CONTEMPORARY MULTIDISCIPLINARY APPROACHES TO COASTAL CLASSIFICATION AND ENVIRONMENTAL RISK ANALYSIS

Citation
Jag. Cooper et S. Mclaughlin, CONTEMPORARY MULTIDISCIPLINARY APPROACHES TO COASTAL CLASSIFICATION AND ENVIRONMENTAL RISK ANALYSIS, Journal of coastal research, 14(2), 1998, pp. 512-524
Citations number
36
Categorie Soggetti
Environmental Sciences","Geosciences, Interdisciplinary
Journal title
ISSN journal
07490208
Volume
14
Issue
2
Year of publication
1998
Pages
512 - 524
Database
ISI
SICI code
0749-0208(1998)14:2<512:CMATCC>2.0.ZU;2-X
Abstract
Coastal classification or typology based on multidisciplinary data and multivariate analysis has recently emerged as a tool in coastal manag ement. In this paper, eighteen published accounts of coastal classific ation procedures are reviewed in order to determine the reasons for su ch an increase, the variability between different approaches and the u tility of each approach. The increase in use of such approaches to coa stal classification may be linked to technological advances and widesp read use of Geographic Information Systems (GIS). The main differences identified between the indices are in terms of scale of application, variables included, mode of analysis, mode of presentation and the nat ure of the risks being assessed. While many authors drew attention to limitations imposed by lack of availability of data, in general it was concluded that few indices adequately considered the physical basis f or interaction between variables used in the classification procedure. In particular, while most indices recognise the need for socio-econom ic data, few were able to adequately incorporate such information. Tho se indices with the highest utility in risk assessment are considered to be those in which (a) the nature of potential perturbation and (b) the issues of management concern were clearly defined. Those in which neither is adequately defined are likely to be of use mainly as databa ses. A potential stepwise approach to development of specific coastal classification indices is outlined in which user needs and interrelati onships between variables are examined in the planning stage. We recom mend development of a GIS-based hierarchy of coastal classifications o n varying spatial scales in which resolution may be adapted and variab les combined differently according to specific aspects of management c oncern at different spatial management levels.