Site-suitability analysis on seismic stations using Geographic Information Systems

The Ranau Earthquake which took place on 5 June 2015 was captured as among the worst ever disasters in Malaysia, par with the tsunami tragedy in 2004. Apart from 18 casualties and physical damage to infrastructure, the earthquake also caused landslides, rockfalls and debris flow around Mount Kinabal...

Full description

Saved in:
Bibliographic Details
Main Authors: Abd. Halim, Ida Sharmiza, Shuib, Rambat, Mohd. Noh, Muhammad Ramzanee
Format: Article
Language:English
Published: World Research Association 2022
Subjects:
Online Access:http://eprints.utm.my/103524/1/RambatShuib2022_SiteSuitabilityAnalysisonSeismicStations.pdf
http://eprints.utm.my/103524/
http://dx.doi.org/10.25303/1502da001014
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.103524
record_format eprints
spelling my.utm.1035242023-11-14T06:35:02Z http://eprints.utm.my/103524/ Site-suitability analysis on seismic stations using Geographic Information Systems Abd. Halim, Ida Sharmiza Shuib, Rambat Mohd. Noh, Muhammad Ramzanee T Technology (General) The Ranau Earthquake which took place on 5 June 2015 was captured as among the worst ever disasters in Malaysia, par with the tsunami tragedy in 2004. Apart from 18 casualties and physical damage to infrastructure, the earthquake also caused landslides, rockfalls and debris flow around Mount Kinabalu. It also caused liquefaction in the Poring Hot Spring area. Although Malaysia has seismic stations to assess local and international earthquakes, academic researchers still find the distribution of seismic stations as insufficiently dense to provide accurate information where blind spots still exist in many places, particularly in earthquake prone areas. A strategic suggestion to address these existing gaps is by installing more sensitive seismic stations in strategic areas to enhance the precision, timeliness and content of earthquake information. Therefore, this study is primarily aimed to identify the criteria used in a site-suitability analysis on seismic stations as well as to suggest strategic locations for subsequent seismic stations to be included in the local seismic monitoring network. This study employed a GIS-based MCDA tool to create a suitability map for the placement of seismic stations in one of Malaysia's earthquake-prone locations, specifically the district of Niah Suai in Sarawak. The study's findings demonstrate GIS' capacity to combine multiple data layers with varied criteria to generate an acceptable suitability map. The acquired results were thoroughly discussed using descriptive analysis in order to meet the study objectives. The findings of this study may be used to enhance the existing technique employed by MET Malaysia in identifying suitable sites for seismic station placement. An improved seismic station network would aid MET Malaysia in delivering effective and reliable information to the National Disaster Agency for mitigation and preparation against disasters. World Research Association 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/103524/1/RambatShuib2022_SiteSuitabilityAnalysisonSeismicStations.pdf Abd. Halim, Ida Sharmiza and Shuib, Rambat and Mohd. Noh, Muhammad Ramzanee (2022) Site-suitability analysis on seismic stations using Geographic Information Systems. Disaster Advances, 15 (2). pp. 1-14. ISSN 0974-262X http://dx.doi.org/10.25303/1502da001014 DOI : 10.25303/1502da001014
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abd. Halim, Ida Sharmiza
Shuib, Rambat
Mohd. Noh, Muhammad Ramzanee
Site-suitability analysis on seismic stations using Geographic Information Systems
description The Ranau Earthquake which took place on 5 June 2015 was captured as among the worst ever disasters in Malaysia, par with the tsunami tragedy in 2004. Apart from 18 casualties and physical damage to infrastructure, the earthquake also caused landslides, rockfalls and debris flow around Mount Kinabalu. It also caused liquefaction in the Poring Hot Spring area. Although Malaysia has seismic stations to assess local and international earthquakes, academic researchers still find the distribution of seismic stations as insufficiently dense to provide accurate information where blind spots still exist in many places, particularly in earthquake prone areas. A strategic suggestion to address these existing gaps is by installing more sensitive seismic stations in strategic areas to enhance the precision, timeliness and content of earthquake information. Therefore, this study is primarily aimed to identify the criteria used in a site-suitability analysis on seismic stations as well as to suggest strategic locations for subsequent seismic stations to be included in the local seismic monitoring network. This study employed a GIS-based MCDA tool to create a suitability map for the placement of seismic stations in one of Malaysia's earthquake-prone locations, specifically the district of Niah Suai in Sarawak. The study's findings demonstrate GIS' capacity to combine multiple data layers with varied criteria to generate an acceptable suitability map. The acquired results were thoroughly discussed using descriptive analysis in order to meet the study objectives. The findings of this study may be used to enhance the existing technique employed by MET Malaysia in identifying suitable sites for seismic station placement. An improved seismic station network would aid MET Malaysia in delivering effective and reliable information to the National Disaster Agency for mitigation and preparation against disasters.
format Article
author Abd. Halim, Ida Sharmiza
Shuib, Rambat
Mohd. Noh, Muhammad Ramzanee
author_facet Abd. Halim, Ida Sharmiza
Shuib, Rambat
Mohd. Noh, Muhammad Ramzanee
author_sort Abd. Halim, Ida Sharmiza
title Site-suitability analysis on seismic stations using Geographic Information Systems
title_short Site-suitability analysis on seismic stations using Geographic Information Systems
title_full Site-suitability analysis on seismic stations using Geographic Information Systems
title_fullStr Site-suitability analysis on seismic stations using Geographic Information Systems
title_full_unstemmed Site-suitability analysis on seismic stations using Geographic Information Systems
title_sort site-suitability analysis on seismic stations using geographic information systems
publisher World Research Association
publishDate 2022
url http://eprints.utm.my/103524/1/RambatShuib2022_SiteSuitabilityAnalysisonSeismicStations.pdf
http://eprints.utm.my/103524/
http://dx.doi.org/10.25303/1502da001014
_version_ 1783876376744427520
score 13.18916