Suitability of flood early warning system in Pergau River, Kuala Balah

Flood has become an annual event in the area of east Peninsular Malaysia due to heavy rainfall during monsoon season. Although it happens every year, the effects caused by flood cannot be reduced and it remains an inordinate threat to people since flood mitigation and flood vulnerability methods apply...

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Main Author: Mustaffa, Ahmad Mukrim
Format: Undergraduate Final Project Report
Published: 2018
Online Access:http://discol.umk.edu.my/id/eprint/5062/
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spelling my.umk.eprints.50622022-05-23T08:38:11Z http://discol.umk.edu.my/id/eprint/5062/ Suitability of flood early warning system in Pergau River, Kuala Balah Mustaffa, Ahmad Mukrim Flood has become an annual event in the area of east Peninsular Malaysia due to heavy rainfall during monsoon season. Although it happens every year, the effects caused by flood cannot be reduced and it remains an inordinate threat to people since flood mitigation and flood vulnerability methods apply is not comprehensive. Therefore, early warning system is needed in order to overcome and reduce the potential losses in the future. The flood phenomenon occur will leads to a tremendous effects in terms of social, economic and environmental degradation. Recently in the year 2014, Kelantan again experienced massive flood that almost the same as the previous record in 1967 in terms of scale and intensity. Thus, this study was conducted to identify the suitable flood early warning systems at Pergau River, Kuala Balah area and to analyse the most suitable location for applying the early warning systems at, Kuala Balah area. The study area for this research is Kuala Balah in the district of Jeli, Kelantan. The methodology used in conducting this study includes data collection which encompasses of the information from survey, interview and questionnaire that was distributed about ten per cent of the flood victim’s populations and also the data obtained from the govemment department. The data is further proceeding with analysing and interpretation data to produce graph by using Microsoft excel and also Statistical Package for Social Sciences (SPSS). For early warning systems towards flood, the result shows the maximum percentage which is 44% of the respondents that have selected for siren system which is represent about ll families in Kuala Balah that have faced massive flood on 2014. Besides, based on the interview and responds from the villagers, the suitable locations to apply the systems have been determined. This because due to many loss of properties, places, livestock and also loss of life. Therefore, this study can be used in order to improve flood mitigation process and flood management for filture plan. 2018 Undergraduate Final Project Report NonPeerReviewed Mustaffa, Ahmad Mukrim (2018) Suitability of flood early warning system in Pergau River, Kuala Balah. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
description Flood has become an annual event in the area of east Peninsular Malaysia due to heavy rainfall during monsoon season. Although it happens every year, the effects caused by flood cannot be reduced and it remains an inordinate threat to people since flood mitigation and flood vulnerability methods apply is not comprehensive. Therefore, early warning system is needed in order to overcome and reduce the potential losses in the future. The flood phenomenon occur will leads to a tremendous effects in terms of social, economic and environmental degradation. Recently in the year 2014, Kelantan again experienced massive flood that almost the same as the previous record in 1967 in terms of scale and intensity. Thus, this study was conducted to identify the suitable flood early warning systems at Pergau River, Kuala Balah area and to analyse the most suitable location for applying the early warning systems at, Kuala Balah area. The study area for this research is Kuala Balah in the district of Jeli, Kelantan. The methodology used in conducting this study includes data collection which encompasses of the information from survey, interview and questionnaire that was distributed about ten per cent of the flood victim’s populations and also the data obtained from the govemment department. The data is further proceeding with analysing and interpretation data to produce graph by using Microsoft excel and also Statistical Package for Social Sciences (SPSS). For early warning systems towards flood, the result shows the maximum percentage which is 44% of the respondents that have selected for siren system which is represent about ll families in Kuala Balah that have faced massive flood on 2014. Besides, based on the interview and responds from the villagers, the suitable locations to apply the systems have been determined. This because due to many loss of properties, places, livestock and also loss of life. Therefore, this study can be used in order to improve flood mitigation process and flood management for filture plan.
format Undergraduate Final Project Report
author Mustaffa, Ahmad Mukrim
spellingShingle Mustaffa, Ahmad Mukrim
Suitability of flood early warning system in Pergau River, Kuala Balah
author_facet Mustaffa, Ahmad Mukrim
author_sort Mustaffa, Ahmad Mukrim
title Suitability of flood early warning system in Pergau River, Kuala Balah
title_short Suitability of flood early warning system in Pergau River, Kuala Balah
title_full Suitability of flood early warning system in Pergau River, Kuala Balah
title_fullStr Suitability of flood early warning system in Pergau River, Kuala Balah
title_full_unstemmed Suitability of flood early warning system in Pergau River, Kuala Balah
title_sort suitability of flood early warning system in pergau river, kuala balah
publishDate 2018
url http://discol.umk.edu.my/id/eprint/5062/
_version_ 1763303501051461632
score 13.188404