Highlighting the role of the model user and physical interpretation in urban flooding simulation

Author:

de Sousa Matheus Martins1ORCID,de Oliveira Antonio Krishnamurti Beleño2ORCID,Rezende Osvaldo Moura3ORCID,de Magalhães Paula Morais Canedo2ORCID,Pitzer Jacob Ana Caroline4,de Magalhães Paulo Canedo5,Miguez Marcelo Gomes1ORCID

Affiliation:

1. a Escola Politécnica, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

2. b Programa de Engenharia Civil, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

3. c Escola Politécnica, Programa de Engenharia Ambiental, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

4. d Aquafluxus Consultoria Ambiental em Recursos Hídricos, Rio de Janeiro, Brazil

5. e Programa de Engenharia Ambiental, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

Abstract

Abstract Technological evolution survey allowed the broad use of 2D mathematical models for flood simulation. However, it is possible that the answer required for a given problem does not need a 2D approximation or even does not configure a 2D surface solution. Urban flood simulations may fall in this second case, since urban structures may interact with flood flows and introduce discontinuities in the surface solution. This study aims to highlight the discussion about the physical interpretation and the modeller role as key elements in the interpretation and representation of physical systems. To support this proposal, the MODCEL, a Quasi-2D flow-cell model, was used in two different ways: in a detailed raster approach, similarly to usual 2D model uses; and in an alternative conceptual and interpretive way, using larger cells representing homogeneous portions of the territory. The modelling results showed that equivalent responses can be obtained. Although other models can be used and could offer different absolute results, the relative analysis offered sufficient support to the research hypothesis that a physical-based process conducted by a conscient modeller is crucial for model reliability and optimization.

Publisher

IWA Publishing

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering,Water Science and Technology

Reference38 articles.

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3. Abily M. 2015 High-Resolution Modelling with Bi-dimensional Shallow Water Equations-Based Codes – High-Resolution Topographic Data Use for Food Hazard Assessment Over Urban and Industrial Environments. PhD Thesis, Université Nice-Sophia Antipolis.

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5. Spatial global sensitivity analysis of high resolution classified topographic data use in 2D urban flood modelling;Abily;Environmental Modelling and Software,2016

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