An assessment on early warning system : Initial survey analysis.

In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such...

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Main Authors: Mohd Hussain, Mohd Ramzi, Zen, Ismawi, Rabe, Noor Suzilawati, Tukiman, Izawati, Sabri Muda, Rahsidi, Mamat, Ahmad Fadhli
Format: Article
Language:English
English
Published: 2019
Subjects:
Online Access:http://irep.iium.edu.my/74802/
http://irep.iium.edu.my/74802/7/74802_An%20assessment%20on%20early%20warning%20system_Scopus.pdf
http://irep.iium.edu.my/74802/13/74802_An%20assessment%20on%20early%20warning%20system.pdf
id iium-74802
recordtype eprints
spelling iium-748022020-02-04T08:07:42Z http://irep.iium.edu.my/74802/ An assessment on early warning system : Initial survey analysis. Mohd Hussain, Mohd Ramzi Zen, Ismawi Rabe, Noor Suzilawati Tukiman, Izawati Sabri Muda, Rahsidi Mamat, Ahmad Fadhli NA2542.35 Environmental aspect of architecture NA Architecture NA9000 Aesthetics of cities. City planning and beautifying In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such as floods, landslides and storms with the aim to reduce the vulnerability and disaster risks that signifies the effectiveness of EWS in the realisation of affected community. To test the awareness and preparedness of community in the selected area, a questionnaire survey was employed as the data collection method. The questionnaire survey was conducted before the direct engagement on the EWS information with the community. Using the mixed sampling method of cluster random sampling, a total of 800 respondents from 11 villages, and 5 main ethnicity groups were involved in the survey. From the result, there was a positive relationship showing that respondents who claimed they knew about the EWS from information signage were those from the older age category and earning higher monthly income. On the other hand, there is a negative relationship between respondents’ age and monthly income against other sources that indicates respondents who claimed they knew about the EWS from other sources were those in the younger age category and have low monthly income. 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/74802/7/74802_An%20assessment%20on%20early%20warning%20system_Scopus.pdf application/pdf en http://irep.iium.edu.my/74802/13/74802_An%20assessment%20on%20early%20warning%20system.pdf Mohd Hussain, Mohd Ramzi and Zen, Ismawi and Rabe, Noor Suzilawati and Tukiman, Izawati and Sabri Muda, Rahsidi and Mamat, Ahmad Fadhli (2019) An assessment on early warning system : Initial survey analysis. Journal of the Malaysian Institute of Planners, 17 (2). pp. 334-342.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic NA2542.35 Environmental aspect of architecture
NA Architecture
NA9000 Aesthetics of cities. City planning and beautifying
spellingShingle NA2542.35 Environmental aspect of architecture
NA Architecture
NA9000 Aesthetics of cities. City planning and beautifying
Mohd Hussain, Mohd Ramzi
Zen, Ismawi
Rabe, Noor Suzilawati
Tukiman, Izawati
Sabri Muda, Rahsidi
Mamat, Ahmad Fadhli
An assessment on early warning system : Initial survey analysis.
description In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such as floods, landslides and storms with the aim to reduce the vulnerability and disaster risks that signifies the effectiveness of EWS in the realisation of affected community. To test the awareness and preparedness of community in the selected area, a questionnaire survey was employed as the data collection method. The questionnaire survey was conducted before the direct engagement on the EWS information with the community. Using the mixed sampling method of cluster random sampling, a total of 800 respondents from 11 villages, and 5 main ethnicity groups were involved in the survey. From the result, there was a positive relationship showing that respondents who claimed they knew about the EWS from information signage were those from the older age category and earning higher monthly income. On the other hand, there is a negative relationship between respondents’ age and monthly income against other sources that indicates respondents who claimed they knew about the EWS from other sources were those in the younger age category and have low monthly income.
format Article
author Mohd Hussain, Mohd Ramzi
Zen, Ismawi
Rabe, Noor Suzilawati
Tukiman, Izawati
Sabri Muda, Rahsidi
Mamat, Ahmad Fadhli
author_facet Mohd Hussain, Mohd Ramzi
Zen, Ismawi
Rabe, Noor Suzilawati
Tukiman, Izawati
Sabri Muda, Rahsidi
Mamat, Ahmad Fadhli
author_sort Mohd Hussain, Mohd Ramzi
title An assessment on early warning system : Initial survey analysis.
title_short An assessment on early warning system : Initial survey analysis.
title_full An assessment on early warning system : Initial survey analysis.
title_fullStr An assessment on early warning system : Initial survey analysis.
title_full_unstemmed An assessment on early warning system : Initial survey analysis.
title_sort assessment on early warning system : initial survey analysis.
publishDate 2019
url http://irep.iium.edu.my/74802/
http://irep.iium.edu.my/74802/7/74802_An%20assessment%20on%20early%20warning%20system_Scopus.pdf
http://irep.iium.edu.my/74802/13/74802_An%20assessment%20on%20early%20warning%20system.pdf
first_indexed 2023-09-18T21:45:51Z
last_indexed 2023-09-18T21:45:51Z
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