Evaluating Coastal Erosion and Accretion Along Batu Ferringhi Beach with Digital Shoreline Analysis System

Coastal areas face significant challenges due to climate change, particularly through intensified wave action, which contributes to alterations in shoreline dynamics. The primary objective of this study is to assess these coastal changes by examining shoreline variations over eight years from 2016 to 2024, utilizing Sentinel satellite imagery for shoreline creation. A comprehensive methodology involving Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR) was applied through DSAS. Results indicate that the maximum distance observed in SCE was 52.75 m, while the minimum was 12.85 m. NSM showed a maximum positive distance of 41.4 m and a maximum negative distance of -35.91 m. On the other hand, EPR indicated a maximum erosion rate of -4.49 m/yr and a maximum accretion rate of 5.18 m/yr. Similarly, LRR and WLR reported maximum erosion rates of -3.11 m/yr and maximum accretion rates of 6.26 m/yr. In conclusion, the findings underscore the dynamic nature of Batu Ferringhi Beach, highlighting the necessity for effective coastal management strategies to mitigate erosion impacts. Future research should focus on integrating climate modeling with shoreline management practices to enhance resilience against ongoing environmental changes.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-05-23
DOI
https://doi.org/10.1051/bioconf/202517601001/pdf
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
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article

Evaluating Coastal Erosion and Accretion Along Batu Ferringhi Beach with Digital Shoreline Analysis System

Springer Link (Chiba Institute of Technology)
Coastal and Marine Dynamics
article

Evaluating Coastal Erosion and Accretion Along Batu Ferringhi Beach with Digital Shoreline Analysis System

article en

Abstract

Coastal areas face significant challenges due to climate change, particularly through intensified wave action, which contributes to alterations in shoreline dynamics. The primary objective of this study is to assess these coastal changes by examining shoreline variations over eight years from 2016 to 2024, utilizing Sentinel satellite imagery for shoreline creation. A comprehensive methodology involving Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR) was applied through DSAS. Results indicate that the maximum distance observed in SCE was 52.75 m, while the minimum was 12.85 m. NSM showed a maximum positive distance of 41.4 m and a maximum negative distance of -35.91 m. On the other hand, EPR indicated a maximum erosion rate of -4.49 m/yr and a maximum accretion rate of 5.18 m/yr. Similarly, LRR and WLR reported maximum erosion rates of -3.11 m/yr and maximum accretion rates of 6.26 m/yr. In conclusion, the findings underscore the dynamic nature of Batu Ferringhi Beach, highlighting the necessity for effective coastal management strategies to mitigate erosion impacts. Future research should focus on integrating climate modeling with shoreline management practices to enhance resilience against ongoing environmental changes.

Springer Link (Chiba Institute of Technology)
Climate action
Openalex Percentile: Top 27%
Coastal and Marine Dynamics
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