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| Titel |
A holistic model for coastal flooding using system diagrams and the Source-Pathway-Receptor (SPR) concept |
| VerfasserIn |
S. Narayan, S. Hanson, R. J. Nicholls, D. Clarke, P. Willems, V. Ntegeka, J. Monbaliu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 5 ; Nr. 12, no. 5 (2012-05-14), S.1431-1439 |
| Datensatznummer |
250010810
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| Publikation (Nr.) |
 copernicus.org/nhess-12-1431-2012.pdf |
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| Zusammenfassung |
| Coastal flooding is a problem of increasing relevance in low-lying coastal
regions worldwide. In addition to the anticipated increase in likelihood and
magnitude of coastal floods due to climate change, there is rapid growth in
coastal assets and infrastructure. Sustainable and integrated coastal flood
management over large areas and varying coastline types cannot be simply
treated as local combinations of flood defences and floodplains. Rather, a
system level analysis of floodplains is required to structure the problem as
a first step before applying quantitative models. In this paper such a model
is developed using system diagrams and the Source-Pathway-Receptor (SPR)
concept, to structure our understanding of large and complex coastal
flood systems. A graphical systems model is proposed for the assessment of
coastal flood systems with regard to individual elements and their
topological relationships. Two examples are discussed – a unidirectional
model for a large-scale flood system, and a multi-directional model for a
smaller-scale system, both based on the Western Scheldt estuary. The models
help to develop a comprehensive understanding of system elements and their
relationships and provide a holistic overview of the coastal flood system.
The approach shows that a system level analysis of floodplains is more
effective than simple topographic maps when conveying complex information.
The models are shown to be useful as an apriori approach for making the assumptions
about flood mechanisms explicit and for informing inputs to numerical models. |
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