Developing a predictive GIS model of sea level rise for a selected coastal community

dc.contributor.author	Seeram, Amit
dc.contributor.department	Department of Geomatics Engineering and Land Management, University of the West Indies
dc.date.accessioned	2013-05-27T14:29:40Z
dc.date.available	2013-05-27T14:29:40Z
dc.date.issued	2010-04
dc.description	The table of contents for this item can be shared with the requester. The requester may then choose one chapter, up to 10% of the item, as per the Fair Dealing provision of the Canadian Copyright Act	en
dc.description.abstract	This project increases the preparedness of the community of Grande Riviere, Trinidad, by developing a Geographical Information Systems (GIS) model, to illustrate potential flooding areas associated with sea level rise. Grande Riviere is a coastal community best known for the annual nesting of the leather back turtle, which attracts tourists from all over the world. Various predictions of sea level rise were applied to the model; the results are a series of maps demonstrating areas associated with predictions within the Grande Riviere community, including the potential area of land intruded, number of buildings, and length of roads affected.	en
dc.identifier.uri	http://hdl.handle.net/10625/51201
dc.title	Developing a predictive GIS model of sea level rise for a selected coastal community	en
idrc.docdeliv	Link sent to requester : https://www.academia.edu/64910682/Developing_a_predictive_GIS_model_of_sea_level_rise_for_a_selected_coastal_community?from_sitemaps=true&version=2	en
idrc.dspace.access	Limited Access	en

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