| 相关和频谱分析法在岩溶系统中的应用研究综述 |
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| 引用本文： | 李建鸿,蒲俊兵,张陶,王赛男.相关和频谱分析法在岩溶系统中的应用研究综述[J].中国岩溶,2020,39(3):335-344. |
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| 作者姓名： | 李建鸿 蒲俊兵 张陶 王赛男 |
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| 作者单位： | 1.中国地质科学院岩溶地质研究所/自然资源部、广西岩溶动力学重点实验室，广西 桂林 541004 |
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| 基金项目： | 国家重点研发计划项目课题“断陷盆地生态环境地质分异及石漠化演变机理”(2016YFC0502501)；中国地质科学院基础科研业务费(2017006，JYYWF20182801)；广西自然科学基金项目“岩溶环境学”（2017GXNSFFA198006） |
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| 摘 要： | 岩溶含水层由多重含水介质组成，具有高度的非均质性，从系统角度出发，将岩溶系统看作是一个过滤器，将降雨作为输入信号，泉流量、水位、电导率、浊度等物理化学参数作为输出量进行相关和频谱分析是认识岩溶系统内部结构特征的有效方法。文章综述了相关和频谱分析法在岩溶系统研究中的应用，首先介绍了相关和频谱分析法基本理论的形成、发展过程和研究意义，然后总结了如何根据不同的研究目的选择相关和频谱分析法使用的时间序列的长度、周期和类型，最后阐述了该方法应用于岩溶系统分析的局限性。
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| 关 键 词： | 岩溶系统 相关分析 频谱分析 时间序列 |
Review on application of correlation and spectrum analyses in karst system research |
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| LI Jianhong,PU Jubing,ZHANG Tao,WANG Sainan.Review on application of correlation and spectrum analyses in karst system research[J].Carsologica Sinica,2020,39(3):335-344. |
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| Authors: | LI Jianhong PU Jubing ZHANG Tao WANG Sainan |
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| Institution: | 1.Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR& GZAR, Guilin, Guangxi 541004,China2.Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR& GZAR, Guilin, Guangxi 541004,China/Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715,China |
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| Abstract: | The karst aquifer consists of multiple water-bearing media thus is highly heterogeneous. It can be regarded as a filter, in which rainfall is input, physical and chemical parameters such as spring flow, water level, conductivity, and turbidity are output, which can be analyzed by the correlation and spectrum methods. This paper presents a review on this issue. Firstly, it introduces the formation, development process of the basic theory and research significance of correlation and spectrum analyses. Then it summarizes how to select the length, period and type of time series used in correlation and spectrum analyses according to different research purposes. Finally, it points out the limitations of these methods in application to karst system research. |
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| Keywords: | karst system correlation analysis spectrum analysis time series |
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