IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v34y2020i9d10.1007_s11269-020-02594-5.html
   My bibliography  Save this article

Transferability of a Conceptual Hydrological Model across Different Temporal Scales and Basin Sizes

Author

Listed:
  • Sheng Sheng

    (Wuhan University)

  • Hua Chen

    (Wuhan University)

  • Fu-Qiang Guo

    (Fujian Shuikou Power Generation Group Co., LTD)

  • Jie Chen

    (Wuhan University)

  • Chong-Yu Xu

    (University of Oslo)

  • Sheng-lian Guo

    (Wuhan University)

Abstract

Practical application of hydrological models requires parameter transfer, both temporally and spatially, to compensate for the lack of data. In this study, the transferability of parameters is evaluated using a lumped hydrological model called the Xinanjiang model to simulate runoff at different spatiotemporal scales in the Jianxi basin in south-east China and its four sub-basins. The functional relationships are built based on the posterior distribution derived by the Differential Evolution Adaptive Metropolis (DREAM) algorithm. The results show that (1) the sensitivity of parameters KE, SM, KI and KG shows obvious temporal characteristics, and the sensitivity of NK and CG shows strong spatial characteristics; (2) most relationships between sensitive parameters and scales are remarkable with goodness-of-fit coefficient higher than 0.9, which has been verified to achieve good performance in the temporal and spatial transfer; (3) the spatial transferability of the model is greatly influenced by the difference between the basin sizes; and (4) those parameters with strong spatial characteristics, such as NK and CG, show obvious impacts on the performance and uncertainty of the model transferred from the larger/smaller to smaller/larger basins.

Suggested Citation

  • Sheng Sheng & Hua Chen & Fu-Qiang Guo & Jie Chen & Chong-Yu Xu & Sheng-lian Guo, 2020. "Transferability of a Conceptual Hydrological Model across Different Temporal Scales and Basin Sizes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2953-2968, July.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:9:d:10.1007_s11269-020-02594-5
    DOI: 10.1007/s11269-020-02594-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02594-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-020-02594-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhangjun Liu & Shenglian Guo & Honggang Zhang & Dedi Liu & Guang Yang, 2016. "Comparative Study of Three Updating Procedures for Real-Time Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2111-2126, May.
    2. Meng-Xuan Jie & Hua Chen & Chong-Yu Xu & Qiang Zeng & Jie Chen & Jong-Suk Kim & Sheng-lian Guo & Fu-Qiang Guo, 2018. "Transferability of Conceptual Hydrological Models Across Temporal Resolutions: Approach and Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1367-1381, March.
    3. Ye Tian & Yue-Ping Xu & Xu-Jie Zhang, 2013. "Assessment of Climate Change Impacts on River High Flows through Comparative Use of GR4J, HBV and Xinanjiang Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2871-2888, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shuai Zhou & Yimin Wang & Ziyan Li & Jianxia Chang & Aijun Guo, 2021. "Quantifying the Uncertainty Interaction Between the Model Input and Structure on Hydrological Processes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 3915-3935, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adam P. Piotrowski & Jaroslaw J. Napiorkowski & Marzena Osuch, 2019. "Relationship Between Calibration Time and Final Performance of Conceptual Rainfall-Runoff Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 19-37, January.
    2. Wei Li & Jianzhong Zhou & Huaiwei Sun & Kuaile Feng & Hairong Zhang & Muhammad Tayyab, 2017. "Impact of Distribution Type in Bayes Probability Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 961-977, February.
    3. Isabel Kaufmann Almeida & Aleska Kaufmann Almeida & Jorge Luiz Steffen & Teodorico Alves Sobrinho, 2016. "Model for Estimating the Time of Concentration in Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4083-4096, September.
    4. Hong Li & Chong-Yu Xu & Stein Beldring & Lena Merete Tallaksen & Sharad K. Jain, 2016. "Water Resources Under Climate Change in Himalayan Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 843-859, January.
    5. David Werth & Kuo-Fu Chen, 2015. "The Application of a Statistical Downscaling Process to Derive 21st Century River Flow Predictions Using a Global Climate Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 849-861, February.
    6. Mustafa Turan & Mehmet Yurdusev, 2016. "Fuzzy Conceptual Hydrological Model for Water Flow Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 653-667, January.
    7. Adam P. Piotrowski & Marzena Osuch & Jarosław J. Napiorkowski, 2019. "Joint Optimization of Conceptual Rainfall-Runoff Model Parameters and Weights Attributed to Meteorological Stations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4509-4524, October.
    8. Shenlin Li & Xiaohong Chen & Vijay P. Singh & Yanhu He, 2018. "Assumption-Simulation-Feedback-Adjustment (ASFA) Framework for Real-Time Correction of Water Resources Allocation: a Case Study of Longgang River Basin in Southern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3871-3886, September.
    9. Tianxin Li & Yuxin Duan & Shanbo Guo & Linglong Meng & Matomela Nametso, 2020. "Study on Applicability of Distributed Hydrological Model under Different Terrain Conditions," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    10. Juliano Santos Finck & Olavo Correa Pedrollo, 2021. "Facing Losses of Telemetric Signal in Real Time Forecasting of Water Level using Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 1119-1133, February.
    11. Jiazheng Lu & Jun Guo & Li Yang & Xunjian Xu, 2017. "Research of reservoir watershed fine zoning and flood forecasting method," 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. 89(3), pages 1291-1306, December.
    12. Yan Zhou & Zhongmin Liang & Binquan Li & Yixin Huang & Kai Wang & Yiming Hu, 2021. "Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    13. Pao-Shan Yu & Tao-Chang Yang & Chen-Min Kuo & Yi-Tai Wang, 2014. "A Stochastic Approach for Seasonal Water-Shortage Probability Forecasting Based on Seasonal Weather Outlook," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3905-3920, September.
    14. Moon-Hwan Lee & Deg-Hyo Bae & Eun-Soon Im, 2019. "Effect of the Horizontal Resolution of Climate Simulations on the Hydrological Representation of Extreme Low and High Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4653-4666, October.
    15. Hadush Meresa & Yongqiang Zhang, 2021. "Contrasting Uncertainties in Estimating Floods and Low Flow Extremes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1775-1795, April.
    16. Kai Duan & Yadong Mei, 2014. "Comparison of Meteorological, Hydrological and Agricultural Drought Responses to Climate Change and Uncertainty Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5039-5054, November.
    17. Jiang Wu & Jianzhong Zhou & Lu Chen & Lei Ye, 2015. "Coupling Forecast Methods of Multiple Rainfall–Runoff Models for Improving the Precision of Hydrological Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5091-5108, November.
    18. Hong Li & Chong-Yu Xu & Stein Beldring & Lena Tallaksen & Sharad Jain, 2016. "Water Resources Under Climate Change in Himalayan Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 843-859, January.
    19. Mustafa Erkan Turan & Mehmet Ali Yurdusev, 2016. "Fuzzy Conceptual Hydrological Model for Water Flow Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 653-667, January.
    20. Zhangjun Liu & Jingwen Zhang & Tianfu Wen & Jingqing Cheng, 2022. "Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 4981-4993, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:34:y:2020:i:9:d:10.1007_s11269-020-02594-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.