IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p11861-d920392.html
   My bibliography  Save this article

Predicting Flood Hazards in the Vietnam Central Region: An Artificial Neural Network Approach

Author

Listed:
  • Minh Pham Quang

    (VNU-HCM High School for the Gifted, Ho Chi Minh City 70000, Vietnam)

  • Krti Tallam

    (Department of Biology, Stanford University, Stanford, CA 94305, USA)

Abstract

Flooding as a hazard has negatively impacted Vietnam’s agriculture, economy, and infrastructure with increasing intensity because of climate change. Flood hazards in Vietnam are difficult to combat, as Vietnam is densely populated with rivers and canals. While there are attempts to lessen the damage through hazard mitigation policies, such as early evacuation warnings, these attempts are made heavily reliant on short-term traditional statistical models and physical hydrology modeling, which provide suboptimal results. The current situation is caused by the fragmented approach from the Vietnamese government and exacerbates a need for more centralized and robust flood predictive systems. Local governments need to employ their own prediction models which often lack the capacity to draw key insights from limited flood occurrences. Given the robustness of machine learning, especially in low data settings, in this study, we attempt to introduce an artificial neural network model with the aim to create long-term forecast and compare it with other machine learning approaches. We trained the models using different variables evaluated under three characteristics: climatic, hydrological, and socio-economic. We found that our artificial neural network model performed substantially better both in performance metrics (91% accuracy) and relative to other models and can predict well flood hazards in the long term.

Suggested Citation

  • Minh Pham Quang & Krti Tallam, 2022. "Predicting Flood Hazards in the Vietnam Central Region: An Artificial Neural Network Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11861-:d:920392
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/11861/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/11861/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sufia Rehman & Mehebub Sahana & Haoyuan Hong & Haroon Sajjad & Baharin Bin Ahmed, 2019. "A systematic review on approaches and methods used for flood vulnerability assessment: framework for future research," 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. 96(2), pages 975-998, March.
    2. Peyman Yariyan & Saeid Janizadeh & Tran Phong & Huu Duy Nguyen & Romulus Costache & Hiep Le & Binh Thai Pham & Biswajeet Pradhan & John P. Tiefenbacher, 2020. "Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3037-3053, July.
    3. Mustapha Ikirri & Farid Faik & Fatima Zahra Echogdali & Isabel Margarida Horta Ribeiro Antunes & Mohamed Abioui & Kamal Abdelrahman & Mohammed S. Fnais & Abderrahmane Wanaim & Mouna Id-Belqas & Said B, 2022. "Flood Hazard Index Application in Arid Catchments: Case of the Taguenit Wadi Watershed, Lakhssas, Morocco," Land, MDPI, vol. 11(8), pages 1-20, July.
    4. Boyu Feng & Jinfei Wang & Ying Zhang & Brent Hall & Chuiqing Zeng, 2020. "Urban flood hazard mapping using a hydraulic–GIS combined model," 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. 100(3), pages 1089-1104, 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. Jian Liu & Kangjie Wang & Shan Lv & Xiangtao Fan & Haixia He, 2023. "Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    2. Ana Momčilović Petronijević & Predrag Petronijević, 2022. "Floods and Their Impact on Cultural Heritage—A Case Study of Southern and Eastern Serbia," Sustainability, MDPI, vol. 14(22), pages 1-25, November.

    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. Qiang Hu & Yuelong Zhu & Hexuan Hu & Zhuang Guan & Zeyu Qian & Aiming Yang, 2022. "Multiple Kernel Learning with Maximum Inundation Extent from MODIS Imagery for Spatial Prediction of Flood Susceptibility," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 55-73, January.
    2. Abu Reza Md. Towfiqul Islam & Md. Mijanur Rahman Bappi & Saeed Alqadhi & Ahmed Ali Bindajam & Javed Mallick & Swapan Talukdar, 2023. "Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries," 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. 119(1), pages 1-37, October.
    3. Lloyd Ling & Zulkifli Yusop & Joan Lucille Ling, 2021. "Statistical and Type II Error Assessment of a Runoff Predictive Model in Peninsula Malaysia," Mathematics, MDPI, vol. 9(8), pages 1-24, April.
    4. Andrew Russell & Paul Sayers, 2022. "Assessing Future Flood Risk and Developing Integrated Flood Risk Management Strategies: A Case Study from the UK Climate Change Risk Assessment," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    5. Kouao Laurent Kouadio & Jianxin Liu & Serge Kouamelan Kouamelan & Rong Liu, 2023. "Ensemble Learning Paradigms for Flow Rate Prediction Boosting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4413-4431, September.
    6. Manish Kumar & Ahmed Elbeltagi & Chaitanya B. Pande & Ali Najah Ahmed & Ming Fai Chow & Quoc Bao Pham & Anuradha Kumari & Deepak Kumar, 2022. "Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2201-2221, May.
    7. Rana Muhammad Adnan & Abolfazl Jaafari & Aadhityaa Mohanavelu & Ozgur Kisi & Ahmed Elbeltagi, 2021. "Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    8. Syamsiyatul Muzayyanah & Cheng-Yih Hong & Rishan Adha & Su-Fen Yang, 2023. "The Non-Linear Relationship between Air Pollution, Labor Insurance and Productivity: Multivariate Adaptive Regression Splines Approach," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    9. Bikram Manandhar & Shenghui Cui & Lihong Wang & Sabita Shrestha, 2023. "Urban Flood Hazard Assessment and Management Practices in South Asia: A Review," Land, MDPI, vol. 12(3), pages 1-29, March.
    10. Yi Chen & Zhicong Ye & Hui Liu & Ruishan Chen & Zhenhuan Liu & Hui Liu, 2021. "A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    11. Jobaed Ragib Zaman & C. Emdad Haque & David Walker, 2022. "Local-Level Flood Hazard Management in Canada: An Assessment of Institutional Structure and Community Engagement in the Red River Valley of Manitoba," Geographies, MDPI, vol. 2(4), pages 1-26, December.
    12. Saad S. Alarifi & Mohamed Abdelkareem & Fathy Abdalla & Mislat Alotaibi, 2022. "Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    13. Abazar Esmali Ouri & Mohammad Golshan & Saeid Janizadeh & Artemi Cerdà & Assefa M. Melesse, 2020. "Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques," Land, MDPI, vol. 9(10), pages 1-18, October.
    14. Mandeep Kaur & Pankaj Deep Kaur & Sandeep Kumar Sood, 2021. "Energy efficient IoT-based cloud framework for early flood prediction," 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. 109(3), pages 2053-2076, December.
    15. Budi Heru Santosa & Dwi Nowo Martono & Rachmadhi Purwana & Raldi Hendro Koestoer & Wiwiek Dwi Susanti, 2023. "Understanding household flood resilience in Tangerang, Indonesia, using a composite indicator 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. 119(1), pages 69-94, October.
    16. Jiun-Huei Jang & Petr Vohnicky & Yen-Lien Kuo, 2021. "Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2215-2230, May.
    17. Sarina Yusoff & Nur Hafizah Yusoff, 2022. "Disaster Risks Management through Adaptive Actions from Human-Based Perspective: Case Study of 2014 Flood Disaster," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    18. Eyimoga, Helen Alikeju & Abraham Sunday Samuel (PhD), 2023. "An analysis of the effects of urbanization on urban drainage systems in Ankpa, Dekina and Oguma Towns of Kogi State in North Central Nigeria," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(05), pages 149-162, May.
    19. Truc, Ngo Thi Thanh & Thuc, Le Vinh, 2022. "Impact of saltwater intrusion on relation to fruit growing households in Ben Tre, Vietnam," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(1), March.
    20. Sheikh Kamran Abid & Noralfishah Sulaiman & Shiau Wei Chan & Umber Nazir & Muhammad Abid & Heesup Han & Antonio Ariza-Montes & Alejandro Vega-Muñoz, 2021. "Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management," Sustainability, MDPI, vol. 13(22), pages 1-17, November.

    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:14:y:2022:i:19:p:11861-:d:920392. 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.