Effects of riverbed incision on the hydrology of the Vietnamese Mekong Delta

Binh, Doan Van; Kantoush, Sameh A.; Takemon, Yasuhiro; Phương, Nguyễn Thu; Ngoc, Trieu Anh; Trung, La Vinh; Tran, Dang An

doi:10.1002/hyp.14030

Cited by 37 publications

(28 citation statements)

References 68 publications

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“…Binh, Kantoush, et al. (2021) revealed a clockwise hysteresis relation between the discharge and water level in the VMD, suggesting that RCs for rising and falling limbs should be developed differently. In the VMD, the flow characteristics in the rising and falling limbs are completely different: the former is controlled by riverine flood waves from upstream and the latter is strongly influenced by tides.…”

Section: Resultsmentioning

confidence: 99%

“…These RCs were separately established based on both year‐round data and data for the rising and falling limbs, following the work of Binh, Kantoush, et al. (2021). One of the purposes of this approach was to understand the advantages of nonlinear models with ML versus linear regression models based on RCs.…”

Section: Proposed Methods and Materials Usedmentioning

confidence: 99%

“…RC has been widely used to reconstruct missing data in deltas, although a special focus must be placed on various tasks, such as establishing RCs for the rising and falling limbs separately (Binh, Kantoush, et al., 2021). Moftakhari et al.…”

Section: Introductionmentioning

confidence: 99%

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Reconstructing Daily Discharge in a Megadelta Using Machine Learning Techniques

Thanh

Binh

Kantoush

et al. 2022

Water Resources Research

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River discharge is a crucial indicator to understand terrestrial water cycles and supplies necessary information about water resource management (Adnan et al., 2020). Direct measurement of river discharge, such as employing the acoustic Doppler current profiler, is complicated, costly, time-consuming, and labor-intensive because it requires a number of current sensors and repeated surveys performed by boats and is thus unsafe under unfavorable flow and weather conditions (Gisen & Savenije, 2015;Matte et al., 2018). Other noncontact methods, including large-scale particle image velocimetry (LSPIV) (Akbarpour et al., 2020) and remote sensing (Kebede et al., 2020), have recently begun to be used for discharge measurements. Nevertheless, the use of these methods in contiguous monitoring of river discharge is not feasible; for example, LSPIV cannot measure discharge in large rivers because of limited camera coverage, while satellite images are not always available due to cloud cover, particularly during rainy seasons. As a result, at hydrological stations situated on rivers worldwide, flow discharge is not directly measured; rather, it is indirectly estimated either from the widely used stage-discharge rating curve (RC) method or from cubature, rating-fall, tide-correction, and coaxial graphical-correction methods (Matte et al., 2018), in which the stage (water level) is recorded at specific intervals (e.g., daily, hourly, or sub-daily) depending on the goal of the measurements. Due to technical, financial, maintenance and political instability issues, long-term flow discharge datasets may have gaps, resulting in the loss of information or the misinterpretation of historical flow regime changes and hydrological processes (Tencaliec et al., 2015). Therefore, it is important to reconstruct missing discharge values to reliably provide helpful information for water resource management at the basin scale.Several methods, including statistical methods, numerical models, and machine learning (ML) algorithms, have been employed to predict river flows. Recently, ML techniques, such as support vector regression (SVR) (Adnan et al., 2020;Luo et al., 2019), random forest (RF), Gaussian process regression (GPR) (Sun et al., 2014), M5

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Section: Resultsmentioning

confidence: 99%

Section: Proposed Methods and Materials Usedmentioning

confidence: 99%

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Reconstructing Daily Discharge in a Megadelta Using Machine Learning Techniques

Thanh

Binh

Kantoush

et al. 2022

Water Resources Research

Self Cite

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“…Therefore, the decreased floodpulse at Chaktomuk and Neak Luong is likely to propagate further downstream to the VMD. Also, a smaller floodpulse will bring fewer sediments to the VMD (Binh et al, 2021). As a result, current problems of land subsidence and seawater intrusion there may become more severe in the future (Binh et al, 2020a;Kantoush et al, 2017;Zoccarato et al, 2018).…”

Section: Wider Environmental Implicationsmentioning

confidence: 99%

Drastic decline of floodpulse in the Cambodian floodplains (the Mekong River and the Tonle Sap system)

Chua

Oeurng

et al. 2021

Preprint

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Abstract. The Cambodian floodplains experience a yearly floodpulse that is essential to sustain fisheries and the agricultural calendar. Sixty years of data from 1960–2019 are used to track the changes to the floodpulse there. We find that minimum water levels in 2010–2019 have increased by up to 1.55 m at Kratie and maximum water levels have decreased by up to 0.79 m at Prek Kdam when compared to 1960–1991 levels, causing a reduction of the annual flood extent. Concurrently, the duration of the flooding season has decreased by about 26 days (Kompong Cham) – 40 days (Chaktomuk), with the season starting later and ending much earlier. Along the Tonle Sap River, the average annual reverse flow from the Mekong to the Tonle Sap Lake has decreased by 56.5 %, from 48.7 km3 in 1962–1972 to 31.7 km3 in 2010–2018. As a result, wet-season water levels at Tonle Sap Lake has dropped by 1.05 m in 2010–2019 since 1996–2009, corresponding to a 20.6 % shrinkage of the Lake area. In addition to known upstream contributors such as hydropower dams, two anthropogenic causes of the drastic alterations to the floodpulse are identified: irrigation and channel incision. We estimate that water withdrawal in the Cambodian floodplains is occurring at a rate of (2.1 ± 0.3) km3/yr and incision-induced water levels reduction is in the order of (0.43–1.02) m. As the floodpulse is essential for the ecological habitats, fisheries and livelihoods of the region, its reduction will pose major implications throughout the basin, from the Tonle Sap system to the Vietnamese Mekong Delta downstream.

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“…Chi tiết thông số ảnh viễn thám được trình bày như trong Bảng 2. Các ảnh được chọn trong các tháng có cao độ mực nước thấp trong năm[13] để hạn chế ảnh hưởng của dao động mực nước theo mùa.…”

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