Remote sensing-based assessment of tsunami vulnerability and risk in Alexandria, Egypt

被引:48
|
作者
Eckert, Sandra [1 ]
Jelinek, Robert [1 ]
Zeug, Gunter [1 ]
Krausrnann, Elisabeth [1 ]
机构
[1] European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21021 Ispra, VA, Italy
关键词
Tsunami; Risk; Vulnerability; Hazard; Remote sensing; Geographical information systems; HAZARD; BUILDINGS;
D O I
10.1016/j.apgeog.2011.08.003
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Tsunamis can cause catastrophic loss of life, destruction of property, engineered structures and coastal infrastructure, and they can lead to major economic losses. Even though tsunamis are relatively rare in the Mediterranean Sea, their potential danger to cities along the Mediterranean coast cannot be neglected. In order to create awareness among the potentially affected people it is important to know the risk and vulnerability of the population and infrastructure related to a possible tsunami impact. In this work a hazard, vulnerability and risk analysis for buildings in two districts of Alexandria was carried out. Relevant input parameters were derived mainly from remote sensing and field data and were analyzed with a geographical information system (GIS). Based on historical records of past tsunamis, two inundation scenarios of 5 m and 9 m were defined and modeled applying a bath-type model. The resulting tsunami building risk zone maps showed that 12% of the buildings in El Gomrok district are at high or very high risk for the 5 m scenario, while the risk for El Montazah area is low. For the 9 m scenario, on the other hand, the majority of the buildings in both districts, 56% of El Gomrok, and 60% of El Montazah, are in the high or very high risk zone. An analysis of the building use indicated that the majority of these buildings are residential and commercial types, highlighting that the potential consequences of a tsunami could be severe. Due to the scarcity of historical data no frequency could be associated with the two selected scenarios. While both are credible we consider the 5 m scenario as possible but unlikely and the 9 m scenario as unlikely. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:714 / 723
页数:10
相关论文
共 50 条
  • [31] Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review
    Ghaffarian, Saman
    Kerle, Norman
    Filatova, Tatiana
    [J]. REMOTE SENSING, 2018, 10 (11)
  • [32] Remote Sensing and GIS Approach for Tsunami Damage Assessment
    Zheng Jianhu
    Li Jianfeng
    Kui Qiao
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT SCIENCE AND INFORMATION SYSTEM, VOLS 1-4, 2009, : 1575 - 1577
  • [33] Remote sensing-based comparative damage assessment of historical storms and hurricanes in Northwestern Florida
    Karaer, Alican
    Chen, Mingyang
    Gazzea, Michele
    Ghorbanzadeh, Mahyar
    Abichou, Tarek
    Arghandeh, Reza
    Ozguven, Eren Erman
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2022, 72
  • [34] Remote Sensing-Based Methodology for the Quick Update of the Assessment of the Population Exposed to Natural Hazards
    Boni, Giorgio
    De Angeli, Silvia
    Taramasso, Angela Celeste
    Roth, Giorgio
    [J]. REMOTE SENSING, 2020, 12 (23) : 1 - 18
  • [35] Remote Sensing and GIS Based Approach for Vulnerability Assessment of an Agricultural Watershed
    Sharma, Arabinda
    [J]. INTERNATIONAL JOURNAL OF ECOLOGY & DEVELOPMENT, 2010, 17 (03) : 89 - 100
  • [36] Probability assessment of vegetation vulnerability to drought based on remote sensing data
    Esmail Heydari Alamdarloo
    Maliheh Behrang Manesh
    Hassan Khosravi
    [J]. Environmental Monitoring and Assessment, 2018, 190
  • [37] Probability assessment of vegetation vulnerability to drought based on remote sensing data
    Alamdarloo, Esmail Heydari
    Manesh, Maliheh Behrang
    Khosravi, Hassan
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (12)
  • [38] Assessment of Spatiotemporal Characteristic of Droughts Using In Situ and Remote Sensing-Based Drought Indices
    Jalayer, Sepideh
    Sharifi, Alireza
    Abbasi-Moghadam, Dariush
    Tariq, Aqil
    Qin, Shujing
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 1483 - 1502
  • [39] Remote Sensing-Based Revegetation Assessment at Post-Closure Mine Sites in Canada
    Gordon, Sam
    Xu, Xiaoyong
    Wang, Yanyu
    [J]. SUSTAINABILITY, 2023, 15 (14)
  • [40] Remote Sensing-Based Assessment of the Crop, Energy and Water Nexus in the Central Valley, California
    Alam, Sarfaraz
    Gebremichael, Mekonnen
    Li, Ruopu
    [J]. REMOTE SENSING, 2019, 11 (14)