Analisis Wilayah Rawan Banjir DAS Cimanuk Hulu Menggunakan Model Complete Mapping Analysis dan SIG

Authors

  • Ilham Badaruddin Mataburu Universitas Negeri Jakarta
  • Rayuna Handawati Universitas Negeri Jakarta
  • Sony Nugratama Hijrawadi Universitas Negeri Jakarta

DOI:

https://doi.org/10.32663/georaf.v7i2.2793

Keywords:

Flood-prone area; CMA; GIS

Abstract

The occurrence of flooding in the Upper Cimanuk Watershed has increased in recent years as a result of the decline in watershed quality due to changes in land use. A flood is the work accumulation of various environmental factors in a watershed. This study aims to identify the level of flood-prone and its determinants in the Cimanuk Hulu watershed. The method used in this study is the overlay method using GIS accompanied by weighting and scores determined by the Composite Mapping Analysis (CMA) model of 6 parameters, consist of Topographic Wetness Index (TWI), Land Use, Rainfall, Slope, Elevation, and Soil type. Flood event points as comparison parameters in determining scores and weights. The results showed that the variable land use was the variable with the highest weight of 27.01, respectively, affecting the level of flood-prone in the study area. The very high prone area includes an area of 1.57%, high prone area of 3.15%, moderate prone area of 5.85%, low prone area of 7.75%, and  81.68% are very low prone areas.

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References

BNPB. 2021. Data dan Informasi Bencana Indonesia. Jakarta
Boonyanuphap, J., Suratmo, F. G., & Jaya, I. N. S. (2001). Gis-based method in developing wildfire risk model (Case study in Sasamba, East Kalimantan, Indonesia). Jurnal Manajemen Hutan Tropika, 7(2), 33–45. https://doi.org/10.7226/jmht.7.2.
Budiyanto, S., Tarigan, S. D., Sinukaban, N., & Murtilaksono, K. (2015). The impact of land use on hydrological characteristics in Kaligarang Watershed. International Journal of Science and Engineering, 8(2), 125–130. https://doi.org/10.12777/ijse.8.2.125-130
Chang, H., Franczyk, J., & Kim, C. (2009). What is responsible for increasing flood risks? The case of Gangwon Province, Korea. Natural Hazards, 48(3), 339–354. https://doi.org/10.1007/s11069-008-9266-y
Choubin, B., Moradi, E., Golshan, M., Adamowski, J., Hosseini, F. S., & Mosavi, A. (2019). An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines. Science of the Total Environment, 651, 2087–2096. https://doi.org/10.1016/j.scitotenv.2018.10.064
Harifa, A. C., Solichin, M., & Prayogo, T. B. (2017). Analisa pengaruh perubahan penutupan lahan terhadap debit sungai Sub Das Metro dengan menggunakan Program ArcSWAT. Jurnal Teknik Pengairan, 8(1), 1–14. https://doi.org/http://dx.doi.org/10.21776/ub.jtp.2017.008.01.01
Haryani, N. S., Zubaidah, A., Dirgahayu, D., Hidayat, F. Y., & Junita, P. (2012). Model bahaya banjir menggunakan data penginderaan jauh di Kabupaten Sampang. Jurnal Penginderaan Jauh, 9(1), 52–66.
Kim, G., & Barros, A. P. (2001). Quantitative flood forecasting using multisensor data and neural networks. Journal of Hydrology, 246(1–4), 45–62. https://doi.org/10.1016/S0022-1694(01)00353-5
Kuswadi, D., & Zulkarnain, I. (2014). Identifikasi wilayah rawan banjir Kota Bandar Lampung dengan aplikasi Sistem Informasi Geografis (SIG). TekTan Jurnal Ilmiah Teknik Pertanian, 6(1), 1–70. https://doi.org/https://doi.org/10.25181/tektan.v6i1.840
Muldiana, A., Sugandi, D., & Somantri, L. (2016). Pemanfaatan citra landsat 8 untuk analisis penggunaan lahan di Kabupaten Garut. Antologi Pendidikan Geografi, 4(2), 73–80. http://journal.ikippgriptk.ac.id/index.php/edukasi/article/download/17/16
Nandi, A., Mandal, A., Wilson, M., & Smith, D. (2016). Flood hazard mapping in Jamaica using principal component analysis and logistic regression. Environmental Earth Sciences, 75(6), 1–16. https://doi.org/10.1007/s12665-016-5323-0
Nucifera, F., & Putro, S. T. (2018). Deteksi kerawanan banjir genangan menggunakan Topographic Wetness Index (TWI). Media Komunikasi Geografi, 18(2), 107. https://doi.org/10.23887/mkg.v18i2.12088
Riadi, B., Barus, B., Widiatmaka, Yanuar, M., & Pramudya, B. (2018). Identification of flood area in the coastal region using remote sensing in Karawang Regency, West Java. IOP Conference Series: Earth and Environmental Science, 162(1). https://doi.org/10.1088/1755-1315/162/1/012042
Savitri, E., & Pramono, I. B. (2017). Analisis banjir Cimanuk Hulu 2016. Jurnal Penelitian Pengelolaan Daerah Aliran Sungai, 1(2), 97–110. https://doi.org/http://dx.doi.org/10.20886/jppdas.2017.1.2.97-110
Sulaksana, N., Sukiyah, E., Sjafrudin, A., & Haryanto, E. T. (2014). Karakteriristik geomorfologi DAS Cimanuk bagian hulu dan implikasinya terhadap intensitas erosi serta pendangkalan Waduk Jatigede. Bionatura-Jurnal Ilmu-Ilmu Hayati Dan Fisik, 16(2), 95–102.
Tarigan, S. D. (2016). Land cover change and its impact on flooding frequency of Batanghari Watershed, Jambi Province, Indonesia. Procedia Environmental Sciences, 33, 386–392. https://doi.org/10.1016/j.proenv.2016.03.089
Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2014). Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Journal of Hydrology, 512, 332–343. https://doi.org/10.1016/j.jhydrol.2014.03.008

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Published

2023-01-01

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