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首页> 外文会议>International Conference on Remote Sensing, Environment and Transportation Engineering >Correlation Analysis between Sea-level Change of China's Coastal Areas and the Mass Change of Antarctic Ice Caps
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Correlation Analysis between Sea-level Change of China's Coastal Areas and the Mass Change of Antarctic Ice Caps

机译：中国沿海地区海平变迁与南极冰盖群众变迁的相关分析

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摘要

Impact of sea-level change on coastal areas has long been a concern of the world, especially the coastal countries. It is an important part in the research of the marine environment. Sea-level change is caused by various social and environmental reasons, among which the contribution of the Antarctic ice caps mass change is a significant factor. In order to investigate the correlation between sea-level change of Chinese coastal areas and the Antarctic ice caps mass change, several geo-statistical methods were involved in this paper. The Antarctic equivalent water height and sea level anomaly datasets were applied. First, the periods of the two datasets above-mentioned are found though the spectrum analysis and a further analysis of these periods is made. Then the correlation analysis is carried out using the time series which span from January 2004 to March 2010. Through the rapid inverse Fourier transform we obtained the cross-correlation function, drew cross-correlation function diagram and analyzed correlation degree and the lag time of these two time series. Research shows that (1) the sea level change has a year cycle as the leading period, meanwhile equivalent water height change has a half year cycle as the leading factor and display a complicated multi-scale coupling fluctuation characteristic; (2) The cross-correlation function diagram indicates that these two time series highly positive correlated when the lag time is 8 month and highly negative correlated when the lag time is 26 month. There is a teleconnection between these two events.
机译：海平变革对沿海地区的影响长期以来一直是世界，特别是沿海国家的关注。这是海洋环境研究的重要组成部分。海平变革是由各种社会和环境的原因引起的，其中南极冰盖块质量变化的贡献是一个重要因素。为了调查中国沿海地区海平变化与南极冰盖群众变化的相关性，本文涉及几种地理统计方法。应用南极等效水高度和海平面异常数据集。首先，虽然频谱分析和对这些时期的进一步分析，发现了上述两个数据集的时段。然后使用从2004年1月至2010年3月的时间序列进行相关分析。通过快速逆傅里叶变换，我们获得了互相关功能图，并分析了这些相关程度和滞后时间两个时间序列。研究表明，（1）海平面变化具有一年周期作为前期期间，同时等同的水高度变化具有半年周期作为领先因素，并显示复杂的多尺度耦合波动特性; （2）交叉相关函数图表明，当滞后时间为8个月时，这两个时间序列高度正相关，并且当滞后时间为26个月时，具有高度负相关。这两个事件之间存在电信连接。

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