Changes in streamflow and sediment for a planned large reservoir in the middle Yellow River

Li, Binquan; Liang, Zhongmin; Bao, Zhenxin; Wang, Jun; Hu, Yiming

doi:10.1002/ldr.3274

Cited by 22 publications

(20 citation statements)

References 29 publications

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“…However, most researchers focus on the contributions of the whole underlying surface to run‐off reduction; thus, the contributions of every soil and water conservation measure to run‐off reduction remain uncertain (Gao et al, ; Gu, Mu, Gao, Zhao, & Sun, ; Li et al, ; Liang et al, ). Certain studies have evaluated the hydrological responses to only one measure, such as reservoir construction or land use change caused by vegetation restoration, in only one watershed (Li, Liang, Bao, Wang, & Hu, ; Yang et al, ; Yang & Lu, ). More evidence is needed to better understand how each measure and climate change impact run‐off.…”

Section: Introductionmentioning

confidence: 99%

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Yang

Sun

et al. 2020

Hydrological Processes

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A rapid reduction in run-off has been observed in the middle reaches of the Yellow River basin in recent decades. Understanding the contributions of climate change and human activities, such as vegetation restoration and water consumption, to surface water resource reduction has become urgent and very important for future regional planning. Here, we use attribution approaches to explore the effects of climate change and human activities on run-off over the past six decades. The results showed that the observed annual run-off at Tongguan station, which is located within the mainstream of the Yellow River, exhibited a significant decreasing trend of −0.69 mm year −1 (p < .01) and varied from −0.28 to −1.46 mm year −1 (p < .01) in the eight selected tributaries from 1960 to 2015. Two relatively abrupt changes in the double mass curves occurred around 1979 and 1999; compared with Period 1 (P1; 1960-1979), the average catchment run-off decreased 32% during Period 2 (P2 ; 1980-1999) and up to 49% during Period 3 (P3;. We calculated that approximately 29% of the reduction in the run-off during P2 and 18% during P3 were attributed to climate change. Increased surface water consumption resulted in effective run-off reduction, with relative contributions of approximately 27% and 28% during P2 and P3, respectively. With the implementation of the "Grain-for-Green" project, the vegetation coverage rapidly increased from 36% in P1 to 52% in P3 and reduced run-off by 35% during P3. These findings explain the run-off reduction and benefit water resource management in the middle reaches of the Yellow River basin.

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Section: Introductionmentioning

confidence: 99%

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Yang

Sun

et al. 2020

Hydrological Processes

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“…These warping dams were particularly prone to damage during future operations (especially under heavy rainstorm conditions). Besides, on average, the backbone and small/medium warping dams in the middle reaches of the Yellow River have an operational life of approximately 31 and 14 years, respectively [17,28]. Therefore, the warping dams built in the 1970s and before were basically silted up in the 2010s.…”

Section: Study Basin and Datamentioning

confidence: 99%

“…The Loess Plateau is a typical region with the implementation of SWC measures, which have eased soil erosion and reduced sediment concentrations in rivers [12][13][14]. However, climate variability is also very important and sometimes dominate contribution to hydrological regime changes in some basins [15,16] and some periods [17]. It is, therefore, useful to attribute changes in streamflow and sediment to either human impacts or climate changes.…”

Section: Introductionmentioning

confidence: 99%

Streamflow and Sediment Declines in a Loess Hill and Gully Landform Basin Due to Climate Variability and Anthropogenic Activities

Chang

Zhang

et al. 2019

Water

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Streamflow and sediment runoff are important indicators for the changes in hydrological processes. In the context of environmental changes, decreases in both streamflow and sediment (especially in the flood season) are often observed in most of the tributaries of the middle Yellow River in China’s Loess Plateau. Understanding the effect of human activities could be useful for the management of soil and water conservation (SWC) and new constructions. In this paper, changes in streamflow and sediment during the flood season (June–September) of the 1966–2017 period in a typical loess hill and gully landform basin were analyzed. Basin-wide rainfall of the flood season decreased nonsignificantly with an average rate of −0.6 mm/flood season for the whole study period by using the trend-free pre-whitening based Mann–Kendall trend test, while the decreasing rate was weakened on the time scale. A remarkable warming trend (1985–1999) and two decreasing trends (1966–1984 and 2000–2017) were observed, and the overall increasing trend could be found in air temperature series with a rate of 0.01 °C/flood season during the study period. Statistical models were developed to describe the rainfall-runoff and rainfall-sediment processes in the pre-impact period (when the hydrological series was stationary). Furthermore, the relative effects of climate variability and human activities on hydrological changes were quantified. Results proved the dominant role of human activities (versus climate variability) on the reductions of both streamflow and sediment load. The relative contribution of human activities to streamflow decrease was 84.6% during the post-impact period 1995–2017, while the contributions were 48.8% and 80.1% for two post-impact periods (1982–1996 and 1997–2017), respectively, to the reduction of sediment load. Besides, the effect of the exclusion of anomalous streamflow or sediment events on change-point detection was also analyzed. It indicated that the anomalous events affect the detection of change points and should be given full consideration in order to decide whether to remove them in the change-point detection. Otherwise, the full series with anomalous samples will completely affect the attribution results of hydrological changes. We also suggest that large-scale SWC measures with different construction quality and operational life could intercept and relieve most floods and high sediment concentration processes, but may amplify the peaks of streamflow and sediment when the interception capacities are exceeded under the condition of extreme rainstorm events.

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“…The lack of vegetation in these catchments leads to severe soil erosion, and the average sediment concentration reaches 126 kg m −3 according to Li et al (2019). Some hydrologists have studied daily and monthly rainfall runoff, although few studies have modeled hourly floods.…”

Section: Study Area and Datamentioning

confidence: 99%

“…The 14 parameters (Table 2) of the VMM were calibrated using the Shuffled Complex Evolution (SCE-UA) global optimization algorithm (Duan et al, 1993). The ranges of parameters were determined based on previous literature and prior knowledge (Bao and Zhao, 2014;Li et al, 2018). Due to the rapid rise and fall of floods (usually less than 24 h) in semiarid catchments, accurate simulations of the full hydrograph are not needed and cannot be achieved.…”

Section: Model Calibrationmentioning

confidence: 99%

Multicriteria assessment framework of flood events simulated with vertically mixed runoff model in semiarid catchments in the middle Yellow River

Liang

Zhou

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Flood forecasting in semiarid regions is always poor, and a single-criterion assessment provides limited information for decision making. Here, we propose a multicriteria assessment framework called flood classificationreliability assessment (FCRA) that combines the absolute relative error, flow classification and uncertainty interval estimated by the hydrologic uncertainty processor (HUP) to assess the most striking feature of an event-based flood: the peak flow. A total of 100 flood events in four catchments of the middle reaches of the Yellow River are modeled with hydrological models over the period of 1983-2009. The vertically mixed runoff model (VMM) is compared with one physically based model, the MIKE SHE model (originating from the Système Hydrologique Européen program), and two conceptual models, the Xinanjiang model (XAJ) and the Shanbei model (SBM). Our results show that the VMM has a better flood estimation performance than the other models, and the FCRA framework can provide reasonable flood classification and reliability assessment information, which may help decision makers improve their diagnostic abilities in the early flood warning process.

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Changes in streamflow and sediment for a planned large reservoir in the middle Yellow River

Cited by 22 publications

References 29 publications

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Streamflow and Sediment Declines in a Loess Hill and Gully Landform Basin Due to Climate Variability and Anthropogenic Activities

Multicriteria assessment framework of flood events simulated with vertically mixed runoff model in semiarid catchments in the middle Yellow River

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