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Investigating the impacts of typhoon-induced floods on the agriculture in the central region of Vietnam by using hydrological models and satellite data

Author

Listed:
  • Nga Thi Thanh Pham

    (Vietnam Academy of Science and Technology (VAST))

  • Quang Hong Nguyen

    (Vietnam Academy of Science and Technology (VAST))

  • Anh Duc Ngo

    (Vietnam Academy of Science and Technology (VAST))

  • Hang Thi Thu Le

    (Vietnam Academy of Science and Technology (VAST))

  • Cong Tien Nguyen

    (Vietnam Academy of Science and Technology (VAST))

Abstract

Flooding associated with landing tropical cyclones (TCs) is one of the major natural hazards in the coastal region of Vietnam. Annually, approximately 5 or 6 TCs make landfall in Vietnam, bringing heavy rains and inducing flooding, particularly to the central coastal region because of its topography and geographic configuration. This study focuses on the modelling of typhoon-induced floods that have resulted in widespread damage to agriculture over the central Thua Thien Hue Province of Vietnam by coupling two well-known hydrological models, KINEROS2 and HEC-RAS (Daniel et al. in Open Hydrol J 5(1), 2011), and using GSMaP (Global Satellite Mapping of Precipitation) data as the satellite rainfall input. Landsat imagery and GIS are also used for mapping and analysing the inundated areas. The discharge and water level from the KINEROS2 and HEC-RAS models displayed acceptable results for the floods modelled from three selected typhoons; both the Nash–Sutcliffe simulation efficiency coefficient (NSE) and the coefficient of determination (R2) were greater than 0.6. The simulated inundation maps of these typhoon-induced floods were compared with those extracted from the Landsat imagery to assess consistency. The result revealed a similar spatial extension of the inundated agricultural areas. This information, together with the forecasted TC movements and associated rainfalls, will be helpful to plan methods for mitigating potential typhoon-induced flooding and damage, particularly damage to agricultural regions.

Suggested Citation

  • Nga Thi Thanh Pham & Quang Hong Nguyen & Anh Duc Ngo & Hang Thi Thu Le & Cong Tien Nguyen, 2018. "Investigating the impacts of typhoon-induced floods on the agriculture in the central region of Vietnam by using hydrological models and satellite 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. 92(1), pages 189-204, May.
    • Handle: RePEc:spr:nathaz:v:92:y:2018:i:1:d:10.1007_s11069-018-3202-6
    DOI: 10.1007/s11069-018-3202-6
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    Cited by:

    1. Linh N. Luu & Paolo Scussolini & Sarah Kew & Sjoukje Philip & Mugni Hadi Hariadi & Robert Vautard & Khiem Mai & Thang Vu & Kien Ba Truong & Friederike Otto & Gerard Schrier & Maarten K. Aalst & Geert , 2021. "Attribution of typhoon-induced torrential precipitation in Central Vietnam, October 2020," Climatic Change, Springer, vol. 169(3), pages 1-22, December.
    2. Qian Ke & Jiangshan Yin & Jeremy D. Bricker & Nicholas Savage & Erasmo Buonomo & Qinghua Ye & Paul Visser & Guangtao Dong & Shuai Wang & Zhan Tian & Laixiang Sun & Ralf Toumi & Sebastiaan N. Jonkman, 2021. "An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai," 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(1), pages 671-703, October.
    3. Roland Cochard & Bien Thanh Vu & Dung Tri Ngo, 2021. "Acacia Plantation Development and the Configuration of Tree Farmers’ Agricultural Assets and Land Management—A Survey in Central Vietnam," Land, MDPI, vol. 10(12), pages 1-39, November.
    4. Xiao-yan Huang & Li He & Hua-sheng Zhao & Ying Huang & Yu-shuang Wu, 2021. "Prediction model based on the Laplacian eigenmap method combined with a random forest algorithm for rainstorm satellite images during the first annual rainy season in South China," 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. 107(1), pages 331-353, May.
    5. Joško Trošelj & Han Soo Lee & Lena Hobohm, 2023. "Enhancing a Real-Time Flash Flood Predictive Accuracy Approach for the Development of Early Warning Systems: Hydrological Ensemble Hindcasts and Parameterizations," Sustainability, MDPI, vol. 15(18), pages 1-33, September.
    6. Arun Rana & Qinhan Zhu & Annette Detken & Karina Whalley & Christelle Castet, 2022. "Strengthening climate-resilient development and transformation in Viet Nam," Climatic Change, Springer, vol. 170(1), pages 1-23, January.

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