Evaluating Runoff-Sediment Relationship Variations Using Generalized Additive Models That Incorporate Reservoir Indices for Check Dams
Lingqi Li (),
Kai Wu (),
Enhui Jiang (),
Huijuan Yin (),
Yuanjian Wang (),
Shimin Tian () and
Suzhen Dang ()
Additional contact information
Lingqi Li: Yellow River Institute of Hydraulic Research
Kai Wu: Yellow River Institute of Hydraulic Research
Enhui Jiang: Yellow River Institute of Hydraulic Research
Huijuan Yin: Yellow River Institute of Hydraulic Research
Yuanjian Wang: Yellow River Institute of Hydraulic Research
Shimin Tian: Yellow River Institute of Hydraulic Research
Suzhen Dang: Yellow River Institute of Hydraulic Research
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 11, No 21, 3845-3860
Abstract:
Abstract The effects of check dam reservoirs on variations in hydrological regimes commonly result in nonlinear runoff-sediment relationships, which are difficult to describe using current reservoir indicators, particularly for watersheds where floods rise rapidly and huge sediment loads occur. In this study, the evolution of the runoff-sediment relationship was investigated through tests for tendencies and abrupt changes in the Xiliu Valley, a typical hyperconcentrated tributary of the Upper Yellow River on the Northern Loess Plateau, China. Generalized additive models (GAMs) were used to simulate runoff and sediment loads as smooth functions of significant physical covariates including reservoir indices. In comparison with the existing reservoir index (RI) and its additional version (ARI), a sediment-associated reservoir index (SARI) was developed to highlight the advantages of more information on reservoir capacities for both flood control and sediment deposition. The results showed significant downward trends in both annual runoff and sediment series. Alterations in runoff-sediment relationships appeared in approximately 1990, and were mostly dominated by the factors of short-duration storm floods and check dams. GAMs including the SARI exerted more negative effects on sediment yield than on runoff and outperformed the models embracing the RI or ARI. Accordingly, incorporation of the SARI could be advocated under changing environments that are mainly influenced by check dams.
Keywords: Runoff-sediment relationship; Reservoir indices for check dams; Generalized additive models (GAMs); Loess Plateau (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11269-021-02928-x
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