• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

尼日利亚拉各斯维多利亚岛的空间知识与洪水防备

Spatial knowledge and flood preparedness in Victoria Island, Lagos, Nigeria.

作者信息

Bako Abdullateef, Ojolowo Saeed K

机构信息

Department of Urban and Regional Planning, Faculty of Environmental Sciences, University of Ilorin, Kwara State, Nigeria.

Department of Urban and Regional Planning, Faculty of Environmental Design and Management, University of Ibadan, Oyo State, Nigeria.

出版信息

Jamba. 2021 Mar 5;13(1):825. doi: 10.4102/jamba.v13i1.825. eCollection 2021.

DOI:10.4102/jamba.v13i1.825
PMID:33824702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8008089/
Abstract

There is inadequate flood preparedness in Victoria Island, Lagos, Nigeria; because when the flood struck on 08 July 2017, several properties were destroyed without any extant means to salvage them. This article investigated the relationship between spatial knowledge and flood preparedness in Victoria Island. The variables employed to measure spatial knowledge include knowledge of: elevation of land, distance between Lagos lagoon and Atlantic Ocean, characteristics of surrounding water bodies and building-plot ratio. Major roads were used to subdivide Victoria Island into four zones. Zone A had 799 buildings, zone B had 813 buildings, zone C had 749 buildings and zone D had 887 buildings. Of the total 3248 buildings, 344 buildings were selected, and one household head per building was selected and systematically sampled. A multinomial logit regression model was used in data analysis at ≤ 0.05. The findings revealed that spatial knowledge accounted for only 25.8% of the explanation of inadequate flood preparedness. Only 6.1% of the respondents could distinguish height from elevation; those who explained density and setbacks correctly were 7.85% and 12.2%, respectively. Respondents who stated the distance between Lagos lagoon and Atlantic Ocean correctly and exhibited means of preparedness were 13.7%, respectively. However, 74.4% described the primary and secondary water bodies and their flow pattern correctly. Although inadequate spatial knowledge did not statistically account for poor flood preparedness, yet majority of the respondents neither prepared adequately for the annual flood event, nor exhibited adequate spatial knowledge. Therefore, other factors require investigation, whilst residents should acquire spatial flood-related education to influence their sense of flood preparedness.

摘要

尼日利亚拉各斯维多利亚岛的洪水防备措施不足;因为在2017年7月8日洪水来袭时,多处房产被摧毁,却没有任何现存的手段来挽救它们。本文研究了维多利亚岛空间知识与洪水防备之间的关系。用于衡量空间知识的变量包括:陆地海拔、拉各斯泻湖与大西洋之间的距离、周边水体特征以及建筑容积率。主要道路被用于将维多利亚岛划分为四个区域。A区有799栋建筑,B区有813栋建筑,C区有749栋建筑,D区有887栋建筑。在总共3248栋建筑中,选取了344栋建筑,并从每栋建筑中选取一名户主进行系统抽样。数据分析采用多项逻辑回归模型,显著性水平≤0.05。研究结果表明,空间知识仅占洪水防备不足解释的25.8%。只有6.1%的受访者能够区分高度和海拔;正确解释密度和退缩距离的受访者分别为7.85%和12.2%。正确说出拉各斯泻湖与大西洋之间的距离并展示防备手段的受访者分别为13.7%。然而,74.4%的受访者正确描述了主要和次要水体及其水流模式。虽然空间知识不足在统计学上并不能解释洪水防备不佳的情况,但大多数受访者既没有为年度洪水事件做好充分准备,也没有表现出足够的空间知识。因此,需要调查其他因素,同时居民应该接受与洪水相关的空间教育,以影响他们的洪水防备意识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/5a7f20167ceb/JAMBA-13-825-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/c108f600cceb/JAMBA-13-825-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/4d4537f0961b/JAMBA-13-825-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/a53dc2dcf475/JAMBA-13-825-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/ea7c2c24afb5/JAMBA-13-825-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/5a7f20167ceb/JAMBA-13-825-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/c108f600cceb/JAMBA-13-825-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/4d4537f0961b/JAMBA-13-825-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/a53dc2dcf475/JAMBA-13-825-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/ea7c2c24afb5/JAMBA-13-825-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ff/8008089/5a7f20167ceb/JAMBA-13-825-g005.jpg

相似文献

1
Spatial knowledge and flood preparedness in Victoria Island, Lagos, Nigeria.尼日利亚拉各斯维多利亚岛的空间知识与洪水防备
Jamba. 2021 Mar 5;13(1):825. doi: 10.4102/jamba.v13i1.825. eCollection 2021.
2
Household flood preparedness and associated factors in the flood-prone community of Dembia district, Amhara National Regional State, northwest Ethiopia.埃塞俄比亚西北部阿姆哈拉民族州登比亚区洪水易发社区的家庭洪水防备及相关因素
Risk Manag Healthc Policy. 2017 May 31;10:95-106. doi: 10.2147/RMHP.S127511. eCollection 2017.
3
Household disaster awareness and preparedness: A case study of flood hazards in Asamankese in the West Akim Municipality of Ghana.家庭灾害意识与准备:以加纳西部阿基姆市阿萨曼凯塞的洪水灾害为例的研究
Jamba. 2019 Nov 25;11(1):789. doi: 10.4102/jamba.v11i1.789. eCollection 2019.
4
Dynamic impact assessment of urban floods on the compound spatial network of buildings-roads-emergency service facilities.城市洪水对建筑物-道路-应急服务设施复合空间网络的动态影响评估
Sci Total Environ. 2024 May 20;926:172007. doi: 10.1016/j.scitotenv.2024.172007. Epub 2024 Mar 27.
5
The Impact of Perceived Flood Exposure on Flood-Risk Perception: The Role of Distance.感知洪水暴露对洪水风险感知的影响:距离的作用。
Risk Anal. 2016 Nov;36(11):2158-2186. doi: 10.1111/risa.12597. Epub 2016 Apr 4.
6
Spatial distribution of benthic foraminifera in the Lagos Lagoon (Nigeria): Tracing the impact of environmental perturbations.拉各斯泻湖(尼日利亚)底栖有孔虫的空间分布:追踪环境扰动的影响。
PLoS One. 2020 Dec 7;15(12):e0243481. doi: 10.1371/journal.pone.0243481. eCollection 2020.
7
Flood disaster preparedness experiences of hospital personnel in Thailand: A qualitative study.泰国医院工作人员的洪灾备灾经验:一项定性研究。
Australas Emerg Care. 2018 Aug;21(3):87-92. doi: 10.1016/j.auec.2018.07.002. Epub 2018 Sep 5.
8
Urban flood risk assessment and analysis with a 3D visualization method coupling the PP-PSO algorithm and building data.采用耦合 PP-PSO 算法和建筑物数据的 3D 可视化方法进行城市洪水风险评估与分析。
J Environ Manage. 2020 Aug 15;268:110521. doi: 10.1016/j.jenvman.2020.110521. Epub 2020 May 14.
9
Family emergency plan and preparedness among medical practitioners in Zaria, Nigeria.尼日利亚扎里亚市医学从业者的家庭应急计划与准备情况
J Emerg Manag. 2016 Nov/Dec;14(6):423-430. doi: 10.5055/jem.2016.0306.
10
A Cross-Sectional Study on the Flood Emergency Preparedness among Healthcare Providers in Saudi Arabia.沙特阿拉伯医护人员洪水应急准备情况的横断面研究。
Int J Environ Res Public Health. 2021 Feb 2;18(3):1329. doi: 10.3390/ijerph18031329.

引用本文的文献

1
Social impacts and post-disaster management in disaster-prone areas of East Java, Indonesia.印度尼西亚东爪哇易受灾地区的社会影响与灾后管理
Jamba. 2024 Nov 20;16(1):1747. doi: 10.4102/jamba.v16i1.1747. eCollection 2024.
2
The relationship between knowledge and disaster preparedness of undergraduates responding to forest fires.本科学生应对森林火灾的知识与灾害准备之间的关系。
Jamba. 2023 Feb 28;15(1):1408. doi: 10.4102/jamba.v15i1.1408. eCollection 2023.

本文引用的文献

1
Traditional knowledge system in disaster risk reduction: Exploration, acknowledgement and proposition.灾害风险减少中的传统知识体系:探索、认可与提议。
Jamba. 2019 Jun 4;11(1):484. doi: 10.4102/jamba.v11i1.484. eCollection 2019.