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Syarifatul Ulfah
Department Of Physics, Universitas Andalas, Limau Manis, Padang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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Analysis Vulnerability Disaster of Landslide in Lantan Village Using Geoelectric Data and Sentinel Image Syarifatul Ulfah; Marzuki Marzuki; Adi Susilo
Jurnal Penelitian Pendidikan IPA Vol. 7 No. 4 (2021): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v7i4.915

Abstract

The vulnerability of landslides in Lantan Village, North Batukliang District, Central Lombok Regency has been analyzed using geoelectric data, rainfall, soil movement, and topographic slope. Resistivity data was acquired by the G-Sound resistivity meter using the dipole dipole configuration method and visualized using the RockWorks15 software. We also used rainfall data and ground movement data.  The ground movement was estimated from Sentinel-1A satellite data, processed using the DInSAR (Differential Interferometry Synthetic Aperture Radar) method. The slope data was obtained based on the topographic slope map of the Central Lombok Regency. The results showed that the slip surface was indicated to be located in silt clay with sand and the direction of the landslide in the study area was to the northwest with the type of landslide that might occur was a type A translational landslide. The depth of the slip surface varies from 1.5 m to 21.5 m.  The average monthly rainfall varies from low to high (<100 – 300 mm) with a monsoon rain pattern. Land movement in the form of land subsidence was observed at a rate of -0.27 to -0.30 cm/year during 2018 - 2020, with average land subsidence of -0.285 cm/year. The potential for landslides is also seen from the slope value of 40°, which is categorized as very steep. With all these conditions, the level of vulnerability to landslides in Lantan Village is high, and hopefully, the results of this study can be a reference for related parties in making efforts to minimize the impact of this disaster.
Ground Validation of GPM IMERG-F Precipitation Products with the Point Rain Gauge Records on the Extreme Rainfall Over a Mountainous Area of Sumatra Island Ravidho Ramadhan; Marzuki Marzuki; Helmi Yusnaini; Ayu Putri Ningsih; Hiroyuki Hashiguchi; Toyoshi Shimomai; Mutya Vonnisa; Syarifatul Ulfah; Wiwit Suryanto; Sholihun Sholihun
Jurnal Penelitian Pendidikan IPA Vol. 8 No. 1 (2022): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v8i1.1155

Abstract

Accurate satellite precipitation estimates over areas of complex topography are still challenging, while such accuracy is of importance to the adoption of satellite data for hydrological applications. This study evaluated the ability of Integrated Multi-satellitE Retrievals for GPM -Final (IMERG) V06 product to observe the extreme rainfall over a mountainous area of Sumatra Island. Fifteen years of optical rain gauge (ORG) observation at Kototabang, West Sumatra, Indonesia (100.32°E, 0.20°S, 865 m above sea level), were used as reference surface measurement. The performance of IMERG-F was evaluated using 13 extreme rain indexes formulated by the Expert Team on Climate Change Detection and Indices (ETCCDI). The IMERG-F overestimated the values of all precipitation amount-based indices (PRCPTOT, R85P, R95P, and R99P), three precipitation frequency-based indices (R1mm, R10mm, R20mm), one precipitation duration-based indices (CWD), and one precipitation intensity-based indices (RX5day). Furthermore, the IMERG-F underestimated the values of precipitation frequency-based indices (R50mm), one precipitation duration-based indices (CDD), one precipitation intensity-based indices (SDII). In terms of correlation, only five indexes have a correlation coefficient (R) > 0.5, consistent with Kling–Gupta Efficiency (KGE) value. These results confirm the need to improve the accuracy of the IMERG-F data in mountainous areas.
Co-Authors Adi Susilo Ayu Putri Ningsih Helmi Yusnaini Hiroyuki Hashiguchi Marzuki Marzuki Mutya Vonnisa Ravidho Ramadhan Sholihun, Sholihun Suryanto, Wiwit Toyoshi Shimomai