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Soil erosion rate and hazard level at the Sianjo-anjo Reservoir watershed in Indonesia

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Sianjo-anjo reservoir is used to meet the need for downstream clean water. Land activity at the Sianjo-anjo reservoir watershed can potentially increase the rate of erosion and the silting of rivers and reservoirs due to sedimentation. Reservoir siltation is a crucial challenge for reservoir management because it can reduce its function and affect its service life. However, sediment yield is often overlooked in reservoir planning and environmental assessment. This study aims to predict the rate of land erosion and sediment yield, and create an erosion hazard map of the Sianjo-anjo reservoir watershed. The study used a Geographic Information System, GIS-based Universal Soil Loss Equation (USLE) method and discovered that the erosion rate of the Sianjo-anjo reservoir watershed was between 35.23 Mg∙ha-1∙y-1 until 455.08 Mg∙ha-1∙y-1, with 95.85% classified as the low level, 0.03% as moderate, and 4.12% as high. Meanwhile, the sediment yield from the Sianjo-anjo reservoir watershed was 218,812.802 Mg∙y-1. USLE is vital to identify areas susceptible to erosion and crucial for reservoir sustainability. Furthermore, it is necessary to plan good sediment management. Long-term land conservation is required to maintain storage capacity and ensure effective operation of the reservoir.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
181--187
Opis fizyczny
Bibliogr. 40 poz., rys., tab.
Twórcy
autor
  • Universitas Syiah Kuala, Engineering Faculty, Civil Engineering Department, Syech Abdur-Rauf No. 7 Darussalam, 23111, Banda Aceh, Indonesia
  • Universitas Syiah Kuala, Engineering Faculty, Civil Engineering Department, Syech Abdur-Rauf No. 7 Darussalam, 23111, Banda Aceh, Indonesia
  • Universitas Syiah Kuala, Engineering Faculty, Electrical Engineering Department, Banda Aceh, Indonesia
  • Universitas Syiah Kuala, Faculty of Education and Teacher Training, Biology Department, Banda Aceh, Indonesia
Bibliografia
  • Alalwanya, A.A.M. et al. (2021) “Use of Revised Universal Soil Loss Equation (RUSLE) model to estimate soil erosion in Jibab Wadi Basin West of Iraq,” IOP Conference Series: Earth and Environmental Science, 904(1), 012004. Available at: https://doi.org/10.1088/1755-1315/904/1/012004.
  • Alexakis, D.D., Hadjimitsis, D.G. and Agapiou, A. (2013) “Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus,” Atmospheric Research, 131, pp. 108–124. Available at: https://doi.org/10.1016/j.atmosres.2013.02.013.
  • Andriyani, I., Wahyuningsih, S. and Suryaningtias, S. (2019) “Perubahan tata guna lahan di Sub DAS Rembangan – Jember dan dampaknya terhadap laju erosi [Land use changes in the Rembangan Sub Watershed – Jember and the impact on erosion rates],” AgriTECH, 39(2), pp. 117–127. Available at: https://doi.org/10.22146/agritech.42424.
  • Arifandi, F. and Ikhsan, C. (2019) “Pengaruh sedimen terhadap umur layanan pada tampungan mati (dead storage) Waduk Krisak di Wonogori dengan metode USLE (Universal Soil Losses Equation) [The effect of sediment on the service life of the Krisak Reservoir dead storage in Wonogori using the USLE method],” e-Jurnal Matriks Teknik Sipil, 7(4), pp. 430–439. Available at: https://doi.org/10.20961/mateksi.v7i4.38482.
  • Arham, A., Lopa, R.T. and Bakri, B. (2020) “Pengaruh hubungan intensitas curah hujan dan kemiringan lahan terhadap laju erosi [The effect of rainfall intensity and land slope relationship on erosion rate],” Hasanuddin University Repository. Available at: https://core.ac.uk/download/132584569.pdf (Accessed July 10, 2022).
  • Azmeri, A. (2020) Erosi, sedimentasi, dan pengelolaannya [Erosion, sedimentation, and the management]. Banda Aceh: Syiah Kuala Universitas Press.
  • Azmeri, A. et al. (2017) “Completion of potential conflicts of interest through optimization of Rukoh Reservoir operation in Pidie District, Aceh Province, Indonesia,” AIP Conference Proceedings, 1903, 100001. Available at: https://doi.org/10.1063/1.5011611.
  • Azmeri, A. et al. (2022) “Surface erosion hazard and sediment yield for Keuliling Reservoir in Indonesia,” Journal of Water and Land Development, 52, pp. 108–118. Available at: https://doi.org/10.24425/jwld.2022.140380.
  • Azmeri, A., Legowo, S. and Rezkyna, N. (2020) “Interphase modeling of soil erosion hazard using a Geographic Information System and the Universal Soil Loss Equation,” Journal of Chinese Soil and Water Conservation, 51(2), pp. 65–75. Available at: https://doi.org/10.29417/JCSWC.202006_51(2).0003
  • Bashir, S. et al. (2017) Soil and water conservation. Chapter 12. Faisalabad, Pakistan: Institute of Soil and Environmental Sciences, University of Agriculture, pp. 263–284. Available at: https://www.researchgate.net/publication/320729156_Soil_and_Water_Conservation (Accessed: July 10, 2022).
  • Benzer, N. (2010) “Using the geographical information system and remote sensing techniques for soil erosion assessment,” Polish Journal of Environmental Study, 19(5), pp. 881–886.
  • Biswas, S. (2012) “Estimation of soil erosion using remote sensing and GIS and prioritization of catchments,” International Journal of Emerging Technology and Advanced Engineering, 2(7), pp. 124–128.
  • Chatterjee, S., Krishna, A.P. and Sharma, A.P. (2014) “Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnarekha river basin, Jharkhand, India,” Environmental Earth Sciences, 71(1), pp. 357–374. Available at: https://doi.org/10.1007/s12665-013-2439-3.
  • Dabral, P.P., Baithuri, N. and Pandey, A. (2008) “Soil erosion assessment in a hilly catchment of North eastern India using USLE, GIS and remote sensing,” Water Resources Management, 22(12) pp. 1783–1798. Available at: https://doi.org/10.1007/s11269-008-9253-9.
  • Huda, A., Arief, L. and Nurhadi, B. (2020) “Analisis perubahan laju erosi periode tahun 2013 dan tahun 2018 berbasis data pengindraan jauh dan sistem informasi geografis (Studi kasus: DAS Garang) [Analysis of changes in erosion rates for the year 2013 and 2018 based on remote sensing data and geographic information systems (Case study: Garang watershed)],” Jurnal Geodesi Undip, 9(1), pp. 106–114.
  • Kamuju, N. (2016) “Soil erosion and sediment yield analysis using prototype & enhanced SATEEC GIS system models,” International Journal of Advanced Remote Sensing and GIS, 5(1), pp. 1471–1482. Available at: https://doi.org/10.23953/cloud.ijarsg.39.
  • Kourgialas, N.N. et al. (2016) “Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: The effect of climate change,” Natural Hazards, 83(1), pp. 65–81. Available at: https://doi.org/10.1007/s11069-016-2354-5.
  • Lal, R. (2001) “Soil degradation by erosion,” Land Degradation and Development, 12(6), pp. 519–539. Available at: https://doi.org/10.1002/ldr.472.
  • Legowo, S., Hadihardaja, I.K. and Azmeri, A. (2009) “Estimation of bank erosion due to reservoir operation in cascade (Case study: Citarum cascade reservoir),” Journal of Engineering Science, 41(2), pp. 148–166. Available at: https://doi.org/10.5614/itbj.eng.sci.2009.41.2.5.
  • Lim, J.K. et al. (2005) “GIS based sediment assessment tool,” Catena, 64, pp. 61–80. Available at: https://doi.org/10.1016/J.CATE-NA.2005.06.013.
  • Merritt, W.S., Letcher, R.A. and Jakeman, A.J. (2003) “A review of erosion and sediment transport models,” Environmental Modelling and Software, 18, pp. 761–799. Available at: https://doi.org/10.1016/S1364-8152(03) 00078-1.
  • Meusburger, K., Bänninger, D. and Alewell, C. (2010) “Estimating vegetation parameter for soil erosion assessment in an alpine catchment by means of QuickBird imagery,” International Journal of Applied Earth Observation and Geoinformation, 12, pp. 201–207. Available at: https://doi.org/10.1016/j.jag.2010.02.009.
  • Mulu, A. and Dwarakish, G.S (2015) “Different approach for using trap efficiency for estimation of reservoir sedimentation. An overview,” Aquatic Procedia, 4, pp. 847–852. Available at: https://doi.org/10.1016/j.aqpro.2015.02.106.
  • Namr, K.I. and Mrabet, R. 2004. “Influence of agricultural management on chemical quality of a clay soil of semi-arid Morocco,” Journal of African Earth Sciences, 39, pp. 485–489. Available at: https://doi.org/10.1016/j.jafrearsci.2004.07.016.
  • Notohadiprawiro, T. (1986) “Ultisol, fakta dan implikasi pertaniannya [Ultisols, facts and agricultural implications],” Bulletin Pusat Penelitian Marihat, 6, pp. 1–13.
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  • Pandey, A., Chowdary, V.M. and Mal, B.C. (2007) “Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing,” Water Resources Management, 21(4), pp. 729–746. Available at: https://doi.org/10.1007/s11269-006-9061-z.
  • Peraturan (2013) Peraturan Direktur Jenderal Bina Pengelolaan Daerah Aliran Sungai dan Perhutanan Sosial nomor: P. 3/V-SET/2013 tentang pedoman identifikasi karakteristik daerah aliran sungai [The Regulation of the Director-General of Watershed Management and Social Forestry of the Republic of Indonesia number P. 3/V-SET/2013 regarding guidelines for identifying watershed characteristics]. Available at: https://www.coursehero.com/file/44617251/P3-V-SET-2013-PEDOMAN-IDENTIFIKASI-KARAKTERISTIK-DAERAH-ALIRAN-SUNGAIpdf/ (Accessed: February 15, 2020).
  • Perović, V. et al. (2013) “Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia,” Environmental Earth Sciences, 68, pp. 115–128. Available at: https://doi.org/10.1007/ s12665-012-1720-1.
  • Prasetyo, B.H. and Suriadikarta, D.A. (2006) “Karakteristik, potensi, dan teknologi pengelolaan tanah Ultisol untuk pengembangan pertanian lahan kering di Indonesia [Characteristics, potential, and technology of Ultisols soil management for the development of aridland agriculture in Indonesia],” Jurnal Litbang Pertanian, 25(2), pp. 39–47.
  • Rahman, M.R., Shi, Z.H. and Chongfa, C. (2009) “Soil erosion hazard evaluation – An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies,” Ecological Modelling, 220(13–14), pp. 1724–1734. Available at: https://doi.org/10.1016/j.ecolmodel.2009.04.004.
  • Sheikh, A.H., Palria S. and Alam, A. (2011) “Integration of GIS and Universal Soil Loss Equation (USLE) for soil loss estimation in a Himalayan watershed,” Recent Research in Science and Technology, 3(3), pp. 51–57.
  • Shi, W. et al. (2022) “ An improved MUSLE model incorporating the estimated runoff and peak discharge predicted sediment yield at the watershed scale on the Chinese Loess Plateau,” Journal of Hydrology, 614, part B, pp. 1–11. Available at: https://doi.org/10.1016/j.jhydrol.2022.128598.
  • Tatipata, W.H. et al. (2015) “Analisis volume sedimen yang sengendap setelah T-tahun waduk beroperasi (Studi kasus: Waduk Cirata) [Analysis of settle sediment volumes after T-year reservoirs in operation (Case study: Cirata Reservoir)],” Journal of Civil Engineering Theoretical and Applied Journal of Civil Engineering, 22(3), pp. 235–242. Available at: https://doi.org/10.5614/jts.2015.22.3.7.
  • Thomas J., Joseph, S. and Thrivikramji, K.P. (2018) “Estimation of soil erosion in a rain shadow river basin in the southern Western Ghats, India using RUSLE and transport limited sediment delivery function. International Soil and Water Conservation Research, 6(2), pp. 111–122. Available at: https://doi.org/10.1016/j.iswcr.2017.12.001.
  • Wibowo, K.M., Kanedi, I. and Jumadi, J. (2015) “Sistem Informasi Geografis (SIG) Menentukan Lokasi Pertambangan Batu Bara di Provinsi Bengkulu Berbasis Website [Geographic Information System (GIS) determines coal mining locations in Bengkulu province based on a website],” Jurnal Media Infotama, 11(1), pp. 51–60. Available at: https://doi.org/10.37676/jmi.v11i1.252.
  • Wischmeier, W.H. and Smith, D.D. (1978) “Predicting rainfall erosion losses – A guide to conservation planning,” Agriculture Handbook, 537. Washington, DC, USA. US Department of Agriculture Science and Education Administration.
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  • Zarfl, C. and Lucia, A. (2018) “The connectivity between soil erosion and sediment entrapment in reservoirs,” Current Opinion in Environmental Science & Health, 5, pp. 53–59. Available at: https://dx.doi.org/10.1016/j.coesh.2018.05.001.
  • Zhang, K. et al. (2008) “Soil erodibility and its estimation for agricultural soils in China,” Journal of Arid Environments, 72, pp. 1002–1011. Available at: https://doi.org/10.1016/j.jaridenv.2007.11.018.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-edc642bd-ac7f-4766-b26e-8700f8811aa7
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