The Assessment of Peak Discharge Increment Due to Land Use Change in the Serang Welahan Drainage 1 (SWD 1) River, Central Java Province, Semarang

English

  • Jessica Elisabeth Sitorus Institut Teknologi Bandung
  • Dimas Harya Wisanggeni Bandung Institute of Technology
  • Aulia Aisyah Salsabila Bandung Institute of Technology
  • Eka Oktariyanto Nugroho Institut Teknologi Bandung
  • Muhammad Syahril Badri Kusuma Water Resources Research
Keywords: Flood, Flood Discharge, SCS CN, Rainfall, Land Use Change

Abstract

SWD1 River is located in one of those flood-prone areas in Central Java that generates flood hazards causing high risk to the surrounding rice fields and communities. However, a comprehensive study of flood hazards in SWD1 River has never been conducted. Nowadays, previous comprehensive flood studies in Indonesia only available for several very developed areas, such as the Jakarta Flood [1] – [5], Bandung Flood and Solo Flood , or new iconic area for mangrove conservation such as Langsa City . Most previous studies conclude that flood hazards in Indonesia are commonly generated by rain runoff, tides, and dam break flows, or a combination of these generators . Existing conditions show that SWD 1 is unable to accommodate runoff from the Wulan River, causing flooding. Based on rainfall data from BMKG, the maximum rainfall per month for a year reaches 323 mm. This study is an effort to analyze the impact of land use change.The research method used analysis of the influence of changes in CN (Curve Number) due to changes in land use on flood discharge as shown through changes in the Soil Conservation Service (SCS-CN) hydrograph on discharge and runoff volume. The selection of the SCS-CN method is due to its widespread adoption in various regions, its extensive use in numerous analytical studies, and its suitability for the characteristics of the watershed under review.The analysis results show that there has been a change in flood discharge from 2019 and 2022 with values of 366.920 and 371.154 m3/second. The discharge values did not change significantly because the CN values were as follows, 83.25 and 83.36. Through analysis, it can be seen that an increase in discharge of 1.14% from 2011 to 2022.The several alternatives are needed to reduce flooding, such as watershed conservation upstream, minimizing land use changes and building flood mitigation infrastructure downstream.

Downloads

Download data is not yet available.

References

Hazards, no. 0123456789, 2023, doi: 10.1007/s11069-023-06001-1.
[2]. M. S. B. Kusuma, H. P. Rahayu, M. Farid, M. B. Adityawan, T. Setiawati, and R. Silasari, “Studi Pengembangan Peta Indeks Resiko Banjir pada Kelurahan Bukit Duri Jakarta,” J. Tek. Sipil, vol. 17, no. 2, p.123, 2010, doi: 10.5614/jts.2010.17.2.5.
[3]. A. Formánek, R. Silasari, M. S. B. Kusuma, and H. Kardhana, “Two-dimensional model of ciliwung river flood in DKI Jakarta for development of the regional flood index map,” J. Eng. Technol. Sci., vol. 45 B, no. 3, pp. 307–325, 2013, doi: 10.5614/j.eng.technol.sci.2013.45.3.7.
[4]. T. Nugraha et al., “An Assessment of Flood Hazards Due to The Breach of The Manggarai Flood Gate,” Int. J. GEOMATE, vol. 23, no. 95, pp. 104–111, 2022.
[5]. H. Yosua, M. S. B. Kusuma, and J. Nugroho, “An assessment of pluvial hazard in South Jakarta based on land-use/cover change from 2016 to 2022,” Front. Built Environ., vol. 9, no. January, pp. 1–8, 2023, doi: 10.3389/fbuil.2023.1345894.
[6]. Enung, M. S. B. Kusuma, H. Kardhana, Y. Suryadi, and F. I. W. Rohmat, “Hourly Discharge Prediction Using Long Short-Term Memory Recurrent Neural Network (Lstm-Rnn) in the Upper Citarum River,” Int. J. GEOMATE, vol. 23, no. 98, pp. 147–154, 2022, doi: 10.21660/2022.98.3462.
[7]. A. Rizaldi, M. S. B. Kusuma, A. A. Kuntoro, and H. Kardhana, “Trend Analysis of Rainfall, Land Cover, and Flow Discharge in the Citarum Hulu–Majalaya Basin,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 12, no. 4, pp. 1469–1477, 2022, doi: 10.18517/ijaseit.12.4.15225.
[8]. A. A. Kuntoro, A. W. Putro, M. S. B. Kusuma, and S. Natasaputra, “The effect of land use change to maximum and minimum discharge in Cikapundung River Basin,” AIP Conf. Proc., vol. 1903, no. November, 2017, doi:10.1063/1.5011621.
[9]. M. Farid, B. Gunawan, M. S. B. Kusuma, S. A. Habibi, and A. Yahya, “Assessment of flood risk reduction in Bengawan Solo River: A case study of Sragen Regency,” Int. J. GEOMATE, vol. 18, no. 70, pp. 229–234, 2020, doi: 10.21660/2020.70.18010.
[10]. F. Isma, M.S.B. Kusuma, E.O. Nugroho, M.B. Adityawan, Flood Hazard Assessment in Kuala Langsa Village, Langsa City, Aceh Province-Indonesia, Case Studies in Chemical and Environmental Engineering, https://doi.org/10.1016/j.cscee.2024.100861.
[11]. Yatsrib, M., Harman, A.N., Taufik, S.R., ... Farid, M., Kuntoro, A.A. , Study on the Contribution of Normalization to Reducing Flood Risk in the Ciliwung River, Tebet District, Jakarta
[12]. S. R. Taufik, M. Yatrib, A. N. Harman, T. N. A. Kesuma, D. Saputra, and M. S. B. Kusuma, “Assasment of flood hazard reduction in DKI Jakarta: Bendungan Hilir Village,” IOP Conf. Ser. Earth Environ. Sci., vol. 989, no. 1, 2022, doi: 10.1088/1755-1315/989/1/012018.
[13]. S. Suprapti, M. S. Badri Kusuma, H. Kardhana, and M. Cahyono, “An Assessment of Potential Infiltration Areas to Support Groundwater Supply System in Jagakarsa, South Jakarta, based on Multi-Criteria Decision-Making (MCDM) Analysis,” Case Stud. Chem. Environ. Eng., vol. 10, no. June, p. 100799, 2024, doi:10.1016/j.cscee.2024.100799.
[14]. M. S. B. Kusuma, R. A. Rahayu, and M. Cahyono, “Development study of turbulent κ-ε model for recirculation flow III: Two dimension recirculation flow in a reservoir,” ITB J. Eng. Sci., vol. 41 B, no. 1, pp.1–16, 2009, doi: 10.5614/itbj.eng.sci.2009.41.1.1.
[15]. Sengara, I.W., Latief, H., Kusuma, S.B., “Probabilistic seismic and tsunami hazard analysis for design criteria and disaster mitigation in rehabilitation and reconstruction of a coastal area in city of Banda Aceh,” Geotechnical Engineering for Disaster Mitigation and Rehabilitation - Proceedings of the 2nd International Conference GEDMAR08, 2008, pp. 224–230, doi: 10.1007/978-3-540-79846-0.
[16]. H. Kardhana, J. R. Valerian, F. I. W. Rohmat, and M. S. B. Kusuma, “Improving Jakarta’s Katulampa Barrage Extreme Water Level Prediction Using Satellite-Based Long Short-Term Memory (LSTM) Neural Networks,” Water (Switzerland), vol. 14, no. 9, 2022, doi: 10.3390/w14091469.
[17]. T. Ari Gunawan, M. Syahril Badri Kusuma, M. Cahyono, and J. Nugroho, “The application of backpropagation neural network method to estimate the sediment loads,” MATEC Web Conf., vol. 101,
[18]. Badan Pusat Stasistik Jakarta Pusat. Kabupaten Jepara Dalam Angka 2024 (2).Jakarta Pusat : Badan Pusat Statistik
[19]. Balai Besar Wilayah Sungai Pemali Juana. 2019.LAPORAN REVIEW DESAIN SUNGAI SWD-1.pdf.”Semarang : BBWS Pemali Juana
[20]. Dyah Widyaningrum, Ardhi Nurhakim, Mohammad Farid, Isnaeni Murdi, Eka Oktariyanto Nugroho, and Ana Nurganah Chaida,” Analysis of the Impact of Land Use Change on Flood Discharge in the Ameroro River, Konawe Regency.
Published
2024-10-28
How to Cite
1.
Elisabeth SitorusJ, Wisanggeni DH, Salsabila AA, NugrohoEO, Badri KusumaMS. The Assessment of Peak Discharge Increment Due to Land Use Change in the Serang Welahan Drainage 1 (SWD 1) River, Central Java Province, Semarang : English. J-Sil [Internet]. 2024Oct.28 [cited 2025Jan.21];9(2):293-02. Available from: https://journal.ipb.ac.id/index.php/jsil/article/view/59162
Section
Research Articles