Coastal vulnerability to sea-level rise: a spatial–temporal assessment framework

Article


Sahin, Oz and Mohamed, Sherif. 2014. "Coastal vulnerability to sea-level rise: a spatial–temporal assessment framework ." Natural Hazards. 70 (1), pp. 395-414. https://doi.org/10.1007/s11069-013-0818-4
Article Title

Coastal vulnerability to sea-level rise: a spatial–temporal assessment framework

ERA Journal ID1986
Article CategoryArticle
AuthorsSahin, Oz and Mohamed, Sherif
Journal TitleNatural Hazards
Journal Citation70 (1), pp. 395-414
Number of Pages20
YearJan 2014
PublisherSpringer
Place of PublicationSwitzerland
ISSN0921-030X
1573-0840
Digital Object Identifier (DOI)https://doi.org/10.1007/s11069-013-0818-4
Web Address (URL)https://link.springer.com/article/10.1007/s11069-013-0818-4
Abstract

The scientific community is confident that warming of the Earth’s climate is unequivocal. Sea-level rise, which poses potential threats to coastal areas, is one of the most recognised possible impacts of this climate change. The nonlinearities, complexities, and spatial and temporal lags are common characteristics of coastal processes driven by human and natural interaction. With the acknowledgement of the complexity and dynamic nature of coastal systems, this paper introduces a spatial–temporal assessment framework, for addressing both the temporal and spatial variations, when assessing the vulnerability of natural and human systems in coastal areas. The framework is based upon a combination of system dynamics (SD) modelling and geographical information systems by taking into account spatial (x, y, z) and temporal (t) dimensions. The strategy of the adopted approach is to use the loose coupling approach by which a spatial model component is incorporated into a SD model component through a data converter.

KeywordsDynamic spatial modelling; GIS; Inundation; Sea-level rise; Storm surge; Vulnerability assessment
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400508. Infrastructure engineering and asset management
Public Notes

The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

Byline AffiliationsGriffith University
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