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Seasonal variations characteristics of shallow subsurface seismic velocity and its influencing factors in Tianjin area, North China using ambient seismic noise data
Características de las variaciones estacionales de la velocidad sísmica del subsuelo superficial y sus factores influyentes en el área de Tianjin, norte de China, utilizando datos de ruido sísmico ambiental
DOI:
https://doi.org/10.15446/esrj.v29n3.119268Keywords:
Seismic noise, Velocity variation, HVSR method, Seismic interferometry, Seasonally frozen soil (en)Ruido sísmico, Variación de la velocidad, Método HVSR, Interferometría sísmica, Suelo congelado estacionalmente (es)
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It is feasible to continuously monitor the temporal changes of shallow subsurface media by utilizing ambient seismic noise. Here, the authors analyzed three-year continuous records of 117 earthquake early warning stations in the Tianjin area in the North China Plain to explore the seasonal variation of shallow subsurface seismic velocity. They examined the daily horizontal-to-vertical spectral ratio (HVSR) curves and found that 25 stations exhibit clear seasonal variations in peak frequency and peak magnitude within the frequency range of 5-20 Hz. Subsequently, autocorrelation is applied to the seismic noise of these 25 stations in the 5-20 Hz frequency range to calculate the relative velocity changes. Ten stations show the same variation pattern in the peak frequency of HVSR curves and relative velocity changes based on autocorrelation. This pattern exhibits characteristics where the peak frequency and seismic velocity increase rapidly in November, decrease quickly in February of the following year, and change relatively little in other seasons. By comparing with meteorological data, the authors infer that the freezing of the soil layer when the temperature drops below 0°C leads to an increase in shear wave velocity and peak frequency in winter. The results suggest that studies on crustal structure detection need to consider temperature effects.
Es posible monitorear continuamente los cambios temporales de los medios del subsuelo superficial mediante el uso del ruido sísmico ambiental. En este estudio, los autores analizaron registros continuos de tres años de 117 estaciones de alerta temprana de terremotos en el área de Tianjin, en la llanura del norte de China, para explorar la variación estacional de la velocidad sísmica del subsuelo superficial. Examinaron las curvas diarias de la relación espectral horizontal-vertical (HVSR) y descubrieron que 25 estaciones presentan claras variaciones estacionales en la frecuencia y magnitud pico dentro del rango de frecuencia de 5 a 20 Hz. Posteriormente, se aplicó la autocorrelación al ruido sísmico de estas 25 estaciones en el rango de frecuencia de 5 a 20 Hz para calcular los cambios de velocidad relativa. Diez estaciones muestran el mismo patrón de variación en la frecuencia pico de las curvas HVSR y los cambios de velocidad relativa basados en la autocorrelación. Este patrón presenta características donde la frecuencia pico y la velocidad sísmica aumentan rápidamente en noviembre, disminuyen rápidamente en febrero del año siguiente y varían relativamente poco en otras estaciones. Al comparar datos meteorológicos, los autores infieren que la congelación de la capa de suelo cuando la temperatura desciende por debajo de 0 °C provoca un aumento de la velocidad y la frecuencia pico de las ondas de corte en invierno. Los resultados sugieren que los estudios sobre la detección de la estructura de la corteza deben considerar los efectos de la temperatura.
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