Joint Anomalies of High-Frequency Geoacoustic Emission and Atmospheric Electric Field by the Ground–Atmosphere Boundary in a Seismically Active Region (Kamchatka)

Marapulets, Yu. V.; Rulenko, O. P.

doi:10.3390/atmos10050267

Cited by 8 publications

(4 citation statements)

References 35 publications

(49 reference statements)

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“…Kamchatka is part of the Kuril–Kamchatka island (or volcanic) arc. It is one of the most seismically active regions on the Earth, with about 30 active and potentially active volcanoes in the Kuril–Kamchatka region [ 21 , 22 , 23 ]. As a result of the eruptions of these volcanoes, millions of tons of volcanic ash are emitted into the atmosphere [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Diatoms in Volcanic Soils of Mutnovsky and Gorely Volcanoes (Kamchatka Peninsula, Russia)

et al. 2021

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Volcanic activity has a great impact on terrestrial ecosystems, including soil algae in general and diatoms in particular. To understand the influence of volcanoes on the biodiversity of diatoms, it is necessary to explore the flora of these microorganisms in regions with high volcanic activity, which includes the Kamchatka peninsula. During the study on diatoms in the soils of Mutnovsky and Gorely volcanoes of Kamchatka, 38 taxa were found. The Mutnovsky volcano diatom flora was more diverse and accounted for 35 taxa. Eunotia curtagrunowii, Humidophila contenta, and Pinnularia borealis were the dominant species. In the Gorely volcano, only 9 species were identified, with Caloneis bacillum and Pinnularia borealis prevailing in the samples. Overall, the genera Pinnularia and Eunotia were the most diverse in the studied area. The diatom flora of the studied volcanoes comprises mostly cosmopolitan small-sized taxa with a wide range of ecological plasticity. Our data confirm the high adaptive potential of diatom algae and add new knowledge about the ecology and biogeography of this group of microorganisms.

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Section: Introductionmentioning

confidence: 99%

Diatoms in Volcanic Soils of Mutnovsky and Gorely Volcanoes (Kamchatka Peninsula, Russia)

et al. 2021

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“…Marapulets and Rulenko also conducted a comprehensive analysis of joint anomalies involving high-frequency acoustic emission and the AEF at the ground-atmosphere boundary in Kamchatka. These anomalies manifested as increases in acoustic emission in the mHz frequency range and bay-like decreases in the AEF that occurred simultaneously during calm weather conditions [32].…”

Section: Wavelet Analysis Resultsmentioning

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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“…It was shown in [1,2] that AE intensity increases at the frequency of 25 kHz 2-3 days before strong earthquakes. According to [19,20], anomalies in the form of signal level increase appear in the frequency range of more than 6.5 kHz in the AE signals accumulated by 1 s. The results of time-frequency analysis of single AE pulses registered 1-7 days before earthquakes are presented in [21,22]. According to these results, the number of pulses of a certain frequency increases before strong earthquakes.…”

Section: Examples Of Identification Of Pre-seismic Ae Anomaliesmentioning

confidence: 99%

Method of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies

Marapulets¹,

Senkevich²,

Lukovenkova³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Joint Anomalies of High-Frequency Geoacoustic Emission and Atmospheric Electric Field by the Ground–Atmosphere Boundary in a Seismically Active Region (Kamchatka)

Cited by 8 publications

References 35 publications

Diatoms in Volcanic Soils of Mutnovsky and Gorely Volcanoes (Kamchatka Peninsula, Russia)

Diatoms in Volcanic Soils of Mutnovsky and Gorely Volcanoes (Kamchatka Peninsula, Russia)

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

Method of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies

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