Analysis DEM and Geological Observation Data for Study of the Potential Landslide National Street for Jantho - Lamno

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De Rose; citation_volume=38; citation_issue=4; citation_publication_date=2012/7/6; citation_pages=356-371; citation_doi=10.1002/esp.3283" /> <meta name="person" content="Muzakir Zainal, Muhammad Nabil, Didik Sugiyanto, Akmal Muhni, Muhammad Yanis" /> <meta name="description" content="Landslide is a natural disaster in Indonesia, especially in the Aceh province, with its geological complex, high rainfall, and topography. The high-intensity landslides have occurred in Jantho and Lamno, located in the Northern part of Aceh, with high development costs of road infrastructure. Therefore, it is necessary to map the potential of landslides along the Jantho – Lamno road as disaster mitigation in the future. The research uses a digital elevation model (DEM) that applies slope, aspect, hill shade, curvature, elevation and geological observation to study the landslide probability. The DEM analysis shows the distribution of terrain with varying elevations of 300 – 1,200 m.a.s.l and slope characteristics with 10 – 50 degrees variations. Apart from that, curvature and aspect analysis describe the direction of slope reduction, which is more dominant towards the side of public infrastructure. Analysis of the four data distributions shows that the south side area has a large landslide potential. On the other hand, slope data slices at four locations could interpret landslide potential well. Based on data processing, we conclude that comparing DEM and geological observations is considered effective as a fast and economical method of mapping landslide probability, especially in tropical areas and high topography that is difficult to access." /> <meta name="keywords" content="Digital Elevation Model, Jantho - Lamno, Landslides, Natural Hazard, Slope Analysis" /> <meta name="copyright" content="2024 Trans Tech Publications Ltd. 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Study of the Potential Landslide National Street for Jantho - Lamno</h1> </div> <div class="paper-statistics"> <div class="loading"> <i class="inline-icon download-and-visitor-statistics-icon"></i> <span class="normal-text" id="paperDownloadsAndVisitorsCount"></span> </div> </div> <div class="clearfix"></div> <div class="page-paper-title"> <div class="preview-block"> <img alt="Article Preview" width="128" height="180" src="/CTA.11.55/thumbnail.gif"> <div id="preview-button" data-url-preview-log="/Paper/PreviewImageLog?paperId=609141"> <i class="inline-icon preview-icon"></i> </div>  <div id="paper-preview-modal" class="modal fade"> <div class="modal-dialog" role="document"> <div class="popup-page-name underline-begin"> <div class="page-name-block-text">Article Preview</div> </div> <img alt="Article Preview" class="preview-image lazyload" data-src="/CTA.11.55/preview.gif"> <a data-dismiss="modal" title="Close" class="inline-icon close-icon"></a> </div> </div>  </div> <div class="abstract-block-description"> <h3 class="page-paper-first-header">Abstract:</h3> <p class="normal-text"> Landslide is a natural disaster in Indonesia, especially in the Aceh province, with its geological complex, high rainfall, and topography. The high-intensity landslides have occurred in Jantho and Lamno, located in the Northern part of Aceh, with high development costs of road infrastructure. Therefore, it is necessary to map the potential of landslides along the Jantho – Lamno road as disaster mitigation in the future. The research uses a digital elevation model (DEM) that applies slope, aspect, hill shade, curvature, elevation and geological observation to study the landslide probability. The DEM analysis shows the distribution of terrain with varying elevations of 300 – 1,200 m.a.s.l and slope characteristics with 10 – 50 degrees variations. Apart from that, curvature and aspect analysis describe the direction of slope reduction, which is more dominant towards the side of public infrastructure. Analysis of the four data distributions shows that the south side area has a large landslide potential. On the other hand, slope data slices at four locations could interpret landslide potential well. Based on data processing, we conclude that comparing DEM and geological observations is considered effective as a fast and economical method of mapping landslide probability, especially in tropical areas and high topography that is difficult to access. </p> </div> <div class="paper-access-buttons col-xs-12"> <div class="row"> <div class="sa-button-wrap"> <a id="sa-button" class="wayfinder-login d-flex sa-button" href="javascript:;"> <div class="sa-button-logo-wrap"> <i class="inline-icon sa-white"></i> </div> <div class="d-flex justify-content-center align-items-center sa-button-text text-truncate"> <div class="sa-button-text-primary text-truncate">Access through your institution</div> </div> </a> </div> <div class="title-button-pdf"> <button id="readPaperButton" data-url-read-paper-log="/Paper/ReadThePaperLog?paperId=609141" class="button button-160"> <span class="inline-element">Read The Paper</span> </button> </div> </div> <div class="row"> </div> </div> <div class="clearfix"></div> 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href="/author-papers/muzakir-zainal-2">Muzakir Zainal</a>*, <a href="/author-papers/muhammad-nabil">Muhammad Nabil</a>, <a href="/author-papers/didik-sugiyanto">Didik Sugiyanto</a>, <a href="/author-papers/akmal-muhni">Akmal Muhni</a>, <a href="/author-papers/muhammad-yanis-1">Muhammad Yanis</a> </div> </div> </div> </div> <div class="papers-block-info col-lg-12"> <div class="row"> <div class="info-row-name normal-text-gray col-md-2 col-sm-3 col-xs-4"> <div class="row"> <p>Keywords:</p> </div> </div> <div class="info-row-content semibold-middle-text col-md-10 col-sm-9 col-xs-8"> <div class="row"> <a href="/paper-keyword/digital-elevation-model">Digital Elevation Model</a>, <a href="/paper-keyword/jantho-lamno">Jantho - Lamno</a>, <a href="/paper-keyword/landslides">Landslides</a>, <a href="/paper-keyword/natural-hazard">Natural Hazard</a>, <a href="/paper-keyword/slope-analysis">Slope Analysis</a> </div> </div> </div> </div> <div class="papers-block-info col-lg-12"> <div class="row"> 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