Sand mining in the Mekong Delta revisited - current scales of local sediment deficits

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Jordan, Christian; Tiede, Jan; Lojek, Oliver; Visscher, Jan; Apel, Heiko et al.: Sand mining in the Mekong Delta revisited - current scales of local sediment deficits. In: Scientific Reports 9 (2019), Nr. 1, 17823. DOI: https://doi.org/10.1038/s41598-019-53804-z

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Sum total of downloads: 383




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Abstract: 
The delta of the Mekong River in Vietnam has been heavily impacted by anthropogenic stresses in recent years, such as upstream dam construction and sand mining within the main and distributary channels, leading to riverbank and coastal erosion. Intensive bathymetric surveys, conducted within the Tien River branch during the dry and wet season 2018, reveal a high magnitude of sand mining activities. For the year 2018, an analysis of bathymetric maps and the local refilling processes leads to an estimated sand extraction volume of 4.64 ± 0.31 Mm3/yr in the study area, which covered around 20 km. Reported statistics of sand mining for all of the Mekong’s channels within the delta, which have a cumulative length of several hundred kilometres, are 17.77 Mm3/yr for this period. Results from this study highlight that these statistics are likely too conservative. It is also shown that natural sediment supplies from upper reaches of the Mekong are insufficient to compensate for the loss of extracted bed aggregates, illustrating the non-sustainable nature of the local sand mining practices.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of United States United States 144 37.60%
2 image of flag of Germany Germany 89 23.24%
3 image of flag of United Kingdom United Kingdom 16 4.18%
4 image of flag of No geo information available No geo information available 14 3.66%
5 image of flag of Vietnam Vietnam 10 2.61%
6 image of flag of Latvia Latvia 9 2.35%
7 image of flag of China China 9 2.35%
8 image of flag of India India 8 2.09%
9 image of flag of France France 8 2.09%
10 image of flag of Netherlands Netherlands 7 1.83%
    other countries 69 18.02%

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