Identifikasi Karakteristik Spasio-Temporal Hujan Ekstrem di Tanjungpinang Menggunakan Google Earth Engine (GEE)

Dian Kharisma Dewi, Sigit Sutikno, Lita Darmayanti


In early January 2021, Tanjungpinang was hit by floods due to extreme rainfall intensity, causing the affected communities to suffer material and non-material losses. The flood has occurred from 2011 to 2021. To minimize the impact of flood events, it is necessary to study the characteristics of rainfall both temporally and spatially. This is considered important because with this information the public can anticipate the impact of extreme rainfall at a certain time and location. This study aims to identify the Spatio-temporal characteristics of extreme rainfall in Tanjungpinang City which often causes floods. However, to identify the characteristics of rainfall, long data is needed. This study uses CHIRPS (Climate Hazards InfraRed Precipitation with Station) satellite data because the rainfall observation data at the Raja Haji Fisabilillah station is not available for 2012. The identification results show that the correlation criterion (R) value between rainfall observation data and CHIRPS satellite data is 0.688. This value is interpreted as "strong" to be used as an alternative study data. GEE (Google Earth Engine) as a cloud-based platform is used to identify the spatial and temporal characteristics of extreme rainfall. From the results of temporal identification, it is known that extreme rainfall occurs in January, April, and December. The results of spatial identification indicate that the area that has the highest average maximum rainfalls at the Bukit Bestari District area of 156.60 mm/day. This can then be confirmed by looking at the documentation of flood events that often occur in the area.

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Abdellatif, Mawada, William Atherton, and Rafid Alkhaddar. 2012. “Climate Change Impacts on the Extreme Rainfall for Selected Sites in North Western England.” Open Journal of Modern Hydrology 02(03):49–58. doi: 10.4236/ojmh.2012.23007.

Andriawan, Aan. 2021. “Kajian Hidrologi Pada Sistem Pengendalian Banjir.” 07:1–7.

Cavalcante, Rosane Barbosa Lopes, Douglas Batista da Silva Ferreira, Paulo Rógenes Monteiro Pontes, Renata Gonçalves Tedeschi, Cláudia Priscila Wanzeler da Costa, and Everaldo Barreiros de Souza. 2020. “Evaluation of Extreme Rainfall Indices from CHIRPS Precipitation Estimates over the Brazilian Amazonia.” Atmospheric Research 238(January):104879. doi: 10.1016/j.atmosres.2020.104879.

Fadholi, Akhmad, and Rizki Adzani. 2018. “Analisis Frekuensi Curah HUjan Ekstrem Kepulauan Bangka Belitung Berbasis Data Climate Hazard Group Infra-Red Precipitation With Station (CHIRPS).” Jurnal Pendidikan Geografi 18(1):22–32.

Funk, C. C., P. J. Peterson, M. F. Landsfeld, D. H. Pedreros, J. P. Verdin, J. D. Rowland, B. E. Romero, G. J. Husak, J. C. Michaelsen, and A. P. Verdin. 2014. “A Quasi-Global Precipitation Time Series for Drought Monitoring.” U.S. Geological Survey Data Series 832(January):4. doi: 10.3133/ds832.

Jarwanti, Dieta Putri, Ery Suhartanto, and Jadfan Sidqi Fidari. 2021. “Validasi Data Curah Hujan Satelit TRMM (Tropical Rainfall Measuring Mission) Dengan Data Pos Penakar Hujan Di DAS Grindulu, Kabupaten Pacitan, Jawa Timur.” Jurnal Teknologi Dan Rekayasa Sumber Daya Air 1(2):772–85. doi: 10.21776/ub.jtresda.2021.001.02.36.

Katsanos, Dimitrios, Adrianos Retalis, and Silas Michaelides. 2016. “Validation of a High-Resolution Precipitation Database (CHIRPS) over Cyprus for a 30-Year Period.” Atmospheric Research 169:459–64. doi: 10.1016/j.atmosres.2015.05.015.

Moharrami, Meysam, Mohammad Javanbakht, and Sara Attarchi. 2021. “Automatic Flood Detection Using Sentinel-1 Images on the Google Earth Engine.” Environmental Monitoring and Assessment 193(5). doi: 10.1007/s10661-021-09037-7.

Sutikno, Sigit, Manyuk Fauzi, and Hamiduddin. 2014. “Pemodelan Hidrologi Hujan-Aliran Dengan Menggunakan Data Satelit.” Seminar Nasional Teknik Sipil X-2014 (February 2014):721. doi: 10.13140/RG.2.1.3991.5046.

Tamiminia, Haifa, Bahram Salehi, Masoud Mahdianpari, Lindi Quackenbush, Sarina Adeli, and Brian Brisco. 2020. “Google Earth Engine for Geo-Big Data Applications: A Meta-Analysis and Systematic Review.” ISPRS Journal of Photogrammetry and Remote Sensing 164(May):152–70. doi: 10.1016/j.isprsjprs.2020.04.001.



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