IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p9267-d874723.html
   My bibliography  Save this article

Investigating Historical Baseflow Characteristics and Variations in the Upper Yellow River Basin, China

Author

Listed:
  • Guizhang Zhao

    (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China
    Collaborative Innovation Center for Efficient Utilization of Water Resources, 136 East Jinshui Road, Zhengzhou 450046, China)

  • Lingying Kong

    (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China)

  • Yunliang Li

    (Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China)

  • Yuanzhi Xu

    (Water Resources Research Institute of Shandong Province, 125 Lishan Road, Jinan 250014, China)

  • Zhiping Li

    (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China)

Abstract

The baseflow of the Yellow River is vital and important for water resource management and for understanding the hydrological cycle and ecohydrology setting in this arid and semi-arid basin. This study uses a Lyne and Hollick digital filtering technique to investigate the behaviors of the baseflow and the baseflow index in the upper reaches of the Yellow River Basin (China). The observed streamflow discharges along the river were used to analyze the baseflow trend, persistence, and periodic characteristics during the period of 1950–2000. The results show that the average baseflow and BFI in the upper reaches of the Yellow River exhibit a decreasing trend and will continue to decline in the future. Generally, the annual average baseflow and BFI for the most upstream areas of the Yellow River show little difference, while the baseflow and BFI exhibit significant differences for the downstream areas. The filtered annual baseflow varied between 128 × 10 8 m 3 /year and 193 × 10 8 m 3 /year for the Yellow River. The BFI ranged from 0.54 to 0.65, with an average of 0.60. This indicates that on average, 60% of the long-term streamflow is likely controlled by groundwater discharge and shallow subsurface flow. Statistics show that two periodic variations were observed in the baseflow evolution process. The results indicate that on average, the first and second main cycles of baseflow behaviors occur at 28 years and 12–17 years, respectively. Correspondingly, the estimation indicates that the abrupt change points tend to appear in the 1960s, the 1980s, and the 1990s. An improved understanding of baseflow behaviors can help guide future strategies to manage the river regime, its water resources, and water quality.

Suggested Citation

  • Guizhang Zhao & Lingying Kong & Yunliang Li & Yuanzhi Xu & Zhiping Li, 2022. "Investigating Historical Baseflow Characteristics and Variations in the Upper Yellow River Basin, China," IJERPH, MDPI, vol. 19(15), pages 1-13, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9267-:d:874723
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/9267/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/15/9267/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Kang & Xie, Xianhong & Zhu, Bowen & Meng, Shanshan & Yao, Yi, 2019. "Unexpected groundwater recovery with decreasing agricultural irrigation in the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 213(C), pages 858-867.
    2. Luping Shi & Zhongyao Cai & Xuhui Ding & Rong Di & Qianqian Xiao, 2020. "What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    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. Zhiqiang Liu & Shengwei Zhang & Wenjie Fan & Lei Huang & Xiaojing Zhang & Meng Luo & Shuai Wang & Lin Yang, 2024. "Associations between Surface Deformation and Groundwater Storage in Different Landscape Areas of the Loess Plateau, China," Land, MDPI, vol. 13(2), pages 1-22, February.

    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. Zhengyun Jiang & Yun Feng & Jinping Song & Chengzhen Song & Xiaodi Zhao & Chi Zhang, 2023. "Study on the Spatial–Temporal Pattern Evolution and Carbon Emission Reduction Effect of Industry–City Integration in the Yellow River Basin," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Kui Liu & Jian Wang & Xiang Kang & Jingming Liu & Zheyi Xia & Kai Du & Xuexin Zhu, 2022. "Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China," Land, MDPI, vol. 11(2), pages 1-20, February.
    3. Chuanxin Xia & Yu Zhao & Qingxia Zhao & Shuo Wang & Ning Zhang, 2022. "Exact Eco-Efficiency Measurement in the Yellow River Basin: A New Non-Parametric Approach," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    4. Meirui Li & Baolei Zhang & Xiaobo Zhang & Shumin Zhang & Le Yin, 2023. "Exploring Spatio-Temporal Variations of Ecological Risk in the Yellow River Ecological Economic Belt Based on an Improved Landscape Index Method," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    5. Jingxu Wang & Shike Qiu & Jun Du & Shengwang Meng & Chao Wang & Fei Teng & Yangyang Liu, 2022. "Spatial and Temporal Changes of Urban Built-Up Area in the Yellow River Basin from Nighttime Light Data," Land, MDPI, vol. 11(7), pages 1-14, July.
    6. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Identifying the status of groundwater drought from a GRACE mascon model perspective across China during 2003–2018," Agricultural Water Management, Elsevier, vol. 260(C).
    7. Aijun Guo & Yongnian Zhang & Fanglei Zhong & Daiwei Jiang, 2020. "Spatiotemporal Patterns of Ecosystem Service Value Changes and Their Coordination with Economic Development: A Case Study of the Yellow River Basin, China," IJERPH, MDPI, vol. 17(22), pages 1-17, November.
    8. Anzhen Qin & Dongfeng Ning & Zhandong Liu & Sen Li & Ben Zhao & Aiwang Duan, 2022. "Impacts of Irrigation Time and Well Depths on Farmers’ Costs and Benefits in Maize Production," Agriculture, MDPI, vol. 12(4), pages 1-15, March.
    9. Mengtian Zhang & Huiling Wang, 2023. "Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China," Land, MDPI, vol. 12(7), pages 1-21, June.
    10. Xiaofang Sun & Guicai Li & Junbang Wang & Meng Wang, 2021. "Quantifying the Land Use and Land Cover Changes in the Yellow River Basin while Accounting for Data Errors Based on GlobeLand30 Maps," Land, MDPI, vol. 10(1), pages 1-18, January.
    11. Yu Zhang & Wenliang Geng & Pengyan Zhang & Erling Li & Tianqi Rong & Ying Liu & Jingwen Shao & Hao Chang, 2020. "Dynamic Changes, Spatiotemporal Differences and Factors Influencing the Urban Eco-Efficiency in the Lower Reaches of the Yellow River," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
    12. Decai Tang & Hui Zhong & Jingyi Zhang & Yongguang Dai & Valentina Boamah, 2022. "The Effect of Green Finance on the Ecological and Environmental Quality of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    13. Zhibao Wang & Guangzhi Qi, 2022. "Demographic Transition in Natural Watersheds: Evidence from Population Aging in the Yellow River Basin Based on Various Types of Migration," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    14. Sui, Bo & Sharma, Susan Sunila & Yao, Liu-Yang & Ni, Guo-Hua & Chang, Chun-Ping, 2024. "Does aging affect renewable energy? The role of extreme events and economic development," Energy Economics, Elsevier, vol. 133(C).
    15. Yang, Qi-Cheng & Zheng, Mingbo & Chang, Chun-Ping, 2022. "Energy policy and green innovation: A quantile investigation into renewable energy," Renewable Energy, Elsevier, vol. 189(C), pages 1166-1175.

    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:jijerp:v:19:y:2022:i:15:p:9267-:d:874723. 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.