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

Author

Listed:
  • 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

    as
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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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