Multisector Risk Identification to Assess Resilience to Flooding
Climate trends suggest an increase in the frequency of intense rainfall events and the aggravation of existing conditions in terms of flooding in urban areas. In coastal areas, conditions are aggravated by coexistence with coastal overtopping. Flood risk control is complex, and the interdependencies...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Climate |
Subjects: | |
Online Access: | https://www.mdpi.com/2225-1154/9/5/73 |
_version_ | 1797535733914796032 |
---|---|
author | Maria do Céu Almeida Maria João Telhado Marco Morais João Barreiro |
author_facet | Maria do Céu Almeida Maria João Telhado Marco Morais João Barreiro |
author_sort | Maria do Céu Almeida |
collection | DOAJ |
description | Climate trends suggest an increase in the frequency of intense rainfall events and the aggravation of existing conditions in terms of flooding in urban areas. In coastal areas, conditions are aggravated by coexistence with coastal overtopping. Flood risk control is complex, and the interdependencies among the services and sectors in urban areas imply the need for adoption of approaches that embrace the interplay between service providers to ensure critical urban functions. Flooding incorporates several hazards. Assessment of resilience to multiple hazards in complex environments benefits from integrated and multi-sectoral approaches. A common constraint resides in the limited data and tools available for undertaking these complex assessments. This paper proposes a risk-based methodology to assess urban areas’ resilience to flooding by addressing sectors’ interdependencies in a context of limited data and ready-to-use tools. Multisector flood risk identification is pursued with the support of a geographic information system and is applied to Lisbon with a focus on the cascading effects of drainage system failures on buildings, populations, mobility, waste management, and electricity supply. The results demonstrate the potential for combining data and knowledge from different sources with dual modelling approaches, thus allowing one to obtain trends of exposure and vulnerability to flooding for current and climate change scenarios. This methodology facilitates dialogue among stakeholders and decision levels by contributing to capacity building, and it contributes to sustainable development. |
first_indexed | 2024-03-10T11:49:36Z |
format | Article |
id | doaj.art-dbb7df82f30c48bf83e308dd34858261 |
institution | Directory Open Access Journal |
issn | 2225-1154 |
language | English |
last_indexed | 2024-03-10T11:49:36Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Climate |
spelling | doaj.art-dbb7df82f30c48bf83e308dd348582612023-11-21T17:52:33ZengMDPI AGClimate2225-11542021-04-01957310.3390/cli9050073Multisector Risk Identification to Assess Resilience to FloodingMaria do Céu Almeida0Maria João Telhado1Marco Morais2João Barreiro3Urban Water Unit, National Civil Engineering Laboratory, LNEC, Av. Brasil 101, 1700-066 Lisbon, PortugalLisbon City Council, Câmara Municipal de Lisboa, CML, Praça José Queirós 1–3° piso–Fração 5, 1800-237 Lisbon, PortugalAlmada City Council, Câmara Municipal de Almada, CMA, Rua dos Lusíadas, Bairro do Matadouro, 2805-027 Almada, PortugalCERIS, Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais 1, 1049-001 Lisbon, PortugalClimate trends suggest an increase in the frequency of intense rainfall events and the aggravation of existing conditions in terms of flooding in urban areas. In coastal areas, conditions are aggravated by coexistence with coastal overtopping. Flood risk control is complex, and the interdependencies among the services and sectors in urban areas imply the need for adoption of approaches that embrace the interplay between service providers to ensure critical urban functions. Flooding incorporates several hazards. Assessment of resilience to multiple hazards in complex environments benefits from integrated and multi-sectoral approaches. A common constraint resides in the limited data and tools available for undertaking these complex assessments. This paper proposes a risk-based methodology to assess urban areas’ resilience to flooding by addressing sectors’ interdependencies in a context of limited data and ready-to-use tools. Multisector flood risk identification is pursued with the support of a geographic information system and is applied to Lisbon with a focus on the cascading effects of drainage system failures on buildings, populations, mobility, waste management, and electricity supply. The results demonstrate the potential for combining data and knowledge from different sources with dual modelling approaches, thus allowing one to obtain trends of exposure and vulnerability to flooding for current and climate change scenarios. This methodology facilitates dialogue among stakeholders and decision levels by contributing to capacity building, and it contributes to sustainable development.https://www.mdpi.com/2225-1154/9/5/73climate changefloodinghazard exposure mappingrisk identificationsustainabilityurban resilience |
spellingShingle | Maria do Céu Almeida Maria João Telhado Marco Morais João Barreiro Multisector Risk Identification to Assess Resilience to Flooding Climate climate change flooding hazard exposure mapping risk identification sustainability urban resilience |
title | Multisector Risk Identification to Assess Resilience to Flooding |
title_full | Multisector Risk Identification to Assess Resilience to Flooding |
title_fullStr | Multisector Risk Identification to Assess Resilience to Flooding |
title_full_unstemmed | Multisector Risk Identification to Assess Resilience to Flooding |
title_short | Multisector Risk Identification to Assess Resilience to Flooding |
title_sort | multisector risk identification to assess resilience to flooding |
topic | climate change flooding hazard exposure mapping risk identification sustainability urban resilience |
url | https://www.mdpi.com/2225-1154/9/5/73 |
work_keys_str_mv | AT mariadoceualmeida multisectorriskidentificationtoassessresiliencetoflooding AT mariajoaotelhado multisectorriskidentificationtoassessresiliencetoflooding AT marcomorais multisectorriskidentificationtoassessresiliencetoflooding AT joaobarreiro multisectorriskidentificationtoassessresiliencetoflooding |