【摘要】 为了更有效地利用地下水位观测数据开展地震预测,需要排除其它因素对地下水位的干扰。降雨、气压和潮汐是影响地下水位的3个重要的非构造应力因素,对此建立状态空间模型以提取与地震有关的水文异常。这个模型把观测到的地下水位时间序列分解为气压响应、潮汐响应、降雨响应、噪声因子和水位残差5个因子,运用状态空间分析方法,从地下水位的实际观测数据中分解出气压、潮汐和降雨等主要的非构造因素对地下水位的影响,从而得到构造应力影响下的地下水位数据,以便于提取与地震活动有关的异常信息。更多还原

【Abstract】 To make full use of observation data,get rid of interference factors, we build a state space model to extract the hydrology abnormal that relevant to the earthquake.This method can decompose observed groundwater level into five components: atmospheric pressure,tidal,precipitation responses,observation noise,and residual water level.Using state space analysis method,we could obtain the water lever data in the Non-tectonic stress affects,and then,find the law of earthquake evolution through analysis the relations between the trend of the new water lever data and the earthquake activity.更多还原