基于手机定位数据的地震灾害影响场方向模拟
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摘要
地震灾害影响场的方向决定着地震灾害范围的空间分布,进一步影响着灾后应急指挥和决策,以2017-08-08T21:19:00发生在九寨沟7.0级的地震为例,利用震区的震前和震后互联网手机定位数据,采用空间计量分析中标准差椭圆模型,分析震区内消失手机定位数据的空间分布特征及其离散点集的定向方向,确定地震灾害影响场方向为北西向,结果和中国地震局发布此次地震的影响场的方向基本一致,表明本文的研究思路和方法对于第一时间地震灾害信息获取具有重要的参考价值。
The direction of the earthquake disaster affected field determines the spatial distribution of the earthquake disaster scope, and further influences the post-disaster emergency command and decision. The 7.0 magnitude earthquake occurred at 2017-08-08 T21:19:00 is taken as an example; the location data of the internet mobile phone before and after the earthquake area are used. The spatial distribution characteristics of the disappearing mobile phone location data and the orientation direction of the distributed discrete point sets are obtained by using the standard deviation ellipse model in the spatial econometric analysis. The direction of the earthquake disaster affected field is determined to be northwest direction, which is consistent with the direction of affecting field released by China Earthquake Administration. This shows that the research ideas and methods have certain reference value for the earthquake disaster information acquisition on the first time.
The direction of the earthquake disaster affected field determines the spatial distribution of the earthquake disaster scope, and further influences the post-disaster emergency command and decision. The 7.0 magnitude earthquake occurred at 2017-08-08 T21:19:00 is taken as an example; the location data of the internet mobile phone before and after the earthquake area are used. The spatial distribution characteristics of the disappearing mobile phone location data and the orientation direction of the distributed discrete point sets are obtained by using the standard deviation ellipse model in the spatial econometric analysis. The direction of the earthquake disaster affected field is determined to be northwest direction, which is consistent with the direction of affecting field released by China Earthquake Administration. This shows that the research ideas and methods have certain reference value for the earthquake disaster information acquisition on the first time.
引文
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[4]谢祖军,郑勇,姚华建,等.2017年九寨沟Ms7.0地震震源性质及发震构造初步分析[J].中国科学:地球科学,2018,48(1):79-92.Xie Zujun,Zheng Yong,Yao Huajian,et al.Preliminary Analysis of the Source Properties and Seismogenic Structure of the Jiuzhaigou Ms7.0 Earthquake in 2017[J].Chinese Science:Earth Sciences,2018,48(1):79-92.
[5]徐锡伟,闻学泽,叶建青,等.汶川Ms8.0地震地表破裂带及其发震构造[J].地震地质,2008,30(3):597-629.Xu X W,Wen X Z,Ye J Q,et al.The Ms8.0 Wenchuan earthquake surface ruptures and its seismogenic structure[J].Seismology and Geology,2008,30(3):597-629.
[6]Niu Z J,Wang M,Sunh R,et al.Contemporary velocity field of crustal movement of Chinese mainland from Global Positioning System measurements[J].Chin Sci Bull(S2095-9273),2005,50:939-941.
[7]安艳茹,苏金蓉,薛艳,等.2017年四川九寨沟Ms7.0地震的地震学特征[J].科学通报,2018,63(7):663-675.An Yanru,Su Jinrong,Xue Yan,et al.Seismological characteristics of the M_s7.0 earthquake in Jiuzhaigou,Sichuan Province in 2017[J].Science Bulletin,2018,63(7):663-675.
[8]张勇,许力生,陈运泰.2014年8月3日云南鲁甸Mw6.1(Ms6.5)地震破裂过程[J].地球物理学报,2014(9):3052-3059.ZHANG Yong,XU Lisheng,CHEN Yuntai.The Earthquake Rupture Process of Mw6.1(Ms6.5)in Ludian,Yunnan Province,August 3,2014[J].Chinese Journal of Geophysics,2014(9):3052-3059.
[9]许冲,徐锡伟,吴熙彦,等.2008年汶川地震滑坡详细编目及其空间分布规律分析[J].工程地质学报,2013,21(1):25-44.Xu Chong,Xu Xiwei,Wu Xiyan,et al.Landslide detailed cataloguing and spatial distribution analysis of the 2008Wenchuan earthquake[J].Journal of Engineering Geology,2013,21(1):25-44.