Literature DB >> 23985513

Methodology for qualitative urban flooding risk assessment.

João P Leitão1, Maria do Céu Almeida, Nuno E Simões, André Martins.   

Abstract

Pluvial or surface flooding can cause significant damage and disruption as it often affects highly urbanised areas. Therefore it is essential to accurately identify consequences and assess the risks associated with such phenomena. The aim of this study is to present the results and investigate the applicability of a qualitative flood risk assessment methodology in urban areas. This methodology benefits from recent developments in urban flood modelling, such as the dual-drainage modelling concept, namely one-dimensional automatic overland flow network delineation tools (e.g. AOFD) and 1D/1D models incorporating both surface and sewer drainage systems. To assess flood risk, the consequences can be estimated using hydraulic model results, such as water velocities and water depth results; the likelihood was estimated based on the return period of historical rainfall events. To test the methodology two rainfall events with return periods of 350 and 2 years observed in Alcântara (Lisbon, Portugal) were used and three consequence dimensions were considered: affected public transportation services, affected properties and pedestrian safety. The most affected areas in terms of flooding were easily identified; the presented methodology was shown to be easy to implement and effective to assess flooding risk in urban areas, despite the common difficulties in obtaining data.

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Year:  2013        PMID: 23985513     DOI: 10.2166/wst.2013.310

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  Household sanitation is associated with lower risk of bacterial and protozoal enteric infections, but not viral infections and diarrhoea, in a cohort study in a low-income urban neighbourhood in Vellore, India.

Authors:  David Berendes; Juan Leon; Amy Kirby; Julie Clennon; Suraja Raj; Habib Yakubu; Katharine Robb; Arun Kartikeyan; Priya Hemavathy; Annai Gunasekaran; Sheela Roy; Ben Chirag Ghale; J Senthil Kumar; Venkata Raghava Mohan; Gagandeep Kang; Christine Moe
Journal:  Trop Med Int Health       Date:  2017-07-17       Impact factor: 2.622

2.  How Can Cities Respond to Flood Disaster Risks under Multi-Scenario Simulation? A Case Study of Xiamen, China.

Authors:  Yijun Shi; Guofang Zhai; Shutian Zhou; Yuwen Lu; Wei Chen; Jinyang Deng
Journal:  Int J Environ Res Public Health       Date:  2019-02-20       Impact factor: 3.390

  2 in total

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