J. Parraga-Alava, G. Garzón, Roberth Alcivar Cevallos, Mario Inostroza-Ponta
{"title":"厄瓜多尔7.8级地震后地震事件地理聚类的无监督模式识别","authors":"J. Parraga-Alava, G. Garzón, Roberth Alcivar Cevallos, Mario Inostroza-Ponta","doi":"10.1109/SCCC.2018.8705248","DOIUrl":null,"url":null,"abstract":"Ecuador is located at the collision point of Nazca and South America tectonic plates, an area with high seismic activity; hence it is common that a large number of seismic events occur annually. On April 16, 2016, a Mw 7.8 earthquake impacted coastal Ecuador, and plenty of aftershocks were located within the affected and surrounding areas. Determining similar seismic geographical zones of the such events has become a problem of great interest for post-earthquake mitigation actions. In this paper, we present an approach to cluster seismic events post Mw 7.8 Ecuador earthquake. We carried out unsupervised pattern recognition through a clustering algorithm called MST-kNN. Our approach identified five clusters with similar seismic geographical zones along coastal provinces and Pacific Ocean. The results can be used to plan post-earthquake mitigation strategies such as identifying safe roads for evacuation plans or adequate location of ad hoc health and supply centers.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Unsupervised Pattern Recognition for Geographical Clustering of Seismic Events Post MW 7.8 Ecuador Earthquake\",\"authors\":\"J. Parraga-Alava, G. Garzón, Roberth Alcivar Cevallos, Mario Inostroza-Ponta\",\"doi\":\"10.1109/SCCC.2018.8705248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ecuador is located at the collision point of Nazca and South America tectonic plates, an area with high seismic activity; hence it is common that a large number of seismic events occur annually. On April 16, 2016, a Mw 7.8 earthquake impacted coastal Ecuador, and plenty of aftershocks were located within the affected and surrounding areas. Determining similar seismic geographical zones of the such events has become a problem of great interest for post-earthquake mitigation actions. In this paper, we present an approach to cluster seismic events post Mw 7.8 Ecuador earthquake. We carried out unsupervised pattern recognition through a clustering algorithm called MST-kNN. Our approach identified five clusters with similar seismic geographical zones along coastal provinces and Pacific Ocean. The results can be used to plan post-earthquake mitigation strategies such as identifying safe roads for evacuation plans or adequate location of ad hoc health and supply centers.\",\"PeriodicalId\":235495,\"journal\":{\"name\":\"2018 37th International Conference of the Chilean Computer Science Society (SCCC)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 37th International Conference of the Chilean Computer Science Society (SCCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCCC.2018.8705248\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCC.2018.8705248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unsupervised Pattern Recognition for Geographical Clustering of Seismic Events Post MW 7.8 Ecuador Earthquake
Ecuador is located at the collision point of Nazca and South America tectonic plates, an area with high seismic activity; hence it is common that a large number of seismic events occur annually. On April 16, 2016, a Mw 7.8 earthquake impacted coastal Ecuador, and plenty of aftershocks were located within the affected and surrounding areas. Determining similar seismic geographical zones of the such events has become a problem of great interest for post-earthquake mitigation actions. In this paper, we present an approach to cluster seismic events post Mw 7.8 Ecuador earthquake. We carried out unsupervised pattern recognition through a clustering algorithm called MST-kNN. Our approach identified five clusters with similar seismic geographical zones along coastal provinces and Pacific Ocean. The results can be used to plan post-earthquake mitigation strategies such as identifying safe roads for evacuation plans or adequate location of ad hoc health and supply centers.