| Issue |
E3S Web Conf.
Volume 131, 2019
2nd International Conference on Biofilms (ChinaBiofilms 2019)
|
|
|---|---|---|
| Article Number | 01072 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/201913101072 | |
| Published online | 19 November 2019 | |
A martingale-based temporal analysis of pre-earthquake anomalies at Jiuzhaigou, China, in the period of 2009-2018
1
Fujian Normal University, 350022 Fuzhou Fujian, China
2
Fujian Agriculture and Forest University, 350002 Fuzhou Fujian, China
* Corresponding author: linling@fjnu.edu.cn
Many studies on the relationship between outgoing longwave radiation (OLR) data observed by National Oceanic and Atmospheric Administration Satellites (NOAA) with strong earthquakes are based on a certain zone or a couple of earthquakes. But it’s hard to know if the algorithm works by looking at just one earthquake. In this paper, after algorithm analysis of OLR signals based on martingale theory during the 10 years from 2009 to 2018, a time series analysis of re-anomaly screening for the 10 years’ data is proposed. The experimental results show that this method can be more effective in the statistical analysis of historical data and further improve the reliability of prediction.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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