Issue |
E3S Web Conf.
Volume 535, 2024
XIII International Scientific and Practical Forum “Environmental Aspects of Sustainability of Construction and Management of Urban Real Estate” (ESCM-2024)
|
|
---|---|---|
Article Number | 01020 | |
Number of page(s) | 11 | |
Section | Innovative and Technical Solutions to Ensure Environmental Sustainability in Construction | |
DOI | https://doi.org/10.1051/e3sconf/202453501020 | |
Published online | 11 June 2024 |
An overview of riverbank erosion prediction techniques applied to the Mekong Delta, Vietnam
Faculty of Civil Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam
1 Corresponding author: thinhtls@tlu.edu.vn
In recent times, the Mekong Delta has been experiencing severe riverbank erosion, causing significant damage to property, homes, land, and riverside infrastructure. The region is facing increasing intensity of erosion events, attributed to the impact of climate change and the effects of hydropower dams and water control systems upstream on the Mekong River. This paper discusses five key methodologies currently applied for riverbank erosion prediction in the Mekong Delta: digital map overlay, historical topographic data analysis, geophysical and terrain change analysis, physical phenomenon simulation using analogous conditions, and empirical formula-based prediction. Each method's theoretical foundation, procedural steps, and potential limitations are explored in depth.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.