Shoreline change and impacts of coastal protection structures on Puducherry, SE coast of India

Selvan, S. Chenthamil; Kankara, R. S.; Markose, Vipin Joseph; Rajan, B.; Prabhu, K.

doi:10.1007/s11069-016-2332-y

Cited by 29 publications

(6 citation statements)

References 26 publications

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“…As the total distance between two shorelines has no sign, the value for SCE is always positive (Himmelstoss et al, 2018). These statistical parameters provide a robust framework for analyzing shoreline dynamics on various temporal scales, ranging from monthly to long-term trends (Shanmugam et al, 2014;Chenthamil Selvan et al, 2016;Misra and Ramakrishnan, 2020). have utilized DSAS to identify both developed and vulnerable beach areas along the Puducherry coast.…”

Section: Dsas-based Analysismentioning

confidence: 99%

“…Shoreline is the dynamic line of interface that distinguishes land and water, which has been recognized as a significant instrument for determining the spatial and temporal fluctuation of the coastline (Hayden et al, 1978;Pajak and Leatherman, 2002;Boak and Turner, 2005;Maiti and Bhattacharya, 2009;Cui and Li, 2011). Both natural (e.g., tides, waves, rivers, storms, geology, geomorphology, sea level rise) and anthropogenic activity interfering with natural coastal processes are accountable for the dynamic shoreline migration pattern (Palanques and Guilleń, 1998;Morton et al, 2005;Aedla et al, 2015;Chenthamil Selvan et al, 2016;Zambrano-Medina et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…Due to the construction of the breakwaters for the Port in 1989 in the Southern part of Puducherry City, severe beach erosion was induced on its Northern side, losing the majority of the sandy beach area (Chenthamil Selvan et al, 2016;Misra and Ramakrishnan, 2020). The Puducherry government constructed seawalls to protect the coastal area and mitigate erosional activity, but the erosion has intensified lately.…”

Section: Introductionmentioning

confidence: 99%

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Coastal resilience and shoreline dynamics: assessing the impact of a hybrid beach restoration strategy in Puducherry, India

Benhur,

Vendhan,

Kumar

et al. 2024

Front. Mar. Sci.

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Puducherry, a Union Territory of India, has been strongly affected by severe erosion after the construction of the Puducherry port in 1989. To mitigate this cause, the National Institute of Ocean Technology, Chennai, and the Puducherry government implemented a beach restoration strategy involving a hybrid solution in 2017 for coastal protection/stabilization and the restoration of the lost beach. The strategy involved deploying a steel reef into the nearshore sea and implementing beach nourishment processes. To monitor the coastal morphological changes after implementing the coastal protection strategy, the Digital Shoreline Analysis System, was adopted to calculate the rate of shoreline change statistics for the years 2016 to 2022. It uses spatio-temporal shoreline positions from multi-temporal satellite imagery. The shorelines are extracted from the Sentinel-2A satellite images by a Normalized Differential Water Index based semi-automated model. Statistical parameters in DSAS analyze the shorelines to determine the shoreline changes in this area. The results reveal the remarkable resilience of a newly restored beach, where the linear regression rate statistics in Zone A show an average accretional rate of 2.92m/yr. Alternatively, Zone B exhibits an average erosion rate of -0.23m/yr, with intermittent sandy beaches experiencing maximum erosion rates of -1.63m/yr. The influence of longshore current direction and sediment transport on shoreline movement is evident in seasonal analysis, with shoreline development and recession primarily observed near shore protection structures. The study’s outcome provides valuable insights for coastal management, offering a reliable approach for shoreline monitoring post-implementation of mitigation projects.

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Section: Dsas-based Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Coastal resilience and shoreline dynamics: assessing the impact of a hybrid beach restoration strategy in Puducherry, India

Benhur,

Vendhan,

Kumar

et al. 2024

Front. Mar. Sci.

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“…Zona pesisir adalah salah satu ekosistem sumber daya tak hidup dan hayati yang paling kompleks; oleh karena itu, wilayah pesisir memiliki kepentingan sosial ekonomi yang besar di seluruh dunia (Kuleli, 2010). Perubahan garis pantai dianggap sebagai hal krusial yang penting di wilayah pesisir (Chenthamil Selvan, Kankara, Markose, Rajan, & Prabhu, 2016). Perubahan ini didominasi oleh interaksi kompleks proses alam dan antropogenik.…”

Section: Pendahuluanunclassified

Kajian Dinamika Pantai pada Metode Pengelolaan Vegetatif dalam Upaya Pengurangan Bahaya Abrasi di Sebagian Sempadan Pantai Sumatera Barat

Arif

Putri²,

Fultriasantri³

2022

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Perubahan iklim meningkatkan frekuensi kejadian fenomena alam ekstrim yang berujung pada meningkatnya risiko masyarakat dan ekosistem pesisir. Perubahan garis pantai dianggap sebagai hal krusial yang penting di wilayah pesisir. Masyarakat pesisir perlu mengetahui mengenai perubahan dinamika pantai untuk persiapan untuk dampak di masa depan. Metode-metode perlindungan pantai sebagai upaya pengurangan risiko bencana pesisir diterapkan untuk melindungi sumberdaya infrastruktur kota pesisir. Tujuan dari penelitian ini adalah untuk mengetahui dinamika garis pantai dengan pelindung vegetasi. Penelitian dilaksanakan berbasis Remote Sensing dan GIS. Data utama adalah citra Landsat dengan resolusi temporal 20 tahun. Data diolah dengan memanfaatkan ArcGIS menggunakan tools Digital Shoreline Analysis System. Perubahan garis pantai pada tahun 2000-2020 terlihat terjadinya abrasi dan akresi di wilayah pantai yang menyebabkan perubahan garis pantai. Luas daratan berkurang dengan jarak rerata 141,50 m/tahun. Sedangkan luas lahan bertambah dengan jarak rerata 285,69 m/tahun. Hal ini menunjukkan bahwa perubahan yang terjadi pada umumnya adalah penambahan luas bibir pantai karena adanya pengelolaan itu vegetasi yang hidup di sepanjang pantai berpengaruh untuk mengurangi laju abrasi. Kata kunci: DSAS, Pengelolaan Vegetatif, Efektifitas Pengelolaan

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“…Identifying shoreline positions and their shift in response to hydrodynamics is essential to coastal scientists, engineers, and managers [37]. With data of where the current shoreline position is, where it has been in the past and being able to predict where it will be in the future, can inform coastal protection strategies [38]. It also provides the ability to calibrate and verify numerical models [39], assess sea-level change [40], and identify high-risk coastal zones [41].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland

Nuyts,

Farrell,

Nash

et al. 2024

Preprint

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Remote video imagery using shoreline edge detection is widely used in coastal monitoring in order to acquire measurements of nearshore and swash processes. Some of these systems have very limited flexibility due to their rigid structures and require considerable investment in hardware. As such, there is a need for an autonomous low-cost system (~€500) that can be rapidly deployed in the field, while still producing the outcomes required for coastal monitoring. This research presents a sensitivity analysis of time-lapse intervals for two low-cost cameras located in a remote coastal area, overlooking a dissipative beach-dune system. The analysis shows that RMSD in the detected shoreline is similar to other studies for intervals ranging between 1 second and 30 seconds (i.e., RMSDmax for Camera 1 = 2.8 m and Camera 2 = 1.3 m). The increase of the sampling interval from 1 s to 30 s is shown to have no significant adverse effect on the precision of shoreline detection. The research found that the limitations of battery life and memory storage substantially decrease when sampling intervals increase without an effect on the data quality. This also has a positive effect for low-cost systems and removes the requirement for external battery and memory storage. On the systems used, the battery life increased from ~10 days to ~100 days when the sampling interval was increased from 1 to 5 s., As such, the current standard of producing Timex images from 1 s sampling intervals over 10 minutes can be changed depending on the application and requirements needed for analysis.

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Shoreline change and impacts of coastal protection structures on Puducherry, SE coast of India

Cited by 29 publications

References 26 publications

Coastal resilience and shoreline dynamics: assessing the impact of a hybrid beach restoration strategy in Puducherry, India

Coastal resilience and shoreline dynamics: assessing the impact of a hybrid beach restoration strategy in Puducherry, India

Kajian Dinamika Pantai pada Metode Pengelolaan Vegetatif dalam Upaya Pengurangan Bahaya Abrasi di Sebagian Sempadan Pantai Sumatera Barat

Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland

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