[1]鞠英芹,杨霏云,马德栗,等.江淮地区油菜渍害的时空分析[J].自然灾害学报,2017,(06):136-146.[doi:10.13577/j.jnd.2017.0616]
 JU Yingqin,YANG Feiyun,MA Deli,et al.Temporal and spatial analysis of rape waterlogging in Jianghuai region[J].,2017,(06):136-146.[doi:10.13577/j.jnd.2017.0616]
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江淮地区油菜渍害的时空分析
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
期数:
2017年06期
页码:
136-146
栏目:
出版日期:
2017-12-08

文章信息/Info

Title:
Temporal and spatial analysis of rape waterlogging in Jianghuai region
作者:
鞠英芹1 杨霏云2 马德栗3 朱晓炜4 罗蒋梅2 李文科2
1. 中国气象局气象干部培训学院湖北分院, 湖北 武汉 430000;
2. 中国气象局气象干部培训学院, 北京 100081;
3. 武汉区域气候中心, 湖北 武汉 430000;
4. 宁夏回族自治区气候中心, 宁夏 银川 750000
Author(s):
JU Yingqin1 YANG Feiyun2 MA Deli3 ZHU Xiaowei4 LUO Jiangmei2 LI Wenke2
1. Hubei Branch of China Meteorological Administration Training Centre, Wuhan 430000, China;
2. China Meteorological Administration Training Centre, Beijing 100081, China;
3. Wuhan Region Climate Center, Wuhan 430000, China;
4. Ningxia Climate Centre, Yinchuan 750000, China
关键词:
江淮地区油菜涝渍指数经验正交函数分析小波分析
Keywords:
Jianghuai regionrapewaterlogging indexEmpirical Orthogonal Function (EOF)wavelet analysis
分类号:
S42;X43
DOI:
10.13577/j.jnd.2017.0616
摘要:
利用江淮地区43个气象台站1960—2010年10月—翌年5月的降水量和日照资料,构建了江淮地区全生育期油菜涝渍综合指标,并对其进行了经验正交函数分解和小波分析。结果表明,油菜涝渍在播种期至冬前苗期、越冬期至抽薹期、开花期至灌浆期的第一模态的空间分布呈全区一致型,第二模态显示前两个发育期阶段呈现"东西分布型"而开花期至灌浆期呈现"南北分布型",第三模态都呈现"南北分布型"。越冬期至抽薹期在第一模态时间系数有略微上升趋势,其余发育期均呈下降趋势。对第一模态的时间系数进行小波分析发现,江淮地区油菜涝渍存在多时间尺度特征,而且播种期至冬前苗期最显著的周期是准3年,越冬期至抽薹期和开花期至灌浆期最显著的周期均为准4年,从而为油菜涝渍的监测、评估、区划提供科学依据。
Abstract:
Based on the rainfall and sunshine data from October to May of the next year from 1960 to 2010 in 43 meteorological stations in Jianghuai Region, the waterlogging index for rape is calculated and the comprehensive index of sowing period-seeding period, wintering period-bolting period and flowering period-filling period is built, and the index is analyzed by Empirical Orthogonal Function and Wavelet Analysis methods. The results show that waterlogging index for rape mainly assumes the spatial distribution patterns in a whole consistency in sowing period-seeding period, wintering period-bolting period and flowering period-filling period. The second mode shows a east-west distribution type in the first two periods and a north-south distribution type in flowering period-filling period. The third mode shows a north-south distribution type. Time coefficient has characteristics of annual variation. Time coefficient has a slight tendency for descend, except in wintering period-bolting period. It was found by wavelet analysis the temporal coefficient of the first eigenvector significantly that three years period is significant in sowing period-seeding period, and four years period is significant in wintering period-bolting period and flowering period-filling period. The results would provide a scientific basis for monitoring, evaluation and regionalization of rape waterlogging.

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相似文献/References:

[1]田红.江淮地区极端气候事件的时空变化特征[J].自然灾害学报,2007,(06):036.
 TIAN Hong.Spatiotemporal change characteristics of extreme climate events in Changjiang-Huaihe Area[J].,2007,(06):036.

备注/Memo

备注/Memo:
收稿日期:2016-12-29;改回日期:2017-03-03。
基金项目:公益性行业(气象)科研专项(GYHY201306052;GYHY201406028)
作者简介:鞠英芹(1985-),女,工程师,硕士,主要从事农业气象灾害研究.E-mail:juyingqin@126.com
通讯作者:杨霏云(1972-),女,副教授,硕士,主要从事农业气象灾害监测评估研究.E-mail:yangfy@cma.gov.cn
更新日期/Last Update: 1900-01-01