Scholarlink

<p>This study delivers the first comprehensive microzonation-based seismic risk assessment for the Al-Seeb region in Muscat, Oman. It integrates geotechnical, structural, environmental, and socio-economic vulnerability factors using a Geographical Information System (GIS) based multi-criteria framework. The Analytic Hierarchy Process (AHP) was employed to systematically weight and integrate these indicators, ensuring an objective evaluation of their relative influence on overall seismic vulnerability. Moving beyond traditional methods, it translates microzonation data into spatially distributed Average Annual Loss (AAL) zones and estimates economic impacts through Loss Exceedance Curves (LEC) and Probable Maximum Loss (PML). By coupling detailed hazard zonation with building typologies and infrastructure exposure, the study develops an asset-level risk profile, revealing sharp spatial variations in seismic risk driven by site conditions and construction quality. The results serve as a vital planning tool for civil authorities, aligning with Oman Vision 2040 and United Nations Sustainable Development Goal (UN SDG) 11. The approach offers a scalable model for rapidly urbanizing Gulf cities such as Doha, Riyadh, Dubai, and Kuwait, providing a data-informed foundation for enhancing infrastructure resilience and strengthening disaster risk management strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Modeling seismic risk and economic loss for urban sustainability: insights from a Gulf city

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月3日

查看全文
  • Abdullah Ansari,
  • Issa El-Hussain,
  • Yousuf Al-Shijbi,
  • Ayed E. Alluqmani,
  • Hajar Al-Qayoudhi,
  • Yewuhalashet Fissha,
  • Shima Albalushi,
  • Badee Alshameri

摘要

This study delivers the first comprehensive microzonation-based seismic risk assessment for the Al-Seeb region in Muscat, Oman. It integrates geotechnical, structural, environmental, and socio-economic vulnerability factors using a Geographical Information System (GIS) based multi-criteria framework. The Analytic Hierarchy Process (AHP) was employed to systematically weight and integrate these indicators, ensuring an objective evaluation of their relative influence on overall seismic vulnerability. Moving beyond traditional methods, it translates microzonation data into spatially distributed Average Annual Loss (AAL) zones and estimates economic impacts through Loss Exceedance Curves (LEC) and Probable Maximum Loss (PML). By coupling detailed hazard zonation with building typologies and infrastructure exposure, the study develops an asset-level risk profile, revealing sharp spatial variations in seismic risk driven by site conditions and construction quality. The results serve as a vital planning tool for civil authorities, aligning with Oman Vision 2040 and United Nations Sustainable Development Goal (UN SDG) 11. The approach offers a scalable model for rapidly urbanizing Gulf cities such as Doha, Riyadh, Dubai, and Kuwait, providing a data-informed foundation for enhancing infrastructure resilience and strengthening disaster risk management strategies.