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Sustainability 2016, 8(3), 218; doi:10.3390/su8030218

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

1
School of Geography, Beijing Normal University, Beijing 100875, China
2
State key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
3
Department of Geography, Kent State University, Kent, OH 44242, USA
4
Langfang Normal College, Langfang 065000, China
5
China Institute of Water Resources and Hydropower Research, Beijing 100048, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Vincenzo Torretta
Received: 15 December 2015 / Revised: 21 February 2016 / Accepted: 22 February 2016 / Published: 29 February 2016
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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. View Full-Text
Keywords: hail disasters; cotton; risk assessment; spatial distribution; growth periods; dynamic variation; GIS hail disasters; cotton; risk assessment; spatial distribution; growth periods; dynamic variation; GIS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, L.; Hu, G.; Yue, Y.; Ye, X.; Li, M.; Zhao, J.; Wan, J. GIS-Based Risk Assessment of Hail Disasters Affecting Cotton and Its Spatiotemporal Evolution in China. Sustainability 2016, 8, 218.

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