Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim

Abstract Background Sikkim Himalaya is under consistent distress due to landslides. Abrupt thrust on infrastructure development in the valley regions of Sikkim Himalaya has led to a need for a prior planning to face landslide hazard. A comprehensive study for the identification of landslide hazard z...

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Main Authors: Anbalagan, Rathinam, Kumar, Rohan, Lakshmanan, Kalamegam, Parida, Sujata, Neethu, Sasidharan
Format: Article in Journal/Newspaper
Language:English
Published: BioMed Central Ltd. 2015
Subjects:
Online Access:http://www.geoenvironmental-disasters.com/content/2/1/6
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spelling ftbiomed:oai:biomedcentral.com:s40677-014-0009-y 2023-05-15T17:58:23+02:00 Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim Anbalagan, Rathinam Kumar, Rohan Lakshmanan, Kalamegam Parida, Sujata Neethu, Sasidharan 2015-02-28 http://www.geoenvironmental-disasters.com/content/2/1/6 en eng BioMed Central Ltd. http://www.geoenvironmental-disasters.com/content/2/1/6 Copyright 2015 Anbalagan et al.; licensee Springer. Fuzzy logic Landslide hazard zonation Frequency ratio Research article 2015 ftbiomed 2015-03-01T00:53:02Z Abstract Background Sikkim Himalaya is under consistent distress due to landslides. Abrupt thrust on infrastructure development in the valley regions of Sikkim Himalaya has led to a need for a prior planning to face landslide hazard. A comprehensive study for the identification of landslide hazard zones using landslide frequency ratio and fuzzy logic in GIS environment has been presented for the Lachung valley, Sikkim, India, where a number of hydroelectric projects are proposed. Temporal remote sensing data was used to generate significant landslide causative factors in addition to landslide inventory. Primary topographic attributes namely slope, aspect and relative relief were derived from digital elevation model. Landslide frequency ratio approach was adopted to correlate landslide causal factors with landslide incidences. Further, fuzzy logic method was used for the integration of landslide causative factors in order to delineate the landslide hazard zones. Fuzzy memberships were derived from the landslide frequency ratio values. Different gamma values were used in fuzzy gamma integration process, which resulted different landslide hazard index maps. Receiver operating characteristic curves were prepared to analyze consistency of the resulting landslide hazard index maps. Results Landslide frequency ratio values have emphasised the importance of factors/classes in landsliding. High slope angle (35°-45°), very high slope category (>45°), High and very high relative relief categories; south, southeast and southwest aspects; drainage and lineaments buffer range of 0-50m, 50-100m and 100 to 150m; quartzite/garnet schist and migmatite type of lithology; Sandy loam and Rock/loam classes of soils; fallow land and sparse vegetation classes of land use/land cover were found to be associated with landsliding. Five landslide hazard zonation maps with each comprising five relative landslide hazard zones namely; very low, low, moderate, high and very high hazard zones were prepared by using five fuzzy gamma operators. Maps indicated that steep talus slopes, close proximity to drainages, ridges and spars fall under high hazard zones. Settlement areas were observed in low to moderate hazard zones. Very high hazard zones were observed in steep slopes, cliffs and cut slopes excavated for the roads. Low hazard zones were observed in agricultural terraces and permafrost areas. Conclusions Hence it can be concluded that landslide causative factor’s integration using fuzzy logic has yielded good results for Lachung valley. Frequency ratio method for determination of fuzzy membership value has reduced . Article in Journal/Newspaper permafrost BioMed Central
institution Open Polar
collection BioMed Central
op_collection_id ftbiomed
language English
topic Fuzzy logic
Landslide hazard zonation
Frequency ratio
spellingShingle Fuzzy logic
Landslide hazard zonation
Frequency ratio
Anbalagan, Rathinam
Kumar, Rohan
Lakshmanan, Kalamegam
Parida, Sujata
Neethu, Sasidharan
Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim
topic_facet Fuzzy logic
Landslide hazard zonation
Frequency ratio
description Abstract Background Sikkim Himalaya is under consistent distress due to landslides. Abrupt thrust on infrastructure development in the valley regions of Sikkim Himalaya has led to a need for a prior planning to face landslide hazard. A comprehensive study for the identification of landslide hazard zones using landslide frequency ratio and fuzzy logic in GIS environment has been presented for the Lachung valley, Sikkim, India, where a number of hydroelectric projects are proposed. Temporal remote sensing data was used to generate significant landslide causative factors in addition to landslide inventory. Primary topographic attributes namely slope, aspect and relative relief were derived from digital elevation model. Landslide frequency ratio approach was adopted to correlate landslide causal factors with landslide incidences. Further, fuzzy logic method was used for the integration of landslide causative factors in order to delineate the landslide hazard zones. Fuzzy memberships were derived from the landslide frequency ratio values. Different gamma values were used in fuzzy gamma integration process, which resulted different landslide hazard index maps. Receiver operating characteristic curves were prepared to analyze consistency of the resulting landslide hazard index maps. Results Landslide frequency ratio values have emphasised the importance of factors/classes in landsliding. High slope angle (35°-45°), very high slope category (>45°), High and very high relative relief categories; south, southeast and southwest aspects; drainage and lineaments buffer range of 0-50m, 50-100m and 100 to 150m; quartzite/garnet schist and migmatite type of lithology; Sandy loam and Rock/loam classes of soils; fallow land and sparse vegetation classes of land use/land cover were found to be associated with landsliding. Five landslide hazard zonation maps with each comprising five relative landslide hazard zones namely; very low, low, moderate, high and very high hazard zones were prepared by using five fuzzy gamma operators. Maps indicated that steep talus slopes, close proximity to drainages, ridges and spars fall under high hazard zones. Settlement areas were observed in low to moderate hazard zones. Very high hazard zones were observed in steep slopes, cliffs and cut slopes excavated for the roads. Low hazard zones were observed in agricultural terraces and permafrost areas. Conclusions Hence it can be concluded that landslide causative factor’s integration using fuzzy logic has yielded good results for Lachung valley. Frequency ratio method for determination of fuzzy membership value has reduced .
format Article in Journal/Newspaper
author Anbalagan, Rathinam
Kumar, Rohan
Lakshmanan, Kalamegam
Parida, Sujata
Neethu, Sasidharan
author_facet Anbalagan, Rathinam
Kumar, Rohan
Lakshmanan, Kalamegam
Parida, Sujata
Neethu, Sasidharan
author_sort Anbalagan, Rathinam
title Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim
title_short Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim
title_full Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim
title_fullStr Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim
title_full_unstemmed Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim
title_sort landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of lachung valley, sikkim
publisher BioMed Central Ltd.
publishDate 2015
url http://www.geoenvironmental-disasters.com/content/2/1/6
genre permafrost
genre_facet permafrost
op_relation http://www.geoenvironmental-disasters.com/content/2/1/6
op_rights Copyright 2015 Anbalagan et al.; licensee Springer.
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