IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v87y2017i3d10.1007_s11069-017-2817-3.html
   My bibliography  Save this article

A geospatial framework to estimate depth of scour under buildings due to storm surge in coastal areas

Author

Listed:
  • Mariamawit Borga

    (George Mason University)

  • Burak F. Tanyu

    (George Mason University)

  • Celso M. Ferreira

    (George Mason University)

  • Juan L. Garzon

    (George Mason University)

  • Michael Onufrychuk

    (George Mason University)

Abstract

Hurricanes and tropical storms represent one of the major hazards in coastal communities. Storm surge generated by strong winds and low pressure from these systems have the potential to bring extensive flooding in coastal areas. In many cases, the damage caused by the storm surge may exceed the damage from the wind resulting in the total collapse of buildings. Therefore, in coastal areas, one of the sources for major structural damage could be due to scour, where the soil below the building that serves as the foundation is swept away by the movement of the water. The existing methodologies to forecast hurricane flood damage do not differentiate between the different damage mechanisms (e.g., inundation vs. scour). Currently, there are no tools available that predominantly focus on forecasting scour-related damage for buildings. Such a tool could provide significant advantages for planning and/or preparing emergency responses. Therefore, the focus of this study was to develop a methodology to predict possible scour depth due to hurricane storm surges using an automated ArcGIS tool that incorporates the expected hurricane conditions (flow depth, velocity, and flood duration), site-specific building information, and the associated soil types for the foundation. A case study from Monmouth County (NJ), where the scour damages from 2012 Hurricane Sandy were recorded after the storm, was used to evaluate the accuracy of the developed forecasting tool and to relate the scour depth to potential scour damage. The results indicate that the developed tool provides relatively consistent results with the field observations.

Suggested Citation

  • Mariamawit Borga & Burak F. Tanyu & Celso M. Ferreira & Juan L. Garzon & Michael Onufrychuk, 2017. "A geospatial framework to estimate depth of scour under buildings due to storm surge in 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. 87(3), pages 1285-1311, July.
  • Handle: RePEc:spr:nathaz:v:87:y:2017:i:3:d:10.1007_s11069-017-2817-3
    DOI: 10.1007/s11069-017-2817-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-017-2817-3
    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/s11069-017-2817-3?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. Stephane Hallegatte & Colin Green & Robert J. Nicholls & Jan Corfee-Morlot, 2013. "Future flood losses in major coastal cities," Nature Climate Change, Nature, vol. 3(9), pages 802-806, September.
    2. Honghai Qi & Pu Qi & M. Altinakar, 2013. "GIS-Based Spatial Monte Carlo Analysis for Integrated Flood Management with Two Dimensional Flood Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3631-3645, August.
    3. Siyuan Xian & Ning Lin & Adam Hatzikyriakou, 2015. "Storm surge damage to residential areas: a quantitative analysis for Hurricane Sandy in comparison with FEMA flood map," 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(3), pages 1867-1888, December.
    4. Jie Chen & Zhenhua Huang & Changbo Jiang & Bin Deng & Yuannan Long, 2013. "Tsunami-induced scour at coastal roadways: a laboratory study," 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. 69(1), pages 655-674, October.
    5. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," 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. 83(2), pages 947-987, September.
    6. Judith Wolf, 2009. "Coastal flooding: impacts of coupled wave–surge–tide models," 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. 49(2), pages 241-260, May.
    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. Adam Hatzikyriakou & Ning Lin, 2017. "Simulating storm surge waves for structural vulnerability estimation and flood hazard mapping," 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(2), pages 939-962, November.
    2. Soroush Kouhi & M. Reza Hashemi & Malcolm Spaulding & Tetsu Hara, 2022. "Modeling the impact of sea level rise on maximum water elevation during storm surge events: a closer look at coastal embayments," Climatic Change, Springer, vol. 171(3), pages 1-20, April.
    3. Abinash Bhattachan & Matthew D. Jurjonas & Priscilla R. Morris & Paul J. Taillie & Lindsey S. Smart & Ryan E. Emanuel & Erin L. Seekamp, 2019. "Linking residential saltwater intrusion risk perceptions to physical exposure of climate change impacts in rural coastal communities of North Carolina," 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. 97(3), pages 1277-1295, July.
    4. Ping Lan & Li Guo & Yaling Zhang & Guanghua Qin & Xiaodong Li & Carlos R. Mello & Elizabeth W. Boyer & Yehui Zhang & Bihang Fan, 2024. "Updating probable maximum precipitation for Hong Kong under intensifying extreme precipitation events," Climatic Change, Springer, vol. 177(2), pages 1-20, February.
    5. Allan Beltrán & David Maddison & Robert J. R. Elliott, 2018. "Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2340-2367, November.
    6. Box-Couillard, Sebastien & Xu, Yilan, 2022. "The Effect of Flood Insurance on Property Values after a Flood," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322191, Agricultural and Applied Economics Association.
    7. Céline Grislain-Letrémy & Bertrand Villeneuve, 2019. "Natural disasters, land-use, and insurance," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 54-86, March.
    8. Martin Vezér & Alexander Bakker & Klaus Keller & Nancy Tuana, 2018. "Epistemic and ethical trade-offs in decision analytical modelling," Climatic Change, Springer, vol. 147(1), pages 1-10, March.
    9. Adriana Kocornik-Mina & Thomas K. J. McDermott & Guy Michaels & Ferdinand Rauch, 2020. "Flooded Cities," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 35-66, April.
    10. Weijiang Li & Jiahong Wen & Bo Xu & Xiande Li & Shiqiang Du, 2018. "Integrated Assessment of Economic Losses in Manufacturing Industry in Shanghai Metropolitan Area Under an Extreme Storm Flood Scenario," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    11. William G. Bennett & Harshinie Karunarathna & Yunqing Xuan & Muhammad S. B. Kusuma & Mohammad Farid & Arno A. Kuntoro & Harkunti P. Rahayu & Benedictus Kombaitan & Deni Septiadi & Tri N. A. Kesuma & R, 2023. "Modelling compound flooding: a case study from Jakarta, Indonesia," 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. 118(1), pages 277-305, August.
    12. Brandon W. Kerns & Shuyi S. Chen, 2023. "Compound effects of rain, storm surge, and river discharge on coastal flooding during Hurricane Irene and Tropical Storm Lee (2011) in the Mid-Atlantic region: coupled atmosphere-wave-ocean model simu," 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(1), pages 693-726, March.
    13. D. J. Rasmussen & Scott Kulp & Robert E. Kopp & Michael Oppenheimer & Benjamin H. Strauss, 2022. "Popular extreme sea level metrics can better communicate impacts," Climatic Change, Springer, vol. 170(3), pages 1-17, February.
    14. 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).
    15. Yus Budiyono & Jeroen Aerts & JanJaap Brinkman & Muh Marfai & Philip Ward, 2015. "Flood risk assessment for delta mega-cities: a case study of Jakarta," 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. 75(1), pages 389-413, January.
    16. Karen T. Lourdes & Chris N. Gibbins & Perrine Hamel & Ruzana Sanusi & Badrul Azhar & Alex M. Lechner, 2021. "A Review of Urban Ecosystem Services Research in Southeast Asia," Land, MDPI, vol. 10(1), pages 1-21, January.
    17. Julien Boulange & Yukiko Hirabayashi & Masahiro Tanoue & Toshinori Yamada, 2023. "Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios," 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. 118(3), pages 1855-1879, September.
    18. Mercy J. Borbor-Cordova & Geremy Ger & Angel A. Valdiviezo-Ajila & Mijail Arias-Hidalgo & David Matamoros & Indira Nolivos & Gonzalo Menoscal-Aldas & Federica Valle & Alessandro Pezzoli & Maria del Pi, 2020. "An Operational Framework for Urban Vulnerability to Floods in the Guayas Estuary Region: The Duran Case Study," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
    19. Jim Gower, 2015. "A sea surface height control dam at the Strait of Gibraltar," 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 2109-2120, September.
    20. Jiake Li & Jiayu Gao & Ning Li & Yutong Yao & Yishuo Jiang, 2023. "Risk Assessment and Management Method of Urban Flood Disaster," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2001-2018, March.

    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:87:y:2017:i:3:d:10.1007_s11069-017-2817-3. 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.