PEMODELAN SPASIAL BAHAYA TSUNAMI DAN KETERPAPARANYA TERHADAP PERMUKIMAN DI KOTA AMBON

 Heinrich Rakuasa, Melianus Salakory

Abstract


Ambon City is an area that has the highest disaster risk index in Maluku Province. The direction of development of residential areas in Ambon City tends to be coastal areas which will certainly have an impact on the risk of tsunami hazards. This study aims to spatially model the tsunami hazard and its exposure to settlements in Ambon City. The tsunami hazard was analyzed using the variables of land height, slope, distance from the river, and distance from the shoreline, while the level of exposure was analyzed based on the results of the tsunami hazard overlay and settlement variables. This study uses an overlay technique on variables that have been scored and analyzed using a Geographic Information System (GIS) approach. The results show that the tsunami hazard in Ambon City is dominated by a low tsunami hazard level which has a wider area compared to the medium and high tsunami hazard classes, this is because 77.32% of the Ambon City area is at an altitude of > 64 masl while the tsunami exposure level in settlements in Ambon City is nominated by a high hazard level with an area of 2,835,33 ha, this is because almost a large part of the population in Ambon City lives in coastal areas, this can increase the risk of a tsunami disaster. The Ambon City Government plays an important role in disaster risk reduction efforts by continuously improving its adaptive capacity indicators and preparing for future disaster mitigation-based spatial planning.

Keywords


ambon, hazard, gis, tsunami, overlay

References


Abdullah, S., & Barua, D. (2022). Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip, Bangladesh. Ecological Engineering, 178, 106577. https://doi.org/https://doi.org/10.1016/j.ecoleng.2022.106577

Akbar, F. S., Vira, B. A., Doni, L. R., Putra, H. E., & Efriyanti, A. (2020). Aplikasi Metode Weighted Overlay untuk Pemetaan Zona Keterpaparan Permukiman Akibat Tsunami (Studi Kasus: Kota Bengkulu dan Kabupaten Bengkulu Tengah). Jurnal Geosains Dan Remote Sensing, 1(1), 43–51. https://doi.org/10.23960/jgrs.2020.v1i1.17

AlFanatseh, A. (2021). Land suitability analysis of urban development in the Aqaba area, Jordan, using a GIS-based analytic hierarchy process. GeoJournal. https://doi.org/10.1007/s10708-021-10488-1

BNPB. (2021). Dokumen Kajian Risiko Bencana Kota Ambon Tahun 2017-2021.

Dewi, P. U., Oktaviana, Wahdini, M., Prasiamratri, N., Alghifarry, M. B., & Utami, N. A. (2020). Aplikasi SIG Untuk Pemetaan Zona Tingkat Bahaya Dan Keterpaparan Pemukiman Terhadap Tsunami Kota Denpasar. Jurnal Geosains Dan Remote Sensing, 1(2), 80–88. https://doi.org/10.23960/jgrs.2020.v1i2.28

Fuad, M. A. Z., Effendi, V. R., & Dewi, C. S. U. (2022). Application Of Sar Remote Sensing And Geographic Information Systems (GIS) in Coastline Change Studies–A Case Study Of Coastline Change Due To The 2018 Tsunami In Tanjung Lesung, Banten. Asian Journal of Aquatic Sciences, 5(1), 87–98.

Georg Everhard Rumphius. (1675). History of the Terrible Earthquake that Took Place Recently, and Some Time Before, but Principally on February 17, 1674 in and around the Island of Amboina.

Luo, J., Xing, X., Wu, Y., Zhang, W., & Chen, R. S. (2018). Spatio-temporal analysis on built-up land expansion and population growth in the Yangtze River Delta Region, China: From a coordination perspective. Applied Geography, 96, 98–108. https://doi.org/https://doi.org/10.1016/j.apgeog.2018.05.012

MacDonald, R. (2005). How Women Were Affected by the Tsunami: A Perspective from Oxfam. PLoS

Medicine, 2(6), e178. https://doi.org/10.1371/journal.pmed.0020178

Meilianda, E., Pradhan, B., Syamsidik, Comfort, L. K., Alfian, D., Juanda, R., Syahreza, S., & Munadi, K.

(2019). Assessment of post-tsunami disaster land use/land cover change and potential impact of future sea-level rise to low-lying coastal areas: A case study of Banda Aceh coast of Indonesia. International Journal of Disaster Risk Reduction, 41, 101292. https://doi.org/https://doi.org/10.1016/j.ijdrr.2019.101292

Pranantyo, I. R., & Cummins, P. R. (2020). The 1674 Ambon Tsunami: Extreme Run-Up Caused by an Earthquake-Triggered Landslide. Pure and Applied Geophysics, 177(3), 1639–1657. https://doi.org/10.1007/s00024-019-02390-2

Rohadi, S., Perdana, Y. H., Herayndoko, N., Sunardi, B., Prakoso, T. A., Suliyanti, Sunardi, Florida, N., Edison, R., & Karnawati, D. (2021). The M 6.5 Ambon earthquake 26 September 2019: the source mechanism and the aftershock sequence characteristics. IOP Conference Series: Earth and Environmental Science, 873(1), 12013. https://doi.org/10.1088/1755-1315/873/1/012013

Solovʹev, S. L. (1974). Catalogue of Tsunamis on the Western Shore of the Pacific Ocean. Institute of Oceanic Sciences.

Susiloningtyas, D., & AA Lesy, S. (2021). Dynamic System Model of Land Use Affected by Sea Level Rise in the Coastal Area of Bengkulu City, Indonesia. Journal of Hunan University Natural Sciences, 48(4).

Wulandari, R., Supriatna, & Latif Indra, T. (2019). A simulation model for urban development in Bandar Lampung City, Lampung, Indonesia. IOP Conference Series: Earth and Environmental Science, 248, 012090. https://doi.org/10.1088/1755-1315/248/1/012090


DOI: http://dx.doi.org/10.31314/jsig.v5i1.1433

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