Andrea Antonucci, A. Rovida, V. D'Amico, D. Albarello
{"title":"寻找未记录的地震效应:意大利大地震数据的概率分析","authors":"Andrea Antonucci, A. Rovida, V. D'Amico, D. Albarello","doi":"10.5194/nhess-23-1805-2023","DOIUrl":null,"url":null,"abstract":"Abstract. A methodology to detect local incompleteness of\nmacroseismic intensity data at the local scale is presented. In particular,\nthe probability that undocumented effects actually occurred at a site is\ndetermined by considering intensity prediction equations (in their\nprobabilistic form) integrated by observations relative to known events\ndocumented at surrounding sites. The outcomes of this analysis can be used\nto investigate how representative and known the seismic histories of\nlocalities are (i.e., the list of documented effects through time). The proposed approach is applied to the Italian area. The analysis shows that, at most of\nthe considered sites, the effects of intensity ≥ 6 should most probably\nhave occurred at least once, but they are not contained in the current\nversion of the Italian macroseismic databases. In a few cases, instead, the\nlack of data may concern higher intensity levels (i.e., ≥ 8). The\ngeographical distribution of potentially lost information reflects the\nheterogeneity of the seismic activity over the Italian territory.\n","PeriodicalId":18922,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data\",\"authors\":\"Andrea Antonucci, A. Rovida, V. D'Amico, D. Albarello\",\"doi\":\"10.5194/nhess-23-1805-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. A methodology to detect local incompleteness of\\nmacroseismic intensity data at the local scale is presented. In particular,\\nthe probability that undocumented effects actually occurred at a site is\\ndetermined by considering intensity prediction equations (in their\\nprobabilistic form) integrated by observations relative to known events\\ndocumented at surrounding sites. The outcomes of this analysis can be used\\nto investigate how representative and known the seismic histories of\\nlocalities are (i.e., the list of documented effects through time). The proposed approach is applied to the Italian area. The analysis shows that, at most of\\nthe considered sites, the effects of intensity ≥ 6 should most probably\\nhave occurred at least once, but they are not contained in the current\\nversion of the Italian macroseismic databases. In a few cases, instead, the\\nlack of data may concern higher intensity levels (i.e., ≥ 8). The\\ngeographical distribution of potentially lost information reflects the\\nheterogeneity of the seismic activity over the Italian territory.\\n\",\"PeriodicalId\":18922,\"journal\":{\"name\":\"Natural Hazards and Earth System Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards and Earth System Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/nhess-23-1805-2023\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/nhess-23-1805-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data
Abstract. A methodology to detect local incompleteness of
macroseismic intensity data at the local scale is presented. In particular,
the probability that undocumented effects actually occurred at a site is
determined by considering intensity prediction equations (in their
probabilistic form) integrated by observations relative to known events
documented at surrounding sites. The outcomes of this analysis can be used
to investigate how representative and known the seismic histories of
localities are (i.e., the list of documented effects through time). The proposed approach is applied to the Italian area. The analysis shows that, at most of
the considered sites, the effects of intensity ≥ 6 should most probably
have occurred at least once, but they are not contained in the current
version of the Italian macroseismic databases. In a few cases, instead, the
lack of data may concern higher intensity levels (i.e., ≥ 8). The
geographical distribution of potentially lost information reflects the
heterogeneity of the seismic activity over the Italian territory.
期刊介绍:
Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.