Analysis of Erosion and Sedimentation Rates of Pengga Dam Using MUSLE Method

Ni Made Sri Ratna Windusari, Ery Setiawan, Yusron Saadi, Heri Sulistiyono

Abstract

Pengga Dam is a water resource in the Pelambik Village area, Southwest Praya, Central Lombok, West Nusa Tenggara. This dam experienced sedimentation problems caused by land erosion, threatening its helpful life. Preventing the decline in the useful life of the dam can be done by predicting the amount of erosion that occurs in the dam's catchment area. The erosion rate can be estimated and analyzed using the Modified Soil Loss Equation (MUSLE) method using ArcGIS 10.8 software. The MUSLE method consists of several factors that influence its analysis; there are surface runoff factor (R), soil erodibility factor (K), length and slope factor (LS), land use factor (C), and erosion control-practice factor which are analyzed into a layout based on the catchment area of Pengga Dam. Using the erosion value, the sedimentation of Pengga Dam is calculated based on the Sediment Delivery Ratio (SDR) using the Boyce (1975) method and the Menhut (2005) method. The results of data analysis show that the erosion rate in the Pengga Dam Catchment Area (CA) is 38456.98 tons/year with an eroded catchment area of 19537.56 ha. Based on the Brune and Churchill graphs, the trap efficiency value of Pengga Dam is 96%. Therefore, the sedimentation of Pengga Dam is 1583.936 m³/year using the Boyce method and 2093.06 m³/year using the Menhut method. From the results of this erosion and sedimentation analysis, it is hoped that erosion at Pengga Dam can be predicted and controlled in the future so that it does not have a harmful impact.



Keywords


Erosion; Sedimentation; MUSLE Method; SDR; Pengga Dam

Full Text:

PDF


References


1. Salehudin., Putra, I. B. G., & Widalia, B. Y. (2015). Analisis Sedimentasi Terhadap Umur Guna Bendungan Pengga Kabupaten Lombok Tengah [Sedimentation analysis of the useful life of Pengga reservoir in Lombok Tengah regency]. Spektrum Sipil, 2(1), 71-81 (in Indonesian).

2. Krisnayanti, D. S., Udiana, I., Muskanan, M. (2018). Pendugaan erosi dan sedimentasi menggunakan metode USLE dan MUSLE pada DAS Noel-Puames [Estimating erosion and sedimentation using the USLE and MUSLE methods in the Noel-Puames watershed]. Jurnal Teknik Sipil, 7(2), 143-154 (in Indonesian).

3. Ilmi, M. K. (2019). Kajian pengaruh perubahan tata guna lahan terhadap kondisi hidrologi daerah aliran sungai (DAS) Dodokan, Provinsi Nusa Tenggara Barat [Assessment of the influence of land use change on the hydrological conditions of the Dodokan watershed, West Nusa Tenggara Province]. Retrieved from https://www.researchgate.net/publication/340999980_KAJIAN_PENGARUH_PERUBAHAN_TATA_GUNA_LAHAN_TERHADAP_KONDISI_HIDROLOGI_DAERAH_ALIRAN_SUNGAI_DAS_DODOKAN_PROVINSI_NUSA_TENGGARA_BARAT (in Indonesian).

4. Abdurrosyid, J., & Saputra, K. (2022). Perbandingan antara metode USLE dan MUSLE dalam analisis erosi lahan pada Daerah Tangkapan Air Waduk Cengklik [Comparison between USLE and MUSLE methods in land erosion analysis in Cengklik Reservoir Catchment Area]. Retrieved from https://www.semanticscholar.org/paper/Perbandingan-Antara-Metode-USLE-dan-MUSLE-Dalam-Air-Abdurrosyid-Saputra/4abaaa7285b3f6cf618d7cd1cc4852e4aea9342c (in Indonesian).

5. Erol, A., Koşkan, Ö., & Başaran, M. A. (2015). Socioeconomic modifications of the universal soil loss equation. Solid Earth, 6(3), 1025–1035. doi: 10.5194/se-6-1025-2015

6. Lesmana, D. M. M., Agung Cahyadi, T., Nursanto, E., Winarno, E. (2020). Perbandingan hasil prediksi laju erosi dengan metode USLE, MUSLE, RUSLE berdasar literatur review [Comparison of erosion rate prediction results with USLE, MUSLE, RUSLE methods based on literature review]. Seminar Teknologi Kebumian dan Kehutanan (SEMITAN), 2(1), 307–312 (in Indonesian).

7. Rizalihadi, M., Fatimah, E., & Nazia, D. L. (2013). Modifikasi metode MUSLE dalam estimasi erosi akibat kehadiran alur (rill) dalam suatu DAS [Modification of the MUSLE method in estimating erosion due to the presence of furrows (rill) in a watershed]. Universitas Sebelas Maret (UNS)-Surakarta, 7(7) (in Indonesian).

8. Koirala, P., Thakuri, S., Joshi, S., & Chauhan, R. (2019). Estimation of Soil Erosion in Nepal Using a RUSLE Modeling and Geospatial Tool. Geosciences, 9(4), 147. doi: 10.3390/geosciences9040147

9. 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, 1–14. doi: 10.1155/2022/2122554

10. Saadi, Y., Mardiana, S., & Pradjoko, E. (2022). Soil erosion prediction and risk assessment using RUSLE model and GIS techniques in the Nangka watershed. Journal of Water and Land Development, 185–191. doi: 10.24425/jwld.2022.142320

11. Tsige, M. G., Malcherek, A., & Seleshi, Y. (2022). Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia. doi: 10.20944/preprints202202.0163.v2

12. Gwapedza, D., Nyamela, N., Hughes, D. A., Slaughter, A. R., Mantel, S. K., & van der Waal, B. (2021). Prediction of sediment yield of the Inxu River catchment (South Africa) using the MUSLE. International Soil and Water Conservation Research, 9(1), 37–48. doi: 10.1016/j.iswcr.2020.10.003

13. Shi, W., Chen, T., Yang, J., Lou, Q., & Liu, M. (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, 128598. doi: 10.1016/j.jhydrol.2022.128598

14. Simons, D. B., & Senturk, F. (1992). Sediment Transport Technology : Water and Sediment Dynamic. Colorado: Water Resources Publications.

15. Erwanto, Z., & Lestari, N. (2021). Study of rainfall erosivity and erosion rate with MUSLE method using geographic information system in Badeng Watershed. Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020), 346–353.

16. Al Rammahi, A. H. J. (2018). Estimation of soil erodibility factor in rusle equation for euphrates river watershed using gis. International Journal of GEOMATE, 14(46). doi: 10.21660/2018.46.87788

17. Azaiez, N. (2021). Improved Modelling of Soil Loss in El Badalah Basin: Comparing the Performance of the Universal Soil Loss Equation, Revised Universal Soil Loss Equation and Modified Universal Soil Loss Equation Models by Using the Magnetic and Gravimetric Prospection Outcomes. Journal of Geoscience and Environment Protection, 09(04), 50–73. doi: 10.4236/gep.2021.94005

18. Ozsahin, E., Duru, U., & Eroglu, I. (2018). Land Use and Land Cover Changes (LULCC), a Key to Understand Soil Erosion Intensities in the Maritsa Basin. Water, 10(3), 335. doi: 10.3390/w10030335

19. Baiamonte, G., Minacapilli, M., Novara, A., & Gristina, L. (2019). Time Scale Effects and Interactions of Rainfall Erosivity and Cover Management Factors on Vineyard Soil Loss Erosion in the Semi-Arid Area of Southern Sicily. Water, 11(5), 978. doi: 10.3390/w11050978

20. Bogunovic, I., Telak, L. J., Pereira, P., Filipovic, V., Filipovic, L., Percin, A., Durdevic, B., Birkás, M., Dekemati, I., & Comino, J. R. (2020). Land management impacts on soil properties and initial soil erosion processes in olives and vegetable crops. Journal of Hydrology and Hydromechanics, 68(4), 328–337. doi: 10.2478/johh-2020-0033

21. Triatmodjo, B. (2015). Hidrologi Terapan [Applied Hydrology]. Yogyakarta: Beta Offset (in Indonesian).

22. Sihaloho, R., Bambang Sujatmoko, & Manyuk Fauzi. (2020). Aplikasi Sistem Informasi Geografis (SIG) untuk Prediksi Erosi Lahan dengan Metode MUSLE [Application of Geographic Information System (GIS) for Land Erosion Prediction with MUSLE Method]. JURNAL TEKNIK, 14(2), 153–162. doi: 10.31849/teknik.v14i2.5041 (in Indonesian).

23. Araswati, F. D., Murtilaksano, K., & Hidayat, Y. (2021). Perencanaan Penggunaan Lahan Berbasis Sumber Daya Air di Hulu DAS Cisadane [Water Resource-Based Land Use Planning in the Upper Cisadane Watershed]. Jurnal Ilmu Pertanian Indonesia, 26(3), 343–353. doi: 10.18343/jipi.26.3.343

24. Kironoto, B. A., Yulistiyanto, B., & Olii, M. R. (2021). Erosi dan Konservasi Lahan [Erosion and Land Conservation]. Yogyakarta: Gadjah Mada University Press (in Indonesian).

25. Kodoatie, R. J., & Sjarief, R. (2010). Tata Ruang Air [Water Spatial Planning]. Yogyakarta: ANDI (in Indonesian).

26. Arsyad, S. (2012). Soil and Water Conservation. Indonesia: Bogor Agricultural Institute.

27. Tatipata, W., Soekarno, I., Sabar, A., & Legowo, S. (2015). Analisis Volume Sedimen yang Mengendap Setelah T-Tahun Waduk Beroperasi (Studi Kasus: Waduk Cirata). Jurnal Teknik Sipil, 22(3), 235–242 (in Indonesian).

28. Tribiyono, B., Yuwono, S. B., & Banuwa, I. S. (2018). Estimasi Erosi Dan Potensi Sedimen Dam Batutegi Di Das Sekampung Hulu Dengan Metode Sdr (Sediment Delivery Ratio) [Estimating Erosion and Sediment Potential of Batutegi Dam in Upper Sekampung Das Using the Sdr (Sediment Delivery Ratio) Method]. Jurnal Hutan Tropis, 6(2), 161. doi: 10.20527/jht.v6i2.5404 (in Indonesian).

29. Wahyuningrum, N., Sudira, P., Supriyo, H., & Sabarnurdin, S. (2014). Perhitungan Nilai Nisbah Hantaran Sedimen Dengan Menggunakan Kurva Sedimen Dan Model Erosi Tanah [Calculation of sediment delivery ratio using sediment rating curve and soil erosion model]. AGRITECH, 34(2), 223-231 (in Indonesian).

30. Sabila, N. A., Yulistiyanto, B., & Legono, D. (2020). Kajian sedimen delivery ratio Bendungan Bener Kabupaten Purworejo [Study of sediment delivery ratio of Bener Dam, Purworejo Regency]. Retrieved from http://etd.repository.ugm.ac.id/penelitian/detail/191940 (in Indonesian).

31. Goy, P. N., Julien, P. Y., Fontane, D. G., & Macdonald, L. H. (2015). Gis-Based Soil Erosion Modeling and Sediment Yield of The N’djili River Basin, Democratic Republic of Congo (Master thesis; Colorado State University). Retrieved from https://mountainscholar.org/items/2346901e-8d39-4a1a-891f-e4963d02deff

32. Peraturan Menteri Kehutanan Republik Indonesia Nomor: P.60 / Menhut-II/2014 [Regulation of the Minister of Forestry of the Republic of Indonesia Number: P.60/Minhut-II/2014]. Retrieved from https://jdih.menlhk.go.id/new/uploads/files/P.60%20(3).pdf (in Indonesian).

33. Desifindiana, M. D., Suharto, B., Wirosoedarmo, R. (2013). Analisa Tingkat Bahaya Erosi pada DAS Bondoyudo Lumajang dengan Menggunakan Metode Musle [Analysis of Erosion Hazard Level in Bondoyudo Watershed Lumajang by Using Musle Method]. Jurnal Keteknikan Pertanian Tropis dan Biosistem, 1(2), 9–17 (in Indonesian).

34. Agustin, U., & Siregar, M. A. P. (2023). Frequency Analysis Of Deli River Flood Distribution Plan Using The Gumbel Probability Distribution Method. Sinkron, 8(3), 1474–1485. 10.33395/sinkron.v8i3.12543

35. Monica., Muliadi., & Adriat, R. (2022). Penentuan jenis distribusi probabilitas dan intensitas curah hujan di Pulau Kalimantan [Determination of probability distribution type and intensity of rainfall in Kalimantan Island]. PRISMA FISIKA, 10(01), 109–114 (in Indonesian).

36. Ruhiat, D. (2022). Implementasi Distribusi Peluang Gumbel Untuk Analisis Data Curah Hujan Rencana [Implementation of the Gumbel Probability Distribution for the Analysis of Rainfall Plan Data]. Teorema: Teori Dan Riset Matematika, 7(1), 213. doi: 10.25157/teorema.v7i1.7137 (in Indonesian).

37. Parvez, M. B., & Inayathulla, M. (2019). Statical analysis of rainfall for development of intensity-duration-frequency curves for upper cauvery karnataka by log-normal distribution. International Journal of Scientific Research in Mathematical and Statistical Sciences, 6(5), 12–33.

38. Maitsa, T. R., Kuntoro, A. A., & Septiadi, D. (2021). Analisis Tren Perubahan Intensitas Hujan (Studi Kasus: Jakarta dan Bogor) [Rainfall Intensity Change Trend Analysis (Case Study: Jakarta and Bogor)]. Jurnal Teknik Sipil, 28(2), 163–172. doi: 10.5614/jts.2021.28.2.5 (in Indonesian).


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.




Copyright (c) 2024 Ni Made Sri Ratna Windusari, Ery Setiawan, Yusron Saadi, Heri Sulistiyono

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.