Response of reach-scale bankfull channel geometry to the altered flow and sediment regime in the lower Yellow River

Xia, Junqiang; Li, Xiaojuan; Li, Tao; Zhang, Xiaolei; Zong, Quanli

doi:10.1016/j.geomorph.2014.01.017

Cited by 81 publications

(85 citation statements)

References 26 publications

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“…Xia et al () found that discharge and sediment load were the two dominant factors determining the bankfull channel dimensions in an alluvial river, but sediment load was not identified as an important factor in our study. Sediment load was not correlated with either flood‐peak discharge or flood‐peak water table (Table ).…”

Section: Discussioncontrasting

confidence: 68%

A framework approach for unravelling the impact of multiple factors influencing flooding

Gai

Mendoza‐Carranza

Wang

et al. 2017

J Flood Risk Management

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To have a better understanding of the influence of topographic, climatic, and, especially, anthropogenic factors on hydrological discharge and flooding, this study proposes a new framework approach using a set of methods to answer the questions why, where, when, and how flooding occurs. Including conditional inference tree (CIT), cross‐correlation, and double‐mass curves analysis, the approach is demonstrated in an application to the Wei River Basin, China. From the CIT analysis, dam construction period was identified as the most important factor (why), and the sub‐catchment farthest upstream contributed the most to the flooding of the downstream floodplain (where). We then analysed the effect of the periods of dam construction on the time lag change (when) and the precipitation–discharge relationship (how) using cross‐correlation analysis and double‐mass curves analysis, respectively. The results suggested that the dam construction delayed the precipitation for 0.4 days on average compared to before the dam construction period, and the discharge at the outlet of the basin was reduced by 44%. This framework approach is promising as it can quantitatively evaluate the importance of multiple factors on multiple years of flooding, while many studies evaluate single flooding events.

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Section: Discussioncontrasting

confidence: 68%

A framework approach for unravelling the impact of multiple factors influencing flooding

Gai

Mendoza‐Carranza

Wang

et al. 2017

J Flood Risk Management

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show abstract

“…On the one hand, extreme flood peaks in the lower Huanghe have been completely controlled, low and constant flow (mostly < 2000 m 3 s À1 ) dominates the discharge pattern for most of the year, and relatively-higher flows (2000-4000 m 3 s À1 ) are mainly concentrated in a human-made flood (WSR) since 2002 (Yu et al, 2013a). As a result of continuous scouring in the lower Huanghe, the median grain size of the riverbed material gradually increased from 36~56 μm in 1999 to about 151 μm in 2012 (Xia et al, 2014a). Besides reducing sediment supply, the reservoir trapping effect also changes the compositions of sediment entering the lower Huanghe, and only the fine sediment can be expelled from the reservoir .…”

Section: Transport Dynamics Of Poc In the Lower Huanghementioning

confidence: 99%

Effect of human‐controlled hydrological regime on the source, transport, and flux of particulate organic carbon from the lower Huanghe (Yellow River)

et al. 2015

Earth Surf Processes Landf

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Evaluating the role of fluvial transfer of terrestrial organic carbon (OC) and subsequent burial in the global carbon cycle requires the sources and fluxes of fluvial OC to be assessed, which remains poorly constrained in the Huanghe (Yellow River). Here, we report the elemental, stable isotopic, and radiocarbon activity of particulate organic carbon (POC) sampled at the outlet of Huanghe in 2012–2013. We show that the Huanghe riverine POC can be explained by binary mixing of fossil (POCfossil) and non‐fossil (POCnon‐fossil) components, the former may reach ~40% of the total POC. The Huanghe POCnon‐fossil is mostly sourced from C3 plants, with a mean residence time of c. 2200 years. The current human‐controlled hydrological regime strongly influenced the POC sources, transport modes, and fluxes. In 2012–2013, the Huanghe delivered 0.73 Tg (1 Tg = 1012 g) of POC to the sea, and about 28% of the annual POC flux occurred within a short human induced flood event. Globally, the Huanghe should be one of the largest rivers in the transfer and re‐burial of fossil OC. However, the fate of Huanghe fossil OC is still unconstrained and needs to be further investigated. Copyright © 2015 John Wiley & Sons, Ltd.

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“…Analysing bankfull widths at a reach-scale can provide representative geometry and statistics characterising longitudinal variability in a channel Stewardson, 2005;Harman et al, 2008;Xia et al, 2014). Flow width generally changes depending on the bankfull discharge, as the conditions forming the shape and morphology of a channel with recurrence intervals ranging between one and two years (Wolman and Leopold, 1957).…”

Section: Background and Aims Of Researchmentioning

confidence: 99%

Downstream hydraulic geometry relationships: Gathering reference reach-scale width values from LiDAR

et al. 2015

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Response of reach-scale bankfull channel geometry to the altered flow and sediment regime in the lower Yellow River

Cited by 81 publications

References 26 publications

A framework approach for unravelling the impact of multiple factors influencing flooding

A framework approach for unravelling the impact of multiple factors influencing flooding

Effect of human‐controlled hydrological regime on the source, transport, and flux of particulate organic carbon from the lower Huanghe (Yellow River)

Downstream hydraulic geometry relationships: Gathering reference reach-scale width values from LiDAR

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