4.7 Article

A step towards considering the spatial heterogeneity of urban key features in urban hydrology flood modelling

期刊

JOURNAL OF HYDROLOGY
卷 535, 期 -, 页码 356-365

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2016.01.060

关键词

Urban hydrology; Urban flood modelling; OpenStreetMap

资金

  1. Fundacao para a Ciencia e a Tecnologia (FCT) [UID/MAR/04292/2013]

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Some of the major challenges in modelling rainfall-runoff in urbanised areas are the complex interaction between the sewer system and the overland surface, and the spatial heterogeneity of the urban key features. The former requires the sewer network and the system of surface flow paths to be solved simultaneously. The latter is still an unresolved issue because the heterogeneity of runoff formation requires high detailed information and includes a large variety of feature specific rainfall-runoff dynamics. This paper discloses a methodology for considering the variability of building types and the spatial heterogeneity of land surfaces. The former is achieved by developing a specific conceptual rainfall-runoff model and the latter by defining a fully distributed approach for infiltration processes in urban areas with limited storage capacity dependent on OpenStreetMaps (OSM). The model complexity is increased stepwise by adding components to an existing 2D overland flow model. The different steps are defined as modelling levels. The methodology is applied in a German case study. Results highlight that: (a) spatial heterogeneity of urban features has a medium to high impact on the estimated overland flood-depths, (b) the addition of multiple urban features have a higher cumulative effect due to the dynamic effects simulated by the model, (c) connecting the runoff from buildings to the sewer contributes to the non-linear effects observed on the overland flood-depths, and (d) OSM data is useful in identifying pounding areas (for which infiltration plays a decisive role) and permeable natural surface flow paths (which delay the flood propagation). (C) 2016 Elsevier B.V. All rights reserved.

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