DOI: https://doi.org/10.14710/jil.17.2.323-332

Prediksi Erosi di Wilayah Jawa Timur

Univeristy of Jember, Indonesia

Received: 29 Mar 2019; Published: 9 Sep 2019.
Editor(s): Sudarno Utomo

Citation Format:
Abstract
Erosion is an event of eroding soil that occurs naturally.  However, human activities that change land use from natural (forestry, plantation, rural areas) to urban features can alter the erosion processes.  Rapid calculation of erosion level for the wide area is necessary for the management and conservation planning.  This research aims to analyze the erosion level in East Java area using USLE (Universal Soil Loss Equation) and GIS. The erosivity factor (R) is calculated from rainfall data. Vegetation factor (C) and the conservation factor (P) estimated from land use map.  The length and slope factor (LS) are calculated from the ASTER GDEM2, and the erodibility factor (K) is obtained from interpretation of soil map. Furthermore, all factors were analysed to calculate erosion rate. The result shows that the average erosion rate in East Java regions is 10,30 tons/ha/year.  The result also show that 78,71% area of East Java is classified as very low erosion rate (0-15 tons/ha/year); 10,75% classified as low erosion rate (15-60 tons/ha/year); 6,39% classified as  moderate erosion rate (60-180 tons/ha/year); and 2,83% is severe type (180-480 tons/ha/year). Only 1,31% from the total area is classified as very severe erosion rate (>480 tons/ha/year). The result also shows that USLE can be used to facilitate rapid erosion prediction for wide area.
Fulltext View|Download
Keywords: Erosion, usle, GIS, East Java
Funding: Universitas Jember

Article Metrics:

Article Info
Section: Research Article
Language : ID
Recent articles
Penilaian Daur Hidup (Life Cycle Assesment) Produk Kina Di PT Sinkona Indonesia Lestari Metana: Emisi Gas Rumah Kaca dari Ekosistem Karbon Biru, Mangrove Analisis Penyebab Kejadian dan Evaluasi Bencana Tanah Longsor di Desa Banaran, Kecamatan Pulung, Kabupaten Ponorogo, Provinsi Jawa Timur Tanggal 1 April 2017 More recent articles
  1. Arsyad, S. 1989. Konservasi Tanah dan Air. Bogor: IPB Press
  2. Aryanata, R. A. 2016. Prediksi Tingkat Bahaya Erosi Menggunakan Pemodelan Universal Soil Loss equation (USLE) dan ArcGIS di Wilayah Administratif UPT PSDA Kediri. Skripsi. Jember: Universitas Jember
  3. Asdak, C. 2002. Hidrologi dan Pengelolaan Daerah Aliran Sungai. Yogyakarta: Gajah Mada University Press
  4. Ashidiqi, R. 2016. Pemetaan Tingkat Bahaya Erosi Menggunakan Universal soil Loss Equation (USLE) dan ArcGIS di Wilayah Administratif UPT PSDA Malang-Jawa Timur. Skripsi. Jember: Universitas Jember
  5. Ariestanti. T. A. D. 2016. Prediksi Tingkat Bahaya Erosi di Wilaah UPT PSDA Bondowoso Menggunakan USLE (Universal Soil Loss Equation) Integrasi ArcGIS. Skrips. Jember: Universitas Jember
  6. As-Syakur, A. 2008. Prediksi Erosi dengan Menggunakan Metode USLE dan Sistem Informasi Geografis (SIG) Berbasis Piksel di Daerah Tangkapan Air Danau Buyan. PIT Mapin XVII. Bandung
  7. Auliyani, D., dan W.W. Wijaya. 2017. Perbandingan Prediksi Hasil Sedimen Menggunakan Pendekatan Model Universal Soil Loss Equation dengan Penngukuran Langsung. Jurnal Penelitian Pengelolaan Daerah Aliran Sungai. 1(1): 61-71
  8. Baban, S.M.J dan K.W. Yusof. 2009. Modelling soil erosion in tropical environments using remote sensing and geographical information systems. Hydrological Sciences Journal. 46(2): 191-198
  9. Baskan, O., H. Cebel, dan S. Akgul. 2010. Conditional Simulation of USLE/RUSLE Soil Erodibility Factor by Geostatistics in a Mediterranean Catchment Turkey. Enviromental Earth Sciences. 60(6): 1179-1187
  10. Belasri, A., dan Lakhouili, A. 2016. Estimation of Soil Erosion Risk Using the Universal Soil Loss Equation (USLE) and Geo-Information Technology in Oued El Makhazine Watershed, Morocco. Journal of Geographic Information System. 8: 98-107
  11. Bera, I. 2017. Assessment of Soil Loss by Universal Soil Loss Equation (USLE) Model Using GIS Techniques: a Case Study of Gumti River Basin, Tripura, India. Modeling Earth Systems and Environment. 2017. 3:29(1-9)
  12. Dabral, P. P.; Baithuri, N.; Pandey, A. (2008). Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing. Water Resources Management, 22:1783–1798
  13. Devatha, C.P., V. Deshpande, dan M.S. Renukaprasad. 2015. Estimation of Soil Loss Using USLE Model for Kulhan Watershed Chatitisgarh. Aquatic Procedia. 4:1429-1436
  14. Edriani, A. F, Amri, K., dan Barchia, M. F. 2014. Analisis Tingkat Erosi dan Kekritisan Lahan Menggunakan Sistem Informasi Geografis di Sub DAS Bengkulu Hilir DAS Air Bengkulu. Tesis. Bengkulu: Universitas Bengkulu
  15. Fahliza, U., Anugerah, P., dan Dwi, D. 2013. Analisis Erosi pada SubDAS Lematang Hulu. Jurnal Teknik Sipil dan Lingkungan. 1(1), pp 32-39
  16. Farhan Y dan Nawaiseh S. 2015. Spatial Assesment of Soil Erosion Risk Using RUSLE and GIS Techniques. Environmental Earth Sciences. 74:4649-4669
  17. Filahmi, F.B. 2016. Analisis Spasial Pemodelan Universal Soil Loss Equation (USLE) di Wilayah UPT PSDA Madiun (Studi Kasus DAS Madiun-Ngawi). Skripsi. Jember: Universitas Jember
  18. Gashaw, T., Tulu, T. and Argaw, M. 2017. Erosion risk assessment for prioritization of conservation measures in Geleda watershed, Blue Nile basin, Ethiopia. Environmental Systems Research. 6(1):1-14
  19. Godone, D., dan Stanchi, S. 2011. Soil Erosin Issues in Agriculture. New York: Intech Publishers
  20. Gilley, J. E. 2005. Erosion water-induced. Encyclopedia of Soils in the Environment. 463-469
  21. Hariyadi. 2016. Perkiraan Tingkat Bahaya Erosi Menggunakan Universal Soil Loss Equation (USLE) dan GIS di Wilayah UPT PSDA Lumajang. Skripsi. Jember: Universitas Jember
  22. Hendrawan, H. 2004. Aplikasi Sistem Informasi Geografi (SIG) untuk Pendugaan Erosi dengan Pendekatan USLE (Universal Soil Loss Equation) di Sub-DAS Cimuntur Ciamis. Skripsi. Bogor: Jurusan Teknologi Pertanian, IPB
  23. Indarto, 2013a. Analisis Geostatistik. Yogyakarta: Graha Ilmu
  24. Indarto, 2013b. Variabilitas Spasial Hujan Harian di Jawa Timur. Jurnal Teknik Sipil. 20(2):107-120
  25. Ismaniar, R. A. 2012. Pendugaan Neraca Air menggunakan Aplikasi Tank Model dan Laju Sedimen dengan Metode MUSLE di Sub DAS Melamon Kabupaten Malang. Digital Times
  26. Jazouli, A., Ahmed, M., dan Barakat, A. 2017. Soil erosion modeled with USLE , GIS , and remote sensing : a case study of Ikkour watershed in Middle Atlas ( Morocco )’, Geoscience Letters. 4-25
  27. Julien, P. Y. 2010. Erosion and Sedimentation. 2nd edition. Cambridge: Cambridge University Press
  28. Kabantu, M. T., Thimanga, R. M., Kileshye, J. M. O., Gumindoga, W., dan Beya, J. T. 2018. A GIS-based estimation of soil erosion parameters for soil loss potential and erosion hazard in the city of Kinshasa, the Democratic Republic of Congo. Copernicus Publications on Behalf of the International Association of Hydrological Sciences. 378:51–57
  29. Kartika, I. 2012. Aplikasi Pemodelan USLE (Universal Soil Loss Equation) untuk Pemetaan Tingkat Bahaya Erosi di Sub-DAS Kloposawit dan Rawatantu. Skripsi Jember: Universitas Jember
  30. Mihara, M., N. Yamamoto, dan T. Ueno. 2005. Application of USLE for the Prediction of Nutrient Losses in Soil Erosion Processes. Paddy and Water Environment. 3(2): 111-119
  31. Munandar, R., Jayanti, D. S., dan Mustafril. 2016. Pemodelan Intersepsi Untuk Pendugaan Aliran Permukaan. Jurnal Ilmiah Teknologi Pertanian Agrotechno. 1(1):62-69
  32. Nearing, M. A. 1994. Detachment of Soil by Flowing Water Under Turbulent and Laminar Conditions. Soil Science Society of America Journal
  33. Novotny, I., Zizala, D., dan Kapicka, J. 2016. Monitoring Soil Erosion of Agricultureal Land in Czech Republic and Data Assesment of Erosion Events from Spatial Database. Proceedings from Inernational Conference Soil. 34-370
  34. Olsen, P., dan R. Kristensen. 1998. Using a GIS System in Mapping Risks of Nitrate Leaching and Erosion on the Basis of Soil-N and USLE Simulations. Nutrient Cycling in Agroecosystems. 5:307-311
  35. Parveen, R. and Kumar, U. 2012. Integrated Approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Loss Risk Assessment in Upper South Koel Basin, Jharkhand, Journal od Geographic Information System. 4(6):588-596
  36. Pasztor, L., Negyesi, G., Laborczi, A., Kovacs, T., Laszlo, E., dan Bihari, Z. 2016. Integrated Spatial Assesment of Wind Erosion Risk in Hungary. Hazards Earth System Science. 16(11):2421-2432
  37. Pradhan, B., Jagarlapudi, A. and Buchroithner, M. 2011. Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS : a case study at Penang Island , Malaysia. Environmental Monitoring and Assessment. 184(2):715-727
  38. Prayitno, J.S. Tasirin, M.Y.M.A. Sumakud, dan J.A. Rombang. 2015. Pemanfaatam Sistem Informasi Geografis (SIG) Dalam Pengklasifikasian Bahaya Erosi Pada DAS Talawaan. Jurnal Ilmiah Fakultas Pertanian Universitas Sam Ratulangi. 6(11):1-8
  39. Rao, E., Xiao, Y., Ouyang, Z. Yu, X. 2015. National Assessment of Soil Erosion and Its Spatial Patterns in China. Ecosystem Health and Sustainabillity. 1(4):1-10
  40. Renard, K.G., G.R. Foster, G.A. Weesies, dan J.P. Porter. 1991. RUSLE (Revised Universal Soil Loss Equation). Journal Soil and Water Conservation. 46(1): 30-33
  41. Saiya, H. G., Dibyosaputro, S. dan Santosa, S. H. B. 2016. USLE Estimation for Potential Erosion at Wae Heu Watershed and Wae Tonahitu Watershed, Ambon Island, Indonesia, Indonesian Journal of Geography, 48(2):191–205
  42. Sheikh, A., Palria, S., Alam, A. 2011. Integration of GIS and Universal Soil Loss Equation (USLE) For Soil Loss Estimation in a Himalayan Watershed. Geography and Geology. 3(3):51-57
  43. Silva, A. M., Alcarde, C. and Hitomi, C. 2011. Natural Potential for Erosion for Brazilian Territory. Soil Erosion Studies. 1-24
  44. Smith. 1999. Application of Empirical Soil Loss Models in Southern Africa: a review. South African Journal of Plant and Soil. 16(3): 158-163
  45. Terranova, O., Antronico, L., Coscarelli, R., Ianquita, P. 2009. Soil Erosion Risk Scenarios in the Mediterranean Environment Using RUSLE and GIS: An Application Model for Calabria (Southern Italy). Geomorphology. 112:228-245
  46. Teh, S. H. (2011). Soil Erosion Modeling Using RUSLE and GIS on Cameron Highlands, Malaysia For Hydropower Development. University of Iceland dan University of Akureyri. http://hdl.handle.net/1946/7751
  47. Utomo, W.H. 1994. Erosi dan Konservasi Tanah. Malang: IKIP Malang
  48. Widianto, A dan Damen, M. 2014. Determination of Coastal Belt in the Disaster Prone Area: A Case Study in the Coastal Area of Bantul Regency, Yogyakarta, Indonesia. Indonesian Journal of Geography. 46(2):125-137
  49. Wischmeier, W.H dan D. D. Smith. 1978. Predicting Rainfall Erosion Losses A Guide to Conservation Planning. Washington DC: Goovernment Printing Office
  50. Yue-Qing, X., Xiao-Mei, S., Xiang-Bin, K., Jian, P., Yun-Long, C. 2008. Adapting the RUSLE and GIS to Model Soil Erosion Risk in a Mountains Karst Watershed, Guizhou Province, China. Environment Monitoring Assessment. 141:275–286
  51. Zare, M., Panagopoulos, T., dan Loures, L. 2017. Simulating the Impacts of Future Land Use Change on Soil Erosion in the Kasilian Watershed, Iran, Elsevier. 67:558–572
  52. Životić, L., Perovic, V., Jaramaz, D., dan Djordevic. 2012. Application of USLE, GIS, and Remote Sensing in the Assessment of Soil Erosion Rates in Southeastern Serbia, Polish Journal of Environmental Studies, 21(6):. 1929–1935

Last update:

No citation recorded.

Last update:

No citation recorded.