中文摘要：

海平面的变化能被周期的潮导致，随机弯屈，让压力通风，并且胀大。更大的海平面的变化有潜力引起沿海的灾难。在这份报纸， Xiaoqushan seafloor 天文台在华东海获得的即时连续数据被分析采用光谱的频率力量和潮汐的泛音方法提取海平面的变化的主要部件和频率。海平面的异例(sla ) 被从观察的海水平数据减去潮汐的部件计算。在学习时期，在 sla 和本地纵贯的风速度之间的关联在 95% 信心水平与 0.65 的一个关联系数高。本地导致风的海平面的异例(slawind ) 因此通过线性适合被计算。尽管 slawind 是 sla 的主要部件之一，海平面的异例(slaresidual ) 由从 sla 减去 slawind 获得了的剩余不是零，建议除风以外有另外的因素。海平面的数据的详细分析在 2010 年 2 月 27 日在 8.8 大小智利人地震的时候显示出 0.48 m 的山峰 slaresidual 值在在 15:00 附近在 2 月 28 日，它与由和平的海啸警告中心的海啸到达时间预报是高度重合的。山峰 slaresidual 事件因此被连接，海啸由 2010 智利人地震导致了。这是海啸用一个 seafloor 天文台在海记录离开中国的即时连续数据被检测了的第一次。如此的观察被期望改进海啸预报模型并且在华东海支持一个海啸警告系统和一个 seafloor 天文台网络的开发。

英文摘要：

Sea-level variation can be induced by periodic tides, stochastic wind, air pressure, and swell. Larger sea-level variation has the potential to cause coastal disasters. In this paper, real-time continuous data obtained by the Xiaoqushan seafloor observatory in the East China Sea were analyzed employing frequency power spectral and tidal harmonic methods to extract the major components and periodicities of sea-level change. The sea-level anomaly （sla） was calculated by subtracting the tidal components from the observed sea level data. In the study period, the correlation between sla and the local north-south wind speed was high with a correlation coefficient of 0.65 at the 95% confidence level. The local wind-induced sea-level anomaly （sla wind ） was therefore computed through linear fitting. Although sla wind is one of the main components of sla, the residual sea-level anomaly （sla residual ） obtained by subtracting sla wind from sla is not zero, suggesting that there are other factors besides wind. Detailed analysis of the sea-level data at the time of the 8.8-magnitude Chilean earthquake on February 27, 2010 showed a peak sla residual value of 0.48 m at around 15：00 on February 28, which was highly coincident with the tsunami arrival time forecast by the Pacific Tsunami Warning Center. The peak sla residual event is therefore linked with the tsunami induced by the 2010 Chilean earthquake. This is the first time that a tsunami has been detected using real-time continuous data recorded by a seafloor observatory in the sea off China. Such observations are expected to improve tsunami forecast models and promote the development of a tsunami warning system and a seafloor observatory network in the East China Sea.