Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Influence of Local Factors on Coastal Erosion: The Case of Vagueira Beach in Portugal

Version 1 : Received: 17 November 2022 / Approved: 21 November 2022 / Online: 21 November 2022 (01:19:51 CET)

A peer-reviewed article of this Preprint also exists.

Magalhães Filho, L.; Roebeling, P.; Coelho, C. Influence of Local Factors on Coastal Erosion: The Case of Vagueira Beach in Portugal. Environments 2023, 10, 24. Magalhães Filho, L.; Roebeling, P.; Coelho, C. Influence of Local Factors on Coastal Erosion: The Case of Vagueira Beach in Portugal. Environments 2023, 10, 24.

Abstract

Vagueira Beach on the Central Portuguese coast, is known as one of the places in Europe most affected by coastal erosion. The area has suffered more than 156 meters of coastline retreat over the period 1958 to 2001. With the aim to evaluate the influence of local factors on coastal erosion, this paper assesses the anthropogenic and natural factors that are related with the retreat of the coastline, by adopting statistical correlation and regression analyses. Through the Pearson's correlation coefficient (r) it was observed that local factors such as annual dredging at the Aveiro Port entrance (r = 0.93), the total length of groins in the Espinho-Vagueira section (r = 0.89), and storm events (r = 0.52) are directly related to coastline retreat in the area. A multiple linear regression model was developed in which coastline retreat is explained by these same factors over the period 1980 to 2006. With a coefficient of determination of R² = 0.91, it was observed that length of groins (significant at the 1% level), dredging of the port entrance (significant at the 5% level) and precipitation (as a proxy for storm events; significant at the 10% level) are significantly correlated with coastline retreat. Hence, it is shown that anthropogenic factors are the main drivers of coastline retreat in Vagueira Beach. This study provides an innovative approach for the assessment of coastal erosion, resulting in important information that can be used for decision-making related to coastal zone management as it allows to understand in greater detail the main drivers of coastal erosion.

Keywords

Groins; Dredging; Storm events; Natural factors; Anthropogenic factors; Regression model.

Subject

Environmental and Earth Sciences, Environmental Science

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