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A systematic review on approaches and methods used for flood vulnerability assessment: framework for future research

Author

Listed:
  • Sufia Rehman

    (Jamia MilliaIslamia)

  • Mehebub Sahana

    (Jamia MilliaIslamia)

  • Haoyuan Hong

    (Nanjing Normal University
    State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province)
    Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application)

  • Haroon Sajjad

    (Jamia MilliaIslamia)

  • Baharin Bin Ahmed

    (Universiti Teknologi Malaysia (UTM))

Abstract

Floods have always been associated with widespread devastation and destruction since the emergence of human civilization. The intensity of this disaster has been increasing due to accelerated impact of human activities. Flood vulnerability is very diverse in nature and is multidimensional and a topic of vital significance. Hence, flood vulnerability assessment assumes greater significance since magnitude of destructions varies over space and time. The study makes a credible attempt to present a coherent review on the approaches and methodologies used for assessing flood and its vulnerability. A time frame of 1990–2018 was chosen for analyzing varied works carried out flood vulnerability and susceptibility assessment. Articles from Scopus and other reputed journals were used to review the works on flood assessments. Methods and approaches were examined by considering most-cited authors and keywords used in their works. The study revealed a gap existing between methods and approaches for evaluating flood vulnerability which can be incorporated by using high-resolution data along with using multidimensional approach for assessing vulnerability. Furthermore, this study calls for comprehensive flood assessment using artificial neural network, hydrodynamic models and geospatial techniques to provide a vivid visualization of flood susceptibility. The study may prove helpful in analyzing different components of vulnerability and guiding research gaps in methodology to be used for assessing flood vulnerability at spatial scales.

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  • 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.
  • Handle: RePEc:spr:nathaz:v:96:y:2019:i:2:d:10.1007_s11069-018-03567-z
    DOI: 10.1007/s11069-018-03567-z
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    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Chaowei Xu & Jiashuai Yang & Lingyue Wang, 2022. "Application of Remote-Sensing-Based Hydraulic Model and Hydrological Model in Flood Simulation," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    8. 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.
    9. 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.

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