Long‐term and short‐term analysis of shoreline change and cliff retreat on Brazilian equatorial coast

Author:

Leisner Melvin Moura1ORCID,de Paula Davis Pereira1,Alves Deivid Cristhian Leal2,da Guia Albuquerque Miguel3,de Holanda Bastos Frederico4,Vasconcelos Yan Gurgel1

Affiliation:

1. Programa de Pós‐Graduação em Geografia (ProPGeo), Laboratório de Geologia e Geomorfologia Costeira e Oceânica (LGCO) Universidade Estadual do Ceará, Campus Itaperi Fortaleza Brazil

2. Instituto de Geociências Universidade Estadual de Mato Grosso do Sul – (UEMS), Campus do Vale Jardim Brazil

3. Departamento de Geoprocessamento Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS), Campus Rio Grande Rio Grande Brazil

4. Programa de Pós‐Graduação em Geografia (ProPGeo), Laboratório de Estudos Morfoestruturais e Pedológicos (LEMEP) Universidade Estadual do Ceará, Campus Itaperi Fortaleza Brazil

Abstract

AbstractAssessing historical changes in the shoreline and retreat of cliffs is essential for understanding the evolution and behaviour of specific coastal systems. The present study focused on shoreline changes and cliff base retreat trends at different time scales (annual/decadal) along a 680‐m stretch of Pacheco Beach (Caucaia, Northeast Brazil), which are characterized by coastal erosion and mass movements that have posed risks to residents and visitors to this beach. Shoreline position data were obtained through images collected by satellites and field campaigns for precision mapping through unmanned aerial vehicle (UAV) photogrammetry. The spatiotemporal variations of the shoreline were acquired through an extension of the ArcGIS Digital Shoreline Analysis System (DSAS) and the linear regression rate (LRR) statistical method that reflects the variations that have occurred in the coastal segment. The long‐term results show constant erosion patterns in the study area, with a shoreline retreat of −31 m in the last 17 years at an average rate of −1.8 m/year. In the short term, the average rate of retreat between May 2021 and Jan 2022 was −2.9 m, indicating that 88.78% of the evaluated section was in a continuous process of erosion. Several factors and processes cause the short‐term rates to be more severe than historical rates, demonstrating the stochastic nature of the Pacheco Beach cliff system. This research provides essential data for understanding and predicting shoreline changes on different time scales, thereby contributing to the identification and zoning of unstable cliffs and allowing for the mapping of risk areas to direct coastal management strategies.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Earth-Surface Processes,Geography, Planning and Development

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