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

Li, Dayang; Liang, Zhongmin; Zhou, Yan; Li, Binquan; Fu, Yupeng

doi:10.5194/nhess-19-2027-2019

Cited by 13 publications

(8 citation statements)

References 51 publications

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“…The three-source runoff partition method adopted in Strategy P4 has been widely used in the XAJ hydrological model [36,43,44]. Unlike the flexible hybrid runoff generation model used in this study, the XAJ model operates based on the saturation-excess runoff generation mechanism, resulting in surface runoff when there is no available soil moisture storage [45]. This is significantly different from the constructed flexible hybrid runoff generation model used in this study, in which the surface runoff occurs when the precipitation rate exceeds the saturated hydraulic conductivity of the surface soil [2].…”

Section: Discussion On Model Performance and Applicabilitymentioning

confidence: 99%

Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction

Yi,

Chen,

Yang

et al. 2023

Water

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The partition of surface runoff and infiltration is crucial in hydrologic modeling. To improve the flood prediction, we designed four strategies to explore the influences of the runoff partition method on the flexible hybrid runoff generation model. The runoff partition strategies consist of a hydrological model without the runoff partition module, a two-source runoff partition method, an improved two-source runoff partition method considering the heterogeneity of the subsurface topography and land cover, and a three-source runoff partition method. The Xin’anjiang hydrological model was used as the modeling framework to simulate a six-hourly stream flow for the Xun River watershed in Shaanxi Province, China. And the saturation-excess runoff generation and infiltration-excess runoff generation mechanisms were combined to construct the flexible hybrid runoff generation model. The performances of the four strategies were compared and analyzed based on the continuous flow discharge as well as the flood events. The runoff components analysis method was used to test the model’s conformity with the reality of the watershed. The results showed that the three-source runoff partition method was not applicable to the flexible hybrid runoff generation model because it overestimated the surface runoff and almost ignored the subsurface stormflow runoff. The improved two-source runoff partition method outperformed the others as it considered the heterogeneity of the watershed.

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Section: Discussion On Model Performance and Applicabilitymentioning

confidence: 99%

Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction

Yi,

Chen,

Yang

et al. 2023

Water

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“…The statistical models, Equations (4), (5), and (6), were established and tested with the data in the pre-impact periods (excluding the anomalous data points). Figure 7 shows the calibrated parameters, observed and calculated flood season's runoff/sediment series, the changes of runoff/sediment, and their separated contributions of climate variability and human activities.…”

Section: Attribution Of Streamflow and Sediment Declinesmentioning

confidence: 99%

“…Environmental changes caused by climate variability and anthropogenic activities affect the hydrological processes, with two important indicators of changes in streamflow and sediment runoff [1][2][3][4][5]. In most of the watersheds in North China, water resource availability is low because the water demand in arid areas is far greater than the amount of water available [6][7][8][9][10].…”

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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“…Among various types of rainfall-runoff models, conceptual models are widely used due to their simple structure and few data requirements [5][6][7][8][9]. Rainfall, as one of the key inputs to conceptual rainfall-runoff models, is extremely vital to the accuracy of the model outputs [10][11][12][13][14][15]. Nowadays, rain gauges are the most traditional and direct way to obtain reliable rainfall data at a fine temporal resolution.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the mixed runoff that couples both infiltration excess and saturation excess mechanisms needs to be studied [46,[48][49][50]. For this purpose, the vertically mixed runoff (VMR) model was developed by [48,51] and has been successfully applied to several catchments in China [13,38,46]. The VMR model assumes that the two runoff generation mechanisms exist simultaneously in the vertical direction at the same time where the Horton runoff occurs when rainfall intensity is greater than the infiltration capacity, and the Dunne runoff occurs when the soil moisture capacity is satisfied [52].…”

Section: Introductionmentioning

confidence: 99%

Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model

Zhou

Liang

et al. 2021

Sustainability

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Rainfall is an important input to conceptual hydrological models, and its accuracy would have a considerable effect on that of the model simulations. However, traditional conceptual rainfall-runoff models commonly use catchment-average rainfall as inputs without recognizing its spatial variability. To solve this, a seamless integration framework that couples rainfall spatial variability with a conceptual rainfall-runoff model, named the statistical rainfall-runoff (SRR) model, is built in this study. In the SRR model, the exponential difference distribution (EDD) is proposed to describe the spatial variability of rainfall for traditional rain gauging stations. The EDD is then incorporated into the vertically mixed runoff (VMR) model to estimate the statistical runoff component. Then, the stochastic differential equation is adopted to deal with the flow routing under stochastic inflow. To test the performance, the SRR model is then calibrated and validated in a Chinese catchment. The results indicate that the EDD performs well in describing rainfall spatial variability, and that the SRR model is superior to the Xinanjiang model because it provides more accurate mean simulations. The seamless integration framework considering rainfall spatial variability can help build a more reasonable statistical rainfall-runoff model.

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

Cited by 13 publications

References 51 publications

Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction

Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction

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

Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model

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