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Keywords = shoreline change envelope (SCE)

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20 pages, 18038 KiB  
Article
Decoding Chambal River Shoreline Transformations: A Comprehensive Analysis Using Remote Sensing, GIS, and DSAS
by Saurabh Singh, Gowhar Meraj, Pankaj Kumar, Suraj Kumar Singh, Shruti Kanga, Brian Alan Johnson, Deepak Kumar Prajapat, Jatan Debnath and Dhrubajyoti Sahariah
Water 2023, 15(9), 1793; https://doi.org/10.3390/w15091793 - 7 May 2023
Cited by 20 | Viewed by 5302
Abstract
Illegal sand mining has been identified as a significant cause of harm to riverbanks, as it leads to excessive removal of sand from rivers and negatively impacts river shorelines. This investigation aimed to identify instances of shoreline erosion and accretion at illegal sand [...] Read more.
Illegal sand mining has been identified as a significant cause of harm to riverbanks, as it leads to excessive removal of sand from rivers and negatively impacts river shorelines. This investigation aimed to identify instances of shoreline erosion and accretion at illegal sand mining sites along the Chambal River. These sites were selected based on a report submitted by the Director of the National Chambal Sanctuary (NCS) to the National Green Tribunal (NGT) of India. The digital shoreline analysis system (DSAS v5.1) was used during the elapsed period from 1990 to 2020. Three statistical parameters used in DSAS—the shoreline change envelope (SCE), endpoint rate (EPR), and net shoreline movement (NSM)—quantify the rates of shoreline changes in the form of erosion and accretion patterns. To carry out this study, Landsat imagery data (T.M., ETM+, and OLI) and Sentinel-2A/MSI from 1990 to 2020 were used to analyze river shoreline erosion and accretion. The normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) were used to detect riverbanks in satellite images. The investigation results indicated that erosion was observed at all illegal mining sites, with the highest erosion rate of 1.26 m/year at the Sewarpali site. On the other hand, the highest accretion was identified at the Chandilpura site, with a rate of 0.63 m/year. We observed significant changes in river shorelines at illegal mining and unmined sites. Erosion and accretion at unmined sites are recorded at −0.18 m/year and 0.19 m/year, respectively, which are minor compared to mining sites. This study’s findings on the effects of illegal sand mining on river shorelines will be helpful in the sustainable management and conservation of river ecosystems. These results can also help to develop and implement river sand mining policies that protect river ecosystems from the long-term effects of illegal sand mining. Full article
(This article belongs to the Special Issue Advances in Hydrology: Flow and Velocity Analysis in Rivers)
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Figure 1
<p>Illustration of a sand and gravel streambed and the impact of illegal sand mining. (<b>a</b>) Nick points, where the streambed is abruptly lowered due to pit excavation, can be seen. (<b>b</b>) Downstream from the nick point, the streambed deteriorates when flow rates are high due to the lack of sediment replenishment caused by the mining.</p>
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<p>Comparison of channel cross-sections. (<b>a</b>) shows a typical sand–gravel bar inside the low-flow channel, while (<b>b</b>) depicts the impact of uncontrolled mining resulting in a large shallow channel with severe bank erosion.</p>
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<p>Illegal sand mining sites along the Chambal River. (<b>a</b>) Map of India ap providing regional context, (<b>b</b>) illegal sand mining site in Dholpur and Morena regions within the Chambal River, and (<b>c</b>) inset showing stretch of illegal mining sites and unmined site. Map coordinates are UTM WGS 84.</p>
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<p>Flowchart diagram illustrating the methodology for evaluating erosion and accretion at mining sites. The diagram outlines the steps to analyze the satellite images and geospatial data, including spectral indices and a digital shoreline analysis system (DSAS) to calculate shoreline erosion and accretion rates.</p>
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<p>NDWI and MNDWI cover a 10 km riverbank buffer for 20 years. Remote sensing indices including the NDWI and MNDWI identify and map open water bodies such as rivers and wetlands and estimate water extent changes over time. (<b>a</b>) NDWI 2000, (<b>b</b>) MNDWI 2000, (<b>c</b>) NDWI 2010, (<b>d</b>) MNDWI 2010, (<b>e</b>) NDWI 2020, and (<b>f</b>) MNDWI 2020.</p>
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<p>Net shoreline movement profiles of Chambal River showing the changes in shoreline position over time, as calculated by the digital shoreline analysis system (DSAS) model. Panel (<b>a</b>) presents the profiles for Jhiri sand mining zones, panel (<b>b</b>) presents the profiles for Sewarpali sand mining zones, and panel (<b>c</b>) presents the profiles for Chandilpura sand mining zones.</p>
Full article ">Figure 6 Cont.
<p>Net shoreline movement profiles of Chambal River showing the changes in shoreline position over time, as calculated by the digital shoreline analysis system (DSAS) model. Panel (<b>a</b>) presents the profiles for Jhiri sand mining zones, panel (<b>b</b>) presents the profiles for Sewarpali sand mining zones, and panel (<b>c</b>) presents the profiles for Chandilpura sand mining zones.</p>
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<p>Endpoint Rate Profiles of Sand Mining Zones of the Chambal River. This figure presents the endpoint rate profiles of the three sand mining zones, namely (<b>a</b>) Jhiri (<b>b</b>) Sewarpali (<b>c</b>) Chandilpura.</p>
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<p>Endpoint Rate Profiles of Sand Mining Zones of the Chambal River. This figure presents the endpoint rate profiles of the three sand mining zones, namely (<b>a</b>) Jhiri (<b>b</b>) Sewarpali (<b>c</b>) Chandilpura.</p>
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<p>Comparative endpoint Rate of all transects of Sand Mining Zones.</p>
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<p>Comparative erosion and accretion rates at three study sites. This figure presents the estimated erosion and accretion rates for the three study sites as determined by the DSAS model. These estimates suggest notable variations in the study area’s geomorphic processes and sediment dynamics.</p>
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<p>Endpoint Rate Profile of Unmined Site (Basai Neem).</p>
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<p>Comparative Erosion and Accretion Rates at Four Study Sites, including Basai Neem (Unmined Site).</p>
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21 pages, 15896 KiB  
Article
Analysis of Multi-Temporal Shoreline Changes Due to a Harbor Using Remote Sensing Data and GIS Techniques
by Sanjana Zoysa, Vindhya Basnayake, Jayanga T. Samarasinghe, Miyuru B. Gunathilake, Komali Kantamaneni, Nitin Muttil, Uttam Pawar and Upaka Rathnayake
Sustainability 2023, 15(9), 7651; https://doi.org/10.3390/su15097651 - 6 May 2023
Cited by 11 | Viewed by 4468
Abstract
Coastal landforms are continuously shaped by natural and human-induced forces, exacerbating the associated coastal hazards and risks. Changes in the shoreline are a critical concern for sustainable coastal zone management. However, a limited amount of research has been carried out on the coastal [...] Read more.
Coastal landforms are continuously shaped by natural and human-induced forces, exacerbating the associated coastal hazards and risks. Changes in the shoreline are a critical concern for sustainable coastal zone management. However, a limited amount of research has been carried out on the coastal belt of Sri Lanka. Thus, this study investigates the spatiotemporal evolution of the shoreline dynamics on the Oluvil coastline in the Ampara district in Sri Lanka for a two-decade period from 1991 to 2021, where the economically significant Oluvil Harbor exists by utilizing remote sensing and geographic information system (GIS) techniques. Shorelines for each year were delineated using Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager images. The Normalized Difference Water Index (NDWI) was applied as a spectral value index approach to differentiate land masses from water bodies. Subsequently, the Digital Shoreline Analysis System (DSAS) tool was used to assess shoreline changes, including Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR). The results reveal that the Oluvil coast has undergone both accretion and erosion over the years, primarily due to harbor construction. The highest SCE values were calculated within the Oluvil harbor region, reaching 523.8 m. The highest NSM ranges were recorded as −317.1 to −81.3 m in the Oluvil area and 156.3–317.5 m in the harbor and its closest point in the southern direction. The maximum rate of EPR was observed to range from 3 m/year to 10.7 m/year towards the south of the harbor, and from −10.7 m/year to −3.0 m/year towards the north of the harbor. The results of the LRR analysis revealed that the rates of erosion anomaly range from −3 m/year to −10 m/year towards the north of the harbor, while the beach advances at a rate of 3 m/year to 14.3 m/year towards the south of the harbor. The study area has undergone erosion of 40 ha and accretion of 84.44 ha. These findings can serve as valuable input data for sustainable coastal zone management along the Oluvil coast in Sri Lanka, safeguarding the coastal habitats by mitigating further anthropogenic vulnerabilities. Full article
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<p>Location map of the study area—Oluvil Harbor, Sri Lanka.</p>
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<p>Schematic diagram of methodological procedures.</p>
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<p>Extracted shorelines from Landsat satellite imageries (1991–2021).</p>
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<p>Spatial variation of Oluvil coastline trends: (<b>a</b>) For 1991–2000; (<b>b</b>) For 2000–2008; (<b>c</b>) For 2008–2021.</p>
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<p>Google Earth Pro Images used to study the periodic change of Oluvil Coastline from 2000–2021 (accessed on 30 December 2022).</p>
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<p>DSAS Statics of the Oluvil coast area: (<b>a</b>) For SCE; (<b>b</b>) For NSM; (<b>c</b>) For EPR; (<b>d</b>) For LRR.</p>
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<p>DSAS Statics of the Oluvil coast area: (<b>a</b>) For SCE; (<b>b</b>) For NSM; (<b>c</b>) For EPR; (<b>d</b>) For LRR.</p>
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<p>Eroded and accreted areas in the Oluvil coast during 2008–2021 (accessed on 30 December 2022).</p>
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<p>Eroded and accreted areas in the Oluvil coastline (accessed on 7 January 2023).</p>
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14 pages, 5197 KiB  
Article
Assessment of Shoreline Changes for the Selangor Coast, Malaysia, Using the Digital Shoreline Analysis System Technique
by Khairul Nizam Abdul Maulud, Siti Norsakinah Selamat, Fazly Amri Mohd, Noorashikin Md Noor, Wan Shafrina Wan Mohd Jaafar, Mohd Khairul Amri Kamarudin, Effi Helmy Ariffin, Nor Aizam Adnan and Anizawati Ahmad
Urban Sci. 2022, 6(4), 71; https://doi.org/10.3390/urbansci6040071 - 12 Oct 2022
Cited by 16 | Viewed by 3927
Abstract
Coastal areas are fragile and changeable due to natural and anthropogenic factors. The resulting changes could have a significant impact on the coastal community. Thus, monitoring shoreline changes for environmental protection in the Selangor coastal area is an important task to address these [...] Read more.
Coastal areas are fragile and changeable due to natural and anthropogenic factors. The resulting changes could have a significant impact on the coastal community. Thus, monitoring shoreline changes for environmental protection in the Selangor coastal area is an important task to address these issues. The main objective of this study is to analyse the pattern of shoreline changes and predict the shoreline position along the Selangor coast. The geospatial approach can provide information on the history and pattern of shoreline changes. This study used temporal datasets and satellite imagery (SPOT 5) to monitor the shoreline changes throughout the 11 identified study areas. It comprises three methods: shoreline change envelope (SCE), net shoreline movement (NSM), and end-point rate (EPR). The findings indicated that the Selangor coast was more exposed to the erosion phenomenon than to the accretion phenomenon, with 77.3% and 22.7%, respectively. This study reveals significant erosion phenomena in 2 out of 11 areas: Bagan Pasir and Pantai Kelanang. Meanwhile, significant accretion occurred at Bagan Sungai Burong and Sungai Nibong. Consequently, providing complete information would be helpful for researchers, decision-makers, and those in charge of planning and managing the coastal zone. Full article
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<p>Photo showing SAUH installed at Sungai Tegar.</p>
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<p>Photo showing geotube installed at Pantai Kelanang in 2019.</p>
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<p>Study areas along coast of Selangor represented by the red line.</p>
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<p>The variation of the erosion and accretion phenomena along the study area.</p>
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<p>Photo showing the accumulation of garbage as the high tide occurred at Sungai Pulai (2017). Red line indicating erosion along the shoreline.</p>
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<p>Shoreline change along the study area from (<b>a</b>) 1993–2004 and (<b>b</b>) 2004–2014.</p>
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<p>Prediction of shoreline changes for the years 2030 and 2040.</p>
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<p>Predicted shoreline changes in 2030 (orange line) and 2040 (red line) based on 2014 shoreline (green line).</p>
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<p>Land loss impacts on erosion phenomena in Bagan Pasir.</p>
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<p>Facilities damage impacts on shoreline changes in Pantai Kelanang.</p>
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22 pages, 6995 KiB  
Article
Estimating Quantitative Morphometric Parameters and Spatiotemporal Evolution of the Prokopos Lagoon Using Remote Sensing Techniques
by Dionysios N. Apostolopoulos, Pavlos Avramidis and Konstantinos G. Nikolakopoulos
J. Mar. Sci. Eng. 2022, 10(7), 931; https://doi.org/10.3390/jmse10070931 - 6 Jul 2022
Cited by 18 | Viewed by 2626
Abstract
The Prokopos Lagoon is part of the Kotychi Strofilias National Wetlands Park, which is supervised by the Ministry of Environment, Energy and Climate Change of Greece. The lagoon is situated at the northwestern coast of the Peloponnese and is protected by the Ramsar [...] Read more.
The Prokopos Lagoon is part of the Kotychi Strofilias National Wetlands Park, which is supervised by the Ministry of Environment, Energy and Climate Change of Greece. The lagoon is situated at the northwestern coast of the Peloponnese and is protected by the Ramsar Convention. It is an important ecosystem with ecological services providing habitats for many plants and animals and essential goods and services for humans as well. No previous relevant studies for the wider wetland area are available, and given that lagoons are important ecosystems, their diachronic evolution should be under constant monitoring. Using remote sensing techniques in Geographic Information System (GIS) environment, alterations in critical parameters could be measured and applied for the protection of the area. The present study examines the spatiotemporal changes of the water extent of the Prokopos Lagoon, estimating landscape metrics and several morphometric parameters and indices related to the geomorphological features of the lagoon for the 1945–2021 period. Moreover, the adjacent shoreline was studied for each past decade evolution from 1945 to present, and it is discussed to whether there is a relationship between shoreline changes and the lagoon. High resolution satellite images and air photos at scale 1:30,000 were used to digitize the shorelines and the polygons of the lagoon’s surface. Linear Regression Rates (LRR), Net Shoreline Movement (NSM), End Point Rate (EPR) and Shoreline Change Envelope (SCE) provided by the Digital Shoreline Analysis System (DSAS) were used to determine the changes. Finally, future shoreline positions for 2021 and 2031 are estimated, while based on statistic models, we found that in the coastal area, the erosion–accretion cycle is predicted to be completed in 2031, after almost 86 years since 1945. Full article
(This article belongs to the Special Issue Changes of the Coastal Zones Due to Climate Change)
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<p>Coastal lagoons sub-divided into (<b>a</b>) choked, (<b>b</b>) restricted and (<b>c</b>) leaky (remodified after [<a href="#B3-jmse-10-00931" class="html-bibr">3</a>]).</p>
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<p>The major coastal lagoonal ecosystems of western Peloponnese and the location of the study area (Prokopos Lagoon).</p>
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<p>Prokopos Lagoon morphometric parameters interpretation.</p>
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<p>Diachronic shoreline evolution of the Prokopos Lagoon. Basemap of 2021.</p>
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<p>Lagoon restriction ratio index fluctuations during the study period.</p>
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<p>Lagoon’s orientation parameter fluctuations during the study period.</p>
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<p>Lagoon’s shoreline development index fluctuations during the study period.</p>
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<p>Water surface area fluctuations during the study period.</p>
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<p>Lagoon’s perimeter fluctuations during the study period.</p>
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<p>Ratio of change in lagoon area and perimeter during the study period.</p>
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<p>Multitemporal fluctuations in the Prokopos Lagoon. The gridded polygon represents the oldest surface, which is compared to the newer shoreline (blue line) at each time interval. Basemap of 2021.</p>
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<p>Diachronic shoreline changes using the EPR (m/yr) rates. Basemap of 2021.</p>
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<p>Erosion and accretion rates along the Prokopos Lagoon sea zone.</p>
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<p>Correlation of EPR and LRR change rates for all transects.</p>
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<p>NSM rates showing erosion (red color) and accretion (green color) in conjunction with the SCE rates (black line) for the 1945–2021 period.</p>
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<p>Forecasted EPR for the periods 2021–2031 and 2021–2041 vs. LRR (1945–2021). The prediction interval has been calculated at ±0.26 m/yr.</p>
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21 pages, 6354 KiB  
Article
Shoreline Evolution and Environmental Changes at the NW Area of the Gulf of Gela (Sicily, Italy)
by Laura Borzì, Giorgio Anfuso, Giorgio Manno, Salvatore Distefano, Salvatore Urso, Domenico Chiarella and Agata Di Stefano
Land 2021, 10(10), 1034; https://doi.org/10.3390/land10101034 - 2 Oct 2021
Cited by 19 | Viewed by 3342
Abstract
Coastal areas are among the most biologically productive, dynamic and valued ecosystems on Earth. They are subject to changes that greatly vary in scale, time and duration and to additional pressures resulting from anthropogenic activities. The aim of this work was to investigate [...] Read more.
Coastal areas are among the most biologically productive, dynamic and valued ecosystems on Earth. They are subject to changes that greatly vary in scale, time and duration and to additional pressures resulting from anthropogenic activities. The aim of this work was to investigate the shoreline evolution and the main environmental changes of the coastal stretch between the towns of Licata and Gela (in the Gulf of Gela, Sicily, Italy). The methodology used in this work included the analysis of: (i) shoreline changes over the long- and medium-term periods (1955–2019 and 1989–2019, respectively), (ii) dune system fragmentation and (iii) the impact of coastal structures (harbours and breakwaters) on coastal evolution. The shoreline change analysis mainly showed a negative trend both over the long- and medium-term periods, with a maximum retreat of 3.87 m/year detected over the medium-term period down-drift of the Licata harbour. However, a few kilometres eastward from the harbour, significant accretion was registered where a set of breakwaters was emplaced. The Shoreline Change Envelope (SCE) showed that the main depositional phenomena occurred during the decade between 1955 and 1966, whereas progressive and constant erosion was observed between 1966 and 1989 in response to the increasing coastal armouring. Full article
(This article belongs to the Special Issue Land Modifications and Impacts on Coastal Areas)
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<p>(<b>A</b>) The coastal sub-cell subdivision of Sicily in I- and II-order cells [<a href="#B20-land-10-01034" class="html-bibr">20</a>]; (<b>B</b>) The study area and its subdivision into two sectors: sector no. 1, from the Licata harbour to the Falconara Castle, and sector no. 2, from the Falconara Castle to the Gela harbour.</p>
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<p>Southern Imera drainage basin, with tributaries and artificial reservoirs, location of the tide gauge station at Porto Empedocle (yellow dot) and the Site of Community Importance (SCI) ITA 050011 “Manfria Tower” (green polygon). (<b>A</b>) Location of the present-day Southern Imera River mouth and the disused second river mouth, in correspondence of Mollarella Bay, ca. 6 km from the Licata harbour. (<b>B</b>) Details of the Site of Community Importance (SCI) ITA 050011 “Manfria Tower”.</p>
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<p>Rates of change within sector no. 1 over the long-term period (1955–2019). In total, 58% of the data falls within the stability state range, especially observed in the coastal area at a distance between 3 and 10 km from the harbour (highest negative WLR = −6.25 m/year), but significant sediment deposition was recorded between 1955 and 1989 where a set of breakwaters have been emplaced.</p>
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<p>The area east of the Southern Imera River mouth faced severe coastal erosion. In 1955, the coastal area was undisturbed, but over the following decades, urbanization and anthropogenic disturbance have significantly increased, despite the severe erosion observed within this area, and (<b>a</b>–<b>f</b>) holidays houses have been seriously damaged and partly submerged, as shown by the white square that frames a house partly swallowed up by the sea.</p>
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<p>Shoreline evolution expressed as weighted linear regression rate within sector no. 2 over the long-term period (1955–2019). Stable trend (32%, 181 transects) was mainly recorded within sector no. 2, followed by moderate accretion (31%, 174 transects). Significant retreat occurred along 31% (172 transects) of the sector.</p>
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<p>Shoreline changes over the mid-term period (1989–2019) within sector no. 1. Sector no. 1 is about 10 km long, from the Licata harbour to the Falconara Castle, but the rate-of-change plot indicated that the highest variability was detected within 4 km eastward of the Licata harbour. (<b>A</b>) The most severe erosion phenomena occurred right next to the Southern Imera River mouth; (<b>B</b>) accretional classes have been recorded about 1.2 km eastward the Licata harbour where 11 breakwaters have been emplaced to block the intense sediment loss. Grey dashed lines are those transects cast by the DSAS and delimit coastal areas that have recorded main changes.</p>
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<p>Shoreline evolution over the mid-term period (1989–2019) within sector no. 2. This sector mostly showed a stable trend (38%, 210 transects). In total, 39% of the coast faced moderate to very high erosion (214 transects), and 24% ranged between moderate and high accretion (133 transects). (A) Higher sediment deposition processes have been recorded in correspondence of the Site of Community Importance ITA 050011 – Manfria Tower. Grey dashed lines are the transects at 6350 m and at 10,125 m from the westernmost edge of the sector.</p>
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<p>Dune toe detected nearby the Licata port on the 1966 aerial photo and on the 1989 orthophoto. (<b>a</b>) The dune system in 1966 is several kilometres long and only interrupted by physiographic or natural elements. (<b>b</b>) In 1989, the dune ridge significantly retreated (white square) and was partly interrupted by manmade works. Green line is the dune toe proxy.</p>
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<p>Percentage of F index classes per year. In 1989, the most frequent classes are the “Null” and the “Low” fragmentation ones, “Medium” fragmentation class is not represented at all, the “High” one is 21%, and the “Very High/Maximum” fragmentation class has not been found.</p>
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<p>The shoreline evolution of the Southern Imera River mouth and the area east of the mouth. The trend seemed to be negative between 1955 and 2016, but the Shoreline Change Envelope revealed that (<b>A</b>) significant accretion has been recorded between 1955 and 1966, and very high erosion has been registered between 1966 and 1989, as shown by the interpolated plot of the shoreline changes (1 transect group = 100 m), but (<b>B</b>) shoreline moved seaward between 1989 and 2016 where a set of eleven breakwaters was emplaced.</p>
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<p>Shoreline evolution plot of the average WLR values found in correspondence of transects placed at (<b>a</b>) natural areas, subdivided into areas backed by dunes (93 transects) and areas without dunes (762 transects), and at (<b>b</b>) armoured areas, considering the up-drift and down-drift zones and in correspondence of structures (48 transects).</p>
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