IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p15016-d971657.html
   My bibliography  Save this article

Modified Multi–Source Water Supply Module of the SWAT–WARM Model to Simulate Water Resource Responses under Strong Human Activities in the Tang–Bai River Basin

Author

Listed:
  • Mingzhi Yang

    (Hubei Key Laboratory of Water Resources & Eco−Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
    Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)

  • Jijun Xu

    (Hubei Key Laboratory of Water Resources & Eco−Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
    Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)

  • Dacong Yin

    (Hubei Key Laboratory of Water Resources & Eco−Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
    Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)

  • Shan He

    (Hubei Key Laboratory of Water Resources & Eco−Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
    Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)

  • Suge Zhu

    (Hubei Key Laboratory of Water Resources & Eco−Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
    Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)

  • Sinuo Li

    (Hubei Key Laboratory of Water Resources & Eco−Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
    Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)

Abstract

In the past few decades, the water resources in the Tang–Bai River Basin showed a declining trend, due to the human–driven alteration of surface water and groundwater management. There are potential risks to the sustainable utilization of future water resources in response to agricultural, industrial, and domestic water supply. In this work, we used the water allocation and regulation model based on SWAT (SWAT–WARM model) to quantify the characteristics of water resources response under human activities in this basin. The multi–source water supply module was modified to improve the applicability of the SWAT–WARM model in this basin. We validated our simulations against observed runoff, water consumption, and supply. The main results were as follows: (a) We used the percent bias, the correlation coefficient, and the Nash–Sutcliffe efficiency coefficient to measure the model validity and found that the modified model did not show obvious advantages in runoff simulations, whereas it reproduced water consumption and supply better than the original model. The modified model had more advantages in reflecting the process of water resources transformation and utilization in the basin driven by strong human activities. (b) By comparing the variation of watershed water circulation fluxes under natural and human disturbance conditions in the Tang–Bai River Basin from 1995 to 2016, we found that human activities increased evapotranspiration by 6.8% and surface runoff increased by 10.0%, while groundwater resources decreased by 0.23 million m3/yr. (c) There was water shortage in the basin at different flow frequencies, among which agricultural water shortage accounted for the largest proportion, >70%. The basin should further strengthen agricultural and industrial water saving, reduce water consumption fundamentally, and ensure the sustainable development of economy and society.

Suggested Citation

  • Mingzhi Yang & Jijun Xu & Dacong Yin & Shan He & Suge Zhu & Sinuo Li, 2022. "Modified Multi–Source Water Supply Module of the SWAT–WARM Model to Simulate Water Resource Responses under Strong Human Activities in the Tang–Bai River Basin," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15016-:d:971657
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/15016/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/22/15016/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Di & Cui, Yuanlai & Li, Dacheng & Chen, Manyu & Ye, Xugang & Fan, Guofu & Gong, Lanqiang, 2021. "Calculation framework for agricultural irrigation water consumption in multi-source irrigation systems," Agricultural Water Management, Elsevier, vol. 244(C).
    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. Sanjeet Kumar & Ashok Mishra & Umesh Kumar Singh, 2023. "Assessment of Land Cover Changes and Climate Variability Effects on Catchment Hydrology Using a Physically Distributed Model," Sustainability, MDPI, vol. 15(13), pages 1-15, June.

    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. Liu, Lianhua & Ouyang, Wei & Wang, Yidi & Lian, Zhongmin & Pan, Junting & Liu, Hongbin & Chen, Jingrui & Niu, Shiwei, 2023. "Paddy water managements for diffuse nitrogen and phosphorus pollution control in China: A comprehensive review and emerging prospects," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Wei, Jun & Cui, Yuanlai & Zhou, Sihang & Luo, Yufeng, 2022. "Regional water-saving potential calculation method for paddy rice based on remote sensing," Agricultural Water Management, Elsevier, vol. 267(C).

    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:14:y:2022:i:22:p:15016-:d:971657. 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.