Published December 2018 | Version v1
Journal article

Historical shoreline trend analysis and drivers of coastal change along the Ravenna coast, NE Adriatic

  • 1. University of Bologna, Department of Biology, Geology and Environmental Science BIGeA, Integrated GeoScience Research Group (I.G.R.G.) (Italy)
  • 2. CASEM, University of Cadiz, Faculty of Earth Sciences (Spain)
  • 3. Federal University of Santa Catarina, Laboratory of Coastal Oceanography (LOC) (Brazil)

Description

One of the most important aspects of coastal zone management is the analysis of shoreline dynamics. Over the last years, beaches of the Ravenna coast (NE Italy) experienced large modifications, in some places narrowing or even being completely lost, thus threatening tourism, coastal assets and nature. Coastal erosion has direct consequences for Ravenna tourist-based economy, which largely depends on the attraction provided by sandy beaches. In this study, long-term (> 50 years) coastal analysis was used to identify the sectors along the coast where the shoreline position has changed, either advancing or retreating. Shoreline changes were measured on GIS environment by means of Digital Shoreline Analysis System (DSAS) extension. Net Shoreline Movement (NSM) and Linear Regression Rate (LRR) strategies were employed to examine shoreline variability and reveal erosional/accretional trends. The results show that significant shoreline changes affected the entire coastal region, with most of the study area under retreat, mainly in the most valuable tourist assets of the littoral. The effects were found to be worsened by impacts of land subsidence, presence of harbor infrastructure and deficit in sediment budget. A simple shoreline classification was performed over the DSAS results and cross-checked with local knowledge of the area. The measurement of erosion or accretion rates in each studied segment is found to be useful for land use planning and coastal management plans, especially regarding the prediction of future shoreline positions. Especially important is the potential of the classification to identify areas of significant position change, with current and future implications for the design of sustainable shoreline management and mitigation measures.

Additional details

Identifiers

Publishing Information

Journal Title
Environmental Earth Sciences
Journal Volume
77
Journal Issue
23
Journal Page Range
p. 1-20
ISSN
1866-6280

INIS

Country of Publication
Germany
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52025158
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
CLASSIFICATION; COMPUTERIZED SIMULATION; DESIGN; ENVIRONMENTAL PROTECTION; EROSION; GEOGRAPHIC INFORMATION SYSTEMS; ITALY; LAND USE; MITIGATION; REGRESSION ANALYSIS; SEDIMENTS; SHORES
Descriptors DEC
COASTAL REGIONS; DEVELOPED COUNTRIES; EUROPE; INFORMATION SYSTEMS; MATHEMATICS; SIMULATION; STATISTICS; WESTERN EUROPE

Optional Information

Copyright
Copyright (c) 2018 Springer-Verlag GmbH Germany, part of Springer Nature