Open AccessResearch overview to the quality evaluation of strong-motion observation data
Author(s) -
Yanqiong Liu,
Liu Jie
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012047
Subject(s) - quality (philosophy) , reliability (semiconductor) , data quality , warning system , motion (physics) , computer science , artificial intelligence , engineering , operations management , telecommunications , metric (unit) , physics , quantum mechanics , philosophy , power (physics) , epistemology
The quality of strong-motion observation data can directly influence the reliability of earthquake disaster prevention, seismic intensity rapid reporting, earthquake early warning and other results, so it’s of great significance to analyse and evaluate the quality of observation data. In this paper, a detailed survey is made considering the status of domestic and overseas studies on the quality of strong-motion observation data, followed by elaborations about the method and deficiencies in the quality evaluation of strong-motion data; Meanwhile, the main factors influencing the quality of strong-motion observation data are also illustrated, and indexes of quality evaluation are summarized by combining with characteristics and application objectives of strong earthquake observation data; Furthermore, this paper also provides discussions about the development trend of data quality evaluation based on the actual strong-motion observation conditions in China, and puts forward some suggestions.