IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7955-d595505.html
   My bibliography  Save this article

A Hydrodynamic-Based Robust Numerical Model for Debris Hazard and Risk Assessment

Author

Listed:
  • Yongde Kang

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, School of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Jingming Hou

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, School of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Yu Tong

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, School of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Baoshan Shi

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, School of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

Abstract

Debris flow simulations are important in practical engineering. In this study, a graphics processing unit (GPU)-based numerical model that couples hydrodynamic and morphological processes was developed to simulate debris flow, transport, and morphological changes. To accurately predict the debris flow sediment transport and sediment scouring processes, a GPU-based parallel computing technique was used to accelerate the calculation. This model was created in the framework of a Godunov-type finite volume scheme and discretized into algebraic equations by the finite volume method. The mass and momentum fluxes were computed using the Harten, Lax, and van Leer Contact (HLLC) approximate Riemann solver, and the friction source terms were calculated using the proposed splitting point-implicit method. These values were evaluated using a novel 2D edge-based MUSCL scheme. The code was programmed using C++ and CUDA, which can run on GPUs to substantially accelerate the computation. After verification, the model was applied to the simulation of the debris flow process of an idealized example. The results of the new scheme better reflect the characteristics of the discontinuity of its movement and the actual law of the evolution of erosion and deposition over time. The research results provide guidance and a reference for the in-depth study of debris flow processes and disaster prevention and mitigation.

Suggested Citation

  • Yongde Kang & Jingming Hou & Yu Tong & Baoshan Shi, 2021. "A Hydrodynamic-Based Robust Numerical Model for Debris Hazard and Risk Assessment," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7955-:d:595505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7955/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/7955/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuzheng Wang & Lei Nie & Min Zhang & Hong Wang & Yan Xu & Tianyu Zuo, 2020. "Assessment of Debris Flow Risk Factors Based on Meta-Analysis—Cases Study of Northwest and Southwest China," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    2. George Clark & Susanne Moser & Samuel Ratick & Kirstin Dow & William Meyer & Srinivas Emani & Weigen Jin & Jeanne Kasperson & Roger Kasperson & Harry Schwarz, 1998. "Assessing the Vulnerability of Coastal Communities to Extreme Storms: The Case of Revere, MA., USA," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(1), pages 59-82, January.
    3. Qinwen Li & Yafeng Lu & Yukuan Wang & Pei Xu, 2019. "Debris Flow Risk Assessment Based on a Water–Soil Process Model at the Watershed Scale Under Climate Change: A Case Study in a Debris-Flow-Prone Area of Southwest China," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    4. Hai-Min Lyu & Jack Shuilong Shen & Arul Arulrajah, 2018. "Assessment of Geohazards and Preventative Countermeasures Using AHP Incorporated with GIS in Lanzhou, China," Sustainability, MDPI, vol. 10(2), pages 1-21, January.
    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. Fei Wang & Yongqiang Cao & Shuaibang Fan & Ruoning Zhang, 2022. "Study on the Identification and Classification of Key Influencing Factors of Debris-Flow-Prone Areas in Liaoning Province Based on Self-organizing Clustering and Sensitivity Analysis," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    2. Xi-Cun He & Tian-Liang Yang & Shui-Long Shen & Ye-Shuang Xu & Arul Arulrajah, 2019. "Land Subsidence Control Zone and Policy for the Environmental Protection of Shanghai," IJERPH, MDPI, vol. 16(15), pages 1-13, July.
    3. Eric Tate, 2012. "Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis," 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. 63(2), pages 325-347, September.
    4. Hai-Min Lyu & Ye-Shuang Xu & Wen-Chieh Cheng & Arul Arulrajah, 2018. "Flooding Hazards across Southern China and Prospective Sustainability Measures," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    5. Tauisi Taupo & Ilan Noy, 2017. "At the Very Edge of a Storm: The Impact of a Distant Cyclone on Atoll Islands," Economics of Disasters and Climate Change, Springer, vol. 1(2), pages 143-166, July.
    6. Mohammad Karamouz & Zahra Zahmatkesh & Sara Nazif & Ali Razmi, 2014. "An Evaluation of Climate Change Impacts on Extreme Sea Level Variability: Coastal Area of New York City," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3697-3714, September.
    7. Stefan Kienberger & Thomas Blaschke & Rukhe Zaidi, 2013. "A framework for spatio-temporal scales and concepts from different disciplines: the ‘vulnerability cube’," 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. 68(3), pages 1343-1369, September.
    8. Arouri, Mohamed & Nguyen, Cuong & Youssef, Adel Ben, 2015. "Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam," World Development, Elsevier, vol. 70(C), pages 59-77.
    9. Mohsen Alizadeh & Esmaeil Alizadeh & Sara Asadollahpour Kotenaee & Himan Shahabi & Amin Beiranvand Pour & Mahdi Panahi & Baharin Bin Ahmad & Lee Saro, 2018. "Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran," Sustainability, MDPI, vol. 10(10), pages 1-23, September.
    10. Dao Duy Minh & Philippe Lebailly & Nguyen Dang Hao & Philippe Burny & Ho Thi Minh Hop, 2019. "The Dynamics of Livelihood Vulnerability Index at Farm Household Level: An Empirical Analysis of the Coastal Sandy Zone in Thua Thien Hue Province, Vietnam," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 77-89.
    11. Abdur Rahim Hamidi & Jiangwei Wang & Shiyao Guo & Zhongping Zeng, 2020. "Flood vulnerability assessment using MOVE framework: a case study of the northern part of district Peshawar, Pakistan," 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. 101(2), pages 385-408, March.
    12. Lisa Rygel & David O’sullivan & Brent Yarnal, 2006. "A Method for Constructing a Social Vulnerability Index: An Application to Hurricane Storm Surges in a Developed Country," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(3), pages 741-764, May.
    13. Duxbury, Jane & Dickinson, Sarah, 2007. "Principles for sustainable governance of the coastal zone: In the context of coastal disasters," Ecological Economics, Elsevier, vol. 63(2-3), pages 319-330, August.
    14. Margaret Gitau & Nathaniel Bailey, 2012. "Multi-Layer Assessment of Land Use and Related Changes for Decision Support in a Coastal Zone Watershed," Land, MDPI, vol. 1(1), pages 1-27, December.
    15. Muhammad Tauhidur Rahman & Adel S. Aldosary & Kh Md Nahiduzzaman & Imran Reza, 2016. "Vulnerability of flash flooding in Riyadh, Saudi Arabia," 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(3), pages 1807-1830, December.
    16. Annemarie Ebert & Norman Kerle & Alfred Stein, 2009. "Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data," 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. 48(2), pages 275-294, February.
    17. Jhorland Ayala García & Adolfo Meisel Roca, 2016. "La exclusión en los tiempos del auge: El caso de Cartagena," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 10(2), pages 7-43, December.
    18. Mrittika Basu & Satoshi Hoshino & Shizuka Hashimoto, 2016. "A pragmatic analysis of water supply and demand, and adaptive capacity in rural areas: development of Rural Water Insecurity Index," 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. 81(1), pages 447-466, March.
    19. Yudi Zhang & Lei He, 2022. "Research on the Characteristics and Influencing Factors of Community Residents’ Night Evacuation Behavior Based on Structural Equation Model," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    20. Jaejoon Lee & Hyunji Lee & Hongsik Yun & Chol Kang & Moonsoo Song, 2021. "Improved Vulnerability Assessment Table for Retaining Walls and Embankments from a Working-Level Perspective in Korea," Sustainability, MDPI, vol. 13(3), pages 1-24, January.

    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:13:y:2021:i:14:p:7955-:d:595505. 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.