IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i12p5001-d1413135.html
   My bibliography  Save this article

Flash Flood Simulation for Hilly Reservoirs Considering Upstream Reservoirs—A Case Study of Moushan Reservoir

Author

Listed:
  • Huaqing Zhao

    (School of Civil Engineering, Shandong University, Jinan 250061, China)

  • Hao Wang

    (Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Yuxuan Zhang

    (Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Ranhang Zhao

    (School of Civil Engineering, Shandong University, Jinan 250061, China)

  • Zhen Qi

    (School of Civil Engineering, Shandong University, Jinan 250061, China)

  • Haodong Zhang

    (School of Civil Engineering, Shandong University, Jinan 250061, China)

Abstract

With the advancement of society and the impact of various factors such as climate change, surface conditions, and human activities, there has been a significant increase in the frequency of extreme rainfall events, leading to substantial losses from flood disasters. The presence of numerous small and medium-sized water conservancy projects in the basin plays a crucial role in influencing runoff production and rainwater confluence. However, due to the lack of extensive historical hydrological data for simulation purposes, it is challenging to accurately predict floods in the basin. Therefore, there is a growing emphasis on flood simulation and forecasting that takes into account the influence of upstream water projects. Moushan Reservoir basin is located in a hilly area of an arid and semi-arid region in the north of China. Flooding has the characteristics of sudden strong, short confluence time, steep rise, and steep fall, especially floods caused by extreme weather events, which have a high frequency and a wide range of hazards, and has become one of the most threatening natural disasters to human life and property safety. There are many small and medium-sized reservoirs in this basin, which have a significant influence on the accuracy of flood prediction. Therefore, taking Moushan Reservoir as an example, this paper puts forward a flash flood simulation method for reservoirs in hilly areas, considering upstream reservoirs, which can better solve the problem of flood simulation accuracy. Using the virtual aggregation method, the 3 medium-sized reservoirs and 93 small upstream reservoirs are summarized into 7 aggregated reservoirs. Then, we construct the hydrological model combining two method sets with different runoff generation and confluence mechanisms. Finally, after model calibration and verification, the results of different methods are analyzed in terms of peak discharge error, runoff depth error, difference in peak time, and certainty coefficient. The results indicate that the flooding processes simulated by the proposed model are in line with the observed ones. The errors of flood peak and runoff depth are in the ranges of 2.3% to 15% and 0.1% to 19.6%, respectively, meeting the requirements of Class B accuracy of the “Water Forecast Code”. Method set 1 demonstrates a better simulation of floods with an average flood peak error of 5.63%. All these findings illustrate that the developed model, utilizing aggregate reservoirs and dynamic parameters to reflect regulation and storage functions, can effectively capture the impact of small water conservancy projects on confluence. This approach addresses challenges in simulating floods caused by small and medium-sized reservoirs, facilitating basin-wide flood prediction.

Suggested Citation

  • Huaqing Zhao & Hao Wang & Yuxuan Zhang & Ranhang Zhao & Zhen Qi & Haodong Zhang, 2024. "Flash Flood Simulation for Hilly Reservoirs Considering Upstream Reservoirs—A Case Study of Moushan Reservoir," Sustainability, MDPI, vol. 16(12), pages 1-23, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5001-:d:1413135
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/12/5001/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/12/5001/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaodi Fu & Xiaoyan He & Liuqian Ding, 2023. "Stochastic Flood Simulation Method Combining Flood Intensity and Morphological Indicators," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    2. Yong Peng & Xinguo Sun & Xiaoli Zhang & Huicheng Zhou & Zixin Zhang, 2017. "A Flood Forecasting Model that Considers the Impact of Hydraulic Projects by the Simulations of the Aggregate reservoir’s Retaining and Discharging," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 1031-1045, February.
    3. Wen-chuan Wang & Wei-can Tian & Dong-mei Xu & Kwok-wing Chau & Qiang Ma & Chang-jun Liu, 2023. "Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3129-3150, June.
    4. Chengpeng Lu & Keyan Ji & Wanjie Wang & Yong Zhang & Tema Koketso Ealotswe & Wei Qin & Jiayun Lu & Bo Liu & Longcang Shu, 2021. "Estimation of the Interaction Between Groundwater and Surface Water Based on Flow Routing Using an Improved Nonlinear Muskingum-Cunge Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2649-2666, June.
    5. Matthew Deitch & Adina Merenlender & Shane Feirer, 2013. "Cumulative Effects of Small Reservoirs on Streamflow in Northern Coastal California Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5101-5118, December.
    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. 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.
    2. Wen-chuan Wang & Wei-can Tian & Dong-mei Xu & Kwok-wing Chau & Qiang Ma & Chang-jun Liu, 2023. "Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3129-3150, June.
    3. Yong Peng & Xinguo Sun & Xiaoli Zhang & Huicheng Zhou & Zixin Zhang, 2017. "A Flood Forecasting Model that Considers the Impact of Hydraulic Projects by the Simulations of the Aggregate reservoir’s Retaining and Discharging," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 1031-1045, February.
    4. James Stoutenborough & Arnold Vedlitz, 2014. "Public Attitudes Toward Water Management and Drought in the United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 697-714, February.
    5. Udinart Prata Rabelo & Alexandre C. Costa & Jörg Dietrich & Elahe Fallah-Mehdipour & Pieter Van Oel & Iran Eduardo Lima Neto, 2022. "Impact of Dense Networks of Reservoirs on Streamflows at Dryland Catchments," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    6. Raaghul Kumar & Munshi Md. Shafwat Yazdan, 2022. "Evaluating Preventive Measures for Flooding from Groundwater: A Case Study," J, MDPI, vol. 6(1), pages 1-16, December.
    7. Xinyu Wan & Lijuan Hua & Shutan Yang & Hoshin V. Gupta & Ping’an Zhong, 2018. "Evaluating the Impacts of a Large-Scale Multi-Reservoir System on Flooding: Case of the Huai River in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1013-1033, February.
    8. Yiming Wei & Zengchuan Dong, 2021. "Application of a Novel Jaya Algorithm Based on Chaotic Sequence and Opposition-based Learning in the Multi-objective Optimal Operation of Cascade Hydropower Stations System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1397-1413, March.
    9. Fields, Christopher M. & Labadie, John W. & Rohmat, Faizal I.W. & Johnson, Lynn E., 2021. "Geospatial decision support system for ameliorating adverse impacts of irrigated agriculture on aquatic ecosystems," Agricultural Water Management, Elsevier, vol. 252(C).
    10. Zekâi Şen, 2021. "Reservoirs for Water Supply Under Climate Change Impact—A Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3827-3843, September.
    11. Hang Zeng & Ping Feng & Xin Li, 2014. "Reservoir Flood Routing Considering the Non-Stationarity of Flood Series in North China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4273-4287, September.

    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:16:y:2024:i:12:p:5001-:d:1413135. 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.