ANALYSIS OF FLASH FLOOD POTENTIAL INDEX (FFPI) AND SCENARIOS ASSESSMENT IN SHAH ALAM USING GIS APPROACH

Q2 Social Sciences Planning Malaysia Pub Date : 2023-06-27 DOI:10.21837/pm.v21i26.1255
Nurul A. Mohd Yassin, Noraizam Adnan, Eran S. S. Md Sadek
{"title":"ANALYSIS OF FLASH FLOOD POTENTIAL INDEX (FFPI) AND SCENARIOS ASSESSMENT IN SHAH ALAM USING GIS APPROACH","authors":"Nurul A. Mohd Yassin, Noraizam Adnan, Eran S. S. Md Sadek","doi":"10.21837/pm.v21i26.1255","DOIUrl":null,"url":null,"abstract":"Nowadays, there is an increase in the frequency of flash floods, which can have disastrous effects on both the economy and people's lives. In this study, the flash floods in Shah Alam are analysed using the Flash Flood Potential Index (FFPI) assessment method, which utilises four significant parameters, namely ground slope, land use, soil type, and NDVI, as outlined in the FFPI model that was first developed in 2003. The study reveals that the study area has a medium risk of flash floods, with an index value of five (5) to six (6). Flash flood risk is considered in all study scenarios, with a probability of over 50%. Scenario 2 produces the best results, with a 71% chance of Shah Alam being hit by a highlevel flash flood and a 22% chance of being hit by a medium-level flash flood. Since the FFPI is a dimensionless index ranging from 1 to 10, and the percentage of FFPI in Shah Alam is 47.48% for the value of 5 (median index), it is concluded that Shah Alam is in the medium risk group for daily flash floods. The FFPI is a suitable index to be used in Malaysia for predicting urban flood risk. Additionally, it is recommended to incorporate the calculation of factors or parameters that contribute to flash floods using weighting and ranking, particularly related to the drainage system and precipitation.","PeriodicalId":38852,"journal":{"name":"Planning Malaysia","volume":"156 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Planning Malaysia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21837/pm.v21i26.1255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

Abstract

Nowadays, there is an increase in the frequency of flash floods, which can have disastrous effects on both the economy and people's lives. In this study, the flash floods in Shah Alam are analysed using the Flash Flood Potential Index (FFPI) assessment method, which utilises four significant parameters, namely ground slope, land use, soil type, and NDVI, as outlined in the FFPI model that was first developed in 2003. The study reveals that the study area has a medium risk of flash floods, with an index value of five (5) to six (6). Flash flood risk is considered in all study scenarios, with a probability of over 50%. Scenario 2 produces the best results, with a 71% chance of Shah Alam being hit by a highlevel flash flood and a 22% chance of being hit by a medium-level flash flood. Since the FFPI is a dimensionless index ranging from 1 to 10, and the percentage of FFPI in Shah Alam is 47.48% for the value of 5 (median index), it is concluded that Shah Alam is in the medium risk group for daily flash floods. The FFPI is a suitable index to be used in Malaysia for predicting urban flood risk. Additionally, it is recommended to incorporate the calculation of factors or parameters that contribute to flash floods using weighting and ranking, particularly related to the drainage system and precipitation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于gis方法的沙阿兰邦山洪潜在指数分析及情景评估
如今,山洪暴发的频率在增加,这对经济和人们的生活都有灾难性的影响。在本研究中,使用山洪暴发潜力指数(FFPI)评估方法分析了沙阿南的山洪暴发,该方法利用了四个重要参数,即地面坡度、土地利用、土壤类型和NDVI,如2003年首次开发的FFPI模型所述。研究表明,研究区发生山洪暴发的风险为中等,指数值为5(5)~ 6(6)。所有研究情景均考虑了山洪暴发风险,概率均在50%以上。情景2产生了最好的结果,沙阿拉姆有71%的机会被高水位的山洪袭击,22%的机会被中等水平的山洪袭击。由于FFPI是一个范围为1 ~ 10的无量纲指数,而5(中位数指数)的FFPI在沙阿南的百分比为47.48%,因此得出沙阿南属于每日山洪暴发的中等风险组。FFPI是一个适合在马来西亚用于预测城市洪水风险的指数。此外,建议采用加权和排序的方法计算导致山洪暴发的因素或参数,特别是与排水系统和降水有关的因素或参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Planning Malaysia
Planning Malaysia Social Sciences-Urban Studies
CiteScore
1.40
自引率
0.00%
发文量
68
期刊最新文献
THE IMPACT OF GREEN ENERGY & WATER PRACTICES ON THE DEVELOPMENT OF SUSTAINABLE TOURISM: A CASE STUDY OF 5-STAR HOTELS IN HURGHADA AND MECCA ASSESSING THE EVOLUTION OF PADDY CULTIVATION IN KOTA BELUD, SABAH USING GIS AND REMOTE SENSING TECHNIQUES VALUATION OF TRANSPORTATION POLICY IN MAKASSAR CITY BASED ON VEHICLE EMISSION POLLUTION FOR SUSTAINABLE ZONE PLANNING MEDIATING ROLE OF SENSE OF BELONGING IN THE RELATIONSHIP BETWEEN SOCIAL FACTORS AND NEIGHBOURHOOD ATTACHMENT: A CASE STUDY OF PENANG, MALAYSIA STUDY ON THE NEXUS OF CSR AND SOCIAL MEDIA ENGAGEMENT ON TOURIST DESTINATION LOYALTY IN SUSTAINABLE DEVELOPMENT NATURE-BASED TOURISM
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1