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Natural Hazards

, Volume 61, Issue 2, pp 785–801 | Cite as

Risk assessment to China’s agricultural drought disaster in county unit

  • Lu HaoEmail author
  • Xiaoyu Zhang
  • Shoudong Liu
Original Paper

Abstract

China faces drought disaster risk under the changing climate. Risk analysis is a suitable approach in order to design ex-ante measure able to anticipate effects of drought on agricultural production. In this article, with the support of historic drought disaster data from 583 agro-meteorological observations (1991–2009), a risk analysis method based on information diffusion theory was applied to create a new drought risk analysis model, and the risk of China’s agriculture drought disaster was evaluated on higher spatial resolution of county unit. The results show that in more than three hundred counties of China, risk probability was biyearly or annually when Drought Affected Index (DAI) was over 5%. When DAI was up to 40%, more than one hundred counties were prone to drought disaster annually or once every 5 years. This showed that the impact of drought disaster on China’s agriculture, whether in frequency or intensity, was large. With the different level of DAI, China’s agricultural drought risk pattern showed variable pattern characteristics. When DAI was low, the distribution of county agricultural drought risk in China presented the East–West pattern of differentiation, and high risk mainly lied in the eastern, low risk mainly in the western. On the other hand, when DAI was high, the distribution of county risk appeared a pattern of high in center, and the north areas higher than the south, increased gradually from southwest to northeast. Drought risk presents a clear zonal differentiation that may be result from stepped topography, different precipitation and hazard-affected bodies. Spread of high value area of drought risk in northern may be related to the southeast monsoon and ecological degradation in northern Ecotone.

Keywords

Information diffusion County unit Agro-meteorological data Agriculture risk 

Notes

Acknowledgments

This work was financed by Chinese Special Fund for Meteorological-Scientific Research in the Public Interest (No. GYHY201106025) and Chinese Special Fund for Scientific Research in the Public Interest (No. 2005DIB3J103). The authors are thankful to the China Meteorological Administration for their assistance in data sharing. We also thank the anonymous reviewers of an earlier version of this paper for their very helpful comments and suggestions.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Jiangsu Key Lab of Agricultural MeteorologyNanjing University of Information Science and TechnologyNanjingPeople’s Republic of China
  2. 2.College of Applied MeteorologyNanjing University of Information Science and TechnologyNanjingPeople’s Republic of China
  3. 3.Ningxia Institute of Meteorological ScienceYinchuanPeople’s Republic of China

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