[1]李勇,刘秀明,王世杰,等.1961-2017年贵州降水时空变化特征[J].水土保持研究,2019,26(06):145-150.
 LI Yong,LIU Xiuming,WANG Shijie,et al.Temporal and Spatial Distribution of Precipitation in Guizhou Province from 1961 to 2017[J].,2019,26(06):145-150.
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1961-2017年贵州降水时空变化特征()
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《水土保持研究》[ISSN:1005-3409/CN:61-1272/P]

卷:
26卷
期数:
2019年06期
页码:
145-150
栏目:
出版日期:
2019-10-17

文章信息/Info

Title:
Temporal and Spatial Distribution of Precipitation in Guizhou Province from 1961 to 2017
作者:
李勇123 刘秀明23 王世杰23 曹乐123 张志才4
1. 中国科学院大学, 北京 100049;
2. 中国科学院 地球化学研究所 环境地球化学国家重点实验室, 贵阳 550081;
3. 中国科学院 普定喀斯特生态系统观测研究站, 贵州 普定 562100;
4. 河海大学 水文水资源与水利工程科学国家重点实验室, 南京 210098
Author(s):
LI Yong123 LIU Xiuming23 WANG Shijie23 CAO Le123 ZHANG Zhicai4
1. University of Chinese Academy of Sciences, Beijing 100049, China;
2. State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China;
3. Puding Karst Ecosystem Research Station, Chinese Academy of Sciences, Puding, Guizhou 562100, China;
4. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
关键词:
降水EOF分析法时空分异
Keywords:
precipitationmethod of empirical orthogonal function analysisspatial and temporal variation
分类号:
P426.6
摘要:
为研究贵州地区降水的时空演变规律,根据贵州省84个气象站1961-2017年的降水量资料,利用EOF和REOF方法、Mann-Kendall检验、Cramer法、YAMAMOTO法和滑动t检验及Morlet小波分析法,对贵州地区57年来降水的空间分布、时间系数变化特征和时间序列的趋势性、突变性及周期性进行了分析。结果表明:EOF方法可以很好地解释降水场的时空分布特征,前2个特征向量累计贡献率达50.08%,揭示了两种典型的分布场,即全局型和东西反向型。分析特征向量所对应的时间系数,贵州省的降水场主要表现为全省多雨、全省少雨、东多西少、东少西多4种类型,REOF可将贵州降水场分为东西部两个区域,通过Mann-Kendall检验发现均存在降水减少的突变,并通过Cramer法、YAMAMOTO法和滑动t检验对结果进行验证,发现Ⅱ区比Ⅰ区降水突变明显。Morlet小波分析表明,贵州地区降水存在着显著的28 a周期变化。
Abstract:
In order to study the temporal and spatial evolution process of precipitation in Guizhou Province, according to the precipitation data of 84 weather stations from 1961 to 2017, we analyzed time series trends, periodicity, mutation and spatial distribution of the precipitation of the Guizhou Province in the recent 57 years, by using the methods of EOF, REOF, Mann-Kendall, Cramer, YAMAMOTO, t checking and Morlet analysis. The results show the EOF method is capable for revealing the spatial and temporal distributions of precipitation field. The accumulated contribution of the first two EOF can reach to 50.08%, and reflect two typical vector distribution fields, which is the whole region pattern and east-west reverse pattern. Analysis of the eigenvector of the corresponding time factor coefficient demonstrates that the precipitation fields of the Guizhou Province mainly exhibite four types, abundant rain in whole province, less rain in whole province, abundant rain in east and less rain in west, less rain in east and abundant rain in west. On the basis of the REOF of rainfall, the Guizhou Province could be divided into two regions, east part and west part. Mutation is found in rainfall trend by Mann-Kendall test. Verification by the methods of Cramer, YAMAMOTO and t checking, indicates that the abrupt change of precipitation in zone Ⅱ is more obvious than zone t. Morlet wavelet analysis suggests that there is a strong 28-year period of the precipitation in Guizhou Province.

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备注/Memo

备注/Memo:
收稿日期:2018-12-08;改回日期:2019-01-19。
基金项目:国家重点研发计划项目(2016YFC0502300);贵州省高层次创新型人才培养计划"十"层次人才项目(黔科合平台人才[2016]5648)
作者简介:李勇(1986-),男,山东菏泽人,博士研究生,研究方向为生物地球化学。E-mail:xidaly@qq.com
通讯作者:刘秀明(1974-),男,广西桂林人,博士,研究员,主要从事生物地球化学研究。E-mail:liuxiuming@vip.skleg.cn
更新日期/Last Update: 1900-01-01