Penelusuran Debit Anak Sungai Musi Berdasarkan Pengukuran Curah Hujan Kota Palembang Discharge Routing of Musi River Tributary Based on Rainfall Measurements in Palembang City
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May 18, 2024
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Discharge, FJ Mock Model, Rainfall.
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Abstract
The hydrological cycle of the South Sumatra region is influenced by the potential flow produced by the Musi River and its tributaries. The quantity of water that is accessible at any given place is never constant and varies with time. The primary input to the river basin simulation model is flow and discharge data, which must be a time series that completely captures the variability of river flow and discharge data in order to accurately depict water availability. Because the Sekanak River is one of the tributaries of the Musi River, the research built a hydrological model that combines rainfall and river discharge to determine the discharge. The monthly rainfall data is processed to obtain the average rainfall during the data analysis step. The modified Penman method is then used to calculate evapotranspiration. The FJ Mock model was used to examine the mainstay discharge. Results of the discharge analysis for the period of 2018 to 2022 using the FJ Mock method show that the largest discharge occurred between March and June, ranging from 0.203 to 0.241 m3/sec. When the calculated discharge and the actual discharge are compared, it can be seen that the minimum discharge happens in August and the maximum discharge typically occurs in March in the actual discharge data.
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Permatasari, R., Andayani, R., & Umari, Z. F. (2024). Penelusuran Debit Anak Sungai Musi Berdasarkan Pengukuran Curah Hujan Kota Palembang: Discharge Routing of Musi River Tributary Based on Rainfall Measurements in Palembang City. Cantilever: Jurnal Penelitian Dan Kajian Bidang Teknik Sipil, 13(1), 45-54. https://doi.org/10.35139/cantilever.v13i1.286
References
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[22] Widiatmoko N, TariganSD, WahjunieED. Analisis Respons Hidrologi untuk Mendukung Perencanaan Pengelolaan Sub-DAS Opak Hulu, Daerah Istimewa Yogyakarta. J. Ilmu. Pertan. Indones. [Internet]. 2020Oct.27 [cited 2024Apr.9];25(4):503-14. Available from: https://journal.ipb.ac.id/index.php/JIPI/article/view/27605
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[24] Lesmana, Surya, AND Milenia, Andi. "Analisis Ketersediaan Air pada Daerah Tangkapan Waduk Sempor dengan Model Mock" Bulletin of Civil Engineering [Online], Volume 3 Number 1 (10 August 2023).
[25] Besse Emmy Saphira, Andi Alyah Ayu Mariska Waris, Nurnawaty N, Abd. Rakhim Nanda. ANALISIS POTENSI AIR DAS TALLO UNTUK KEPERLUAN PREDIKSI BANJIR . Kohesi [Internet]. 2024 Feb. 16 [cited 2024 Apr. 9];2(8):23-3. Available from: https://ejournal.warunayama.org/index.php/kohesi/article/view/2364.
[2] Windusari, Y., Sari, N.P. (2015): Kualitas Perairan Sungai Musi Di Kota Palembang Sumatera Selatan. Jurnal Bioeksperimen, Vol.1 No.1.
[3] Laporan Pola Musi. Balai Besar Wilayah Sungai VIII, 2007
[4] Permatasari, R., Arwin, Natakusumah, D.K. (2017): Pengaruh Perubahan Penggunaan Lahan terhadap Rezim Hidrologi DAS (Studi Kasus : DAS Komering). Jurnal Teknik Sipil, ITB.
[5] Kamiana, I.M. (2012): Teknik Perhitungan Debit Rencana Bangunan Air, Yogyakarta: Graha Ilmu.
[6] Anindya DP, Suhartanto E, Fidari JS. Perbandingan Metode Alih Ragam Hujan Menjadi Debit dengan FJ. Mock dan NRECA di DAS Welang Kabupaten Pasuruan. jtresda [Internet]. 2022 Jul. 19 [cited 2024 Apr. 9];2(2):299. Available from: https://jtresda.ub.ac.id/index.php/jtresda/article/view/286.
[7] Habrio, I., Imam,S., Manyuk, F. (2020): Analis Kondisi Hdrologi Berdasarkan Peta Tata Guna Lahan Tahun 2014 Menggunakan Model Flow Persistance. Jurnal Teknik , Vol. 14 No. 1.
[8] Widyaningsih karunia waasiu, Harisuseno D, Soetopo W. Perbandingan Metode FJ. Mock dan NRECA untuk Transformasi Hujan Menjadi Debit pada DAS Metro Kabupaten Malang, Jawa Timur. jtresda [Internet]. 2021 Jan. 9 [cited 2024 Apr. 9];1(1):52-61. Available from: https://jtresda.ub.ac.id/index.php/jtresda/article/view/8.
[9] Jiwa Osly P, Dwiyandi F, Ihsani I, Ririhena RE. Analysis of water demand and supply in Kabupaten Manokwari with Mock Model. infrastruktur [Internet]. 2019Dec.5 [cited 2024Apr.9];5(2):59 -67. Available from: https://journal.univpancasila.ac.id/index.php/infrastruktur/article/view/1025.
[10] Arwin (2009): Perubahan Iklim, Konversi Lahan, dan Ancaman Banjir dan Kekeringan di Kawasan Terbangun. Pidato Ilmiah Guru Besar ITB-Majelis Guru Besar ITB. CV Senatama Wikarya-Bandung.
[11] Arwin dan Paramastuti, N. (2009): Dampak Degradasi Rezim Hidrologi di Kawasan Andalan Terhadap Kinerja PLTA, Infrastruktur Air Minum dan Sanitasi. Seminar Apresiasi Air dan Sanitasi di Kawasan Budidaya. Kerma ITB – Ditjen Cipta Karya PU.
[12] Asdak, C. (2002): Hidrologi dan Pengelolaan Daerah Aliran Sungai. Gadjah Mada University Press.
[13] Kodoatie, R.J dan Sjarief, R. (2010): Tata Ruang Air. Penerbit ANDI Yogyakarta.
[14] Sarino, dkk (2009): Laporan Hibah Kompetitif Penelitian Pemodelan Banjir untuk Mitigasi dan Manajemen Sistem Drainase Kota Palembang.
[15] PUDYASTUTI, Purwanti Sri; MUSTHOFA, Rizal Ahmad. Analisa Distribusi Curah Hujan Harian Maksimum di Stasiun Pengukur Hujan Terpilih di Wilayah Klaten Periode 2008-2018. Dinamika Teknik Sipil: Majalah Ilmiah Teknik Sipil, [S.l.], p. 10-15, july 2020. ISSN 2828-2876. Available at:
[16] Lakitan, B. (1994): Dasar-Dasar Klimatologi. PT. RajaGrafindo Persada, Jakarta (Cetakan Pertama).
[17] Pamungkas, Y.A., Jayadi, R., Sujono, J. (2019): Model Hidrologi Terdistribusi untuk Simulasi Hidrograf Banjir Menggunakan Data Radar. Jurnal Teknik Sipil, ITB.
[18] Hilda M. Analisis Ketersediaan Air pada Sub DAS menggunakan Pendekatan F.J Mock (Studi Kasus : Sub DAS Tapung Kiri). js [Internet]. 2022Jun.30 [cited 2024Apr.9];10(1):67-72. Available from: https://ejournal.sttp-yds.ac.id/index.php/js/article/view/10.
[19] Andayani R, Marlina A. Pengaruh Pasang Surut Terhadap Profil Muka Air Banjir Bantaran Sungai Musi Kota Palembang. Cantilever [Internet]. 2022Mar.16 [cited 2024Apr.9];10(2):119-26. Available from: https://cantilever.id/index.php/cantilever/article/view/105.
[20] Syahputra, A., & Arifitama, B. (2018). Pengembangan alat peraga edukasi proses siklus air (hidrologi) menggunakan teknologi Augmented Reality. Semnasteknomedia Online, 6(1), 2-11.
[21] Menteri Kehutanan Republik Indonesia.2014. Kriteria Penetapan Klasifikasi Daerah Aliran Sungai, Peraturan Menteri Kehutanan Republik Indonesia Nomor 60 Tahun 2014. Jakarta (ID): Menteri Kehutanan Republik Indonesia.
[22] Widiatmoko N, TariganSD, WahjunieED. Analisis Respons Hidrologi untuk Mendukung Perencanaan Pengelolaan Sub-DAS Opak Hulu, Daerah Istimewa Yogyakarta. J. Ilmu. Pertan. Indones. [Internet]. 2020Oct.27 [cited 2024Apr.9];25(4):503-14. Available from: https://journal.ipb.ac.id/index.php/JIPI/article/view/27605
[23] Utami WU, Dwi WahjunieE, Darma TariganS. Karakteristik Hidrologi dan Pengelolaannya dengan Model Hidrologi Soil and Water Assessment Tool Sub DAS Cisadane Hulu. J. Ilmu. Pertan. Indones. [Internet]. 2020Jul.29 [cited 2024Apr.9];25(3):342-8. Available from: https://journal.ipb.ac.id/index.php/JIPI/article/view/28643
[24] Lesmana, Surya, AND Milenia, Andi. "Analisis Ketersediaan Air pada Daerah Tangkapan Waduk Sempor dengan Model Mock" Bulletin of Civil Engineering [Online], Volume 3 Number 1 (10 August 2023).
[25] Besse Emmy Saphira, Andi Alyah Ayu Mariska Waris, Nurnawaty N, Abd. Rakhim Nanda. ANALISIS POTENSI AIR DAS TALLO UNTUK KEPERLUAN PREDIKSI BANJIR . Kohesi [Internet]. 2024 Feb. 16 [cited 2024 Apr. 9];2(8):23-3. Available from: https://ejournal.warunayama.org/index.php/kohesi/article/view/2364.
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