal Gamma, 10(1). https://ejournal.umm.ac.id/index.php/gamma/article/view/2494.
  11. Panagos, P., Borrelli, P., Meusburger, K., van der Zanden, E. H., Poesen, J. & Allewel, C. (2015). Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale. Environmental Science and Policy, 51, 23–34. DOI:https://10.1016/ j.envsci.2015.03.012.
  12. Quinton, J. (2013). Erosion and sediment transport. In J. Wainwright, & M. Mulligan (Eds.), Environmental Modelling: Finding Simplicity in Complexity, 187–196. John Wiley & Sons, Ltd. London.
  13. 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). Agriculture Handbook, No. 703. Washington DC: USDA.
  14. Risse, L. M., Nearing, M. A., Laflen, J. M. & Nicks, A. D. (1993). Error assessment in the universal soil loss equation. Soil Science Society of America Journal, 57(3), 826-833. DOI:https://10.2136/sssaj1993.03615995005700030032x.
  15. Romdhon, A.A., Utomo, K.D., Suharyanto, S. & Nugroho, H. (2014). Perencanaan konservasi Sub DAS Cimuntur Kabupaten Ciamis. Jurnal Karya Teknik Sipil, 3(1), 105-118. https://ejournal3.undip.ac.id/index.php/jkts/article/view/4589.
  16. Rusdi., Alibasyah, M.R. & Karim, A. (2013). Degradasi lahan akibat erosi pada areal pertanian di Kecamatan Lembah Seulawah Kabupaten Aceh Besar. J. Manajemen Sumberdaya Lahan., 2(3), 240–249. https://jurnal.usk.ac.id/MSDL/article/view/2195.
  17. Schwab, G.O., Frevert, R.K., Edminster, T.W. & Barner, K. K. (1981). Soil and Water Conservation Engineering. John Wiley, New York.
  18. Siringoringo, N.Y., Gusmara, H., Prawito, P., Prasetyo & Utami, K. (2023). Effect of slope and distance from oil palm stands on soil water content. TERRA : Journal of Land Restoration, 6(1), 40-45. DOI: https://doi.org/10.31186/terra.6.1.40-45.
  19. Surbakti, BR., C.M. (2009). Kajian tingkat bahaya erosi (TBE) pada penggunaan lahan hortikultura di Sub DAS Lau Biang (Kawasan Hulu DAS Wampu). Skripsi, Fakultas Pertanian, Universitas Sumatera Utara, Medan.
  20. Suryawanshi V. & Chandramohan, T (2016). Application of GIS in hydrology and estimation of soil erosion using USLE model. International Journal of Science and Research., 483-488. DOI: https://10.21275/ART20182128.
  21. Wischmeier, W. H. & Smith, D. D. (1978). Predicting Rainfall-Erosion Losses : A Guide To Conservation Planning. USDA Agriculture Handbook, No.537, Maryland.