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| The algorithm of decomposing superim-posed 2-D Poisson processes and its applica-tion to the extracting earthquake clustering pattern | |
| 作者姓名： | 裴韬 周成虎 杨明 骆剑承 李全林 |
| 作者单位： | State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research，China Academy of Sciences，State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research，China Academy of Sciences，Faculty of Science，Xian Jiaotong University，State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research，China Academy of Sciences，Institute of Geophysics，China Seismological Bureau Beijing 100101，China，Beijing 100101，China，Xian 710049，China，Beijing 100101，China，Beijing 100081，China |
| 基金项目： | National Science Fund for Distinguished Young Scholars (40225004), The CAS Hundred Scholars Program. |
| 摘 要： | IntroductionClusteringearthquakesareusuallyconsideredasomensofstrongearthquakesorasignaloftectonicmovement.Thus,theyarenotonlyoneoftheprimaryevidencestopredictearthquakesbutalsoasignificantindicatortorecognizetectonicmovement(MEI,etal,1993;EarthquakePre-dictionandPreventionDepartmentofChinaSeismologicalBureau,1998).Ongeneralconditions,webelievethatclusteringearthquakesexistrelativelytobackgroundearthquakes,howtoeffectivelyseparateonefromtheotherbecomesthekeypointofextractingtheclusteringea… |
The algorithm of decomposing superimposed 2-D Poisson processes and its application to the extracting earthquake clustering pattern |
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| PEI Tao ZHOU Cheng-huYANG Ming LUO Jian-cheng LI Quan-lin,State Key Laboratory of Resources and Environmental Information System.The algorithm of decomposing superim-posed 2-D Poisson processes and its applica-tion to the extracting earthquake clustering pattern[J].Acta Seismologica Sinica(English Edition),2004,17(1):54-63. | |
| Authors: | PEI Tao ZHOU Cheng-huYANG Ming LUO Jian-cheng LI Quan-lin State Key Laboratory of Resources and Environmental Information System |
| Institution: | 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, China Academy of Sciences, Beijing 100101, China 2. Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China 3. Institute of Geophysics, China Seismological Bureau, Beijing 100081, China |
| Abstract: | Aiming at the complexity of seismic gestation mechanism and spatial distribution, we hypothesize that the seismic data are composed of background earthquakes and anomaly earthquakes in a certain temporal-spatial scope. Also the background earthquakes and anomaly earthquakes both satisfy the 2-D Poisson process of different parameters respectively. In the paper, the concept of N-th order distance is introduced in order to transform 2-D superimposed Poisson process into 1-D mixture density function. On the basis of choosing the distance, mixture density function is decomposed to recognize the anomaly earthquakes through genetic algorithm. Combined with the temporal scanning of C value, the algorithm is applied to the recognition on spatial pattern of foreshock anomalies by exam-ples of Songpan and Longling sequences in the southwest of China. |
| Keywords: | mixture Poisson process clustering earthquakes Songpan Longling |
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