摘要
传统的遥感烈度评估方法,采用普通最小二乘法来建立遥感震害指数与地面等效震害指数之间的关系,再经过地面等效震害指数转化为地震烈度,忽略了数据之间的空间相关性。为使结果更加准确,本研究通过建立顾及空间相关性的遥感震害指数与地震烈度的回归关系,并以“四川芦山7.0级地震”为例进行实验验证,结果证实顾及空间相关性的回归模型的稳定性和准确性优于普通线性回归模型。
In the traditional intensity evaluation method with remote sensing,the general least square method is used to establish the relationship between the remote sensing seismic damage index and the ground equivalent seismic damage index,and then the ground equivalent seismic damage index is transformed into the seismic intensity,the spatial correlation between the data is ignored.To get accurate data,the regression relationship between the remote sensing seismic damage index and the seismic intensity is established,taking the"Lushan M 7.0 earthquake in Sichuan province"as an example,the results show that the stability and accuracy of the regression model considering spatial correlation are better than that of the general regression model.
作者
李芋均
郭红梅
赵真
张莹
LI Yujun;GUO Hongmei;ZHAO Zheng;ZHANG Ying(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Sichuan Chengdu 611756,China;Sichuan Earthquake Administration,Sichuan Chengdu 610041,China)
出处
《四川地震》
2020年第2期9-14,共6页
Earthquake Research in Sichuan
基金
国家重点研发计划项目课题(2017YFC1500905)
四川地震科技创新团队专项(201901)共同支持.
关键词
遥感
地震烈度
空间相关性
回归模型
remote sensing
seismic intensity
spatial correlation
regression model
