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Assessment of the Impact of Sand Mining on Bottom Morphology in the Mekong River in An Giang Province, Vietnam, Using a Hydro-Morphological Model with GPU Computing

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Faculty of Marine Resource Management, Ho Chi Minh City University of Natural Resources and Environment, 236B Le Van Sy Street, Ward 1, Tan Binh District, Ho Chi Minh City 700000, Vietnam
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Institute for Environment and Resources, 142 To Hien Thanh Street, Ward 14, District 10, Ho Chi Minh City 700000, Vietnam
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School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST -gil, Ulju, Eonyang, Ulsan 44919, Korea
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Department of Fluid Mechanics, Ho Chi Minh City University of Technology, 268 Ly Thuong Kiet Street, Ward 14, District 10, Ho Chi Minh City 700000, Vietnam
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Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City 700000, Vietnam
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Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul 02841, Korea
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Institute for Computational Science and Technology, SBI building, Quang Trung Software City, Tan Chanh Hiep Ward, District 12, Ho Chi Minh City 700000, Vietnam
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Author to whom correspondence should be addressed.
Water 2020, 12(10), 2912; https://doi.org/10.3390/w12102912
Received: 26 August 2020 / Revised: 15 October 2020 / Accepted: 15 October 2020 / Published: 18 October 2020
(This article belongs to the Section Water Erosion and Sediment Transport)
Sand mining, among the many activities that have significant effects on the bed changes of rivers, has increased in many parts of the world in recent decades. Numerical modeling plays a vital role in simulation in the long term; however, computational time remains a challenge. In this paper, we propose a sand mining component integrated into the bedload continuity equation and combine it with high-performance computing using graphics processing units to boost the speed of the simulation. The developed numerical model is applied to the Mekong river segment, flowing through Tan Chau Town, An Giang Province, Vietnam. The 20 years from 1999 to 2019 is examined in this study, both with and without sand mining activities. The results show that the numerical model can simulate the bed change for the period from 1999 to 2019. By adding the sand mining component (2002–2006), the bed change in the river is modeled closely after the actual development. The Tan An sand mine in the area (2002–2006) caused the channel to deviate slightly from that of An Giang and created a slight erosion channel in 2006 (−23 m). From 2006 to 2014, although Tan An mine stopped operating, the riverbed recovered quite slowly with a small accretion rate (0.25 m/year). However, the Tan An sand mine eroded again from 2014–2019 due to a lack of sand. In 2014, in the Vinh Hoa communes, An Giang Province, the Vinh Hoa sand mine began to operate. The results of simulating with sand mining incidents proved that sand mining caused the erosion channel to move towards the sand mines, and the erosion speed was faster when there was no sand mining. Combined with high-performance computing, harnessing the power of accelerators such as graphics processing units (GPUs) can help run numerical simulations up to 23x times faster. View Full-Text
Keywords: bed change; numerical model; sediment transport; sand mining; mekong delta; GPUs bed change; numerical model; sediment transport; sand mining; mekong delta; GPUs
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Thi Kim, T.; Huong, N.T.M.; Huy, N.D.Q.; Tai, P.A.; Hong, S.; Quan, T.M.; Bay, N.T.; Jeong, W.-K.; Phung, N.K. Assessment of the Impact of Sand Mining on Bottom Morphology in the Mekong River in An Giang Province, Vietnam, Using a Hydro-Morphological Model with GPU Computing. Water 2020, 12, 2912.

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