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Predictive Modeling of Terrestrial Water Storage Anomalies in Kalimantan Basins: Bridging the GRACE and GRACE-FO Data Gap with Extreme Gradient Boosting Safira, Rizka Amelia Dwi; Anjasmara, Ira Mutiara; Awange, Joseph L.
GEOID Vol. 19 No. 3 (2024)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v19i3.2329

Abstract

Terrestrial water storage (TWS) anomaly has been a robust indicator in predicting and monitoring hydrometeorological hazards and sustainable water resources management to comprehend the water dynamics on Earth. The Gravity Recovery and Climate Experiment (GRACE) satellite identifies this change by heeding the Earth’s mass anomalies since 2002. However, due to an 11-month data gap before the operation of GRACE-FO, continuous investigation using GRACE has been challenging. This study employed an extreme gradient boosting (XGBoost) algorithm to reconstruct GRACE TWS anomaly by integrating the hydroclimatic variables from Noah surface models over a span of approximately 20 years, focusing on five Kalimantan basins. The testing set was evaluated using three statistical metrics, resulting in a correlation coefficient (CC) of 0.943, Nash–Sutcliffe efficiency (NSE) of 0.887, and scaled root-mean-square error (RMSE*) of 0.337. This approach effectively addresses the research gap in utilizing the GRACE product in an archipelago state such as Indonesia and offers an efficient method for reconstructing TWS anomalies for various hydrological systems at the local scale.
Fault Identification Using Satellite Imagery, Gravity, and Seismicity Data on Lombok Island Aryanto, Muhammad; Anjasmara, Ira Mutiara; Maulida, Putra
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12533

Abstract

Lombok Island has a high level of earthquake vulnerability due to local tectonic activities. Although most earthquakes on land have small magnitudes (M < 5), their proximity to settlements has the potential to cause significant impacts. This study aims to identify the potential for active faults using a multi-data approach, specifically utilizing gravity anomaly data from GGMplus. In addition, Sentinel-1 data is used for surface lineament extraction and DEMNAS for topography. Analysis of gravity data utilizing GGMPlus reveals that the Batujahe Fault exhibits thrust faulting characteristics, whereas the South Lombok Fault displays normal faulting behavior. Automated lineament extraction yielded a total of 54 surface structural lineaments within the study area, spanning a cumulative length of 478 km. These results provide a shorter fault length than the existing fault map. Statistical analysis of the extracted lineaments revealed three dominant trends: N-S, NE-SW, and NW-SE, with the N-S trend being the most predominant. Notably, these findings diverge from prior studies, which classified the Batujahe Fault as a strike-slip fault and the South Lombok Fault as a thrust fault, underscoring the complexities of fault dynamics in the region, however derivative methods fail to detect the Alas Strait strike-slip fault.