"SPATIAL PATTERN OF TROPICAL CYCLONE" by Agus Salim Nur, Adi Wibowo et al.
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Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Abstract

Tropical cyclones are one of the most destructive weather phenomena because they pose three main dangers: heavy rainfall, strong winds, and storm surge. The occurrence of tropical cyclones is expected to increase both in terms of intensity and geographical spread due to climate change. Indonesia, located around the equator with a low Coriolis force, was previously considered safe from tropical cyclones. This study aims to examine the spatial pattern of tropical cyclones in the southern part of Indonesia during the period from 1990 to 2023 to understand the extent to which tropical cyclones can occur near the equator. The analysis of tropical cyclone data was conducted using satellite imagery and the Dvorak analysis method. The dates and positions (latitude and longitude) were extracted using GIS. The results show that the spatial pattern of tropical cyclones in southern Indonesia between 1990 and 2023 indicates that cyclones are more prevalent in the eastern region of Indonesia (Indian Ocean south of Nusa Tenggara, Timor Sea, Sawu Sea, Arafura Sea, and the Gulf of Carpentaria). Out of a total of 217 tropical cyclones in southern Indonesia, 113 (52%) formed in the eastern region, while 104 (48%) developed in the western region (Indian Ocean southwest of Sumatra to south of Bali). Of the 217 tropical cyclones that formed in southern Indonesia, 44 occurred at latitudes ≤ 11° S, or within Indonesian territory, with 29 (66%) forming in the western region and 15 (34%) in the eastern region of Indonesia. The results conclude that the spatial pattern of tropical cyclones has been updated compared to the previous theory, which stated that Indonesia was a cyclone-free zone due to its location less than 10° from the equator.

Bahasa Abstract

Siklon tropis merupakan salah satu fenomena cuaca yang paling merusak karena menimbulkan tiga bahaya utama: hujan lebat, angin kencang, dan gelombang badai. Kejadian siklon tropis diperkirakan akan meningkat baik dari segi intensitas maupun sebaran geografis akibat perubahan iklim. Indonesia yang terletak di sekitar garis khatulistiwa dengan gaya Coriolis yang rendah sebelumnya dianggap aman dari siklon tropis. Penelitian ini bertujuan untuk mengkaji pola spasial siklon tropis di wilayah Indonesia bagian selatan selama kurun waktu 1990 hingga 2023 untuk memahami sejauh mana siklon tropis dapat terjadi di dekat garis khatulistiwa. Analisis data siklon tropis dilakukan dengan menggunakan citra satelit dan metode analisis Dvorak. Tanggal dan posisi (lintang dan bujur) diekstraksi menggunakan SIG. Hasil penelitian menunjukkan bahwa pola spasial siklon tropis di Indonesia bagian selatan antara tahun 1990 dan 2023 menunjukkan bahwa siklon lebih banyak terjadi di wilayah timur Indonesia (Samudra Hindia selatan Nusa Tenggara, Laut Timor, Laut Sawu, Laut Arafura, dan Teluk Carpentaria). Dari total 217 siklon tropis di Indonesia bagian selatan, 113 (52%) terbentuk di wilayah timur, sedangkan 104 (48%) berkembang di wilayah barat (Samudra Hindia barat daya Sumatera hingga selatan Bali). Dari 217 siklon tropis yang terbentuk di Indonesia bagian selatan, 44 terjadi pada lintang ≤ 11° LS, atau di dalam wilayah Indonesia, dengan 29 (66%) terbentuk di wilayah barat dan 15 (34%) di wilayah timur Indonesia. Hasil penelitian menyimpulkan bahwa pola spasial siklon tropis telah diperbarui dibandingkan dengan teori sebelumnya, yang menyatakan bahwa Indonesia merupakan zona bebas siklon karena letaknya kurang dari 10° dari ekuator.

References

Ghosh, I., & Chakravarty, N. (2018). Tropical cyclone: expressions for velocity components and stability parameter. Natural Hazards, 94(3), 1293–1304.

Hoque, M.A., Pradhan, B., Ahmed, N., & Roy, S. (2019). Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh. Science of the Total Environment 692 (2019) 10–22.

Kohno, N., Fritz, C., Sharma, M., Berg, R., Greenslade, D., Telford, D., ... & Uson, M. C. C. (2024). Forecasting tropical cyclone coastal and marine hazards and impacts. Tropical Cyclone Research and Review, 13(1), 1-14.

Kunze, S. (2021). Unraveling the effects of tropical cyclones on economic sectors worldwide: Direct and indirect impacts. Environmental and Resource Economics, 78(4), 545-569.

Lian, J., Li, J., Xu, K., & Bin, L. (2024). The impact of tropical cyclones and water conservancy projects on island’s flash floods. Environmental Science and Pollution Research, 1-16.

Matin, N., Sakib, M. E. H., & Hasan, G. M. (2024). Vulnerability assessment of tropical cyclones and deep depressions: an index-based spatio-temporal assessment along the coastal zones of Bangladesh. Natural Hazards, 1-22.

Ningsih, N. S., Hanifah, F., Tanjung, T. S., Yani, L. F., & Azhar, M. A. (2020). The Effect of Tropical Cyclone Nicholas (11–20 February 2008) on sea level anomalies in Indonesian waters. Journal of Marine Science and Engineering, 8(11), 948.

Patwary, M. M., Bardhan, M., Haque, M. A., Moniruzzaman, S., Gustavsson, J., Khan, M. M. H., ... & Islam, M. A. (2024). Impact of extreme weather events on mental health in South and Southeast Asia: a two decades of systematic review of observational studies. Environmental research, 118436.

Sandy, I. M. (1987). Iklim Regional Indinesia, Jurusan Geografi FMIPA-Universitas Indonesia, Jakarta

Swain, D. (2022). Tropical cyclones and coastal vulnerability: assessment and mitigation. Geospatial technologies for land and water resources management, 587-621.

Syaifullah, M. D. (2015). Siklon tropis, karasteristik dan pengaruhnya di wilayah Indonesia pada tahun 2012. Jurnal Sains & Teknologi Modifikasi Cuaca, 16(2), 61-â.

WMO. (2017). Global guide to tropical cyclone forecasting. Geneva, WMO-No 1194

Yulihastin, E., Taofiqurohman, A., Fathrio, I., Nauval, F., Andarini, D. F., Hatmaja, R. B., ... & Ratnawati, H. I. (2023). Evolution of double vortices induce tropical cyclogenesis of Seroja over Flores, Indonesia. Natural Hazards, 117(3), 2675-2692.

Zhang, C., Zhao, P., Huang, Z., He, Z., Niu, Y., Huang, G., & Chen, Y. (2024). Assessing vessel transportation delays affected by tropical cyclones using AIS data and a bayesian network: A case study of veronica in northwestern Australia. Ocean Engineering, 308, 118385.

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