Application of 2D spatial imaging method for identification of a fault lines and subsurface landslide at “Taman Unnes”, Semarang, Indonesia


Lashari, - and Rini Kusumawardani, FT Teknik Sipil and Togani Cahyadi Upomo, - and Supriyadi, - and Ajiwirani Mugiayulhaq, - (2019) Application of 2D spatial imaging method for identification of a fault lines and subsurface landslide at “Taman Unnes”, Semarang, Indonesia. In: SCESCM 2018.

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Abstract

In the last five years, landslide occurred many times in this area. The worst landslide was in 2014, which destroyed many houses and infrastructure such as road, water supply utilities and electricity. This study proposed an identification of landslide method by using of geo electricity as subsurface investigation of landslide. This study aims to identify the type of landslide and slip surface potential by using emergence of 2D spatial imaging. The application of geophysical has not been used as a result of landslide identification. The well-known argument state that geophysical is the only way to make images on the type and rock by using resistivity. The geological and soil physical properties required by engineers to analyse landslide potential are not well presented. As a consequence, the solution of soil reinforcement on landslide prone area to minimize the risk is presented as an engineering judgment of problem solving. Therefore, this paper discusses about soil properties and imaging to identify the area affected by future landslide. By using a multi-electrode electrical array, the 2D geophysical imaging was used to investigate the complex structure of soil stratigraphy and geological properties. The results showed that the area of the study was shown as a stable area with andesite intrusion. In addition, some areas were suspected as landslide prone area which was indicated resources by saturated clay of soil beneath.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Fakultas: Fakultas Teknik > Teknik Sipil, S1
Depositing User: mahargjo hapsoro adi
Date Deposited: 24 Nov 2022 07:02
Last Modified: 05 Jun 2023 04:31
URI: http://lib.unnes.ac.id/id/eprint/53475

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