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考虑样本分布不均的衰减关系的加权两步回归法
引用本文:刘平,罗奇峰.考虑样本分布不均的衰减关系的加权两步回归法[J].地震学报,2014,36(4):711-718.
作者姓名:刘平  罗奇峰
作者单位:1.中国上海 200092 同济大学结构工程与防灾研究所
基金项目:国家自然科学基金(51078273)资助
摘    要:通过对距离和震级的分档将权重引入两步回归法: 第一步, 将地震记录按距离分档, 每个记录得到的权重为w'ij=1/(njni)(其中nj为该记录所在档的地震数, ni为该记录的地震在此档中的记录数), 这种权重的取法不仅使各档的权重相同, 而且保证每档中不同地震在各档中的权重也相同; 第二步, 将地震按震级分档, 每次地震得到的权重为v'k=1/nk(其中nk为该地震所在档的地震数). 以Joyner 和Boore的数据为分析对象进行加权两步法的回归, 并与传统两步法回归的结果进行比较. 结果表明: 传统两步法在近场拟合的小震峰值加速度的估计值偏大, 大震峰值加速度的估计值偏小, 其衰减曲线在远场的衰减速度过快; 而加权两步法则能更好地反映地震动的空间分布规律. 

关 键 词:权重    两步法    峰值加速度    分布规律
收稿时间:2013-06-22

Weighted two-step regression method of attenuation relationship considering sample uneven distribution
Affiliation:1.Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China2.Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China
Abstract:Weight is introduced into two-step method by grading distances and magnitude. In the first step, the recordings are divided into several intervals by range of distances. Every recording gets one weight w'ij=1/(njni) (nj is the number of earthquakes in the interval in which the recording is located, ni is the number of recordings of the earthquake in this interval). Not only does the way of getting weight keep equal weight for every interval, but also promises the same weight for earthquakes in any interval. In the second step, the earthquakes are divided into several intervals by range of magnitudes. Every earthquake get one weight v'k=1/nk (nk is the number of earthquakes in the interval in which the earthquake is located). Taking the recordings used by Joyner and Boore (1981) as instance, comparing results from weighted two-step method with that from traditional one, the results show that values of peak ground acceleration (PGA) in near sites fitted by traditional method are higher than that fitted by weighted method for small events and lower for large events, attenuating rates are much rapider in far sites; weighted two-step method is better to simulate spatial distribution laws of ground motions than traditional method. 
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