Shoreline Changes and Sediment Transport along Nhat Le Coast, Vietnam


  • Vu Dinh Cuong Key Laboratory of River and Coastal Engineering (KLORCE) - Vietnam Academy for Water Resources, Vietnam
  • Nguyen Thanh Hung Key Laboratory of River and Coastal Engineering (KLORCE) - Vietnam Academy for Water Resources, Vietnam
  • Tran Dinh Hoa Vietnam Academy for Water Resources, Vietnam
  • Nguyen Tien Thanh Thuyloi University, Vietnam
Volume: 14 | Issue: 2 | Pages: 13493-13501 | April 2024 |


One of the most beautiful beaches in Northern Vietnam, Nhat Le, has recently experienced severe erosion as a result of the ensemble interaction of natural factors, such as tropical cyclones, extreme weather events, and human activities. Consequently, negative impacts on tourism and social and economic development have been recorded. This paper aims to provide a deep understanding of the changes in shoreline and longshore sediment transport at Nhat Le estuary based on two modules of LITDRIFT and LITLINE of the LITPACK software package combined with geospatial analysis. The rate of change statistics is calculated using the Digital Shoreline Analysis System (DSAS) from 30-year multi-temporal satellite data (1989-2019) for multiple historical shoreline positions. The Module of LITDRIFT is employed to estimate sediment transport and the shoreline position calculated from the LITLINE module. These data are then compared with measured topographic data and satellite images. Wave climate conditions are incorporated into the LITDRIFT module to identify the volume of sediment transport along the coast on seasonal and annual bases. The results illustrate that a mean erosion rate of about 2 m per year was observed in the southern sandspit of Nhat Le from 1989 to 2019. This rate reaches 4.5 m per year during 2009-2019.


Nhat Le beach, shoreline change, littoral sediment transport, Litpack model, DSAS


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How to Cite

V. D. Cuong, N. T. Hung, T. D. Hoa, and N. T. Thanh, “Shoreline Changes and Sediment Transport along Nhat Le Coast, Vietnam”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 2, pp. 13493–13501, Apr. 2024.


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