基于GPS数据的地震波动强度评估数学建模分析  被引量:1

Mathematical modeling and analysis of earthquake wave intensity assessment based on GPS data

在线阅读下载全文

作  者:慕秀成 MU Xiu cheng(Yantai Automobile Engineering Professional College,Yantai 265500,China)

机构地区:[1]烟台汽车工程职业学院,山东烟台265500

出  处:《电子设计工程》2020年第9期126-129,134,共5页Electronic Design Engineering

摘  要:传统方法对地震波动强度变化分析时,忽略地震波动强度时间属性,导致分析结果误差较大。针对该问题,提出了基于GPS数据的地震波动强度评估数学建模分析方法。采用GPS数据分析地震强度表征和结构需求参数,选取最强地震作为地震波动强度序列采样标准,从中选择出合理样本,研究地震波动强度序列经验分布情况。结合GPS数据构建长基线GPD双差观测方程,利用观测站天顶延迟计算函数修正方程,分析不同GPS数据量下双差参量变化情况,通过建立非线性拟合数学模型,总结地震波动强度结果的可偏离程度,由此完成地震波动强度评估数学建模。实验结果表明,该方法评估结果精准度都高于95%,为人们遇到地震灾害时提供安全保障。The traditional method neglects the time attribute of seismic wave intensity when analyzing the change of seismic wave intensity,which results in a large error in the analysis results.To solve this problem,a mathematical modeling and analysis method for seismic wave intensity evaluation based on GPS data is proposed.Using GPS data to analyze the characterization of seismic intensity and structural demand parameters,the strongest earthquake is selected as the sampling standard of seismic fluctuation intensity sequence,and reasonable samples are selected to study the empirical distribution of seismic fluctuation intensity sequence.Combined with GPS data,the long baseline GPD double difference observation equation is constructed,and the zenith delay calculation function is used to modify the equation.The variation of double difference parameters under different GPS data quantities is analyzed.By establishing a non linear fitting mathematical model,the deviation degree of the results of seismic wave intensity is summarized,thus the evaluation mathematics of seismic wave intensity is completed.Modeling.The experimental results show that the accuracy of this method is higher than 95%,which provides safety guarantee for people when they encounter earthquake disasters.

关 键 词:GPS数据 地震 波动强度 评估 数学建模 

分 类 号:TN35[电子电信—物理电子学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象