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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru
Alain Jorge Espinoza Vigil1,2, Joel Ccanccapa Puma3, Alan Huarca Pulcha3,4
1School of Civil Engineering, Catholic University of Santa Maria, San Jose Urbanization, Yanahuara District, Arequipa, 04013, Peru. aespinozav@ucsm.edu.pe.
Abstract:
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.
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