Landslide Susceptibility Assessment for ST. Thomas, Jamaica.

Hdl Handle:
http://hdl.handle.net/10034/621017
Title:
Landslide Susceptibility Assessment for ST. Thomas, Jamaica.
Authors:
Miller, Servel ( 0000-0002-3979-8510 ) ; Harris, Norman; Bhalai, Suresh
Abstract:
The parish of St Thomas in Jamaica is highly prone to slope failure and in the past this has resulted in extensive damage and in some cases loss of life. To reduce the effect from landslides, there was an urgent need to map and assess areas that may be prone to future failure. Aerial photographs coupled with geomorphological field mapping were used to inventory the landslides. The factors conditioning the slopes for failure were assessed and a weighting value assigned to them. The weighting was achieved by using the principle of Bayesian conditional probability. The weighted factors were combined in a Geographical Information System (GIS) to produce a landslide susceptibility model for the study area. The susceptibility model created is in general agreement with the distribution of landslides in the area. Comparison of the model with the existing landslides showed that 97% of the landslides fell within the high and very high susceptibility zones of the model. Comparison of the model with landslides that occurred during 2002, and that were not used in the construction of the model, shows that 83 of the 89 slides that occurred fell within the high and very high susceptibility zones. The landslide susceptibility model created hopefully will be one of the first steps in looking at the risks landslides pose to lives, developments, whether it is housing, agriculture or the physical infrastructure and may be used to guide land-use planning in the parish
Affiliation:
University of Chester; Mines and Geology department, Jamaica
Citation:
Miller, S., Harris, N., Williams, L. & Bhalai, S. (2007). Landslide susceptibility assessment for St Thomas, Jamaica, using geographical information system and remote sensing methods. In Teeuw, R. (ed.), Mapping Hazardous Terrain using Remote Sensing, (pp. 77-91), London, United Kingdom, Geological Society.
Publication Date:
1-Jul-2007
URI:
http://hdl.handle.net/10034/621017
Type:
Book chapter
Language:
en
ISSN:
9781862392298
Appears in Collections:
Geography and Development Studies

Full metadata record

DC FieldValue Language
dc.contributor.authorMiller, Servelen
dc.contributor.authorHarris, Normanen
dc.contributor.authorBhalai, Sureshen
dc.date.accessioned2018-03-23T12:10:38Z-
dc.date.available2018-03-23T12:10:38Z-
dc.date.issued2007-07-01-
dc.identifier.citationMiller, S., Harris, N., Williams, L. & Bhalai, S. (2007). Landslide susceptibility assessment for St Thomas, Jamaica, using geographical information system and remote sensing methods. In Teeuw, R. (ed.), Mapping Hazardous Terrain using Remote Sensing, (pp. 77-91), London, United Kingdom, Geological Society.en
dc.identifier.issn9781862392298-
dc.identifier.urihttp://hdl.handle.net/10034/621017-
dc.description.abstractThe parish of St Thomas in Jamaica is highly prone to slope failure and in the past this has resulted in extensive damage and in some cases loss of life. To reduce the effect from landslides, there was an urgent need to map and assess areas that may be prone to future failure. Aerial photographs coupled with geomorphological field mapping were used to inventory the landslides. The factors conditioning the slopes for failure were assessed and a weighting value assigned to them. The weighting was achieved by using the principle of Bayesian conditional probability. The weighted factors were combined in a Geographical Information System (GIS) to produce a landslide susceptibility model for the study area. The susceptibility model created is in general agreement with the distribution of landslides in the area. Comparison of the model with the existing landslides showed that 97% of the landslides fell within the high and very high susceptibility zones of the model. Comparison of the model with landslides that occurred during 2002, and that were not used in the construction of the model, shows that 83 of the 89 slides that occurred fell within the high and very high susceptibility zones. The landslide susceptibility model created hopefully will be one of the first steps in looking at the risks landslides pose to lives, developments, whether it is housing, agriculture or the physical infrastructure and may be used to guide land-use planning in the parishen
dc.language.isoenen
dc.subjectlandslideen
dc.subjectsusceptibilityen
dc.subjectSt Thomasen
dc.subjectJamaicaen
dc.titleLandslide Susceptibility Assessment for ST. Thomas, Jamaica.en
dc.typeBook chapteren
dc.contributor.departmentUniversity of Chester; Mines and Geology department, Jamaicaen
dc.date.accepted2006-06-27-
or.grant.openaccessYesen
rioxxterms.funderunfunded researchen
rioxxterms.identifier.projectunfunded researchen
rioxxterms.versionAOen
rioxxterms.licenseref.startdate2207-07-01-
This item is licensed under a Creative Commons License
Creative Commons
All Items in ChesterRep are protected by copyright, with all rights reserved, unless otherwise indicated.