IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p6175-d1115264.html
   My bibliography  Save this article

Calibration and Evaluation of the WRF-Hydro Model in Simulating the Streamflow over the Arid Regions of Northwest China: A Case Study in Kaidu River Basin

Author

Listed:
  • Entao Yu

    (Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Xiaoyan Liu

    (Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    University of Chinese Academy of Sciences, Beijing 101408, China)

  • Jiawei Li

    (Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Hui Tao

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

Abstract

In this study, the hydrological system of the Weather Research and Forecasting model (WRF-Hydro) is applied to simulate the streamflow at the Kaidu River Basin, which is vital to the ecological system in the lower reaches of the Tarim River in Northwest China. The offline WRF-Hydro model is coupled with the Noah multi-parameterization land surface model (Noah-MP) and is forced by the China Meteorological Forcing Dataset (CMFD), with the grid spacing of the hydrological routing modules being 250 m. A 3-year period (1983–1985) is used for calibration and a 17-year period (1986–2002) for the evaluation. Several key parameters of WRF-Hydro and four Noah-MP parameterization options are calibrated, and the performance of WRF-Hydro with the optimized model setting is evaluated using the daily streamflow observations. The results indicate that WRF-Hydro can reproduce the observed streamflow reasonably, with underestimation of the streamflow peaks. The simulated streamflow is sensitive to the parameters of bexp, dksat, smcmax, REFKDT, slope, OVROUGHRTAC and mann in the Kaidu River Basin. At the same time, the parameterization options of Noah-MP also have a large influence on the streamflow simulation. The WRF-Hydro model with optimized model settings can achieve correlation coefficient ( CC ) and Nash efficiency coefficient ( NSE ) statistical scores of 0.78 and 0.61, respectively, for the calibration period. Meanwhile, for the evaluation period, the scores are 0.7 and 0.50, respectively. This study indicates the importance of applying the physical-based WRF-Hydro model over Northwest China and provides a reference for the nearby regions.

Suggested Citation

  • Entao Yu & Xiaoyan Liu & Jiawei Li & Hui Tao, 2023. "Calibration and Evaluation of the WRF-Hydro Model in Simulating the Streamflow over the Arid Regions of Northwest China: A Case Study in Kaidu River Basin," Sustainability, MDPI, vol. 15(7), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6175-:d:1115264
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/6175/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/7/6175/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun Xia & Like Ning & Quan Wang & Junxu Chen & Long Wan & Si Hong, 2017. "Vulnerability of and risk to water resources in arid and semi-arid regions of West China under a scenario of climate change," Climatic Change, Springer, vol. 144(3), pages 549-563, October.
    Full references (including those not matched with items on IDEAS)

    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. Huili Chen & Zhongyao Liang & Yong Liu & Qingsong Jiang & Shuguang Xie, 2018. "Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling," 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. 92(1), pages 525-541, May.
    2. Xiuping Yang & Dacheng Zhang & Qiqi Jia & Wentao Zhang & Tianyou Wang, 2019. "Exploring the Dynamic Coupling Relationship between Agricultural Economy and Agro-Ecological Environment in Semi-Arid Areas: A Case Study of Yulin, China," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    3. Zong-Liang Yang & Zhuguo Ma, 2017. "Foreword to the special issue: decadal scale drought in arid regions," Climatic Change, Springer, vol. 144(3), pages 389-390, October.
    4. Yongsheng Wang & Xiao Cui & Xinrong Zhang & Qi Wen, 2022. "Exploring the Sustainable Use Strategy of Scarce Water Resources for Rural Revitalization in Yanchi County from Arid Region of Northwest China," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    5. Lanzhen Wu & Chen Qian & Yilin Shen & Dongyuan Sun, 2023. "Assessment and Factor Diagnosis of Water Resource Vulnerability in Arid Inland River Basin: A Case Study of Shule River Basin, China," Sustainability, MDPI, vol. 15(11), pages 1-19, June.

    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:gam:jsusta:v:15:y:2023:i:7:p:6175-:d:1115264. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.