Quantification of shoreline change in Salaverry, Peru

Leon, J. and Tavares Correa, C. (2006). Quantification of shoreline change in Salaverry, Peru. In: A. H. Klein, Proceedings of the 8th International Coastal Symposium. 8th International Coastal Symposium (ICS 2004), Santa Catarina, Brazil, (1013-1016). 14 - 19 March 2004.

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Author Leon, J.
Tavares Correa, C.
Title of paper Quantification of shoreline change in Salaverry, Peru
Conference name 8th International Coastal Symposium (ICS 2004)
Conference location Santa Catarina, Brazil
Conference dates 14 - 19 March 2004
Proceedings title Proceedings of the 8th International Coastal Symposium   Check publisher's open access policy
Journal name Journal of Coastal Research   Check publisher's open access policy
Place of Publication West Palm Beach, FL, United States
Publisher Coastal Education & Research Foundation
Publication Year 2006
Sub-type Fully published paper
ISSN 0749-0208
1551-5036
Editor A. H. Klein
Volume Special Issue 39
Start page 1013
End page 1016
Total pages 4
Language eng
Abstract/Summary Aset of groynes and breakwaters were constructed in 1956 around the Salaverry Maritime Terminal in the northern coast of Peru to facilitate port operations. As a result, part of the longshore transport was blocked, producing undesirable impacts along the coastline. Apart from local bathymetric monitoring, a thorough shoreline change assessment has not been carried out. The aim of this study is to quantify shoreline change donwdrift of the Terminal using a combination of mapping techniques. Erosion/accretion rates were estimated using GIS, yielding an average erosion rate of 3.2m/year between 1976 and 1997, with a maximum of 7.6m/year. Despite limitations on data availability and quality, results were consistent with field observations and point measurements from aerial photographs. The potential mapping error to actual shoreline variation ratio is small and outcomes of this study can be considered statistically reliable. The integration of qualitative and quantitative data into a GIS framework is the most effective method to model erosion hazards.
Keyword Shoreline variation
Erosion
GIS
Peruvian coast
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Collections: Global Change Institute Publications
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