Seismic hazard and risk assessment: a review of state-of-the-art traditional and GIS models

Jena, R; Pradhan, B; Beydoun, G; Al-Amri, A; Sofyan, H

Seismic hazard and risk assessment: a review of state-of-the-art traditional and GIS models

Jena, R Pradhan, B

Beydoun, G

Al-Amri, A Sofyan, H

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Publication Type:: Journal Article
Citation:: Arabian Journal of Geosciences, 2020, 13 (2)
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Jena, R	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.contributor.author	Al-Amri, A	en_US
dc.contributor.author	Sofyan, H	en_US
dc.date.accessioned	2020-04-10T06:09:57Z
dc.date.available	2020-04-10T06:09:57Z
dc.date.issued	2020-01-01	en_US
dc.identifier.citation	Arabian Journal of Geosciences, 2020, 13 (2)	en_US
dc.identifier.issn	1866-7511	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139934
dc.description.abstract	© 2020, Saudi Society for Geosciences. The historical records of earthquakes play a vital role in seismic hazard and risk assessment. During the last decade, geophysical, geotechnical, geochemical, topographical, geomorphological, geological data, and various satellite images have been collected, processed, and well-integrated into qualitative and quantitative spatial databases using geographical information systems (GIS). Various types of modeling approaches, such as traditional and GIS-based models, are used. Progressively, seismic studies can improve and modify systematic models and standardize the inventory map of earthquake-susceptible regions. Therefore, this paper reviews different approaches, which are organized and discussed on various models primarily used to create an earthquake scenario focusing on hazard and risk assessment. The reviews are divided into two major parts. The first part is the basic principles, data, and the methodology of various models used for seismic hazard and risk assessment. In the second part, a comparative analysis in terms of the limitations and strengths of the models, as well as application variability is presented. Furthermore, the paper includes the descriptions of software, data resources, and major conclusions. The main findings of this review explain that the capability of machine learning techniques regularly enhances the state of earthquake research, which will provide research opportunities in the future. The model suitability depends on the improvement of parameters, data, and methods that could help to prevent future risk. This paper will help researchers further understand the models based on their strengths, limitations, and applicability.	en_US
dc.relation.ispartof	Arabian Journal of Geosciences	en_US
dc.relation.isbasedon	10.1007/s12517-019-5012-x	en_US
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights.uri	This is a post-peer-review, pre-copyedit version of an article published in [Arabian Journal of Geosciences, 2020, 13 (2)]. The final authenticated version is available online at: https://link.springer.com/article/10.1007%2Fs12517-019-5012-x]”
dc.title	Seismic hazard and risk assessment: a review of state-of-the-art traditional and GIS models	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	13	en_US
utslib.for	0403 Geology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	recently_added	*
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

© 2020, Saudi Society for Geosciences. The historical records of earthquakes play a vital role in seismic hazard and risk assessment. During the last decade, geophysical, geotechnical, geochemical, topographical, geomorphological, geological data, and various satellite images have been collected, processed, and well-integrated into qualitative and quantitative spatial databases using geographical information systems (GIS). Various types of modeling approaches, such as traditional and GIS-based models, are used. Progressively, seismic studies can improve and modify systematic models and standardize the inventory map of earthquake-susceptible regions. Therefore, this paper reviews different approaches, which are organized and discussed on various models primarily used to create an earthquake scenario focusing on hazard and risk assessment. The reviews are divided into two major parts. The first part is the basic principles, data, and the methodology of various models used for seismic hazard and risk assessment. In the second part, a comparative analysis in terms of the limitations and strengths of the models, as well as application variability is presented. Furthermore, the paper includes the descriptions of software, data resources, and major conclusions. The main findings of this review explain that the capability of machine learning techniques regularly enhances the state of earthquake research, which will provide research opportunities in the future. The model suitability depends on the improvement of parameters, data, and methods that could help to prevent future risk. This paper will help researchers further understand the models based on their strengths, limitations, and applicability.

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http://hdl.handle.net/10453/139934