Abstract
In this work, field data and model outputs were integrated, processed and analyzed in a GIS environment in order to assess the vulnerability to erosion and to produce associated risk maps using a multi-criteria approach. Erosion risk assessment methodology was developed based on morphological, hydrodynamic, and meteorological indicators that were computed using data obtained from a short term monitoring program. It was applied to a stretch on the NW coastal zone of Portugal. Comparing this methodology to previously developed ones, there are three main distinctive aspects to be considered: (i) the coastal stretch was segmented for computation of indexes (susceptibility, exposure and risk), accordingly to specific coastal types (ii) a new set of vulnerability variables is proposed; and (iii) erosion impact indicators computed from detailed building and beaches data that was extracted from aerial photos.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bio A, Bastos L, Silva, Pinho JL, Granja H (2011) Dynamics of the Douro estuary sand spit before and after breakwater construction. Estuar Coast Shelf Sci 109:53–69
Del Rio L, Garcia F (2009) Erosion risk assessment of active coastal cliffs in temperate environments. Geomorphology 112:82–95
Ferreira JC (2006) Coastal zone vulnerability and risk evaluation: tool for decision-making (an example in the Caparica Littoral – Portugal). J Coast Res SI 39 (Proceedings of the 8th international coastal symposium), 1590–1593. Itajaí, SC, Brazil, ISSN 0749-0208
Gornitz VM, Daniels RC, White TW, Birdwell KR (1994) The development of a coastal risk assessment database: vulnerability to sea-level rise in the U.S. southeast. J Coast Res, Special Issue No. 12:327–338
Granja H, Bastos L, Pinho JLS, Gonçalves J, Henriques R, Bio A, Magalhães A (2010) Small harbours risks: lowering for fishery and increasing erosion. The case of Portinho da Aguda (NW Portugal). In: Proceedings of littoral 2010, London, September 2010
Honrado J, Vicente J, Lomba A, Alves P, Macedo JA, Henriques R, Granja H, Caldas FB (2010) Fine-scale patterns of vegetation assembly in the monitoring of changes in coastal sand-dune landscapes. Web Ecol 10:1–14
Julião R, Nery F, Ribeiro J, Castelo Branco M, Zêzere J (2009) Guiametodológico para a produção de cartografia municipal de risco e para a criação de sistemas de informaçãogeográfica (SIG) de base municipal. Ed.: AutoridadeNacional de Protecção Civil. Co-Ed.: Direcção-Geral do Ordenamento do Território e DesenvolvimentoUrbano e InstitutoGeográficoPortuguês. Lisboa., 91 p
Kumar TS, Mahendra RS, Nayak S, Radhakrishnan K, Sahu KC (2010) Coastal vulnerability assessment for Orissa State, east coast of India. J Coast Res 26(3):523–534
Nawogu G, Demirbilek Z (2001) BOUSS-2D: a Boussinesq wave model for coastal regions and harbors. Report 1. Theoretical background and user’s manual. US Army Corps of Engineers, Engineer Research and Development Center, USA
Pendleton EA, Thieler ER, Williams SJ (2005) Coastal vulnerability assessment of national park of American Samoa to sea-level rise. U.S. Geological Survey open-file report 2005-1055
Shaw J, Taylor RB, Forbes DL, Ruz M-H, Solomon S (1998) Sensitivity of the Canadian coast to sea-level rise. Geol Surv Can Bull 505:114
Thieler ER, Hammar-Klose ES (1999) National assessment of coastal vulnerability to sea-level rise, U.S. Atlantic coast. U.S. Geological Survey open-file report 99–593, 1 sheet
Thieler ER, Hammar-Klose ES (2000) National assessment of coastal vulnerability to sea-level rise, U.S. Pacific coast: U.S. Geological Survey open-file report 00-178, 1 sheet
Acknowledgments
The authors would like to thank to Biological Park of Gaia for the financial support to develop this coastal monitoring program at Vila Nova de Gaia.
This research was partially supported by the European Regional Development Fund (ERDF) through the COMPETE – Operational Competitiveness Programme and national funds through FCT – Foundation for Science and Technology, under the project “PEst-C/MAR/LA0015/2013”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Granja, H., Pinho, J., Mendes, J. (2014). A Multi-criteria Approach for Erosion Risk Assessment Using a New Concept of Spatial Unit Analysis, Wave Model and High Resolution DEMs. In: Finkl, C., Makowski, C. (eds) Remote Sensing and Modeling. Coastal Research Library, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-06326-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-06326-3_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06325-6
Online ISBN: 978-3-319-06326-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)