The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece
This paper presents an application of the rock engineering system (RES) in an attempt to assess the proper landslide parameters and estimate the instability index, using two disastrous landslides in Greece which took place in Panagopoula (1971) and Malakasa (1995). RES has been developed by Hudson (...
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description | This paper presents an application of the rock engineering system (RES) in an attempt to assess the proper landslide parameters and estimate the instability index, using two disastrous landslides in Greece which took place in Panagopoula (1971) and Malakasa (1995). RES has been developed by Hudson (Rock engineering systems: theory and practice. Ellis Horwood Limited,
1992
) to determine interaction of a number of parameters in rock engineering design and calculate instability index for rock slopes. In this paper, an attempt is made to prove, how RES can be implemented in large-scale instability areas where natural slopes are associated with a variety of geomaterials (soils, rocks, weathering mantle, etc.), by selecting each time the most appropriate parameters that are relevant to the ad hoc potential slope failure and which can be quantified easiest than those of time and money consuming ones. RES approach allows the utilization of those parameters which are particularly active at the site, evaluates the importance of their interactions, taking into account the particular problems at any investigated site. The instability index for both study areas were calculated and found 89.47 for Panagopoula site and 81.59 for Malakasa (out of 100). According to the classification for landslide susceptibility by Brabb et al. (Landslide susceptibility in San Mateo County, California,
1972
), both the examined case studies are classified as landslides, approving their existence as two serious slope failures. Thus, RES could be a simple and efficient tool in calculating the instability index and consequently in getting the prognosis of a potential slope failure in landslide susceptible areas, for land use and development planning processes. |
doi_str_mv | 10.1007/s10706-017-0403-9 |
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1992
) to determine interaction of a number of parameters in rock engineering design and calculate instability index for rock slopes. In this paper, an attempt is made to prove, how RES can be implemented in large-scale instability areas where natural slopes are associated with a variety of geomaterials (soils, rocks, weathering mantle, etc.), by selecting each time the most appropriate parameters that are relevant to the ad hoc potential slope failure and which can be quantified easiest than those of time and money consuming ones. RES approach allows the utilization of those parameters which are particularly active at the site, evaluates the importance of their interactions, taking into account the particular problems at any investigated site. The instability index for both study areas were calculated and found 89.47 for Panagopoula site and 81.59 for Malakasa (out of 100). According to the classification for landslide susceptibility by Brabb et al. (Landslide susceptibility in San Mateo County, California,
1972
), both the examined case studies are classified as landslides, approving their existence as two serious slope failures. Thus, RES could be a simple and efficient tool in calculating the instability index and consequently in getting the prognosis of a potential slope failure in landslide susceptible areas, for land use and development planning processes.</description><identifier>ISSN: 0960-3182</identifier><identifier>EISSN: 1573-1529</identifier><identifier>DOI: 10.1007/s10706-017-0403-9</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Civil Engineering ; Design engineering ; Earth and Environmental Science ; Earth Sciences ; Engineering ; Failures ; Geomaterials ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Instability ; Land use ; Land use management ; Landslides ; Landslides & mudslides ; Mathematical analysis ; Natural slope ; Original Paper ; Parameter estimation ; Parameters ; Prognosis ; Rocks ; Slope ; Slope stability ; Soil ; Stability analysis ; Terrestrial Pollution ; Waste Management/Waste Technology</subject><ispartof>Geotechnical and geological engineering, 2018-06, Vol.36 (3), p.1491-1508</ispartof><rights>Springer International Publishing AG, part of Springer Nature 2017</rights><rights>Geotechnical and Geological Engineering is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a339t-879cedeb2e55cc3edc42ea1e2c55170936e847936ac9a4d0944c921763a6025d3</citedby><cites>FETCH-LOGICAL-a339t-879cedeb2e55cc3edc42ea1e2c55170936e847936ac9a4d0944c921763a6025d3</cites><orcidid>0000-0002-6778-8926</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10706-017-0403-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10706-017-0403-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Tavoularis, Nikolaos</creatorcontrib><creatorcontrib>Koumantakis, Ioannis</creatorcontrib><creatorcontrib>Rozos, Dimitrios</creatorcontrib><creatorcontrib>Koukis, Georgios</creatorcontrib><title>The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece</title><title>Geotechnical and geological engineering</title><addtitle>Geotech Geol Eng</addtitle><description>This paper presents an application of the rock engineering system (RES) in an attempt to assess the proper landslide parameters and estimate the instability index, using two disastrous landslides in Greece which took place in Panagopoula (1971) and Malakasa (1995). RES has been developed by Hudson (Rock engineering systems: theory and practice. Ellis Horwood Limited,
1992
) to determine interaction of a number of parameters in rock engineering design and calculate instability index for rock slopes. In this paper, an attempt is made to prove, how RES can be implemented in large-scale instability areas where natural slopes are associated with a variety of geomaterials (soils, rocks, weathering mantle, etc.), by selecting each time the most appropriate parameters that are relevant to the ad hoc potential slope failure and which can be quantified easiest than those of time and money consuming ones. RES approach allows the utilization of those parameters which are particularly active at the site, evaluates the importance of their interactions, taking into account the particular problems at any investigated site. The instability index for both study areas were calculated and found 89.47 for Panagopoula site and 81.59 for Malakasa (out of 100). According to the classification for landslide susceptibility by Brabb et al. (Landslide susceptibility in San Mateo County, California,
1972
), both the examined case studies are classified as landslides, approving their existence as two serious slope failures. 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Koumantakis, Ioannis ; Rozos, Dimitrios ; Koukis, Georgios</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a339t-879cedeb2e55cc3edc42ea1e2c55170936e847936ac9a4d0944c921763a6025d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Civil Engineering</topic><topic>Design engineering</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Engineering</topic><topic>Failures</topic><topic>Geomaterials</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Instability</topic><topic>Land use</topic><topic>Land use management</topic><topic>Landslides</topic><topic>Landslides & mudslides</topic><topic>Mathematical analysis</topic><topic>Natural slope</topic><topic>Original Paper</topic><topic>Parameter estimation</topic><topic>Parameters</topic><topic>Prognosis</topic><topic>Rocks</topic><topic>Slope</topic><topic>Slope stability</topic><topic>Soil</topic><topic>Stability analysis</topic><topic>Terrestrial Pollution</topic><topic>Waste Management/Waste Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tavoularis, Nikolaos</creatorcontrib><creatorcontrib>Koumantakis, Ioannis</creatorcontrib><creatorcontrib>Rozos, Dimitrios</creatorcontrib><creatorcontrib>Koukis, Georgios</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Geotechnical and geological engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tavoularis, Nikolaos</au><au>Koumantakis, Ioannis</au><au>Rozos, Dimitrios</au><au>Koukis, Georgios</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece</atitle><jtitle>Geotechnical and geological engineering</jtitle><stitle>Geotech Geol Eng</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>36</volume><issue>3</issue><spage>1491</spage><epage>1508</epage><pages>1491-1508</pages><issn>0960-3182</issn><eissn>1573-1529</eissn><abstract>This paper presents an application of the rock engineering system (RES) in an attempt to assess the proper landslide parameters and estimate the instability index, using two disastrous landslides in Greece which took place in Panagopoula (1971) and Malakasa (1995). RES has been developed by Hudson (Rock engineering systems: theory and practice. Ellis Horwood Limited,
1992
) to determine interaction of a number of parameters in rock engineering design and calculate instability index for rock slopes. In this paper, an attempt is made to prove, how RES can be implemented in large-scale instability areas where natural slopes are associated with a variety of geomaterials (soils, rocks, weathering mantle, etc.), by selecting each time the most appropriate parameters that are relevant to the ad hoc potential slope failure and which can be quantified easiest than those of time and money consuming ones. RES approach allows the utilization of those parameters which are particularly active at the site, evaluates the importance of their interactions, taking into account the particular problems at any investigated site. The instability index for both study areas were calculated and found 89.47 for Panagopoula site and 81.59 for Malakasa (out of 100). According to the classification for landslide susceptibility by Brabb et al. (Landslide susceptibility in San Mateo County, California,
1972
), both the examined case studies are classified as landslides, approving their existence as two serious slope failures. Thus, RES could be a simple and efficient tool in calculating the instability index and consequently in getting the prognosis of a potential slope failure in landslide susceptible areas, for land use and development planning processes.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10706-017-0403-9</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-6778-8926</orcidid></addata></record> |
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subjects | Civil Engineering Design engineering Earth and Environmental Science Earth Sciences Engineering Failures Geomaterials Geotechnical Engineering & Applied Earth Sciences Hydrogeology Instability Land use Land use management Landslides Landslides & mudslides Mathematical analysis Natural slope Original Paper Parameter estimation Parameters Prognosis Rocks Slope Slope stability Soil Stability analysis Terrestrial Pollution Waste Management/Waste Technology |
title | The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece |
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