Rayleigh-Wave Dispersion Curves from Energetic Hurricanes in the Southeastern United States

Feng, Xuping1,2,3; Chen, Xiaofei1,2,3

2022-04-01

10.1785/0120210192

BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA   影响因子和分区

0037-1106

1943-3573

Seismic records during energetic storms, similar to earthquake signals, carry information about the Earth's interior. However, the utility of these records is rare in seismic imaging, because signal onsets in storm-generated microseisms are difficult to pick. The exciting seismic sources are also unsteady. Here, we present a new method for extracting accurate Rayleigh-wave dispersion curves from broadband seismic recordings made during the pas- sage of hurricanes by incorporating Shen et al. (2012) cross-correlation strategy with Wang et al. (2019) frequency-Bessel transform array stacking technique. We show that surface wave dispersion curves are observed in the seismic recordings made of four hurricanes. Compared with dispersion curves from hurricanes traveling onshore or in the deepwater, dispersion curves have higher signal-to-noise ratios from hurricanes moving near the coast or along the continental shelf. The average dispersion curve obtained from stacked cross correlations of all the four hurricanes agrees closely with that obtained from yearly ambient noise. We utilize the average dispersion curve from hurricanes to obtain a reliable shear-wave velocity (V-s) model. Our V-s model matches that derived from annual ambient seismic noise results with an average difference less than 0.1 km/s in the crust and uppermost mantle. This study suggests that hurricane-based dispersion curves can be an effective supplement to surface-wave tomography.

SCI ; EI

英语

第一 ; 通讯

Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology[ZDSYS201909020930 07855] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0203] ; Shenzhen Science and Technology Program[KQTD20170810111725321] ; National Natural Science Foundation of China["U1901602",41790465] ; leading talents of Guangdong province program[2016LJ06N652]

Geochemistry & Geophysics

Geochemistry & Geophysics

WOS:000778498800003

SEISMOLOGICAL SOC AMER

20221511963173

Earthquakes ; Hurricanes ; Rayleigh waves ; Shear flow ; Shear waves ; Signal to noise ratio ; Storms ; Wave propagation

Precipitation:443.3 ; Seismology:484 ; Fluid Flow, General:631.1 ; Information Theory and Signal Processing:716.1 ; Mechanics:931.1

GEOSCIENCES

Web of Science

1.Southern Univ Sci & Technol, Shenzhen Key Lab Deep Offshore Oil & Gas Explorat, Shenzhen, Peoples R China
2.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China
3.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China

Feng, Xuping,Chen, Xiaofei. Rayleigh-Wave Dispersion Curves from Energetic Hurricanes in the Southeastern United States[J]. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA,2022,112(2):622-633.

Feng, Xuping,&Chen, Xiaofei.(2022).Rayleigh-Wave Dispersion Curves from Energetic Hurricanes in the Southeastern United States.BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA,112(2),622-633.

Feng, Xuping,et al."Rayleigh-Wave Dispersion Curves from Energetic Hurricanes in the Southeastern United States".BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA 112.2(2022):622-633.