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GIS-Based Risk Assessment of Hail Disasters Affecting Cotton and Its Spatiotemporal Evolution in China

Author

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  • Lin Wang

    (School of Geography, Beijing Normal University, Beijing 100875, China)

  • Guofang Hu

    (School of Geography, Beijing Normal University, Beijing 100875, China)

  • Yaojie Yue

    (School of Geography, Beijing Normal University, Beijing 100875, China
    State key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)

  • Xinyue Ye

    (Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Min Li

    (School of Geography, Beijing Normal University, Beijing 100875, China)

  • Jintao Zhao

    (Langfang Normal College, Langfang 065000, China)

  • Jinhong Wan

    (China Institute of Water Resources and Hydropower Research, Beijing 100048, China)

Abstract

Understanding the spatiotemporal distribution pattern of hail disaster risk for cotton is crucial in mitigating hail disaster and promoting the sustainability of cotton farming. Based on such indexes as hail disaster frequency, spatiotemporal exposure, and vulnerability of cotton, we assess hail disaster risk for cotton, and analyze its spatiotemporal pattern and evolution in Mainland China from 1950 to 2009, supported by geographic information system (GIS). The following conclusions are drawn: (1) The proposed risk assessment method reveals the spatiotemporal difference of hail disaster risk for cotton at the county level. (2) Hail disaster risk for cotton is low in China, except for north of the North China Plain and the cotton-planting areas in Xinjiang Uygur Autonomous Region. From 1950 to 2009, hail disaster risk for cotton gradually increased. (3) The descending orders of hail disaster risk levels for cotton are bud stage, seedling stage, sowing and seeding stage, boll stage, and boll opening stage. The growth period with the highest risk varies across the cotton-planting areas. (4) The results of this paper are important for developing hail disaster prevention and reduction measures.

Suggested Citation

  • Lin Wang & Guofang Hu & Yaojie Yue & Xinyue Ye & Min Li & Jintao Zhao & Jinhong Wan, 2016. "GIS-Based Risk Assessment of Hail Disasters Affecting Cotton and Its Spatiotemporal Evolution in China," Sustainability, MDPI, vol. 8(3), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:3:p:218-:d:64730
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    References listed on IDEAS

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    1. Jeffrey Vitale & Marc Ouattarra & Gaspard Vognan, 2011. "Enhancing Sustainability of Cotton Production Systems in West Africa: A Summary of Empirical Evidence from Burkina Faso," Sustainability, MDPI, vol. 3(8), pages 1-34, July.
    2. Yang Zhou & Yansui Liu & Wenxiang Wu & Ning Li, 2015. "Integrated risk assessment of multi-hazards in 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. 78(1), pages 257-280, August.
    3. Xiaorui Zhang & Zhenbo Wang & Jing Lin, 2015. "GIS Based Measurement and Regulatory Zoning of Urban Ecological Vulnerability," Sustainability, MDPI, vol. 7(8), pages 1-19, July.
    4. G. Berz & W. Kron & T. Loster & E. Rauch & J. Schimetschek & J. Schmieder & A. Siebert & A. Smolka & A. Wirtz, 2001. "World Map of Natural Hazards – A Global View of the Distribution and Intensity of Significant Exposures," 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. 23(2), pages 443-465, March.
    5. Tai-Li Lee & Ching-Ho Chen & Tzu-Yi Pai & Ray-Shyan Wu, 2015. "Development of a Meteorological Risk Map for Disaster Mitigation and Management in the Chishan Basin, Taiwan," Sustainability, MDPI, vol. 7(1), pages 1-26, January.
    6. Melanie Gall & Kevin A. Borden & Christopher T. Emrich & Susan L. Cutter, 2011. "The Unsustainable Trend of Natural Hazard Losses in the United States," Sustainability, MDPI, vol. 3(11), pages 1-25, November.
    7. Sarah Velten & Julia Leventon & Nicolas Jager & Jens Newig, 2015. "What Is Sustainable Agriculture? A Systematic Review," Sustainability, MDPI, vol. 7(6), pages 1-33, June.
    8. Maxx Dilley & Robert S. Chen & Uwe Deichmann & Arthur L. Lerner-Lam & Margaret Arnold, 2005. "Natural Disaster Hotspots: A Global Risk Analysis," World Bank Publications - Books, The World Bank Group, number 7376.
    9. R. Leigh & I. Kuhnel, 2001. "Hailstorm Loss Modelling and Risk Assessment in the Sydney Region, Australia," 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. 24(2), pages 171-185, September.
    10. Heather McMaster, 2001. "Hailstorm Risk Assessment in Rural New South Wales," 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. 24(2), pages 187-196, September.
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    1. Feng Zhang & Jingwei Zhou & Renyi Liu & Zhenhong Du & Xinyue Ye, 2016. "A New Design of High-Performance Large-Scale GIS Computing at a Finer Spatial Granularity: A Case Study of Spatial Join with Spark for Sustainability," Sustainability, MDPI, vol. 8(9), pages 1-19, September.

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