IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v33y2019i13d10.1007_s11269-019-02374-w.html
   My bibliography  Save this article

Quantifying Flood Frequency Modification Caused by Multi-Reservoir Regulation

Author

Listed:
  • Yi-han Tang

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

  • Jie-feng Wu

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

  • Pei-yi Li

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

  • Li-juan Zhang

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

  • Xiao-hong Chen

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

  • Kai-rong Lin

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

Abstract

The construction and the operation of multi-reservoir has severely altered the downstream design flood. This paper quantified the flood frequency modifications caused by multi-reservoir regulation with recorded data and a numerical model composed of peaks-over-threshold (POT) samples and time-trend models. The whole research was carried out in Dongjiang River Basin, Southern China. Results showed that (1) Sampling with the POT method could eliminate fake changes in change detection and prevent the underestimation of the design floods with an exceeding probability over 90% and the overestimation of the design floods with an exceeding probability less than 80%; (2) Multi-reservoir regulation severely reduced design flood when the exceeding probability was greater than 1% and smaller than 95%. The 10-year floods were mitigated the most. However, when the exceeding probability was over 95%, the impact was insignificant; (3) Flood mitigation was positively correlated to the number of reservoirs, but negatively correlated to the distance between the affecting reservoir and the affected station. However, when multiple reservoirs took effect on the design flood in one station, the closest reservoir did not necessarily take the most effect. The results of this research will amplify the theoretical basis for flood protection and the planning of regulation.

Suggested Citation

  • Yi-han Tang & Jie-feng Wu & Pei-yi Li & Li-juan Zhang & Xiao-hong Chen & Kai-rong Lin, 2019. "Quantifying Flood Frequency Modification Caused by Multi-Reservoir Regulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4451-4470, October.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:13:d:10.1007_s11269-019-02374-w
    DOI: 10.1007/s11269-019-02374-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-019-02374-w
    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/s11269-019-02374-w?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. Xinjun Tu & Vijay Singh & Xiaohong Chen & Lu Chen & Qiang Zhang & Yong Zhao, 2015. "Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2677-2695, June.
    2. James Ming Chen, 2017. "Risk and Uncertainty," Quantitative Perspectives on Behavioral Economics and Finance, in: Econophysics and Capital Asset Pricing, chapter 0, pages 189-211, Palgrave Macmillan.
    3. Lihua Xiong & Tao Du & Chong-Yu Xu & Shenglian Guo & Cong Jiang & Christopher Gippel, 2015. "Non-Stationary Annual Maximum Flood Frequency Analysis Using the Norming Constants Method to Consider Non-Stationarity in the Annual Daily Flow Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3615-3633, August.
    4. Liang Emlyn Yang & Faith Ka Shun Chan & Jürgen Scheffran, 2018. "Climate change, water management and stakeholder analysis in the Dongjiang River basin in South China," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 34(2), pages 166-191, March.
    5. 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.
    6. Ali Razmi & Saeed Golian & Zahra Zahmatkesh, 2017. "Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2065-2083, May.
    7. Wenquan Gu & Dongguo Shao & Xuezhi Tan & Chen Shu & Zhen Wu, 2017. "Simulation and Optimization of Multi-Reservoir Operation in Inter-Basin Water Transfer System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3401-3412, September.
    8. Pardeep Pall & Tolu Aina & Dáithí A. Stone & Peter A. Stott & Toru Nozawa & Arno G. J. Hilberts & Dag Lohmann & Myles R. Allen, 2011. "Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000," Nature, Nature, vol. 470(7334), pages 382-385, February.
    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. Wen-jing Niu & Zhong-kai Feng & Yu-rong Li & Shuai Liu, 2021. "Cooperation Search Algorithm for Power Generation Production Operation Optimization of Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2465-2485, June.
    2. Rongrong Li & Lihua Xiong & Xini Zha & Bin Xiong & Han Liu & Jie Chen & Ling Zeng & Wenbin Li, 2022. "Impacts of climate and reservoirs on the downstream design flood hydrograph: a case study of Yichang Station," 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. 113(3), pages 1803-1831, 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. Yiming Hu & Zhongmin Liang & Vijay P. Singh & Xuebin Zhang & Jun Wang & Binquan Li & Huimin Wang, 2018. "Concept of Equivalent Reliability for Estimating the Design Flood under Non-stationary Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 997-1011, February.
    2. Antonino Cancelliere, 2017. "Non Stationary Analysis of Extreme Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3097-3110, August.
    3. Wentao Xu & Cong Jiang & Lei Yan & Lingqi Li & Shuonan Liu, 2018. "An Adaptive Metropolis-Hastings Optimization Algorithm of Bayesian Estimation in Non-Stationary Flood Frequency Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1343-1366, March.
    4. Yixuan Wang & Jianzhu Li & Ping Feng & Rong Hu, 2015. "A Time-Dependent Drought Index for Non-Stationary Precipitation Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5631-5647, December.
    5. Tiantian Gu & Anand Venkateswaran, 2018. "Firm-supplier relations and managerial compensation," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 621-649, October.
    6. Islam, Moinul & Kotani, Koji & Managi, Shunsuke, 2016. "Climate perception and flood mitigation cooperation: A Bangladesh case study," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 117-133.
    7. Moinul Islam & Koji Kotani, 2014. "Perceptions to climatic changes and cooperative attitudes toward flood protection in Bangladesh," Working Papers EMS_2014_10, Research Institute, International University of Japan.
    8. S. Lorenz & S. Dessai & J. Paavola & P. Forster, 2015. "The communication of physical science uncertainty in European National Adaptation Strategies," Climatic Change, Springer, vol. 132(1), pages 143-155, September.
    9. Moazami, Amin & Nik, Vahid M. & Carlucci, Salvatore & Geving, Stig, 2019. "Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions," Applied Energy, Elsevier, vol. 238(C), pages 696-720.
    10. Youxin Wang & Tao Peng & Qingxia Lin & Vijay P. Singh & Xiaohua Dong & Chen Chen & Ji Liu & Wenjuan Chang & Gaoxu Wang, 2022. "A New Non-stationary Hydrological Drought Index Encompassing Climate Indices and Modified Reservoir Index as Covariates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2433-2454, May.
    11. Greg Lusk, 2017. "The social utility of event attribution: liability, adaptation, and justice-based loss and damage," Climatic Change, Springer, vol. 143(1), pages 201-212, July.
    12. Fabian Barthel & Eric Neumayer, 2012. "A trend analysis of normalized insured damage from natural disasters," Climatic Change, Springer, vol. 113(2), pages 215-237, July.
    13. Deng, Yuping & Wu, Yanrui & Xu, Helian, 2019. "Political turnover and firm pollution discharges: An empirical study," China Economic Review, Elsevier, vol. 58(C).
    14. Wen, Fenghua & Li, Cui & Sha, Han & Shao, Liuguo, 2021. "How does economic policy uncertainty affect corporate risk-taking? Evidence from China," Finance Research Letters, Elsevier, vol. 41(C).
    15. -, 2018. "Climate Change in Central America: Potential Impacts and Public Policy Options," Sede Subregional de la CEPAL en México (Estudios e Investigaciones) 39150, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    16. A. Kay & R. Jones, 2012. "Comparison of the use of alternative UKCP09 products for modelling the impacts of climate change on flood frequency," Climatic Change, Springer, vol. 114(2), pages 211-230, September.
    17. John McClure & Ilan Noy & Yoshi Kashima & Taciano L. Milfont, 2022. "Attributions for extreme weather events: science and the people," Climatic Change, Springer, vol. 174(3), pages 1-17, October.
    18. Christian Huggel & Dáithí Stone & Hajo Eicken & Gerrit Hansen, 2015. "Potential and limitations of the attribution of climate change impacts for informing loss and damage discussions and policies," Climatic Change, Springer, vol. 133(3), pages 453-467, December.
    19. -, 2015. "The Economics of Climate Change in Central America: Summary 2012," Sede Subregional de la CEPAL en México (Estudios e Investigaciones) 39089, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    20. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," 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. 78(3), pages 1859-1882, 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:spr:waterr:v:33:y:2019:i:13:d:10.1007_s11269-019-02374-w. 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.