{"title":"IDENTIFIKASI BIDANG GELINCIR PADA DAERAH RAWAN LONGSOR DESA SRIMARTANI, YOGYAKARTA","authors":"Muhammad Faizal Zakaria, S. Maisarah","doi":"10.23960/jge.v5i3.36","DOIUrl":null,"url":null,"abstract":"Landslides are one of the disasters that often occur in Srimartani Village, Piyungan District, Yogyakarta. The biggest cause of landslides is the steep slope and the existence of a sliding plane on the slope. This study aims to identify the sliding plane on the slopes in Srimartani Village. This research was conducted using geoelectric method Wenner configuration with a: 10 m and n: 6. The data acquisition was taken in 6 lines. Data processing was done using Res2Dinv software and the result is a 2D true resistivity cross section. The results of the interpretation of the six lines indicate the existence of a sliding plane which is characterized by low resistivity contrast at the bottom and higher resistivity near the surface. Low resistivity (10 Ωm) is identified as clay rock and high resistivity ( 10 Ωm) above is identified as surface soil.","PeriodicalId":34835,"journal":{"name":"JGE","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JGE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23960/jge.v5i3.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Landslides are one of the disasters that often occur in Srimartani Village, Piyungan District, Yogyakarta. The biggest cause of landslides is the steep slope and the existence of a sliding plane on the slope. This study aims to identify the sliding plane on the slopes in Srimartani Village. This research was conducted using geoelectric method Wenner configuration with a: 10 m and n: 6. The data acquisition was taken in 6 lines. Data processing was done using Res2Dinv software and the result is a 2D true resistivity cross section. The results of the interpretation of the six lines indicate the existence of a sliding plane which is characterized by low resistivity contrast at the bottom and higher resistivity near the surface. Low resistivity (10 Ωm) is identified as clay rock and high resistivity ( 10 Ωm) above is identified as surface soil.