IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v107y2021i1d10.1007_s11069-021-04595-y.html
   My bibliography  Save this article

Effects of nonlinear terms and topography in a storm surge model along the southeastern coast of China: a case study of Typhoon Chan-hom

Author

Listed:
  • Xilin Zhang

    (Zhejiang University)

  • Dongdong Chu

    (Zhejiang University)

  • Jicai Zhang

    (Zhejiang University)

Abstract

Based on Finite Volume Coastal Ocean Model (FVCOM), this study constructed a numerical model covering the Bohai Sea, Yellow Sea, and East China Sea. National Centers for Environmental Prediction’s Climate Forecast System Reanalysis (NCEP-CFSR) data were used to drive the model to simulate a large storm surge generated by Typhoon Chan-hom. The model was validated by multiple in situ observations of water levels taken at tidal gauge stations. The effects of the nonlinear terms and topography on the modeling of storm surges were then studied. First, the tide–surge interaction during the storm surge process was analyzed. The results show that the tide–surge interaction can suppress the storm surge at the climax of the astronomical tide and benefit the growth of the storm surge at the ebb of the astronomical tide. The tidal constituents M2, S2 and K1 were added to analyze the influences of the amplitudes and periods of tides on the nonlinear reaction. The results indicate that the nonlinear effect will be enhanced by an increased tidal height; additionally, the nonlinear interaction of semidiurnal tides is more significant than that of diurnal tides. The semidiurnal fluctuation that appears near the peak-value time is also attributed to the tide–surge interaction. Moreover, the tide–surge interaction can be influenced by the water depth and position of the area of interest. According to the numerical results, topography has a certain impact on the storm surge: The peak value of the storm surge will decrease with increasing slope. The existence of the Ryukyu Islands reduces the area influenced by the storm surge on the southeast coast of China but expands the high-value storm surge area.

Suggested Citation

  • Xilin Zhang & Dongdong Chu & Jicai Zhang, 2021. "Effects of nonlinear terms and topography in a storm surge model along the southeastern coast of China: a case study of Typhoon Chan-hom," 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. 107(1), pages 551-574, May.
    • Handle: RePEc:spr:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04595-y
    DOI: 10.1007/s11069-021-04595-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-04595-y
    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/s11069-021-04595-y?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. Jie Yin & Dapeng Yu & Zhane Yin & Jun Wang & Shiyuan Xu, 2013. "Modelling the combined impacts of sea-level rise and land subsidence on storm tides induced flooding of the Huangpu River in Shanghai, China," Climatic Change, Springer, vol. 119(3), pages 919-932, August.
    2. Shuo Yang & Xin Liu & Qiang Liu, 2016. "A storm surge projection and disaster risk assessment model for China coastal areas," 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. 84(1), pages 649-667, October.
    3. Yuexia Zhang & Ting Li & Hui Wang & Jing Guo, 2016. "Storm surge risk assessment for Yuhuan County in Taizhou City," 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. 84(1), pages 1-16, October.
    4. Stijn Temmerman & Patrick Meire & Tjeerd J. Bouma & Peter M. J. Herman & Tom Ysebaert & Huib J. De Vriend, 2013. "Ecosystem-based coastal defence in the face of global change," Nature, Nature, vol. 504(7478), pages 79-83, December.
    5. Xianwu Shi & Shan Liu & Saini Yang & Qinzheng Liu & Jun Tan & Zhixing Guo, 2015. "Spatial–temporal distribution of storm surge damage in the coastal areas of China," 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. 79(1), pages 237-247, 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. Ke Wang & Yongsheng Yang & Genserik Reniers & Quanyi Huang, 2021. "A study into the spatiotemporal distribution of typhoon storm surge disasters in China," 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. 108(1), pages 1237-1256, August.
    2. Xue Jin & Xiaoxia Shi & Jintian Gao & Tongbin Xu & Kedong Yin, 2018. "Evaluation of Loss Due to Storm Surge Disasters in China Based on Econometric Model Groups," IJERPH, MDPI, vol. 15(4), pages 1-19, March.
    3. Xiaotong Sui & Mingzhao Hu & Haoyun Wang & Lingdi Zhao, 2023. "Improved elasticity estimation model for typhoon storm surge losses in China," 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. 116(2), pages 2363-2381, March.
    4. Xue Jin & U. Rashid Sumaila & Kedong Yin, 2020. "Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    5. Abhiru Aryal & Albira Acharya & Ajay Kalra, 2022. "Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling," Forecasting, MDPI, vol. 4(3), pages 1-22, June.
    6. Gerald Schernewski & Lars Niklas Voeckler & Leon Lambrecht & Esther Robbe & Johanna Schumacher, 2022. "Building with Nature—Ecosystem Service Assessment of Coastal-Protection Scenarios," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    7. Lam Thi Mai Huynh & Jie Su & Quanli Wang & Lindsay C. Stringer & Adam D. Switzer & Alexandros Gasparatos, 2024. "Meta-analysis indicates better climate adaptation and mitigation performance of hybrid engineering-natural coastal defence measures," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    8. Octavio Rojas & María Mardones & Carolina Martínez & Luis Flores & Katia Sáez & Alberto Araneda, 2018. "Flooding in Central Chile: Implications of Tides and Sea Level Increase in the 21st Century," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    9. Pérez-Maqueo, Octavio & Martínez, M. Luisa & Cóscatl Nahuacatl, Rosendo, 2017. "Is the protection of beach and dune vegetation compatible with tourism?," Tourism Management, Elsevier, vol. 58(C), pages 175-183.
    10. Reguero, Borja G. & Beck, Michael W. & Schmid, David & Stadtmüller, Daniel & Raepple, Justus & Schüssele, Stefan & Pfliegner, Kerstin, 2020. "Financing coastal resilience by combining nature-based risk reduction with insurance," Ecological Economics, Elsevier, vol. 169(C).
    11. Zhiyi Lin & Minerva Singh, 2024. "Assessing Coastal Vulnerability and Evaluating the Effectiveness of Natural Habitats in Enhancing Coastal Resilience: A Case Study in Shanghai, China," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
    12. Álvarez, Xana & Gómez-Rúa, María & Vidal-Puga, Juan, 2019. "Risk prevention of land flood: A cooperative game theory approach," MPRA Paper 91515, University Library of Munich, Germany.
    13. Roche, R.C. & Walker-Springett, K. & Robins, P.E. & Jones, J. & Veneruso, G. & Whitton, T.A. & Piano, M. & Ward, S.L. & Duce, C.E. & Waggitt, J.J. & Walker-Springett, G.R. & Neill, S.P. & Lewis, M.J. , 2016. "Research priorities for assessing potential impacts of emerging marine renewable energy technologies: Insights from developments in Wales (UK)," Renewable Energy, Elsevier, vol. 99(C), pages 1327-1341.
    14. Takahiro Tsuge & Yasushi Shoji & Koichi Kuriyama & Ayumi Onuma, 2022. "Using a Choice Experiment to Understand Preferences for Disaster Risk Reduction with Uncertainty: A Case Study in Japan," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    15. Anamaria Bukvic & Julia Gohlke & Aishwarya Borate & Jessica Suggs, 2018. "Aging in Flood-Prone Coastal Areas: Discerning the Health and Well-Being Risk for Older Residents," IJERPH, MDPI, vol. 15(12), pages 1-25, December.
    16. Weichao Yang & De Hu & Xuelian Jiang & Xuebo Dun & Bingtao Hou & Chuanxing Zheng & Caixia Chen & Rong Zhuang, 2022. "Framework for Spatio-Temporal Distribution of Disasters and Influencing Factors: Exploratory Study of Tianjin, China," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    17. Strain, E.M.A. & Kompas, T. & Boxshall, A. & Kelvin, J. & Swearer, S. & Morris, R.L., 2022. "Assessing the coastal protection services of natural mangrove forests and artificial rock revetments," Ecosystem Services, Elsevier, vol. 55(C).
    18. Carus, Jana & Heuner, Maike & Paul, Maike & Schröder, Boris, 2017. "Which factors and processes drive the spatio-temporal dynamics of brackish marshes?—Insights from development and parameterisation of a mechanistic vegetation model," Ecological Modelling, Elsevier, vol. 363(C), pages 122-136.
    19. Maria Fabrizia Clemente & Valeria D’Ambrosio & Ferdinando Di Martino & Vittorio Miraglia, 2023. "Quantify the Contribution of Nature-Based Solutions in Reducing the Impacts of Hydro-Meteorological Hazards in the Urban Environment: A Case Study in Naples, Italy," Land, MDPI, vol. 12(3), pages 1-20, February.
    20. Priscila Celebrini de Oliveira Campos & Tainá da Silva Rocha Paz & Letícia Lenz & Yangzi Qiu & Camila Nascimento Alves & Ana Paula Roem Simoni & José Carlos Cesar Amorim & Gilson Brito Alves Lima & Ma, 2020. "Multi-Criteria Decision Method for Sustainable Watercourse Management in Urban Areas," Sustainability, MDPI, vol. 12(16), pages 1-22, August.

    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:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04595-y. 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.