Author(s): M. Dhananjayan; Sannasiraj Sa
Linked Author(s):
Keywords: Shoreline prediction Linear Regression Model coastal erosion field validation
Abstract: The Kattupalli coastline on the northern part of Chennai city has undergone significant shoreline changes due to a combination of natural processes and anthropogenic activities, highlighting the need for accurate predictive models for effective coastal management. Previous researchers utilized satellite imagery to analyze historical shoreline changes and employed the Linear Regression Model (LR) to predict future shoreline positions. In this study, field data from 2019 to 2024 are compared with the predicted shoreline positions for 2030 to validate the model to assess its accuracy. Results revealed the observed shoreline retreat of -81.83m (Transect 5) and -100.28m (Transect 6), compared to predicted values of -120m, with an RMSE of ±30.38m, indicating moderate deviations likely caused by cyclonic impacts and sediment disruptions. This data provides critical baseline information for enhancing shoreline prediction models and supports the development of sustainable coastal protection and management strategies.
Year: 2025