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基于SVD和修正Z指数的汛期旱涝预测及其应用
  • ISSN号:1006-9585
  • 期刊名称:《气候与环境研究》
  • 时间:0
  • 分类:P467[天文地球—大气科学及气象学]
  • 作者机构:[1]安徽省气象科学研究所,合肥230031, [2]安徽省大气科学与卫星遥感重点实验室,合肥230031, [3]合肥市气象局,合肥230031
  • 相关基金:国家自然科学基金项目40675001; 安徽省科技攻关计划07010202058; 合肥市重点科研项目“基于SVD的合肥地区汛期旱涝气候预测研究应用”
中文摘要:

利用奇异值分解(SVD)方法、500hPa高度场、太平洋海温场和降水资料,建立起汛期降水的预测方程;经过适应本地化的Z指数修正,将预测结果转化为旱涝等级;将SVD技术与修正的Z指数结合起来,实现旱涝的气候预测;将研究成果推广应用到气象、防汛抗旱部门。结果表明:1)影响江淮分水岭地区汛期降水的因子有5个,分别是太平洋地区2个,印度半岛附近2个,欧洲地区1个;2)理论上的Z指数等级不符合江淮分水岭地区的实际状况,因而必须对Z指数进行修正。经过修正后的各个旱涝等级的划分概率较为合理,说明Z指数的5级指标是可靠的;3)利用5个影响因子可以建立汛期降水量与影响因子之间的预报方程,在共计8年的旱涝滚动预测和实况检验中,等级相符的有7年,只有2003年的预测试验相差一个等级,5级的预测准确率达到87.5%;4)经过气象、防汛抗旱部门2008年的应用,旱涝等级的预测意见和实际基本吻合,说明预测技术的应用情况良好。

英文摘要:

A forecast equation for drought/flood during the flood season is established,by using the Singular Value Decomposition (SVD) and the data of 500-hPa height field,Sea Surface Temperature(SST) in the Pacific Ocean,and precipitation. Prediction results are transformed into drought/flood grade after the modified Z-index is used. SVD method combined with modified Z-index is used to predict the drought and flood trend. The results are used in the meteorological department,the flood prevention and drought resisting department. The results are as follows:1) There are five factors affecting the precipitation during the flood season in the Changjiang-Huaihe watershed. Two factors are in the Pacific region,two near the Indian Peninsula,and one around Europe. 2) The theoretical Z-index grade is not suitable for the Changjiang-Huaihe watershed,so Z-index has to be modified. Modified Z-index is more reasonable,which shows that the five grades of Z-index are reliable. 3) By using the above five factors,the prediction equation between the precipitation during the flood season and the effective factors is established. Among the drought/flood rolling prediction and practical test,the match grades can be seen in eight years,except 2003. The accuracy of the five grade reaches 87.5%. 4) According to the application in the meteorological department,the flood prevention and drought resisting department,the prediction opinions are in agreement with practical situation,which proves the application of the technology is in good condition.

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期刊信息
  • 《气候与环境研究》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院大气物理研究所
  • 主编:李崇银
  • 地址:北京9804信箱
  • 邮编:100029
  • 邮箱:qhhj@mail.iap.ac.cn
  • 电话:010-82995048/9 82995049
  • 国际标准刊号:ISSN:1006-9585
  • 国内统一刊号:ISSN:11-3693/P
  • 邮发代号:
  • 获奖情况:
  • 中国科技论文统计分析数据库源期刊
  • 国内外数据库收录:
  • 日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:11824