• 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

评估热带气旋风险,以改善印度奥里萨邦沿海地区的缓解策略。

Assessing tropical cyclone risk for improving mitigation strategies in Coastal Odisha, India.

机构信息

Department of Geography, Faculty of Sciences, Jamia Millia Islamia, New Delhi, 110025, India.

出版信息

Environ Sci Pollut Res Int. 2024 Sep;31(41):53856-53876. doi: 10.1007/s11356-024-33017-2. Epub 2024 Apr 2.

DOI:10.1007/s11356-024-33017-2
PMID:38565817
Abstract

Tropical cyclone causes large-scale devastation and destruction in the coastal plains of India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical cyclones are projected to be more powerful and widespread due to changing climate. Hence, the risk assessment of tropical cyclone is necessary to identify cyclone-risk areas in coastal Odisha which may help in the mitigation of the damages caused by cyclones. Therefore, this study utilizes geospatial techniques to produce a comprehensive risk map posed by tropical cyclones and to estimate the degree of risk for coastal districts of Odisha. For this, we evaluated the district-level cyclone risk for coastal Odisha using multi-criteria decision-making (MCDM) technique by considering 21 parameters for each of the four components of risk, i.e., exposure, hazard, vulnerability, as well as mitigation capacity. For each criterion, thematic raster map layers were created and weighted using a fuzzy analytical hierarchy process (FAHP). We prepared individual risk component maps using weighted overlay techniques and finally integrated all indices to create the risk map. The study shows that 13% area of the study area comes under a very high-risk zone whereas, 25% area comes under a high-risk zone. The central (Cuttack, northern parts of Khordha, and south-western parts of Jajpur district) and the eastern part (most of the parts of Jagatsinghpur, Kendrapara, and northern parts of Puri district) of the study area come under high to very high tropical cyclone impact zone. Almost 67% of the total area is highly vulnerable to tropical cyclones and mainly concentrated near the shoreline. The applied approach and results can assist the local authorities in identifying vulnerable and hazardous locations and developing workable solutions for the mitigation of revised cyclone threats in the coastal districts of Odisha.

摘要

热带气旋在印度沿海平原造成大规模破坏,特别是在奥里萨邦,奥里萨邦是该国受气旋影响最严重的邦。由于气候变化,预计热带气旋将更加强大和广泛。因此,需要对热带气旋进行风险评估,以确定奥里萨邦沿海地区的气旋风险区域,这有助于减轻气旋造成的破坏。因此,本研究利用地理空间技术制作了一份全面的热带气旋风险图,并估计了奥里萨邦沿海地区的风险程度。为此,我们使用多准则决策(MCDM)技术评估了奥里萨邦沿海地区的地区级气旋风险,考虑了风险的四个组成部分(即暴露、危害、脆弱性以及减轻能力)的每个部分的 21 个参数。对于每个标准,我们创建了专题栅格地图层,并使用模糊层次分析法(FAHP)对其进行加权。我们使用加权叠加技术制作了各个风险组成部分的地图,最后将所有指数整合在一起创建了风险图。研究表明,研究区域的 13%的面积属于极高风险区,而 25%的面积属于高风险区。该研究区域的中心(库塔克、霍尔达的北部和贾贾布尔区的西南部)和东部(贾加特辛格布尔、坎德拉帕拉和普里区的北部的大部分地区)属于高到极高的热带气旋影响区。几乎 67%的总面积极易受到热带气旋的影响,主要集中在海岸线附近。所应用的方法和结果可以帮助地方当局识别脆弱和危险区域,并制定可行的解决方案,以减轻奥里萨邦沿海地区修订后的气旋威胁。

相似文献

1
Assessing tropical cyclone risk for improving mitigation strategies in Coastal Odisha, India.评估热带气旋风险,以改善印度奥里萨邦沿海地区的缓解策略。
Environ Sci Pollut Res Int. 2024 Sep;31(41):53856-53876. doi: 10.1007/s11356-024-33017-2. Epub 2024 Apr 2.
2
Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh.利用地理空间技术对孟加拉国东部沿海地区的热带气旋风险评估。
Sci Total Environ. 2019 Nov 20;692:10-22. doi: 10.1016/j.scitotenv.2019.07.132. Epub 2019 Jul 9.
3
Multi-hazard risk assessment of coastal vulnerability from tropical cyclones - A GIS based approach for the Odisha coast.沿海地区热带气旋灾害脆弱性的多灾害风险评估——基于 GIS 的奥里萨邦海岸方法。
J Environ Manage. 2018 Jan 15;206:1166-1178. doi: 10.1016/j.jenvman.2017.10.075. Epub 2017 Nov 8.
4
Assessment of impacts to the sequence of the tropical cyclone Nisarga and monsoon events in shoreline changes and vegetation damage in the coastal zone of Maharashtra, India.评估热带气旋“尼萨加”和季风事件对印度马哈拉施特拉邦沿海地区海岸线变化和植被破坏的序列的影响。
Mar Pollut Bull. 2022 Jan;174:113262. doi: 10.1016/j.marpolbul.2021.113262. Epub 2021 Dec 27.
5
Determination of vulnerable zones along Brahmapur coast, Odisha using AHP and GIS with validation against multiple cyclones.利用层次分析法(AHP)和地理信息系统(GIS)确定奥里萨邦布拉马普特拉沿海地区的脆弱带,并与多次气旋进行验证。
Environ Monit Assess. 2022 Mar 15;194(4):278. doi: 10.1007/s10661-022-09886-w.
6
Assessment of cyclone risk and case study of Gaja cyclone using GIS techniques and machine learning algorithms in coastal zone of Tamil Nadu, India.利用地理信息系统(GIS)技术和机器学习算法评估印度泰米尔纳德邦沿海地区的气旋风险及加贾气旋案例研究。
Environ Res. 2024 Apr 1;246:118089. doi: 10.1016/j.envres.2023.118089. Epub 2023 Dec 30.
7
Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019: a multi-country time-series study.全球与热带气旋相关的短期死亡风险和负担:1980 年至 2019 年多国时间序列研究。
Lancet Planet Health. 2023 Aug;7(8):e694-e705. doi: 10.1016/S2542-5196(23)00143-2.
8
Cyclone-induced coastal vulnerability, livelihood challenges and mitigation measures of Matla-Bidya inter-estuarine area, Indian Sundarban.印度孙德尔本斯马特拉-比迪亚河口间地区气旋引发的沿海脆弱性、生计挑战及缓解措施
Nat Hazards (Dordr). 2023;116(3):3857-3878. doi: 10.1007/s11069-023-05840-2. Epub 2023 Feb 14.
9
Risk of extreme events in delta environment: A case study of the Mahanadi delta.三角洲环境下的极端事件风险:以马哈德维三角洲为例。
Sci Total Environ. 2019 May 10;664:713-723. doi: 10.1016/j.scitotenv.2019.01.390. Epub 2019 Feb 5.
10
Risk mapping of Indian coastal districts using IPCC-AR5 framework and multi-attribute decision-making approach.利用 IPCC-AR5 框架和多属性决策方法对印度沿海地区进行风险测绘。
J Environ Manage. 2021 Sep 15;294:112948. doi: 10.1016/j.jenvman.2021.112948. Epub 2021 Jun 15.