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湖北省棉花洪涝灾害风险分析
高静1,2, 侯双双2, 姜会飞2, 霍治国3, 潘学标2, 毛飞3, 肖静2, 廖树华4, 卢志光2
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(1.国家气象信息中心,北京 100081;2.中国农业大学 资源与环境学院,北京 100193;3.中国气象科学研究院,北京 100081;4.中国农业大学 农学与生物技术学院,北京 100193)
摘要:
为准确和定量的评估洪涝灾害对棉花造成的风险,减少洪涝灾害对湖北省棉花造成严重影响和重大损失,以湖北省3个农业气象观测站近30年的气象资料和生育期资料,对湖北省洪涝风险进行了研究。结果表明:洪涝指数与降水距平百分率和降水标准化序列相关性显著。洪涝指数的计算过程涉及多个参数,运算过程复杂,而降水距平百分率和降水标准化计算相对容易,且数据容易获得,所以定义降水距平百分率或降水标准化作为划分洪涝致灾的指标。以此指标将洪涝导致减产的风险数值化,得到因洪涝导致减产的风险值分别为:襄樊10.5%,麻城16.1%,荆州4.2%。麻城棉花风险值最大,需要做好洪涝的防范措施。
关键词:  洪涝致灾指标  变异系数  风险指数  湖北  棉花
DOI:10.11841/j.issn.1007-4333.2011.03.010
投稿时间:2010-07-04
基金项目:国家"十一五"科技支撑项目(2008BAK50B02); 教育部高等学校科技创新工程重大项目培育资金项目(708013);国家"十一五"科技支撑项目(2007BAC29B05)
Flood risk analysis in cotton for Hubei Province
GAO Jing1,2, HOU Shuang-shuang2, JIANG Hui-fei2, HUO Zhi-guo3, PAN Xue-biao2, MAO Fei3, XIAO Jing2, LIAO Shu-hua4, LU Zhi-guang2
(1.National Meteorological Information Centre,Beijing 100081,China;2.College of Resources and Environment Sciences,China Agricultural University,Beijing 100193,China;3.Chinese Academy of Meteorological Sciences,Beijing 100081,China;4.College of Agronomy and Biotechnology,China Agricultural University,Beijing 100193,China)
Abstract:
In order to estimate flood risk posed to cotton accurately and quantitatively,and reduce the heavy losses of cotton due to flooding in Hubei Province,the risk of flooding is studied based upon the meteorological and cotton data in nearly 30 years from three stations of this province.The results showed that flooding index was significantly correlated with precipitation anomaly percentage and standardization precipitation.It was easy to obtain precipitation anomaly percentage and standardized precipitation.But it was more difficult to calculate the flooding index since they contained a number of parameters.The precipitation anomaly percentage was therefore defined as the flood hazard standard.Based upon the weighted flood standards during cotton growth period,the numerical data of flooding risk were as foloowing:Xiangfan10.5%,Macheng 16.1%,Jingzhou 4.2%.It was evident that Macheng cotton was at the highest risk and needed to take measures.
Key words:  flood hazard standard  coefficient of variation  risk index  Hubei  cotton