Gempa bumi tektonik memiliki beberapa fase dalam satu cycle, salah satunya adalah fase post-seismic atau fase setelah gempa bumi tektonik terjadi. Gempa bumi tektonik dapat terjadi di daerah zona subduksi lempeng tektonik. Pada tanggal 10 Juli 2013, terjadi gempa tektonik di Segmen Mentawai sebagai akibat dari aktivitas tektonik Lempeng Eurasia dan Lempeng Indo-Australia. Meskipun tidak menimbulkan korban jiwa, namun pemantauan aktivitas tektonik di Segmen Mentawai perlu dilakukan. Penelitian ini bertujuan untuk melakukan pemantauan aktivitas tektonik Segmen Mentawai setelah gempa bumi pada tanggal 10 Juli 2013. Penelitian dilakukan dengan menggunakan data pengamatan stasiun pantau kontinyu di sekitar Segmen Mentawai. Analisis aktivitas tektonik dilakukan dengan analisis deformasi fase post-seismic gempa bumi 10 Juli 2013. Hasil analisis menunjukkan bahwa stasiun pantau Segmen Mentawai mengalami deformasi pada fase post-seismic 10 Juli 2013.
Many factors led to dam construction failure so that deformation monitoring activities is needed in the area of the dam. Deformation monitoring is performed in order to detect a displacement at the control points of the dam. Jatigede Dam deformation monitoring system has been installed and started to operate, but there has been no evaluation of the geometry quality of control networks treated with IGS points for GNSS networks processing. Therefore, this study aims to evaluate the geometric quality of GNSS control networks on deformation monitoring of Jatigede Dam area. This research data includes the GNSS measurements of five CORS Jatigede Dam stations (R01, GG01, GCP04, GCP06, and GCP08) at doy 233 with network configuration scenarios of 12 IGS points on two quadrants (jat1), three quadrants (jat2), and four quadrants (jat3 and jat4). GNSS networks processing was done by GAMIT to obtain baseline vectors, followed by network processing usingparameter method of least squares adjustment. Networks processing with least squares adjustment aims to determine the most optimal by precision and reliability criterion. Results of this study indicate that network configuration with 12 IGS stations in the two quadrants provides the most accurate coordinates of CORS dam stations. Standard deviations value of CORS station given by jat1 configuration are in the range of 2.7 up to 4.1 cm in X-Z components, whereas standard deviations in the Y component are in the range 5.8 up to 6.9 cm. An optimization assessment based on network strength, precision, and reliability factors shows optimum configuration by jat1.
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