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

Sustainability

Jinhong Wan¹  Xinyue Ye²  Jintao Zhao³  Guofang Hu⁴  Min Li⁴  Lin Wang⁴  Yaojie Yue⁴ 

[1] China Institute of Water Resources and Hydropower Research, Beijing 100048, China;Department of Geography, Kent State University, Kent, OH 44242, USA;Langfang Normal College, Langfang 065000, China;School of Geography, Beijing Normal University, Beijing 100875, China;

关键词: hail disasters;    cotton;    risk assessment;    spatial distribution;    growth periods;    dynamic variation;    GIS;   

DOI  :  10.3390/su8030218

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown