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Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam

Author

Listed:
  • Chinh Luu

    (Faculty of Hydraulic Engineering, National University of Civil Engineering, Hanoi 100000, Vietnam)

  • Hieu Xuan Tran

    (Department of Urban Planning, National University of Civil Engineering, Hanoi 100000, Vietnam)

  • Binh Thai Pham

    (Department of Geotechnical Engineering, University of Transport Technology, Hanoi 100000, Vietnam)

  • Nadhir Al-Ansari

    (Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 971 87 Lulea, Sweden)

  • Thai Quoc Tran

    (Department of Urban Planning, National University of Civil Engineering, Hanoi 100000, Vietnam)

  • Nga Quynh Duong

    (Department of Urban Planning, National University of Civil Engineering, Hanoi 100000, Vietnam)

  • Nam Hai Dao

    (Department of Urban Planning, National University of Civil Engineering, Hanoi 100000, Vietnam)

  • Lam Phuong Nguyen

    (Faculty of Hydraulic Engineering, National University of Civil Engineering, Hanoi 100000, Vietnam)

  • Huu Duy Nguyen

    (Faculty of Geography, VNU University of Science, Vietnam National University, Hanoi 100000, Vietnam)

  • Huong Thu Ta

    (Centre For Water Resources Software, Vietnam Academy for Water Resources, Hanoi 100000, Vietnam)

  • Hiep Van Le

    (Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)

  • Jason von Meding

    (Rinker School of Construction Management, University of Florida, Gainesville, FL 32611, USA)

Abstract

Vietnam has been extensively affected by floods, suffering heavy losses in human life and property. While the Vietnamese government has focused on structural measures of flood defence such as levees and early warning systems, the country still lacks flood risk assessment methodologies and frameworks at local and national levels. In response to this gap, this study developed a flood risk assessment framework that uses historical flood mark data and a high-resolution digital elevation model to create an inundation map, then combined this map with exposure and vulnerability data to develop a holistic flood risk assessment map. The case study is the October 2010 flood event in Quang Binh province, which caused 74 deaths, 210 injuries, 188,628 flooded properties, 9019 ha of submerged and damaged agricultural land, and widespread damages to canals, levees, and roads. The final flood risk map showed a total inundation area of 64,348 ha, in which 8.3% area of low risk, 16.3% area of medium risk, 12.0% area of high risk, 37.1% area of very high risk, and 26.2% area of extremely high risk. The holistic flood risk assessment map of Quang Binh province is a valuable tool and source for flood preparedness activities at the local scale.

Suggested Citation

  • Chinh Luu & Hieu Xuan Tran & Binh Thai Pham & Nadhir Al-Ansari & Thai Quoc Tran & Nga Quynh Duong & Nam Hai Dao & Lam Phuong Nguyen & Huu Duy Nguyen & Huong Thu Ta & Hiep Van Le & Jason von Meding, 2020. "Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:3058-:d:344006
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    References listed on IDEAS

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    Cited by:

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    2. Chinh Luu & Quynh Duy Bui & Romulus Costache & Luan Thanh Nguyen & Thu Thuy Nguyen & Tran Phong & Hiep Le & Binh Thai Pham, 2021. "Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam," 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(3), pages 3229-3251, September.
    3. Maxim Arseni & Adrian Rosu & Madalina Calmuc & Valentina Andreea Calmuc & Catalina Iticescu & Lucian Puiu Georgescu, 2020. "Development of Flood Risk and Hazard Maps for the Lower Course of the Siret River, Romania," Sustainability, MDPI, vol. 12(16), pages 1-24, August.
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    5. Shuang Liu & Rui Liu & Nengzhi Tan, 2021. "A Spatial Improved-kNN-Based Flood Inundation Risk Framework for Urban Tourism under Two Rainfall Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-18, March.

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