One-dimensional modelling of channel evolution in an alluvial river with the effect of large-scale regulation engineering

Xia, Junqiang; Deng, Shanshan

doi:10.1016/j.jhydrol.2019.05.074

Cited by 19 publications

(8 citation statements)

References 25 publications

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“…Equations are prevailing governing equations within 1‐D hydro‐sediment model (Yang, 1993; Zhou et al, 2019). These could elucidate the sediment lag effect and SSC peak attenuation in the reservoir (Chen et al, 2021; Huang et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…The momentum equation is

\frac{\partial Q}{\partial t} + \frac{\partial}{\partial x} (α \frac{Q^{2}}{A}) + gA (\frac{\partial Z}{\partial X} + \frac{nQ |Q|}{A^{2} R^{4 / 3}}) = \frac{{normalQ}^{'} v}{italicΔx}

where A is the wetted cross‐sectional area ( m 2 ); R is the hydraulic radius ( m ); Q is the flow discharge (m 3 /s); Z is the water level ( m ); n is the Manning roughness coefficient; α is the correction parameter,

\partial = \frac{\int {normalU}^{2} dA}{{normalQ}^{2} / A}

, U is average cross‐sectional flow velocity (m/s); Q' and v are the flow discharge (m 3 /s) and velocity (m/s) of lateral supplement flow; x and t are the longitudinal length (m) and time (s), respectively; g is the gravitational acceleration (m/s 2 ). As quasilinear equations, Equations () and () can be solved by the Preissmann implicit scheme (Zhou et al, 2019). The suspended sediment continuity equation is

\frac{\partial (A S_{k})}{\partial t} + \frac{\partial (Q S_{k})}{\partial x} + α_{normalk} B ω_{k} (S_{k} - S_{k}^{*}) = S_{c k} q

where S k and S k * are the suspended sediment concentration (kg/ m 3 ) and suspended sediment transport capacity (kg/ m 3 ) for the kth grain size fraction, respectively; B is the water surface width ( m ); S ck is the suspended sediment concentration of the lateral supplement (kg/m 3 ); α k is the recovery coefficient for the kth grain size fraction, which is calculated by the method proposed by Wang et al (2003); ω k is the sediment setting velocity for the kth grain (m/s).…”

Section: Methodsmentioning

confidence: 99%

“…where A is the wetted cross-sectional area (m 2 ); R is the hydraulic radius (m); Q is the flow discharge (m 3 /s); Z is the water level (m); n is the Manning roughness coefficient; α is the correction parameter, g is the gravitational acceleration (m/s 2 ). As quasilinear equations, Equations ( 4) and ( 5) can be solved by the Preissmann implicit scheme (Zhou et al, 2019).…”

Section: Governing Equationsmentioning

confidence: 99%

See 2 more Smart Citations

Propagation characteristics of the flow and suspended sediment peaks in the three gorges reservoir, China: Insight from numerical simulations and measured data

Liu,

Wang,

Wang

et al. 2023

Hydrological Processes

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Effective management of reservoir sedimentation necessitates the characterization of flood events, especially in relation to the propagation of the flow peak (Qpeak) and the suspended sediment concentration peak (SSCpeak). This study, based on a one‐dimensional river network hydro‐sediment model together with field data, presents an exploration of the flood events in the Three Gorges Reservoir (TGR) with focus on the propagating characteristics of Qpeak and SSCpeak. The findings reveal that the main flood season (from July to September) contributed over 80% of the annual sediment load into the TGR, with the mainstream Yangtze and its tributary, the Jialing River, being the primary sediment sources. After the impoundment of the TGR, the propagation time of Qpeak decreases with the raise of the water level in front of dam (WLdam). The increases in Qpeak discharge extends the range of river reach dominated by kinematic wave, resulting in an increase trend in Qpeak propagation time. The propagating speed of SSCpeak is closely related to the ratio of sediment concentration to flow discharge and WLdam. Finally, the propagating durations of Qpeak and SSCpeak in the TGR are compared, and empirical formulas are proposed for quantifying their difference.

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Section: Discussionmentioning

confidence: 99%

“…The momentum equation is

\frac{\partial Q}{\partial t} + \frac{\partial}{\partial x} (α \frac{Q^{2}}{A}) + gA (\frac{\partial Z}{\partial X} + \frac{nQ |Q|}{A^{2} R^{4 / 3}}) = \frac{{normalQ}^{'} v}{italicΔx}

\partial = \frac{\int {normalU}^{2} dA}{{normalQ}^{2} / A}

\frac{\partial (A S_{k})}{\partial t} + \frac{\partial (Q S_{k})}{\partial x} + α_{normalk} B ω_{k} (S_{k} - S_{k}^{*}) = S_{c k} q

Section: Methodsmentioning

confidence: 99%

Section: Governing Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Propagation characteristics of the flow and suspended sediment peaks in the three gorges reservoir, China: Insight from numerical simulations and measured data

Liu,

Wang,

Wang

et al. 2023

Hydrological Processes

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“…Riverbed deformation is usually accompanied by changes in river flow characteristics (Zhou, Xia, & Deng, 2019). For example, large‐scale mining activities in the Soai Rap Estuary of Vietnam have greatly altered the morphology of the Dong Nai River, including the hydrodynamic and sediment transport characteristics (Ngoc Anh et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

River adjustments in response to human activities: A case study of the lower Beijiang River, China

Ding,

Huang,

et al. 2023

Earth Surf Processes Landf

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Intensive human activity has caused significant changes in the river morphology and hydrological characteristics of the Pearl River Delta. Particularly, in‐channel mining and dam construction have induced remarkable levels of downward riverbed incision. Although strict control measures have been implemented for in‐channel sand mining, it remains unclear how the river has evolved since the abandonment of high‐intensity mining and its impact on flow diversion at the downstream confluence. This study presents the hydrological and morphological adjustments in the lower Beijiang River, the second largest tributary of the Pearl River, under the impacts of human interventions. A hydrodynamic model was developed to reveal the impacts of riverbed deformation on the flow diversion ratio at Sixianjiao, the confluence of the Beijaing River and the Xijiang River. The results showed that construction of cascade reservoirs upstream reach did not strongly influence run‐off, whereas incoming sediment loads were decreased. Because of upstream damming and in‐channel sand mining, a dramatic downward incision was observed in the lower Beijiang River, with a degradation volume of approximately 239.8 million m3 from 1999 to 2012. Particularly, in the upper reach, the incision depth was typically larger than 8 m. Riverbed incision caused continuous changes in the water stage–discharge relationship, and discharge increased remarkably under the same water level at the three hydrometric stations. During 2012–2020, because in‐channel sand mining was strictly controlled, rapid degradation was alleviated, deposition occurred in some cross‐sections and the deformation volume decreased by approximately 90% compared to that in the last period. A fast downward incision induced a change in flow exchange between the two rivers, and the flow diversion ratio of the Beijiang River increased from an average of 17% before 1998 to more than 21%.

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“…Actualmente, a nivel mundial y particularmente en México existen numerosas causas de degradación de la calidad del agua y de las comunidades biológicas que habitan. Entre ellas se enlistan la contaminación por materia orgánica, el enriquecimiento en nutrientes, la eliminación o degradación del bosque de ribera (Escalona-Domenech et al, 2022), la rectificación y canalización de ríos (Tovilla, 2005), la regulación de cauces, el aumento de contaminantes inorgánicos y orgánicos persistentes y las actividades mineras (Zhou et al, 2019;De los Santos et al, 2022;Golin et al, 2022). Estas causas han provocado modificaciones importantes en el estado ecológico de los ríos en México (Díaz-Pascacio et al, 2018;Ortiz, 2019).…”

Section: Introductionunclassified

EN PRENSA. Condición ecológica en un gradiente altitudinal del Río Margaritas, Chiapas, México. EN PRENSA

Barrios-Calderón

Escalona-Domenech²

2023

rbio

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La condición ecológica es un parámetro que permite diagnosticar la estructura y funcionalidad de los ríos. La cuenca del Río Margaritas, localizada en el municipio de Pijijiapan, Chiapas, México es una fuente importante de recarga y provisión hídrica. Con el objetivo de evaluar la condición ecológica presente en un gradiente altitudinal del Río Margaritas, se realizó la evaluación visual del hábitat físico a través del protocolo de Barbour y se determinaron los parámetros fisicoquímicos (profundidad, oxígeno disuelto, conductividad eléctrica, temperatura, salinidad y potencial de Hidrógeno). También se cuantificaron los iones de amonio, nitritos, nitratos y fosfatos en tres sitios de estudio. Se realizaron tres repeticiones y se aplicó un análisis de varianza y comparación de medias por Tukey-kramer (p ≥ 0.05). Los resultados mostraron una condición de hábitat sub óptima (sitios Margaritas 1 y 2) y marginal (sitio Río Ramón). Los parámetros fisicoquímicos presentaron diferencias significativas para la conductividad eléctrica específica en el sitio (F2,6 = 68.77 p ≤ 0.0001), conductividad eléctrica a 25 ºC (F2,6 = 59.67 p = 0.0001) y temperatura del agua (F2,6 = 160.66, p ≤ 0.0001), donde los valores más altos fueron los del sitio Margaritas 2. La concentración de nitratos (6.83 ± 0.55 mg/L) y nitritos (3.67 ± 1.15 mg/L) obtenidos en el sitio Margaritas 2 fueron los valores más altos. Finalmente, los iones de fosfato presentaron los valores más altos en el sitio Río Ramón (0.12 ± 0.05 mg/L). Los resultados obtenidos brindan una perspectiva actual sobre el estado y condición del Río Margaritas, siendo necesario implementar estrategias de gestión propicias para cada zona de estudio.

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One-dimensional modelling of channel evolution in an alluvial river with the effect of large-scale regulation engineering

Cited by 19 publications

References 25 publications

Propagation characteristics of the flow and suspended sediment peaks in the three gorges reservoir, China: Insight from numerical simulations and measured data

Propagation characteristics of the flow and suspended sediment peaks in the three gorges reservoir, China: Insight from numerical simulations and measured data

River adjustments in response to human activities: A case study of the lower Beijiang River, China

EN PRENSA. Condición ecológica en un gradiente altitudinal del Río Margaritas, Chiapas, México. EN PRENSA

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