Hanifsyah Rozi, Pakhrur Razi Identification of Extreme Rainfall in Padang Based on Weather Radar Imagery : Case Study Flood July 2023
Approach Using Weather Radar Data
DOI:
https://doi.org/10.57265/georest.v2i1.27Keywords:
Rainfall, Flood, Padang, Weather Radar Imagery, Region Rain PostAbstract
Extreme rainfall combined with high impact weather frequently happens in the Padang city region, resulting in flooding, damaging livelihoods, and endangering lives and the environment. Consequently, the detection of intense precipitation patterns like convective cloud development, cloud distribution patterns, as well as the time and duration of rainfall needs to be analyzed to improve disaster mitigation and research development, especially in the Padang city area. In this study we processed gematronic brand weather radar data with volumetric format to produce several weather radar products to identify extreme rainfall that causes flooding. Based on our identification, the rain on July 13 to 14, 2023 has occurred from noon to early morning, detected convective clouds with reflectivity values reaching 55-60 dBZ which indicates light rain to extreme rain, with peak rain occurring in the afternoon and evening. Identifying the pattern and duration of extreme rainfall allows for better planning and risk mitigation measures.
References
E. Yanfatriani, R. Ramadhan, and Marzuki, “Trends and correlations of extreme rainfall and hydrometeorological disasters in Padang from 2008 to 2020,” AIP Conf. Proc., vol. 3116, no. 1, 2024, doi: 10.1063/5.0210158.
N. V. Senior et al., “Extreme precipitation at Padang, Sumatra triggered by convectively coupled Kelvin waves,” Q. J. R. Meteorol. Soc., vol. 149, no. 755, pp. 2281–2300, 2023, doi: 10.1002/qj.4506.
P. Razi, J. T. S. Sumantyo, F. Febriany, M. Nasucha, and J. Aminuddin, “Interferometry Synthetic Aperture Radar (InSAR) Application for Flood Area Detection Observed by Sentinel 1A,” Prog. Electromagn. Res. Symp., vol. 2018-Augus, no. January, pp. 905–909, 2018, doi: 10.23919/PIERS.2018.8598154.
N. Jumianti, M. Marzuki, W. Harjupa, Risyanto, and M. F. Putranto, “Prediction of Extreme Rainfall of September 9, 2020 in Padang City Based on Clouds Brightness Temperature Difference from Himawari-8 Satellite Data,” Springer Proc. Phys., vol. 275, no. September, pp. 771–787, 2022, doi: 10.1007/978-981-19-0308-3_61.
Nababan, M., & Tjasyono, B. (2016). Studi kejadian bencana banjir berdasarkan karakteristik awan dan hujan di wilayah Jakarta (Studi kasus 17 Januari 2014 ). Jurnal Meteorologi Klimatologi Dan Geofisika, 3(1), 15–23.
Adi, S. (2013). Karakterisasi Bencana Banjir Bandang di Indonesia. Jurnal Sains dan Teknologi Indonesia, 15, 42-51.
P. Razi, J. T. S. Sumantyo, D. Perissin, and Y. Yulkifli, “Potential Landslide Detection in Kelok Sembilan Flyover Using SAR Interferometry,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 11, no. 2, pp. 720–728, 2021, doi: 10.18517/ijaseit.11.2.13767.
Putri Yuliana, & Pakhrur Razi. (2022). Mapping Coastline Changes In The Mentawai Islands Using Remote Sensing. Georest, 1(1), 1–6. https://doi.org/10.57265/georest.v1i1.2
M. Putra, M. S. Rosid, and D. Handoko, “Rainfall Estimation Using Machine Learning Approaches with Raingauge, Radar, and Satellite Data,” Proc. Int. Conf. Electr. Eng. Informatics, vol. 2022-Septe, no. September 2022, pp. 25–30, 2022, doi: 10.1109/ICELTICs56128.2022.9932109.
A. Kurniawan, “Evaluasi Pengukuran Curah Hujan Antara Hasil Pengukuran Permukaan (AWS, HELLMAN, OBS) dan Hasil Estimasi (Citra Satelit =GSMaP) Di Stasiun Klimatologi Mlati Tahun 2018,” J. Geogr. Edukasi dan Lingkung., vol. 4, no. 1, pp. 1–7, 2020, doi: 10.29405/jgel.v4i1.3797.
Z. Sokol, J. Szturc, J. Orellana-Alvear, J. Popová, A. Jurczyk, and R. Célleri, “The role of weather radar in rainfall estimation and its application in meteorological and hydrological modelling —A review,” Remote Sens., vol. 13, no. 3, pp. 1–38, 2021, doi: 10.3390/rs13030351.
J. A. I. Paski and D. S. Permana, “Using the c-band Doppler weather radar data to reconstruct extreme rainfall event on 11th March 2018 in Bangka island, Indonesia,” MATEC Web Conf., vol. 229, no. march, pp. 8–13, 2018, doi: 10.1051/matecconf/201822904013.
A. H. Al Habib, Y. W. Pradana, D. Pangestu, P. A. Winarso, and J. Sujana, “Kajian Pertumbuhan Awan Hujan Pada Saat Banjir Bandang Berbasis Citra Satelit Dan Citra Radar (Studi Kasus : Padang, 2 November 2018),” J. Meteorol. Klimatologi dan Geofis., vol. 6, no. 2, pp. 1–6, 2019, doi: 10.36754/jmkg.v6i2.117.
E. Aldrian and R. Dwi Susanto, “Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature,” Int. J. Climatol., vol. 23, no. 12, pp. 1435–1452, 2003, doi: 10.1002/joc.950.
Razi, P., Sri Sumantyo, J. T., Yulkifli, Widodo, J., Perissin, D., & Jefriza. (2020). Land deformation modelling of Taiwan earthquake using interferometry technique. Journal of Physics: Conference Series, 1481(1). https://doi.org/10.1088/1742-6596/1481/1/012009
Razi, P., Sumantyo, J. T. S., Ali, S., Aminuddin, J., Kurniawan, F., Putra, R. R., Octova, A., & Jefriza. (2021). 3D modelling using structure from motion technique for land observation in Kelok 9 flyover. Journal of Physics: Conference Series, 1876(1). https://doi.org/10.1088/1742-6596/1876/1/012026
N. Y. Sudiar, “Model Pembangkit Data Curah Hujan: Studi Kasus Stasiun Simpang Alai Kota Padang,” Sainstek J. Sains dan Teknol., vol. 7, no. 2, p. 167, 2016, doi: 10.31958/js.v7i2.137.
U. A. Femi and D. Ahmad, “Analisis Curah Hujan di Kota Padang dengan Menggunakan Rantai Markov,” J. Math. UNP, vol. 2, no. 4, pp. 45–50, 2019.
Susilowati and I. Sadad, “Analisa Karakteristik Curah Hujan di Kota Bandar Lampung,” J. Geod. Undip, vol. 7, no. 1, pp. 13–26, 2019.
Al Habib, A. H., Pradana, Y. W., Pangestu, D., Winarso, P. A., & Sujana, J. (2019). Kajian Pertumbuhan Awan Hujan Pada Saat Banjir Bandang Berbasis Citra Satelit Dan Citra Radar (Studi Kasus : Padang, 2 November 2018). Jurnal Meteorologi Klimatologi Dan Geofisika, 6(2), 1–6. https://doi.org/10.36754/jmkg.v6i2.117
Prasetyo, B., Pusparini, N., Irwandi, I., & Fitria, W. (2020). Aplikasi Radar Cuaca Untuk Identifikasi Fluktuasi Kondisi Cuaca Ekstrim (Studi Kasus: Banjir Di Kota Medan Tanggal 5 Oktober 2018). Jurnal Sains & Teknologi Modifikasi Cuaca, 20(1), 13–21. https://doi.org/10.29122/jstmc.v20i1.3901
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Georest

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Geo-Rest Journal provides open access to anyone so that the information and findings in these articles are useful for everyone. This journal's article content can be accessed and downloaded for free, free of charge, following the creative commons license used.
Geo-Rest: GeoScience, Remote Sensing and Technology is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.