globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6002305
论文题名:
全新世东亚夏季风演化的多尺度周期变化及其可能机制探讨
其他题名: MULTI-TIME SCALE ANALYSIS OF EAST ASIAN SUMMER MONSOON AND ITS POSSIBLE MECHANISM DURING HOLOCENE
作者: 张志平; 黄伟; 陈建徽; 刘建宝; 魏海涛; 陈发虎
刊名: 第四纪研究
ISSN: 1001-7410
出版年: 2017
卷: 37, 期:3, 页码:327-335
语种: 中文
中文关键词: 全新世 ; 东亚夏季风 ; 变化周期 ; 变化机制
英文关键词: Holocene ; East Asian Summer Monsoon ; variation periodicity ; variation mechanisms
WOS学科分类: METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向: Meteorology & Atmospheric Sciences
中文摘要: 在全球变暖背景下,东亚夏季风发生极端变化所带来的大区域洪涝或干旱灾害的频率会增加,认识东亚夏季风的变化规律具有重要意义。本文利用已经发表的全新世东亚夏季风变化资料,使用集合经验模态分解(EEMD)、小波分析、频谱分析等手段,探讨全新世东亚夏季风多尺度演变周期及可能的驱动机制,取得以下认识:1)全新世东亚夏季风存在不同时间尺度的波动周期,即千年时间尺度上存在约2000年和4000年的周期波动;百年时间尺度上存在约200年、400年及约700年的周期波动;年代际时间尺度上,晚全新世出现约66年的显著周期。2)东亚夏季风在不同时间尺度上演变的主导驱动因子存在差异,即在约2000年波动周期上主要受控于厄尔尼诺-南方涛动(ENSO)大尺度变化的调控;百年时间尺度上与太阳活动密切相关,主要表现在约200年和700年的周期波动上;年代际时间尺度上,晚全新世东亚夏季风变化主要受控于大西洋多年代际震荡(AMO)调控。本研究可为进一步深入理解东亚夏季风变化的动力机制提供基础。
英文摘要: With the continued global warming,the frequency of flood or drought disaster caused by extreme changes of East Asian Summer Monsoon (EASM) will increase,thus it is important to investigate the variability of the EASM on various time-scales and to explore its underlying forcing mechanisms. In order to figure out aforementioned problem,we chose the recently-published quantitative precipitation reconstruction from Gonghai Lake (38°54'N,112°14'E),a hydrologically-closed alpine lake,which is located on the northeastern margin of the Chinese Loess Plateau,northern China,a typical EASM dominated region. The lake sediment core (GH09B) is from the central part of Gonghai Lake and the age model is based on a combination of ~(210)Pb/~(137)Cs dating of the uppermost 0.35m and 25 accelerator mass spectrometry (AMS) ~(14)C dates of terrestrial plant macrofossils,all converted to calendar years which spans the last 14.7cal.ka B.P.,and the resulting record was used to reconstruct annual precipitation change in northern China based on state-of-the-art quantitative paleoecological techniques, a modern pollen reference dataset for China (2689 samples) and fossil pollen assemblages from the lake (771 samples with an average temporal resolution of ca.20a). The Gonghai Lake record can be regarded as a direct and highly reliable record of changes in EASM intensity. In this paper,we utilized aforementioned EASM record and methods of Ensemble Empirical Mode Decomposition (EEMD),wavelet analysis and spectral analysis to explore the various EASM variation periodicity on different time scales and the possible driving mechanism during Holocene. we obtained 7 Intrinsic Mode Function (IMF) component (corresponding to the 7 main periods) and a Residue (Res). Different components of the IMF wavelet analysis shows that the IMF 1 component in the time domain did not show periodic change continuously, and the continuous periodic signal occurred mainly in the Late Holocene,and the periodicity of the IMF 1 from 0 to 3cal.ka B.P. based on spectral analysis showed that the significant period is about 66 years. The periodicity of IMF 2~IMF 7 components are relatively continuous in the Holocene. Judging from the Res, the EASM has a significant decreasing trend in the Holocene. In summery, Holocene EASM varied with 2000-year-period and 4000-year-period on millennium time scale and fluctuated with 200-year, 400-year and 700-year cycles on century time scale. A distinct ca. 66-year-cycle of EASM intensity variations happened on decadal time scale during Late Holocene. Furthermore our results suggested that on the millennium time scale,the EASM intensity with about 2000-year-period is mainly controlled by the large oscillations of the El Nino Southern Oscillation (ENSO) by comparing two curves of ENSO and EASM which obtained by Fast Fourier Transform (FFT) band-pass filter (0.00050.000025 HZ) respectively, which can both are controlled by solar activity; While on the century time scale,the EASM and solar activity has a good corresponding relation in the IMF 2 and IMF 4 components,on the periodicity of about 200 years and 700 years,the EASM and solar activity maintain the same phase fluctuation,may indicate that the solar activity is the main control factor driving EASM; On decadal time scale,we used FFT band-pass filter to abtain EASM and AMO sequence fluctuation curve about 70 years (0.0150.0025HZ) period, results showed that both phase change is consistent,the warm phase AMO corresponds to the strong EASM, and vice versa. This study gives access to further understanding the dynamic mechanism of EASM changes.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/152376
Appears in Collections:气候变化事实与影响

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作者单位: 兰州大学资源环境学院, 西部环境教育部重点实验室, 兰州, 甘肃 730000, 中国

Recommended Citation:
张志平,黄伟,陈建徽,等. 全新世东亚夏季风演化的多尺度周期变化及其可能机制探讨[J]. 第四纪研究,2017-01-01,37(3):327-335
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