Seismic Resilience of Egypt's Built Environment: A GIS-Based Framework for Assessment and Mitigation (Egypt-SeReAM)

埃及建筑环境的抗震能力:基于 GIS 的评估和缓解框架 (Egypt-SeReAM)

基本信息

  • 批准号:
    EP/Y000900/1
  • 负责人:
  • 金额:
    $ 17.01万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2024
  • 资助国家:
    英国
  • 起止时间:
    2024 至 无数据
  • 项目状态:
    未结题

项目摘要

Natural disasters can have dire effects on countries, in the form of human casualties/injuries, infrastructure damage, economic and environmental losses. Earthquakes, in particular, are the most damaging as they are responsible for an annual death toll of over 20K and 20% of the total annual economic losses due to natural disasters. In low-income or developing countries, earthquake impacts are exacerbated, leading to substantial human loss, injuries, homelessness, and population displacement. Irreparable infrastructure damage can also have a great economic impact reaching 20% of a country's gross domestic income, leading to disruption of economic growth and development.Acknowledging this problem, there has been growing national interest in assessing regional seismic risk and loss for major cities. Several countries initiated Disaster Risk Management (DRM) programs which make use of the interdisciplinary advances in science and technology to model the complex interaction of hazard, exposure, and vulnerability and compute loss metrics that can be used by stakeholders and decision-makers to quantify of potential structural, economic, and social consequences, identify critical infrastructure components, outline pre-disaster damage mitigation measures and policies, and planning for post-disaster response protocols.Egypt, a lower-income country and one of Africa's most populated countries, is highly susceptible to the impacts of natural hazards (flooding, rising sea levels, and earthquakes). Several major cities, with populations larger than 5M and overly populated urban centers, are subject to high seismic risk triggered by risk drives such as poverty, climate change, decades of poor construction practices, and absence of municipal oversight. Countries with similar urban conditions, such as Albania and Turkey, experienced a wide extent of damage and losses from recent earthquakes. These countries, and others, allocate extensive funding and resources for DRM. On the other hand, the safety and robustness of Egypt's infrastructure is greatly under-researched. Although several studies investigated the seismic hazard for Egypt's major cities, no attention has been paid so far to either collapse risk assessment or loss and damage estimations (urban exposure, vulnerabilities, and resilience).Egypt-SeReAM will build on and further develop existing DRM methodologies to create such a digital framework for assessing the seismic resilience of Egypt's vulnerable built environment. A partnership between the University of Southampton, three of Egypt's top academic and research institutions will undertake this project combining different disciplines spanning urban planning, seismology, and structural engineering. The project will use the city of Alexandria as a pilot case study to establish the building blocks of the DRM framework concerned with built-environment resilience. The seismic vulnerability of Alexandria's urban center will be assessed, in terms of human, structural, and economic losses due to potential damage to the residential building stock. In the process, spatial urban, geotechnical, structural, and hazard data will be collected and an automated digital framework will be developed to quantify risk and loss under potential earthquake scenarios. The project will employ the geographic information system (GIS) mapping system to describe and communicate the earthquake consequences to the government, academia, industry, and public sectors. This will be packaged within an easily-to-use practice-oriented digital workflow that will assist authorities in making effective decisions for seismic protection measures to minimize potential damage and losses (primarily human, but financial as well) in future earthquakes. Through networking, training, and showcasing activities, the project will promote and specifically target Egypt's short- and long-term resilience to natural disasters, in support of its economic development.
自然灾害可能对国家造成可怕的影响,表现为人员伤亡、基础设施损坏、经济和环境损失。尤其是地震,其破坏性最大,每年造成超过 2 万人死亡,占自然灾害年度经济损失总额的 20%。在低收入或发展中国家,地震影响加剧,导致大量人员伤亡、无家可归和人口流离失所。不可挽回的基础设施损坏还会产生巨大的经济影响,达到一个国家国内总收入的 20%,从而导致经济增长和发展中断。认识到这一问题,国家对评估主要城市的区域地震风险和损失越来越感兴趣。一些国家启动了灾害风险管理 (DRM) 计划,该计划利用跨学科的科学技术进步来模拟灾害、暴露度和脆弱性之间复杂的相互作用,并计算损失指标,利益相关者和决策者可以使用这些指标来量化灾害风险管理(DRM)计划。潜在的结构、经济和社会后果,确定关键基础设施组成部分,概述灾前减轻损失措施和政策,并规划灾后响应协议。埃及是一个低收入国家,也是非洲人口最多的国家之一,容易受到以下因素的影响自然灾害(洪水、海平面上升和地震)。一些人口超过 500 万的大城市以及人口过多的城市中心,由于贫困、气候变化、数十年不良建筑实践和缺乏市政监管等风险驱动因素而引发高地震风险。阿尔巴尼亚和土耳其等城市状况类似的国家在最近的地震中遭受了大范围的破坏和损失。这些国家和其他国家为灾害风险管理分配了大量资金和资源。另一方面,埃及基础设施的安全性和稳健性的研究还远远不够。尽管有几项研究调查了埃及主要城市的地震灾害,但迄今为止尚未关注倒塌风险评估或损失和损害估计(城市暴露度、脆弱性和复原力)。Egypt-SeReAM 将在现有 DRM 的基础上进一步发展创建这样一个数字框架来评估埃及脆弱的建筑环境的抗震能力。南安普顿大学与埃及三个顶级学术和研究机构之间的合作伙伴关系将承担这个项目,该项目结合了城市规划、地震学和结构工程等不同学科。该项目将利用亚历山大市作为试点案例研究,建立与建筑环境复原力相关的灾害风险管理框架的组成部分。亚历山大市中心的地震脆弱性将根据住宅建筑潜在损坏造成的人员、结构和经济损失进行评估。在此过程中,将收集空间城市、岩土、结构和灾害数据,并开发自动化数字框架,以量化潜在地震情景下的风险和损失。该项目将采用地理信息系统(GIS)绘图系统来描述地震后果并向政府、学术界、工业界和公共部门传达地震后果。这将被打包在一个易于使用的、面向实践的数字工作流程中,该工作流程将帮助当局就地震防护措施做出有效的决策,以最大程度地减少未来地震中的潜在损害和损失(主要是人员,但也包括财务)。通过网络、培训和展示活动,该项目将促进并专门针对埃及的短期和长期自然灾害抵御能力,以支持其经济发展。

项目成果

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Ahmed Elkady其他文献

COMPARISON OF DEGREE OF CONVERSION AND MICROLEAKAGE IN BULKFILL FLOWABLE COMPOSITE AND CONVENTIONAL FLOWABLE COMPOSITE(AN IN VITRO STUDY)
散装可流动复合材料和传统可流动复合材料的转化率和微泄漏比较(体外研究)
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Alshaimaa A. Elhawary;Ahmed Elkady;A. Kamar
  • 通讯作者:
    A. Kamar
ANN-Based Model for Predicting the Nonlinear Response of Flush Endplate Connections
基于 ANN 的平端板连接非线性响应预测模型
EVALUATION OF DIGITAL SMILE DESIGN FOR CLOSURE OF MAXILLARY MEDIAN DIASTEMA WITH PORCELAIN LAMINATE VENEERS (CLINICAL TRIAL)
用烤瓷牙贴面闭合上颌中线纵裂的数字微笑设计的评估(临床试验)
  • DOI:
    10.21608/adjalexu.2021.57220.1153
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mohamed Hussein;Ahmed Elkady;Mahmoud Alsharkawy
  • 通讯作者:
    Mahmoud Alsharkawy
Predicting Flush End‐Plate Connections Response Using Artificial Neural Networks
使用人工神经网络预测齐平端板连接响应
  • DOI:
    10.1002/cepa.2241
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gregory Georgiou;Ahmed Elkady
  • 通讯作者:
    Ahmed Elkady

Ahmed Elkady的其他文献

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