Development of early warning system for geohazard and risk assessment

This thesis reports the development of early warning system for geohazard and risk assessment. Geohazard are defined as natural disasters which causes severe threats and loss to lives, properties and also the environment.

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Main Author: Lim Siew Ching
Format: text
Language:English
Published: 2023
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spelling my.uniten.dspace-207732023-05-05T16:39:02Z Development of early warning system for geohazard and risk assessment Lim Siew Ching This thesis reports the development of early warning system for geohazard and risk assessment. Geohazard are defined as natural disasters which causes severe threats and loss to lives, properties and also the environment. 2023-05-03T15:20:10Z 2023-05-03T15:20:10Z 2010 text https://irepository.uniten.edu.my/handle/123456789/20773 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description This thesis reports the development of early warning system for geohazard and risk assessment. Geohazard are defined as natural disasters which causes severe threats and loss to lives, properties and also the environment.
format text
author Lim Siew Ching
spellingShingle Lim Siew Ching
Development of early warning system for geohazard and risk assessment
author_facet Lim Siew Ching
author_sort Lim Siew Ching
title Development of early warning system for geohazard and risk assessment
title_short Development of early warning system for geohazard and risk assessment
title_full Development of early warning system for geohazard and risk assessment
title_fullStr Development of early warning system for geohazard and risk assessment
title_full_unstemmed Development of early warning system for geohazard and risk assessment
title_sort development of early warning system for geohazard and risk assessment
publishDate 2023
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score 13.18916