Spatial Analysis of Flood Prone Areas in Fena Leisela Subdistrict, Buru Regency

  • Philia Christi Latue Universitas Pattimura
Abstract views: 92 , PDF downloads: 110
Keywords: floods, Buru, Fena leisela, Topographic Wetness Index

Abstract

Fena Leisela sub-district is often hit by floods in the rainy season. Floods that often occur in the Siwalalat sub-district are caused by the overflowing of the Waegeren river. The research used DEMNAS data and analysis using the Topographic Wetness Index method. The results of the inundation potential analysis are divided into three classes, namely low potential class with an area of 92,196.09 or 63.04%, medium class of 45,769.48 ha or 31.29%, and a high potential class of 936.12 ha or 5.67%. Waelana-Lana village (3,291.78 ha), Wamana Baru (1,349.33 ha), and Waspait (936.12 ha) are villages that have the largest area in the high flood hazard class in Fena Leisela Sub-district. In the medium flood class, Raheriat village (8,243.39 ha) is the village that has the largest area presentation compared to other villages and for the low flood hazard class, Wamlana village (14,811.98 ha), Waemite village (12,305.48 ha) and Waelana-lana village (1,680.33 ha) are the villages that have the largest area compared to other villages in Fena Leisela Sub-district. The results of this study are expected to be a reference for the government and the community in handling future floods to minimize the impact that occurs.

References

J. Teng, A. J. Jakeman, J. Vaze, B. F. W. Croke, D. Dutta, and S. Kim, “Flood inundation modeling: A review of methods, recent advances and uncertainty analysis,” Environ. Model. Softw., vol. 90, pp. 201–216, 2017, doi: https://doi.org/10.1016/j.envsoft.2017.01.006.

D. A. Rakuasa, H., Helwend, J. K., & Sihasale, “Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis,” J. Geogr. Media Inf. Pengemb. dan Profesi Kegeografian, vol. 19, no. 2, pp. 73–82, 2022, doi: https://doi.org/10.15294/jg.v19i2.34240.

M. Zeleňáková, R. Fijko, S. Labant, E. Weiss, G. Markovič, and R. Weiss, “Flood risk modelling of the Slatvinec stream in Kružlov village, Slovakia,” J. Clean. Prod., vol. 212, pp. 109–118, 2019, doi: https://doi.org/10.1016/j.jclepro.2018.12.008.

H. Rakuasa and P. C. Latue, “ANALISIS SPASIAL DAERAH RAWAN BANJIR DI DAS WAE HERU, KOTA AMBON,” J. Tanah dan Sumberd. Lahan, vol. 10, no. 1, pp. 75–82, Jan. 2023, doi: 10.21776/ub.jtsl.2023.010.1.8.

H. Muin, A., Somae, G., & Rakuasa, “Analisis Potensi Genangan Banjir di Kecamatan Siwalalat, Kabupaten Seram Bangian Timur berdasarkan Topographic Wetness Index,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 5, pp. 1800–1806, 2023, doi: DOI: https://doi.org/10.56799/jim.v2i5.1502.

H. Latue, P. C., Imanuel Septory, J. S., Somae, G., & Rakuasa, “Pemodelan Daerah Rawan Banjir di Kecamatan Sirimau Menggunakan Metode Multi-Criteria Analysis (MCA),” J. Perenc. Wil. Dan Kota, vol. 18, no. 1, pp. 10–17, 2023, doi: https://doi.org/10.29313/jpwk.v18i1.1964.

M. Sugandhi, N., Rakuasa, H., Zainudin, Z., Abdul Wahab, W., Kamiludin, K., Jaelani, A., Ramdhani, R., & Rinaldi, “Pemodelan Spasial Limpasan Genangan Banjir dari DAS Ciliwung di Kel. Kebon Baru dan Kel. Bidara Cina DKI Jakarta,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 5, pp. 1685–1692, 2023, doi: https://doi.org/10.56799/jim.v2i5.1477.

BNPB, “Banjir Kabupaten Buru Akibatkan Satu Jembatan Penghubung Wilayah Rusak Berat,” BNPB, 2021. https://bnpb.go.id/berita/banjir-kabupaten-buru-akibatkan-satu-jembatan-penghubung-wilayah-rusak-berat (accessed Apr. 08, 2023).

B. Berhanu and E. Bisrat, “Identification of Surface Water Storing Sites Using Topographic Wetness Index (TWI) and Normalized Difference Vegetation Index (NDVI),” J. Nat. Resour. Dev., vol. 8, pp. 91–100, Sep. 2018, doi: 10.5027/jnrd.v8i0.09.

W. Chen and Y. Li, “GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models,” CATENA, vol. 195, p. 104777, 2020, doi: https://doi.org/10.1016/j.catena.2020.104777.

Y.-H. Chen, J. Mossa, and K. K. Singh, “Floodplain response to varied flows in a large coastal plain river,” Geomorphology, vol. 354, p. 107035, 2020, doi: https://doi.org/10.1016/j.geomorph.2020.107035.

S. T. Nucifera, F., & Putro, “Deteksi Kerawanan Banjir Genangan Menggunakan Topographic Wetness Index (TWI),” Media Komun. Geogr., vol. 18, no. 2, pp. 107–116, 2017, doi: https://doi.org/10.23887/mkg.v18i2.12088.

M. Rakuasa, H., & Rinaldi, “Pemetaan Daerah Potensi Genangan Banjir di Kecamatan Gunugputri, Kabupaten Bogor Menggunakan Data DEMNAS Dengan Metode Topographic Wetness Index,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 6, pp. 2269-2280., 2023, doi: https://doi.org/10.56799/jim.v2i6.1607.

H. Muin, A., & Rakuasa, “Evaluasi Rencana Tata Ruang Wilayah Kota Ambon Berdasarkan Aspek Kerawanan Banjir,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 5, pp. 1727-1738., 2023, doi: https://doi.org/10.56799/jim.v2i5.1485.

S. A. Ali, R. Khatun, A. Ahmad, and S. N. Ahmad, “Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India,” Model. Earth Syst. Environ., vol. 5, no. 3, pp. 1083–1102, 2019, doi: 10.1007/s40808-019-00593-z.

S. H. Pourali, C. Arrowsmith, N. Chrisman, A. A. Matkan, and D. Mitchell, “Topography Wetness Index Application in Flood-Risk-Based Land Use Planning,” Appl. Spat. Anal. Policy, vol. 9, no. 1, pp. 39–54, Mar. 2016, doi: 10.1007/s12061-014-9130-2.

P. C. Rakuasa, H., Somae, G., & Latue, “Pemetaan Daerah Rawan Banjir di Desa Batumerah Kecamatan Sirimau Kota Ambon Menggunakan Sistim Informasi Geografis,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 4, pp. 1642–1653, 2023, doi: https://doi.org/10.56799/jim.v2i4.1475.

A. P. W. Heinrich Rakuasa, Daniel A Sihasale , Marhelin C Mehdila, “Analisis Spasial Tingkat Kerawanan Banjir di Kecamatan Teluk Ambon Baguala, Kota Ambon,” J. Geosains dan Remote Sens., vol. 3, no. 2, pp. 60–69, 2022, doi: https://doi.org/10.23960/jgrs.2022.v3i2.80.

PlumX Metrics

Published
2023-06-26