Assessment and prediction of the shoreline evolution along Tam Hai Tombolo, Quang Nam province
Email:
vietthanh@utc.edu.vn
Keywords:
Shoreline, Remote Sensing & GIS, erosion, accretion, Tam Hai tombolo.
Abstract
Tam Hai Tombolo with three sides facing the sea and one side bordering Truong Giang river, is also the place where the coastal erosion and accretion occur complicatedly. In this work, the combination of remote sensing, geographic information system (GIS) techniques coupled with the Digital Shoreline Analysis System (DSAS) and linear regression method were applied for detecting and evaluating the historical shoreline changes between 1975 and 2019 as well as predicting the position of the future shoreline in Tam Hai tombolo. The results show a clearer and detailed picture of the erosion/accretion rates and locations in the study area in the past as well as in the future. In the period of 1975-2019, the process of erosion and accretion took place alternately. Erosion phenomenon still prevails in the North coast with an rate of -18,51 m/year, meanwhile, the South coast is mostly depositioned at an rate of about +1,1 m/year. However, in the future period of 2019-2050, both the North and South coast areas of Tam Hai Tombolo are predicted to be eroded. Shoreline variability assessment with multi-time remote sensing images provides a fast and accurate tool for coastal management and protection.References
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[3]. A. Alesheikh, A. Ghorbanali, N. Nouri, Coastline change detection using remote sensing, International Journal of Environmental Science & Technology, 4 (2007) 61-66. https://doi.org/10.1007/BF03325962
[4]. E. A. Loos, K. O. Niemann, Shoreline feature extraction from remotely-sensed imagery, IEEE International Geoscience and Remote Sensing Symposium, 2002, https://doi.org/10.1109/IGARSS.2002.1027201
[5]. J. Canny, A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8 (1986) 679-698. https://doi.org/10.1109/TPAMI.1986.4767851
[6]. H. Liu, K. C. Jezek, Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods, International Journal of Remote Sensing, 25 (2004) 937-958. https://doi.org/10.1080/0143116031000139890
[7]. C. Brière et al., Assessment of TELEMAC system performances, a hydrodynamic case study of Anglet, France, Coastal Engineering, 54 (2007) 345-356. https://doi.org/10.1016/j.coastaleng.2006.10.006
[8]. M. Hsu etal., Procedure to Calibrate and Verify Numerical Models of Estuarine Hydrodynamics, Journal of Hydraulic Engineering, 125 (1999) 166-182. https://doi.org/10.1061/(ASCE)0733-9429(1999)125:2(166)
[9]. W. Liu, M. Hsu, A. Kuo, Modelling of hydrodynamics and cohesive sediment transport in Tanshui River estuarine system, Taiwan, Marine Pollution Bulletin, 44 (2002) 1076-1088. https://doi.org/10.1016/S0025-326X(02)00160-1
[10]. Z. Liu, Hydrodynamic and Sediment Transport Numerical Modelling and Applications at Tairua Estuary, University of Waikato, New Zealand, 2014. https://hdl.handle.net/10289/8672
[11]. H. S. Mashriqui, Hydrodynamic and Sediment Transport Modeling of Deltaic sediment processes, Department of Civil and Environmental Engineering, Louisiana State University, 2003.
[12]. D. Roelvink et al., Modelling storm impacts on beaches, dunes and barrier islands, Coastal Engineering, 56 (2009) 1133-1152. https://doi.org/10.1016/j.coastaleng.2009.08.006
[13]. J. Sutherland, A. H. Peet, R. L. Soulsby, Evaluating the performance of morphological models, Coastal Engineering, 51 (2004) 917-939. https://doi.org/10.1016/j.coastaleng.2004.07.015
[14]. J. Sutherland et al., Evaluation of coastal area modelling systems at an estuary mouth, Coastal Engineering, 51 (2004) 119-142. https://doi.org/10.1016/j.coastaleng.2003.12.003
[15]. B. C. Douglas, C. Mark, Long-Term Shoreline Position Prediction and Error Propagation, Journal of Coastal Research, 16 (2000) 145-152. https://www.jstor.org/stable/4300019
[16]. S. Fenster Michael, R. Dolan, J. F. Elder, A New Method for Predicting Shoreline Positions from Historical Data, Journal of Coastal Research, 9 (1993) 147-171. https://www.jstor.org/stable/4298075
[17]. R. Li et al., Spatial Modeling and Analysis for Shoreline Change Detection and Coastal Erosion Monitoring, Marine Geodesy, 24 (2001) 1-12. https://doi.org/10.1080/01490410121502
[18]. L. D. Nguyen et al., Analysis of changes in the riverbanks of Mekong river-Vietnam by using multi-temporal remote sensing data, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Kyoto, Japan, 2010.
[19]. E. R. Thieler et al, Digital shoreline analysis system (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change, in File Report 2008-1278, U.S. Geological Survey Open, 2009.
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Received
14/01/2021
Revised
20/04/2021
Accepted
14/05/2021
Published
15/06/2021
Type
Research Article
How to Cite
Vũ Minh, T., Lương Phương, H., Nguyễn Viết, T., & Hồ Sỹ, T. (1623690000). Assessment and prediction of the shoreline evolution along Tam Hai Tombolo, Quang Nam province. Transport and Communications Science Journal, 72(5), 605-619. https://doi.org/10.47869/tcsj.72.5.8
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