Diurnal variation of the fair-weather atmospheric electric field in Binchuan, China

Wu, Jiahao; Ziming, None ZOU; Chen, Tao; Li, Yunlong; Yang, Ling; Ti, Shuo; Li, Lei

doi:10.1016/j.jastp.2022.105985

Cited by 4 publications

(1 citation statement)

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“…Firstly, AEF is susceptible to meteorological factors, geological activities, and other anthropogenic factors, especially meteorological conditions. The presence of convective activities, such as strong wind, precipitation, snowfall, or lightning, can lead to significant fluctuations in AEF values, both positive and negative [18,19]. Secondly, previous studies primarily focused on single or double AEF monitoring stations that exhibited anomalies prior to earthquakes [20].…”

Section: Introductionmentioning

confidence: 99%

Identification and Analysis of Multi-Station Atmospheric Electric Field Anomalies before the Yangbi Ms 6.4 Earthquake on 21 May 2021

Nie,

Zhang

2023

Atmosphere

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This study reports the atmospheric electric field (AEF) anomalies associated with seismic-geological activity recorded by the monitoring network in the Sichuan–Yunnan region of China during the 15–30 days prior to the Yangbi earthquake in Yunnan Province, China, on 21 May 2021. Based on the real-time AEF data from continuous observation, this study summarized the characteristics of the anomalous interference of different meteorological factors on the AEF, compared the simultaneous meteorological data of the AEF anomalies, and ruled out the influence of precipitation, wind, fog, and other weather factors on the AEF anomalies in Yangbi County prior to the Yangbi Ms 6.4 earthquake. The AEF anomalies were identified and extracted from the two-month data from 1 April to 1 June, which were from multiple days, stations, and rupture zones near the 100 km radius from the epicenter of the Yangbi Ms 6.4 main earthquake. Using time series and wavelet transform analysis methods, the obvious common features of the anomalies were summarized, and the homology of the anomalies was verified. The main outcome of the investigation in this study will be used to distinguish and characterize the AEF anomalies associated with pre-seismic geologic activity of non-meteorological elements in the near future.

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Section: Introductionmentioning

confidence: 99%