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Functional Spectral Analysis of Paleoclimatic Evolution in Lanzhou Area over the Last 15 ka
作者姓名:杨桂芳  殷鸿福  李长安  陈中原
作者单位:[1]EastChinaNormalUniversity,Shanghai200062,China [2]ChinaUniversityofGeosciences,Wuhan430074,China
基金项目:GrantedbytheNationalNaturalScienceFoundationofChina (No .4 9972 0 5 7)
摘    要:In this paper, we make use of the functional spectral analysis to infer the periodicity of paleoelimate in the Hongzuisi section since about 15 ka. Through combined analysis of organic carbon isotope and CaCO3 content, the law of paleoclimatic evolution of the Hongzuisi section is obtained. There were climatic changes from 10 ka to about 0.1 ka over the last 15 ka. Among these cycles, the cycle of several ka is most remarkable. The result indicates that functional spectral analysis is helpful for paleoclimatic study, which can provide useful information about paleoclimatic reconstruction and future forecast.

关 键 词:paleoclimatic  evolution  functional  spectral  analysis  organic  carbon  isotope  CaC03  content

Functional spectral analysis of paleoclimatic evolution in Lanzhou area over the last 15 ka
Yang Guifang,Yin Hongfu,Li Chang’an,Chan Zhongyuan.Functional Spectral Analysis of Paleoclimatic Evolution in Lanzhou Area over the Last 15 ka[J].Chinese Journal of Geochemistry,2003,22(4):377-380.
Authors:Yang Guifang  Yin Hongfu  Li Chang’an  Chan Zhongyuan
Institution:(1) East China Normal University, 200062 Shanghai, China;(2) China University of Geosciences, 430074 Wuhan, China
Abstract:In this paper, we make use of the functional spectral analysis to infer the periodicity of paleoclimate in the Hongzuisi section since about 15 ka. Through combined analysis of organic carbon isotope and CaCO\-3 content, the law of paleoclimatic evolution of the Hongzuisi section is obtained. There were climatic changes from 10 ka to about 0.1 ka over the last 15 ka. Among these cycles, the cycle of several ka is most remarkable. The result indicates that functional spectral analysis is helpful for paleoclimatic study, which can provide useful information about paleoclimatic reconstruction and future forecast.
Keywords:paleoclimatic evolution  functional spectral analysis  organic carbon isotope  CaCO\-3 content
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