Landslide inventory and safety classification
FYP 2 Sem 1 2019/2020
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| Format: | text::Final Year Project |
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2023
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| _version_ | 1848452254779047936 |
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| author | Logeshwari a/p Raja |
| author_facet | Logeshwari a/p Raja |
| author_sort | Logeshwari a/p Raja |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | FYP 2 Sem 1 2019/2020 |
| format | Resource Types::text::Final Year Project |
| id | my.uniten.dspace-20619 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-206192025-11-10T08:21:51Z Landslide inventory and safety classification Logeshwari a/p Raja Landslide Inventory FYP 2 Sem 1 2019/2020 Landslides are one of the most consistent and ordinary trademark dangers in Malaysia. Arranging of landslide defenselessness maps is one of the first and most huge walks in the landslide risk easing. Regardless, as a result of complex nature of landslides, making a strong powerlessness guide isn't straightforward. Along these lines, different techniques have been used, including quick and underhanded heuristic approaches, deterministic, probabilistic, quantifiable, and data mining moves close. Also, these landslides can be methodically studied and mapped through a traditional mapping structure using geo information progresses. Since the mid-1990s, a couple of numerical models have been made and associated with landslide threat mapping using geographic information system (GIS). Among various techniques, fleecy basis association for mapping landslide weakness is one of the frameworks that licenses to delineate the activity of each slanting variable (landslide-forming parameters) and their optimal blend. This paper presents another undertaking at landslide powerlessness mapping using soft justification relations and their cross utilization of interest regards to three examination districts in Malaysia using a GIS. The believability of getting the judgment and the showing of embellishment segments are the central focal points of using fleecy method of reasoning. These models are capable to get the trim factors direct affecting the landslides and moreover the between relationship among them. In the chief period of the examination, a landslide stock was fused for all of the three assessment zones using both field studies and air photo considers. Using full scale 12 topographic and lithological factors, landslide defenselessness models were made using the fleecy method of reasoning methodology. By then the landslide stock and the parameter maps were dismembered together using the cushy relations and the landslide weakness maps made. Finally, the gauge introduction of the weakness maps was checked by considering field-affirmed landslide zones in the examined locales. The results exhibited that, when differentiated and the landslide defenselessness maps, the landslides perceived in the examination districts were seen to be arranged in the incredibly high and high powerlessness zones 2023-05-03T15:08:56Z 2023-05-03T15:08:56Z 2019-10 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/20619 application/pdf |
| spellingShingle | Landslide Inventory Logeshwari a/p Raja Landslide inventory and safety classification |
| title | Landslide inventory and safety classification |
| title_full | Landslide inventory and safety classification |
| title_fullStr | Landslide inventory and safety classification |
| title_full_unstemmed | Landslide inventory and safety classification |
| title_short | Landslide inventory and safety classification |
| title_sort | landslide inventory and safety classification |
| topic | Landslide Inventory |
| url_provider | http://dspace.uniten.edu.my/ |