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<p>Riverine bridges are critical yet vulnerable infrastructure, constantly exposed to hydrological hazards&#xa0;substantially increased by climate change. Consequently, they require designs that ensure resilience and an adequate useful life cycle. This data descriptor presents data used in two scientific studies focused on assessing the vulnerability of bridges spanning the Chili River in the city of Arequipa, Peru, mainly through hydrological data, terrain and soil data and hydraulic modeling. Therefore, the data employed in both studies enable vulnerability assessments of bridges that encompass both quantitative and qualitative aspects, addressing the data gap in research related to the assessment of riverine bridges. Both studies, by incorporating a diverse range of data types, collectively provide a comprehensive framework for the analysis of riverine bridge vulnerability, rather than functioning as independent investigations. Such data not only serves to assess bridge vulnerability but can also be integrated into future research on infrastructure risk assessments. Proper management of the data presented herein can inform decision-making processes for authorities responsible for implementing resilient and sustainable&#xa0;infrastructure.</p>

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Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月13日

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  • Alain Jorge Espinoza Vigil,
  • Joel Ccanccapa Puma,
  • Alan Huarca Pulcha,
  • Alejandra Ticona-Quispe,
  • Diego Huarcaya-Perez,
  • Alberth Gonzales-Turpo,
  • Roly Cusihuaman-Casquina,
  • Flor Lucana-Hancco,
  • Julian Booker

摘要

Riverine bridges are critical yet vulnerable infrastructure, constantly exposed to hydrological hazards substantially increased by climate change. Consequently, they require designs that ensure resilience and an adequate useful life cycle. This data descriptor presents data used in two scientific studies focused on assessing the vulnerability of bridges spanning the Chili River in the city of Arequipa, Peru, mainly through hydrological data, terrain and soil data and hydraulic modeling. Therefore, the data employed in both studies enable vulnerability assessments of bridges that encompass both quantitative and qualitative aspects, addressing the data gap in research related to the assessment of riverine bridges. Both studies, by incorporating a diverse range of data types, collectively provide a comprehensive framework for the analysis of riverine bridge vulnerability, rather than functioning as independent investigations. Such data not only serves to assess bridge vulnerability but can also be integrated into future research on infrastructure risk assessments. Proper management of the data presented herein can inform decision-making processes for authorities responsible for implementing resilient and sustainable infrastructure.