A numerical modelling approach for beach erosion forecast during the southwest monsoon season
R RATHEESH P G REMYA RITESH AGRAWAL CH VENKITESWARLU B GIREESH P AMARENDRA T M BALAKRISHNAN NAIR A S RAJAWAT
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Identifying coastal stretches that are likely to erode under high wave conditions is essential to the coastal management community in addressing beach erosion-related issues. The manuscript presents a case study to predict erosion of a selected beach located on the eastern Indian coast during the 2018 southwest (SW) monsoon season. The pre-monsoon beach topography surveyed using DGPS is used as the initial topographic condition in the morphological model. The model simulates subsequent beach erosion during the SW monsoon season, which is forced by forecast waves. Beach erosion advisories that classify the beach as eroding, accreting and no change are disseminated with a lead period of 10 days. During the SW monsoon period, we have monitored the beach using the dumpy level, and the beach topography during the postmonsoon is generated using DGPS surveyed profiles and are used for model validation. The beach area under erosion observed from the model result is homologous with the in-situ observations. The model shows cross-shore sediment transport to dominate during the SW monsoon, particularly in the central and northern sectors of RK beach. The model estimated shoreline position agrees with the DGPS observations, where the central sector has undergone maximum erosion. The comparison shows the model’s ability to simulate beach morphodynamics like landward shifting of the berm crest under a high wave setup and oscillating water levels due to tides. The study highlights the importance of numerical modelling systems that decipher the beach response to the high monsoon waves.
$\bullet$ Beach erosion forecast system for RK Beach, India.
$\bullet$ Forecast system is developed using a combination of WAVEWATCHIII and Xbeach.
$\bullet$ Beach erosion advisories during monsoon period.
R RATHEESH1 P G REMYA2 RITESH AGRAWAL1 CH VENKITESWARLU3 B GIREESH3 P AMARENDRA3 T M BALAKRISHNAN NAIR2 A S RAJAWAT1
Volume 132, 2023
Continuous Article Publishing mode
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