Abstract

Flooding events can produce significant disturbances in underground transport systems within urban areas and lead to economic and technical consequences, which can be worsened by variations in the occurrence of climate extremes. Within the framework of the European project RESCCUE (RESilience to cope with Climate Change in Urban arEas—a multi-sectorial approach focusing on water), climate projections for the city of Barcelona manifest meaningful increases in maximum rainfall intensities for the 2100 horizon. A better comprehension of these impacts and their conditions is consequently needed. A hydrodynamic modelling process was carried out on Barcelona Metro Line 3, as it was identified as vulnerable to pluvial flooding events. The Metro line and all its components are simulated in the urban drainage models as a system of computational link and nodes reproducing the main physical characteristics like slopes and cross-sections when embedded in the current 1D/2D hydrodynamic model of Barcelona used in the project RESCCUE. This study presents a risk analysis focused on ensuring transport service continuity in flood events. The results reveal that two of the 26 stations on Metro Line 3 are exposed to a high risk of flooding in current rainfall conditions, and 11 of the 26 stations on Metro Line 3 are exposed to a high risk of flooding in future rainfall conditions for a 20-year return period event, which affects Metro service in terms of increased risk. This research gives insights for stakeholders and policymakers to enhance urban flood risk management, as a reasonable approach to tackle this issue for Metro systems worldwide. This study provides a baseline for assessing potential flood outcomes in Metro systems and can be used to evaluate adaptation measures’ effectiveness.

Highlights

  • Current trends in the analysis of climate-driven events on urban societies, infrastructures, and services have guided study towards the direct and indirect impacts of these events, resulting in dSiussrtauinpatbiiolintys2w019it,h11in, xtFhOeRinPtEeErRdReEpVeInEdWent infrastructure systems

  • The Metro line and all its components are simulated in the urban drainage models as a system of computational link and nodes reproducing the main physical characteristics like slopes and cross-sections when embedded in the current 1D/2D hydrodynamic model of Barcelona used in the project RESCCUE

  • This study presents a novel integrated model to simulate flooding in the underground Metro system of Barcelona

Read more

Summary

Introduction

Current trends in the analysis of climate-driven events on urban societies, infrastructures, and services have guided study towards the direct and indirect impacts of these events, resulting in dSiussrtauinpatbiiolintys2w019it,h11in, xtFhOeRinPtEeErRdReEpVeInEdWent infrastructure systems. These studies draw our awarene2sosft2o6 the importance of analyzing the impacts generated by extreme events, such as heavy rainfall, flooding, stthoermimsuporgrtea,nacnedoofthaenraelyxtzrienmg ethneatuimraplapchtsengoemneernaatewdhbicyhesxetvreermeley ecvoemnptsr,omsuicshe caistyhseearvvyicersa.inTfhailsl, ifnlotrooddiuncgt,iosntoprmresesunrtsgeth, eanimdpootrhtaenr ceexotrfeamsseesnsaintugrMal eptrhoesnyosmteemnas’ wflohoicdhinsgeivmerpealyctsc,opmopinrtoinmgisteo tchitey rseesrevairccehs.gTaphiosninthtriosdtoupctiicoannpdrseusepnptosrttihnegitmhepomrtoatnivcaetioofnasslseeasdsiinngg tMhiestsrtoudsyys. 16 new systems, shaping the decarbonizing urban transport effort as a response to climate change [6]. Following the accelerated growth of cities and their Metro systems, and the increasing growth and cFoomllpolwexiintgy othfeMaectcreolenreattwedorgkrso,wththe aobficliittyietsoasntuddtyheainr dMiemtrporosvyesttehmesv, ualnndertahbeiliintycroefassiynsgtegmros warteh manodreccoommpplelexxit,yaocfcoMrdetirnognteotwthoerkhse,tethroegaebnileiittyytoofstthuedydiaffnedreimntpcroomveptohneevnutslnoefraablialritgyeosfcsaylestseymstseamre, smucohreacsoamtrpalenxs,paocrctonredtiwngortko [t7h]e. The probability of disruptions should consider many factors, the number of affected Metro stations, and the distance between them [8], along with several other factors

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call