Hour-scale persistent negative anomaly of atmospheric electrostatic field near the epicenter before earthquake
Tao Chen, Han Wu, Chi Wang, Xiaoxin Zhang, Xiaobin Jin, Qiming Ma,, Jiyao Xu, Suping Duan, Zhaohai He, Hui Li, Saiguan Xiao, Xizhen Wang, Xuhui, Shen, Quan Guo, Ilan Roth, Vladimir Makhmutov, Yong Liu, Jing Luo, Xiujie, Jiang, Lei Dai, Xiaodong Peng, Xiong Hu, Lei Li, Chen Zeng

TL;DR
This paper identifies a persistent negative anomaly in atmospheric electrostatic fields as a precursor to earthquakes, proposes a physical mechanism involving radon decay and ionization, and introduces a prediction method called "DC Ez Determination" for short-term earthquake forecasting.
Contribution
It presents a novel physical explanation for atmospheric electrostatic anomalies before earthquakes and introduces a new prediction technique based on stable negative electric field measurements.
Findings
Negative electrostatic anomalies can predict earthquakes within hours to days.
The proposed mechanism links radon decay to atmospheric electric field changes.
A new prediction method, "DC Ez Determination," is introduced for earthquake forecasting.
Abstract
Although earthquake prediction is a big challenge in the world, some simple observational tools can capture many physical signals and demonstrate that an earthquake (EQ) may be forthcoming in short period. Many researchers have studied the significant variation of atmospheric electrostatic field related to the forthcoming earthquake. However, until now, there is not a compelling physical mechanism which can explain why atmospheric electrostatic abnormal signal could appear just before an earthquake. Here we present a precursor signal and propose a brief physical interpretation. Under fair air conditions, if the near-surface atmospheric electrostatic field Ez (oriented down when it is positive) presents a very stable negative anomaly (from -100 V/m to -5000 V/m), it will forebode that an earthquake (seismicity from 3-8) would take place in the next several to tens of hours within a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEarthquake Detection and Analysis · Knowledge Management and Technology
