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Harman Amir
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Georest: Geoscience, Remote Sensing, and Technology

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Analysis of Extreme Rainfall in Padang Using GSMaP Satellite Imagery: Case Study of the July 2023 Flood : Approach Using GSMaP Satellite Data Rozi, Hanifsyah; Razi, Pakhrur; Amir, Harman; Sudiar, Nofi Yendri; Rinadi, Aulia
Georest Vol. 2 No. 2 (2024): Georest (In Press)
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i2.32

Abstract

Extreme rainfall is a major cause of major flooding in coastal areas, such as Padang, Indonesia. This study analyzes the extreme rainfall event that caused the Padang flood on July 14, 2023 using rainfall data from the Global Satellite Rainfall Mapping system (GSMaP). The aim is to evaluate the spatial and temporal distribution of rainfall during the event and assess the accuracy of GSMaP satellite imagery in capturing the heavy rainfall that caused the flooding. GSMaP satellite data were processed to examine the intensity and distribution of rainfall from July 13, 2023 to July 14, 2023. The analysis showed that rainfall occurred evenly over the entire Padang area, with a peak rainfall intensity of 20-99 mm/day on July 13 and a much higher intensity of 145-434 mm/day on July 14, as recorded by ground-based rain stations. The peak rainfall on the first day occurred at 14:00 UTC, and on the second day at 00:00 UTC. Although GSMaP effectively captured the large-scale rainfall pattern, differences were seen in the local intensity. This continuous rainfall causes severe waterlogging, which then escalates into flooding, which is classified as extreme rainfall. These findings demonstrate the utility of GSMaP in monitoring extreme rainfall, especially in areas with limited ground-based observation infrastructure, and emphasize the role of satellite data in improving early warning systems and flood management strategies in flood-prone areas such as Padang.
Co-Authors - Afrizal - Hamdi Aditio, Rama Aflah Zaharo Akmam Akmam Amali Putra Amirullah, Fajar Fikri Anzuye, Ivo Jihan Aprimanda Mulya Rizki, Rifa Ari Nuryadi Asrizal Asrizal Aulia Fitri Bana, Vrielsha Bavitra, Bavitra Chyntia Arman Daya, Ellen Kurniawati Denandra, Alza Desi Anriani Dwina Melisa Fadhila Ulfa Jhora Fajri, Mukhlis Surito Fatni Mufit Fauziah Fauziah Fitri, Leni Fitri, Mutiara Nurul Fuja Novitra Hamdi , Hamdi Hamdi Hamdi Hamdi Hamdi Hamdi Rifai Handayani, Silvia Sri Hayyu Yumna Hermanda, Richi Junia Hidayati Hidayati Hidayati Hidayati Hufri Hufri Iing Pebrika Janna, Anisa Juliana Dekriani Letmi Dwiridal Letmi Dwiridal Madinah, Nur Magribi, Fatin Mahrizal Mahrizal Mairizwan, Mairizwan Masril Masril Maulida, Yulia Mia Azhari Miftahul Arrazi Mona Trisna Cahyati Muhammad Hafiz Mulyadi, Endri Murtiani Murtiani Mutiara Novichri, Viona Nabila, Yafiatul Nanda, Popi Nira Aslinda Nofi Yendri Sudiar Pakhrur Razi Pramita Syafrina Putri, Shinta Maharani Rahmat Hidayat Ratnawulan Ratnawulan . Rifqa Hayati Rinadi, Aulia Riri Jonuarti Risky Wahyuni Riyasni, Selma Rozi, Hanifsyah Saint Saputra Salsabila, Salsabila Saqilah, Alya Sari, Mona Berlian Sari, Reza Novita Sendi Mutia Solly Aryza Sovia Marsilin Suci Khairani Suherman, Dea Stivani Sumanti, Syahputri Syaflita, Dina Syafriani Syafriani Syafriani, Syafriani Syafriani, - Syerly Kumala Vera Yunita Wardatul Fajriyaty Wulandari, Mia Yelvi Elia Yendri Sudiar, Nofi Yenni Darvina Yosi Elsa Wahyuny Yulkifli Yulkifli Zatil Ismah, Amirah Zikri, Ahmad Raihan Zulhendra Zulhendra Zulhendra Zulhendra Zulhendra, Zulhendra