尼日利亚伊巴丹市基于GIS的分析层次框架的洪水易发地区制图

IF 1.9 Q3 MANAGEMENT
Fidelis Odedishemi Ajibade, Temitope Fausat Ajibade, Temitope Ezekiel Idowu, Nathaniel Azubuike Nwogwu, Bashir Adelodun, Kayode Hassan Lasisi, Omobolaji Taofeek Opafola, Oluwaseyi Aderemi Ajala, Olaolu George Fadugba, James Rotimi Adewumi
{"title":"尼日利亚伊巴丹市基于GIS的分析层次框架的洪水易发地区制图","authors":"Fidelis Odedishemi Ajibade,&nbsp;Temitope Fausat Ajibade,&nbsp;Temitope Ezekiel Idowu,&nbsp;Nathaniel Azubuike Nwogwu,&nbsp;Bashir Adelodun,&nbsp;Kayode Hassan Lasisi,&nbsp;Omobolaji Taofeek Opafola,&nbsp;Oluwaseyi Aderemi Ajala,&nbsp;Olaolu George Fadugba,&nbsp;James Rotimi Adewumi","doi":"10.1002/mcda.1759","DOIUrl":null,"url":null,"abstract":"<p>Flood is one of the highly pronounced ruinous naturally occurring environmental hazards in which human lives and properties are gravely endangered. This study assessed areas prone to flood in Ibadan City, Nigeria. The study applied two multi-criteria analysis approach—Analytical Hierarchy Process (AHP) and the Fuzzy Analytical Hierarchy Process (FAHP) with the aid of GIS. Ten geomorphological physical characteristics agreed upon by experts as the major factors influencing the susceptibility of an area to floods formed the criteria maps used in this study. The natural breaks and geometrical interval clustering techniques were utilised to group the final flood-prone area maps into five categories—very low, low, moderate, high, and very high. The result indicated that over 50% of the study area either have low or moderate susceptibility to flooding. The clustering techniques showed some slight differences in the flood classifications where natural breaks consistently grouped more areas into the “very high” category and relatively fewer areas to “very low” category in comparison to the geometrical interval technique. Overall, at least 451 km<sup>2</sup> (about 15% of Ibadan) is highly or very highly prone to floods, and these areas are mainly concentrated in the urban and semi-urban regions of the study area. The findings and maps developed in this study would adequately serve as a planning guide for the policymakers on urban development and flood risk management to achieve sustainable development and management.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"28 5-6","pages":"283-295"},"PeriodicalIF":1.9000,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1759","citationCount":"9","resultStr":"{\"title\":\"Flood-prone area mapping using GIS-based analytical hierarchy frameworks for Ibadan city, Nigeria\",\"authors\":\"Fidelis Odedishemi Ajibade,&nbsp;Temitope Fausat Ajibade,&nbsp;Temitope Ezekiel Idowu,&nbsp;Nathaniel Azubuike Nwogwu,&nbsp;Bashir Adelodun,&nbsp;Kayode Hassan Lasisi,&nbsp;Omobolaji Taofeek Opafola,&nbsp;Oluwaseyi Aderemi Ajala,&nbsp;Olaolu George Fadugba,&nbsp;James Rotimi Adewumi\",\"doi\":\"10.1002/mcda.1759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Flood is one of the highly pronounced ruinous naturally occurring environmental hazards in which human lives and properties are gravely endangered. This study assessed areas prone to flood in Ibadan City, Nigeria. The study applied two multi-criteria analysis approach—Analytical Hierarchy Process (AHP) and the Fuzzy Analytical Hierarchy Process (FAHP) with the aid of GIS. Ten geomorphological physical characteristics agreed upon by experts as the major factors influencing the susceptibility of an area to floods formed the criteria maps used in this study. The natural breaks and geometrical interval clustering techniques were utilised to group the final flood-prone area maps into five categories—very low, low, moderate, high, and very high. The result indicated that over 50% of the study area either have low or moderate susceptibility to flooding. The clustering techniques showed some slight differences in the flood classifications where natural breaks consistently grouped more areas into the “very high” category and relatively fewer areas to “very low” category in comparison to the geometrical interval technique. Overall, at least 451 km<sup>2</sup> (about 15% of Ibadan) is highly or very highly prone to floods, and these areas are mainly concentrated in the urban and semi-urban regions of the study area. The findings and maps developed in this study would adequately serve as a planning guide for the policymakers on urban development and flood risk management to achieve sustainable development and management.</p>\",\"PeriodicalId\":45876,\"journal\":{\"name\":\"Journal of Multi-Criteria Decision Analysis\",\"volume\":\"28 5-6\",\"pages\":\"283-295\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/mcda.1759\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Multi-Criteria Decision Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mcda.1759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Multi-Criteria Decision Analysis","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mcda.1759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 9

摘要

洪水是一种严重危害人类生命财产安全的、具有高度破坏性的自然环境灾害。这项研究评估了尼日利亚伊巴丹市容易发生洪水的地区。在GIS的辅助下,采用了层次分析法(AHP)和模糊层次分析法(FAHP)两种多准则分析方法。专家们一致认为影响一个地区洪水易感性的主要因素是十个地貌物理特征,形成了本研究中使用的标准图。利用自然断裂和几何间隔聚类技术,将最终的洪水易发区地图分为五类:极低、低、中、高和极高。结果表明,50%以上的研究区具有低易感性和中等易感性。与几何间隔技术相比,聚类技术在洪水分类上显示出一些细微的差异,其中自然断裂始终将更多的地区归为“非常高”类别,而将相对较少的地区归为“非常低”类别。总体而言,至少451平方公里(约占伊巴丹的15%)是高度或非常容易发生洪水的地区,这些地区主要集中在研究区的城市和半城市地区。本研究的结果和地图将充分为城市发展和洪水风险管理的决策者提供规划指南,以实现可持续发展和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flood-prone area mapping using GIS-based analytical hierarchy frameworks for Ibadan city, Nigeria

Flood is one of the highly pronounced ruinous naturally occurring environmental hazards in which human lives and properties are gravely endangered. This study assessed areas prone to flood in Ibadan City, Nigeria. The study applied two multi-criteria analysis approach—Analytical Hierarchy Process (AHP) and the Fuzzy Analytical Hierarchy Process (FAHP) with the aid of GIS. Ten geomorphological physical characteristics agreed upon by experts as the major factors influencing the susceptibility of an area to floods formed the criteria maps used in this study. The natural breaks and geometrical interval clustering techniques were utilised to group the final flood-prone area maps into five categories—very low, low, moderate, high, and very high. The result indicated that over 50% of the study area either have low or moderate susceptibility to flooding. The clustering techniques showed some slight differences in the flood classifications where natural breaks consistently grouped more areas into the “very high” category and relatively fewer areas to “very low” category in comparison to the geometrical interval technique. Overall, at least 451 km2 (about 15% of Ibadan) is highly or very highly prone to floods, and these areas are mainly concentrated in the urban and semi-urban regions of the study area. The findings and maps developed in this study would adequately serve as a planning guide for the policymakers on urban development and flood risk management to achieve sustainable development and management.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信