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Information diffusion theory-based approach for the risk assessment of meteorological disasters in the Yangtze River Basin

Author

Listed:
  • Yu Xiaobing

    (Nanjing University of Information Science & Technology
    Nanjing University of Information Science & Technology)

  • Li Chenliang

    (Nanjing University of Information Science & Technology)

  • Huo Tongzhao

    (Nanjing University of Information Science & Technology)

  • Ji Zhonghui

    (Nanjing University of Information Science & Technology)

Abstract

The Yangtze River Basin is one of the three plain areas in China, and it spans eleven regions and serves as an important economic belt. The Yangtze River Basin is a region with frequent meteorological disasters and is affected by south-east and south-west monsoons. With a dense population, the economy in the middle and lower reaches of the basin has rapidly developed, and the agricultural economy has made significant contributions to China. Therefore, it is of far-reaching significance to study the influence of meteorological disasters in the Yangtze River Basin. Using information diffusion theory, this research analyses the impacts of five frequent natural disasters (floods, drought, convective storms, low temperatures, and typhoons) on selected areas from 2001 to 2006 (Shanghai, Jiangsu, Anhui, Jiangxi, Hunan, Hubei, Chongqing, Sichuan, Yunnan, Tibet, and Qinghai). Three agricultural indicators: affected area (A), covered area (C), and demolished area (D), are adopted to illustrate the economic losses caused by natural disasters. The method based on the analytic hierarchy process (AHP) framework is used to calculate the weights of the five disaster categories. The results are that Shanghai is severely affected by typhoons; Jiangsu, Anhui, Jiangxi, Hubei, Chongqing, Tibet, and Hunan are under the highest pressure of floods; Yunnan and Qinghai are under the strongest influence of droughts. Generally, agriculture production in the Yangtze River Basin is greatly affected by flood and drought disasters. Finally, some suggestions for dealing with meteorological disasters are proposed.

Suggested Citation

  • Yu Xiaobing & Li Chenliang & Huo Tongzhao & Ji Zhonghui, 2021. "Information diffusion theory-based approach for the risk assessment of meteorological disasters in the Yangtze River Basin," 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(3), pages 2337-2362, July.
    • Handle: RePEc:spr:nathaz:v:107:y:2021:i:3:d:10.1007_s11069-020-04418-6
    DOI: 10.1007/s11069-020-04418-6
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    1. Lu Hao & Xiaoyu Zhang & Shoudong Liu, 2012. "Risk assessment to China’s agricultural drought disaster in county unit," 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. 61(2), pages 785-801, March.
    2. Di Wu & Deng-Hua Yan & Gui-Yu Yang & Xiao-Gang Wang & Wei-Hua Xiao & Hai-Tao Zhang, 2013. "Assessment on agricultural drought vulnerability in the Yellow River basin based on a fuzzy clustering iterative 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. 67(2), pages 919-936, June.
    3. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density 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. 83(3), pages 1605-1634, September.
    4. Zhao, Gang & Bryan, Brett A. & Song, Xiaodong, 2014. "Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters," Ecological Modelling, Elsevier, vol. 279(C), pages 1-11.
    5. Elfreda A. Chatman, 1986. "Diffusion theory: A review and test of a conceptual model in information diffusion," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(6), pages 377-386, November.
    6. Hao, Lu & Yang, Li-Zhe & Gao, Jing-Min, 2014. "The application of information diffusion technique in probabilistic analysis to grassland biological disasters risk," Ecological Modelling, Elsevier, vol. 272(C), pages 264-270.
    7. Yang, Xuan & Zheng, Lina & Yang, Qian & Wang, Zikui & Cui, Song & Shen, Yuying, 2018. "Modelling the effects of conservation tillage on crop water productivity, soil water dynamics and evapotranspiration of a maize-winter wheat-soybean rotation system on the Loess Plateau of China using," Agricultural Systems, Elsevier, vol. 166(C), pages 111-123.
    8. Ming Zhong & Jiao Wang & Liang Gao & Kairong Lin & Yang Hong, 2019. "Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2537-2553, May.
    9. Xiaojing Liu & Jiquan Zhang & Donglai Ma & Yulong Bao & Zhijun Tong & Xingpeng Liu, 2013. "Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, 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. 65(3), pages 1393-1409, February.
    10. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
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