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Evaluating Runoff-Sediment Relationship Variations Using Generalized Additive Models That Incorporate Reservoir Indices for Check Dams

Author

Listed:
  • Lingqi Li

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

  • Kai Wu

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

  • Enhui Jiang

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

  • Huijuan Yin

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

  • Yuanjian Wang

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

  • Shimin Tian

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

  • Suzhen Dang

    (Yellow River Institute of Hydraulic Research
    Henan Key Laboratory of YB Ecological Protection and Restoration)

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.

Suggested Citation

  • Lingqi Li & Kai Wu & Enhui Jiang & Huijuan Yin & Yuanjian Wang & Shimin Tian & Suzhen Dang, 2021. "Evaluating Runoff-Sediment Relationship Variations Using Generalized Additive Models That Incorporate Reservoir Indices for Check Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3845-3860, September.
  • Handle: RePEc:spr:waterr:v:35:y:2021:i:11:d:10.1007_s11269-021-02928-x
    DOI: 10.1007/s11269-021-02928-x
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    References listed on IDEAS

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    1. Julio Cesar Neves Santos & Eunice Maia Andrade & Pedro Henrique Augusto Medeiros & Maria João Simas Guerreiro & Helba Araújo Queiroz Palácio, 2017. "Effect of Rainfall Characteristics on Runoff and Water Erosion for Different Land Uses in a Tropical Semiarid Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 173-185, January.
    2. Simon N. Wood & Yannig Goude & Simon Shaw, 2015. "Generalized additive models for large data sets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 64(1), pages 139-155, January.
    3. Negar Tayebzadeh Moghadam & Karim C. Abbaspour & Bahram Malekmohammadi & Mario Schirmer & Ahmad Reza Yavari, 2021. "Spatiotemporal Modelling of Water Balance Components in Response to Climate and Landuse Changes in a Heterogeneous Mountainous Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 793-810, February.
    4. Ali Ahani & Mojtaba Shourian & Peiman Rahimi Rad, 2018. "Performance Assessment of the Linear, Nonlinear and Nonparametric Data Driven Models in River Flow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 383-399, January.
    5. Zhaohong Feng & Zhanbin Li & Peng Shi & Peng Li & Tian Wang & Jinxiao Duan, 2021. "Impact of sedimentation by check dam on the hydrodynamics in the channel on the Loess Plateau of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 953-969, May.
    6. A. N. Pettitt, 1979. "A Non‐Parametric Approach to the Change‐Point Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(2), pages 126-135, June.
    7. Tian Wang & Jingming Hou & Peng Li & Jiaheng Zhao & Zhanbin Li & Elena Matta & Liping Ma & Reinhard Hinkelmann, 2021. "Quantitative assessment of check dam system impacts on catchment flood characteristics – a case in hilly and gully area of the Loess Plateau, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 3059-3077, February.
    8. Ashish Kumar & Pravendra Kumar & Vijay Kumar Singh, 2019. "Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1217-1231, February.
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    Cited by:

    1. Avay Risal & Prem B. Parajuli, 2022. "Evaluation of the Impact of Best Management Practices on Streamflow, Sediment and Nutrient Yield at Field and Watershed Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 1093-1105, February.

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