INTEGRASI SIG DENGAN USLE DALAM PENILAIAN EROSI DI DAS WAIRUTUNG

Mohammad Lasaiba; Ferdinand S. Leuwol; Wiclift S. Pinoa; Irvan Lasaiba; Roberth B. Riry; Syawal Sandia

doi:10.21776/ub.jtsl.2023.010.2.2

Authors

Mohammad Lasaiba Program Studi Pendidikan Geografi FKIP Universitas Pattimura
Ferdinand S. Leuwol Program Studi Pendidikan Geografi FKIP Universitas Pattimura
Wiclift S. Pinoa Program Studi Pendidikan Geografi FKIP Universitas Pattimura
Irvan Lasaiba Jurusan Biologi Fakultas FITK IAIN
Roberth B. Riry Program Studi Pendidikan Geografi FKIP Universitas Pattimura
Syawal Sandia Program Studi Pendidikan Geografi FKIP Universitas Pattimura

DOI:

https://doi.org/10.21776/ub.jtsl.2023.010.2.2

Keywords:

erosion, vulnerability, USLE

Abstract

This study aimed to assess the erosion hazard level in the Wairutung Watershed. The land unit in this study was generated from the overlaying land use maps, slope maps, and soil types maps. The class of vulnerability was determined based on the sum of the parameters' rating results using a computer-based Geographic Information System (GIS) with the ArcGIS program, which was integrated with the Universal Soil Loss Equation (USLE) model. The results indicated the division of 4 classes of landslide hazards consisting of a very light class with an area of 2,900.865 ha spread over land units with alluvial soil types. The medium type, with a total area of 3,683.285 ha, is spread over land units with podzolic soil types. Heavy type with a total area of 1,458.367 ha and the whole area is spread over land units with podzolic and Litosol soil types. The erosion hazard level is very heavy, with a total area of 421.97 ha and is spread over land units with Podzolic and Litosol soil types.

References

Andriyani, I., Wahyuningsih, S. dan Suryaningtias, S. 2019. Perubahan tata guna lahan di Sub DAS Rembangan - Jember dan dampaknya terhadap laju erosi. AgriTECH 39(2):117, doi:10.22146/agritech.42424.

Arsyad, S. 2010. Konservasi tanah dan air. IPB Inpres edisi kedua.

Asdak, C. 2010. Hidrologi dan Pengelolaan Daerah Aliran Sungai. UGM Press. Yogyakarta

Benavidez, R., Jackson, B., Maxwell, D. and Norton, K. 2018. A review of the (revised) Universal Soil Loss Equation ((R)USLE): with a view to increasing its global applicability and improving soil loss estimates. Hydrology and Earth Systemc Sciences 22:6059-6086, doi:10.5194/hess-22-6059-2018.

Bols, P.L. 1978. The iso-erodent map of Java and Madura. Belgian Technical Assistance Project ATA 105. Soil Research Institute, Bogor.

da Silva, A.M., Alcarde, C. and Hitomi, C. 2011. Natural Potential for Erosion for Brazilian Territory. Soil Erosion Studies, November 2011, doi:10.5772/23163.

Danasekara, A. 2022. Effects of Land Use Patterns on Soil Erosion ; A Case Study in Rural Areas of Sri Lanka Abstract : April.

Devatha, C.P., Deshpande, V. and Renukaprasad, M.S. 2015. Estimation of soil loss using USLE model for Kulhan Watershed, Chattisgarh-a case study. Aquatic Procedia 4(Icwrcoe):1429-1436, doi:10.1016/ j.aqpro.2015.02.185.

Dewi, I.G.A.S.U., Trigunasih, N.M. dan Kusmawati, T. 2012. Prediksi erosi dan perencanaan konservasi tanah dan air pada Daerah Aliran Sungai Saba. E-Jurnal Agroekoteknologi Tropika 1(1):12-23.

Dinh, T.V., Nguyen, H., Tran, X.L. and Hoang, N.D. 202). Predicting rainfall-induced soil erosion based on a hybridization of adaptive differential evolution and support vector machine classification. Mathematical Problems in Engineering 2021, doi:10.1155/2021/6647829.

Djoukbala, O., Hasbaia, M., Benselama, O. and 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 Environmen, 5(2):725-743, doi:10.1007/s40808-018-0562-6.

Efthimiou, N., Lykoudi, E. and Karavitis, C. 2017. Comparative analysis of sediment yield estimations using different empirical soil erosion models. Hydrological Sciences Journal 62(16):2674-2694, doi:10.1080/02626667.2017.1404068.

Eisenberg, J. and Muvundja, F.A. 2020. Quantification of erosion in selected catchment areas of the Ruzizi River (DRC) using the (R)USLE model. Land 9(4), doi:10.3390/LAND9040125.

El Jazouli, A., Barakat, A., Ghafiri, A., El Moutaki, S., Ettaqy, A. and Khellouk, R. 2017. Soil erosion modeled with USLE, GIS, and remote sensing: a case study of Ikkour watershed in Middle Atlas (Morocco). Geoscience Letters 4(1), doi:10.1186/s40562-017-0091-6.

FAO. 2015. Status of the World’s Soil Resources Main report. Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils, Rome, Italy.

Fiener, P., Dostál, T., Krása, J., Schmaltz, E., Strauss, P. and Wilken, F. 2020. Operational USLE-based modelling of soil erosion in Czech Republic, Austria, and Bavaria-Differences in model adaptation, parametrization, and data availability. Applied Sciences (Switzerland) 10(10), doi:10.3390/app10103647.

García, L., Veneros, J., Pucha-Cofrep, F., Chávez, S., Bustamante, D.E., Calderón, M.S., Morales, E. and Oliva, M. 2021. Geospatial analysis of soil erosion including precipitation scenarios in a conservation area of the Amazon Region in Peru. Applied and Environmental Soil Science 2021:1-21, doi:10.1155/2021/5753942.

Hardjowigeno, S. 2003. Ilmu tanah Ultisol. Edisi Baru. Akademika Pressindo, Jakarta.

Hariati, F., Taqwa, F.M.L., Alimuddin, Salman, N. dan Sulaeman, N.H.F. 2022. Simulasi perubahan tata guna lahan terhadap laju erosi lahan menggunakan metode Universal Soil Loss Equation ( USLE ) pada Daerah Aliran Sungai (DAS) Ciseel. Journal of Civil Engineering 11(01):52-61, doi:10.37598/ tameh.v11i1.185.

Hermon, D. 2012. Mitigasi Bencana Hidrometeorologi: Banjir, Lonsor, Ekologi, Degradasi Lahan, Puting Beliung, Kekeringan. UNP Press.

Keesstra, S.D., Bouma, J., Wallinga, J., Tittonell, P., Smith, P., Cerdà, A., Montanarella, L., Quinton, J.N., Pachepsky, Y., Van Der Putten, W.H., Bardgett, R.D., Moolenaar, S., Mol, G., Jansen, B. and Fresco, L.O. 2016. The significance of soils and soil science towards realization of the United Nations sustainable development goals. Soil 2(2):111-128, doi:10.5194/soil-2-111-2016.

Kumarasinghe, U. 2021. A review on new technologies in soil erosion management. Journal of Research Technology and Engineering 2(1):120-127.

Labrière, N., Locatelli, B., Laumonier, Y., Freycon, V. and Bernoux, M. 2015. Soil erosion in the humid tropics: A systematic quantitative review. Agriculture, Ecosystems and Environment 203:127-139, doi:10.1016/j.agee.2015.01.027.

Luliro, N.D., Tenywa, J.S. dan Majaliwa, J.G.M. 2013. Adaptation of RUSLE to model erosion risk in a watershed with terrain heterogeneity. International Journal of Advanced Earth Science and Engineering 2(1):93-107, Article ID Sci-140.

Maizuar. 2010. Integrated use of ARCGIS and USLE for predicting soil degradation in HU Tzu Shan slope Taiwan. Dinamika Teknik Sipil 10(3):257-262.

Martono, M. 2004. Pengaruh Intensitas Hujan dan Kemiringan Lereng Terhadap Laju Kehilangan Tanah Pada Tanah Regosol Kelabu. Program Pascasarjana Universitas Diponegoro.

Morgan, R.P.C. and Rickson, R.J. 2005. Slope stabilization and erosion control: a bioengineering approach. Published by E & FN Spon, an imprint of Chapman & Hall, 2-6 Boundary Row, London SE1 8HN, UK.

Nasir Ahmad, N.S.B., Mustafa, F.B., Muhammad Yusoff, S.Y. and Didams, G. 2020. A systematic review of soil erosion control practices on the agricultural land in Asia. International Soil and Water Conservation Research 8(2):103-115, doi:10.1016/j.iswcr.2020.04.001.

Paimin, S. dan Pramono, I.B. 2009. Teknik mitigasi banjir dan tanah longsor. Balikpapan: Tropenbos International Indonesia Programme.

Pham, T.G., Degener, J. dan Kappas, M. 2018. Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam. International Soil and Water Conservation Research 6(2):99-110, doi:10.1016/j.iswcr.2018.01.001.

Prasuhn, V. 2022. Experience with the assessment of the USLE cover-management factor for arable land compared with long-term measured soil loss in the Swiss Plateau. Soil and Tillage Research 215(July 2021):105199, doi:10.1016/j.still.2021.105199.

Prayitno, J.S. Tasirin, M.Y.M.A., Sumakud, dan Rombang, J.A. 2015. Pemanfaatam Sistem Informasi Geografis (SIG) dalam pengklasifikasian bahaya erosi pada DAS Talawaan. Cocos: Jurnal Ilmiah Fakultas Pertanian Universitas Sam Ratulangi 6(11):1-8.

Putra, A., Triyatno, Syarief, A. dan 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, doi:10.24114/jg.v10i1.7176.

Sartori, M., Philippidis, G., Ferrari, E., Borrelli, P., Lugato, E., Montanarella, L. and Panagos, P. 2019. A linkage between the biophysical and the economic: Assessing the global market impacts of soil erosion. Land Use Policy 86(May), 299-312, doi:10.1016/j.landusepol.2019.05.014.

Sinaga, J. 2014. Analisis potensi erosi pada penggunaan lahan Daerah Aliran Sungai Sedau di Kecamatan Singkawang Selatan. Jurnal Teknologi Lingkungan Lahan Basah 2(1):1-10, doi:10.26418/jtllb.v2i1.7306.

Singh, G. and Panda, R. 2017. Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE, GIS and remote sensing: a case study in the Kapgari Watershed, India. International Soil and Water Conservation Research 5(19):202-211, doi:10.1016/J.ISWCR.2017.05.006.

Sitepu, F., Selintung, M. dan Harianto, T. 201). Pengaruh intensitas curah hujan dan kemiringan lereng terhadap erosi yang berpotensi longsor. Jurnal Penelitian Enjiniring 21(1):23-27, doi:10.25042/jpe.052017.03.

Teh, S.H. 2011. Soil Erosion Modeling Using RUSLE and GIS on Cameron Highlands, Malaysia for Hydropower Development. RES | the School for Renewable Energy Science. 6-8.

Terranova, O., Antronico, L., Coscarelli, R. and Iaquinta, P. 2009. Soil erosion risk scenarios in the mediterranean environment using RUSLE and GIS: An application model for Calabria (Southern Italy). Geomorphology 112(3-4):228-245, doi:10.1016/ j.geomorph.2009.06.009.

Utama, L. 2022. Kawasan berpotensi banjir pada Daerah Aliran Sungai (DAS) Kuranji. Jurnal Teknik 5(2):110-115, doi:10.31869/rtj.v5i1.2844.

Wang, B., Zheng, F., Römkens, M.J.M. and Darboux, F. 2013. Soil erodibility for water erosion: A perspective and Chinese experiences. Geomorphology 187(1):1-10, doi:10.1016/j.geomorph.2013.01.018.

Wati, Y., Alibasyah, M.R. dan Manfarizah. 2014. Pengaruh lereng dan pupuk organik terhadap kehilangan hara pada areal tanaman kentang (Solanum tuberosum L.) di Kecamatan Atu Lintang Kabupaten Aceh Tengah. Jurnal Manajemen Sumberdaya Lahan 3(2):496-505.

Wischmeier, W.H. and Smith, D.D. 1978. Predicting Rainfall Erosion Losses - A Guide to Conservation Planing. USDA Agricultre Handbook 537, 58.

Životić, L., Perović, V., Jaramaz, D., Dordević, A., Petrović, R. and Todorović, M. 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.