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Analysis of landslide area of Tulung subdistrict, Ponorogo, Indonesia in 2017 using resistivity method

Author(s):




Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment, , n. 4, v. 9
Page(s): 341-360
DOI: 10.1108/sasbe-06-2019-0082
Abstract:

Purpose

Research has been conducted to analyze the landslide in Banaran area, Ponorogo Regency. The landslides occurred on April 1, 2017. This study was conducted to know the subsurface conditions in the Banaran area to analyze the disaster mitigation efforts. The mitigation efforts are made to reduce the risk from landslides and possible landslides.

Design/methodology/approach

The method used is the geo-electric resistivity method of Wenner–Schlumberger configuration. The research was conducted in three villages namely Banaran Village, Bekirang Village and Mendak Village.

Findings

There are 12 resistivity measuring points with a track length of 410 m and a space of 10 m. The measured resistivity range is between 1.42 Ω.m and 67.500 Ω.m. The resistivity data and the local geological maps interpreted that the rocks in the Banaran area consist of clay, tuff lapilli, volcanic breccia and andesite lava. The landslide area begins at a depth of 8–35 m below the surface which is interpreted as tuff. Also, the thickness of the landslide material and the slope is = 400 which supports the occurrence of a more prominent landslide. The results of the parameter scoring of the landslide-prone areas indicated that the research area is very vulnerable to a landslide. The results of the interpretation indicate that the geo-electric resistivity method can provide a good overview for conducting landslide analysis, that is field slippage and potential material thickness occurrence landslide.

Originality/value

This article is very specific as it attempts to discover how prone Banaran are is to landslide.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/sasbe-06-2019-0082.
  • About this
    data sheet
  • Reference-ID
    10779835
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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