Warianty tytułu
Monitorowanie erozji i osadzania się na wybrzeżu w mieście Sam Son, Wietnam – wkład danych z teledetekcji
Języki publikacji
Abstrakty
Studying the trends in shoreline erosion and accretion is essential for a wide range of investigations conducted by coastal scientists, and coastal managers. Shoreline erosion and accretion occur as a result of both natural and human influences. Some areas along shoreline in Sam Son are eroded and deposed by natural coastal processes and human actions, such as storm, wave, tourism activities. Purpose of this work is to study the erosion and deposition in Sam Son over 33 years (1989–2022). Coastlines were extracted using multi-temporal Landsat images, and the shoreline change rate was determined using Digital Shoreline Analysis Systems (DSAS). The results of this paper inlustrated that the shoreline change in Sam Son undergoes significant and varied fluctuations across different areas. At the Hoi estuary, erosion rates vary from -2.22 m/year to -40.32 m/year. The construction of FLC Sam Son is one of the factors contributing to sedimentation loss in the northern part of Sam Son City, which is situated adjacent to the East Sea and next to the Ma River. Furthermore, the accretion rate has strongly increased, reaching 9.7 m/year in the Do River estuary. The phenomenon of sediment deposition serves as the basic for constructing hotels to cater to tourism in Sam Son.
Badanie trendów erozji i akrecji linii brzegowej jest istotne dla szerokiego zakresu badań prowadzonych przez naukowców nadmorskich i menedżerów wybrzeża. Erozja i akrecja linii brzegowej występują zarówno w wyniku procesów naturalnych, jak i wpływu człowieka. Pewne obszary wzdłuż linii brzegowej w Sam Son ulegają erozji i akrecji w wyniku naturalnych procesów przybrzeżnych i działań ludz-kich, takich jak burze, fale, działalność turystyczna... Celem tej pracy jest zbadanie erozji i akrecji w Sam Son na przestrzeni 33 lat (1989–2022). Linie brzegowe zostały wyodrębnione z wykorzystaniem wieloczasowych obrazów satelitarnych Landsat, a wskaźnik zmian linii brzegowej został określony przy użyciu systemów cyfrowej analizy linii brzegowej (DSAS). Wyniki tej pracy ilustrują, że zmiany linii brze-gowej w Sam Son podlegają znacznym i zróżnicowanym fluktuacjom w różnych obszarach. W ujściu rzeki Hoi wskaźniki erozji wahają się od -2,22 m/rok do -40,32 m/rok. Budowa FLC Sam Son jest jednym z czynników przyczyniających się do utraty osadów w północnej części miasta Sam Son, która sąsiaduje z Morzem Wschodnim i rzeką Ma. Ponadto, wskaźnik akrecji znacząco wzrósł, osiągając 9,7 m/rok w ujściu rzeki Do. Zjawisko osadzania się osadów służy jako podstawa do budowy hoteli obsługujących turystykę w Sam Son
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
79--87
Opis fizyczny
Bibliogr. 37 poz., rys.,. tab., wykr.
Twórcy
autor
- Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam, phamthilan@humg.edu.vn
autor
- Hong Duc University, Thanh Hoa, Vietnam
autor
- Department of Space and Applications, Vietnam France University, Hanoi, Vietnam
autor
- Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
Bibliografia
- 1. Bouchahma, M. and W. Yan, Monitoring shoreline change on Djerba Island using GIS and multi-temporal satellite data. Arabian Journal of Geosciences, 2013. 7(9): p. 3705-3713.
- 2. Boak, E.H. and I.L. Turner, Shoreline Definition and Detection: A Review. Journal of Coastal Research, 2005. 214: p. 688-703.
- 3. Oyedotun, T.D.T., A. Ruiz-Luna, and A.G. Navarro-Hernández, Contemporary shoreline changes and consequences at a tropical coastal domain. Geology, Ecology, and Landscapes, 2018. 2(2): p. 104-114.
- 4. Davidson, M.A., et al., Annual prediction of shoreline erosion and subsequent recovery. Coastal Engineering, 2017. 130: p. 14-25.
- 5. Kaliraj Seenipandi, K.K. Ramachandran, and N. Chandrasekar, Modeling of coastal vulnerability to sea-level rise and shoreline erosion using modified CVI model. Remote Sensing of Ocean and Coastal Environments, 2021. Earth Observation: p. 315-340.
- 6. Zhang, K., B.C. Douglas, and S.P. Leatherman, Global Warming and Coastal Erosion. Climatic Change, 2004. 64(1/2): p. 41-58.
- 7. Haddow, G.D., J.A. Bullock, and D.P. Coppola, Natural and Technological Hazards and Risk Assessment, in Introduction to Emergency Management. 2020. p. 33-84.
- 8. Prasetya, G., Chapter 4: Protection from coastal erosion, in The role of coastal forests and trees in protecting against coastal erosion 2023, Agency for the Assessment and Application of Technology, Indonesia: FAO. p. 103-131.
- 9. Yincan, Y. and et al., Coastal Erosion, in Marine Geo-Hazards in China. 2017. p. 269-296.
- 10. Balasuriya, A., Coastal Area Management: Biodiversity and Ecological Sustainability in Sri Lankan Perspective, in Biodiversity and Climate Change Adaptation in Tropical Islands. 2018. p. 701-724.
- 11. Huu Duy NGUYEN., et al., Impacts of urbanization and tourism on the erosion and accretion. Urbanism. Arhitectură. Construcţii, 2020. 11: p. 123-156.
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- 13. Vinh, V.D., et al., Sediment transport and cause of the deposition in Nai Lagoon (Ninh Thuan province) (in vietnamese). Vietnam Journal of Marine Science and Technology, 2016. 16(3): p. 283-296.
- 14. Li, B., J.P. Liu, and Y. Jia, Comparison of the Causes of Erosion-Deposition between Yellow River, Yangtze River and Mekong River Subaqueous Deltas II: Comparative Analysis. Water, 2022. 15(1).
- 15. Burningham, H. and M. Fernandez-Nunez, Shoreline change analysis, in Sandy Beach Morphodynamics. 2020. p. 439-460.
- 16. Saravanan, S., K.S.S. Parthasarathy, and S.R. Vishnuprasath, Monitoring Spatial and Temporal Scales of Shoreline Changes in the Cuddalore Region, India, in Coastal Zone Management. 2019. p. 99-112.
- 17. Bouchahma, M. and W. Yan, Automatic Measurement of Shoreline Change on Djerba Island of Tunisia. Computer and Information Science, 2012. 5(5).
- 18. Lan, P.T., et al., Application of Remote Sensing and GIS technology for monitoring coastal changes in estuary area of the Red river system, Vietnam. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 2013. 31(6_2): p. 529-538.
- 19. A. A. Alesheikh, A. Ghorbanali, and N. Nouri, Coastline change detection using remote sensing. Int. J. Environ. Sci. Tech, 2007. 4(1): p. 61-66.
- 20. Kuleli, T., et al., Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Engineering, 2011. 38(10): p. 1141-1149.
- 21. Yongjing. Mao, et al., Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 2021. 181: p. 385-399.
- 22. Vassilakis, E., A. Tsokos, and E. Kotsi, Shoreline Change Detection and Coastal Erosion Monitoring Using Digital Processing of a Time Series of High Spatial Resolution Remote Sensing Data. Bulletin of the Geological Society of Greece, 2017. 50(3).
- 23. Murray, J., et al., Monitoring Shoreline Changes along the Southwestern Coast of South Africa from 1937 to 2020 Using Varied Remote Sensing Data and Approaches. Remote Sensing, 2023. 15(2).
- 24. Nguyen Xuan Hai and T.D. Thanh. Sam Son marine tourism adaptation to climate change. in Sustainable tourism: Shaping a Better Future. 2020. Bangkok, Thailand: Kasetsart University.
- 25. Cong Quan Nguyen. and V.H. Pham., The topographic and dynamic landscape characteristics of the coastal river mouth area of the Ma River, Thanh Hoa province. Vietnam Journal of Earth Sciences, 2016(1): p. 59-65 (in Vietnamese).
- 26. Baig, M.R.I., et al., Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS). Annals of GIS, 2020. 26(4): p. 361-376.
- 27. Moore, L.J., P. Ruggiero, and J.H. List, Comparing Mean High Water and High Water Line Shorelines: Should Proxy-Datum Offsets be Incorporated into Shoreline Change Analysis? Journal of Coastal Research, 2006. 224: p. 894-905.
- 28. Kim Dung Le and T.L. Pham, Shoreline Changes and Their Impacts on Tourism: A Case Study of Sam Son City, Thanh Hoa Province, Vietnam. European Geographical Studies, 2022. 9(1): p. 12-20.
- 29. McFeeters, S.K., The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 2007. 17(7): p. 1425-1432.
- 30. Feyisa, G.L., et al., Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment, 2014. 140: p. 23-35.
- 31. Xu, H., Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 2007. 27(14): p. 3025-3033.
- 32. Gao, B.C., NDWI - A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water From Space. Remote Sens. Environ, 1996. 58: p. 257-266.
- 33. Liu, Y., et al., Analysis of Coastline Extraction from Landsat-8 OLI Imagery. Water, 2017. 9(11).
- 34. Mendonça Diniz, M.T., et al., Variation of the Coastline Between the Years of 1984 and 2017 in the State of Sergipe, Northeast Region, Brazil. Journal of Coastal Research, 2020. 95(sp1).
- 35. Van Cu Nguyen. and H.T. Pham., Coastal erosion in Central Vietnam. 2003, Hanoi: Science and technics publishing house (in Vietnamese).
- 36. Manh Hung Le. and V.C. Ho, Analyze the landslide development and determine the causes of the morphological changes of the Sam Son coastline in Thanh Hoa province. Journal Science and Technology Water Resources, 2013. 16: p. 119-126 (in Vietnamese).
- 37. Viet Cuong Ho. and M.H. Le., Study the impact of the dynamic hydrological regime in the coastal zone, affecting the development of erosion on the Sam Son coastline in Thanh Hoa. Journal Science and Technology Water Resources, 2012. 10: p. 2 -9 (in Vietnamese).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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