Abstract

AbstractThis study aims to analyze the complex relationship between heat flow and seismicity in tectonically active zones worldwide. The problem was quantitatively analyzed by using a geographic detector method, which is well suited for analyzing nonlinear relationships in geography. Moreover,β-value that describes the frequency-magnitude distribution is used to represent the seismicity. The results showed that heat flow (HF) = 84 mW/m2is a critical point for the relevant mechanisms of heat flow with seismicity in these zones. When HF < 84 mW/m2, the heat flow correlates negatively with theβ-value, with a correlation degree of 0.394. Within this interval, buoyant is a primary control on the stress state and earthquake size distribution. Large earthquakes occur more frequently in subduction zones with younger slabs that are more buoyant. Due to zones with a high ratio of large earthquake corresponds to lowβ-values, high heat flow values correspond to lowβ-values. When HF > 84 mW/m2, the heat flow correlates positively with theβ-value, with a correlation degree of 0.463. Within this interval, the increased heat flow decreases the viscosity of the rock plate and then reduces the stress. Lower stress would correspond to a smaller earthquake and then a higherβ-value. Therefore, high heat flow values correspond to highβ-values. This research would be conducive to understand the geologic activity and be helpful to determine the accuracy and timeliness of seismic hazard assessment.

Highlights

  • Estimating seismicity is an important part of seismic hazard assessment [1], especially probabilistic seismic hazard assessment (PSHA) of which the process includes performing seismic zoning, estimating seismicity, and fitting a local attenuation law to ground motion in turn

  • Seismicity is an important part of the seismic hazard assessment

  • We use the geographical detector method to analyze the complex relationship of heat flow (HF) with seismicity in global tectonically active zones

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Summary

Introduction

Estimating seismicity is an important part of seismic hazard assessment [1], especially probabilistic seismic hazard assessment (PSHA) of which the process includes performing seismic zoning, estimating seismicity, and fitting a local attenuation law to ground motion in turn. The seismicity is controlled by different geological structures; it can be used for geological zoning [2,3]. As far as we know, the seismicity is related to many geological factors, such as plate activity, tectonic style, strain rate, and HF [5,6,7,8]. It has always been an interesting but challenging subject to quantitatively understand the associated factor of seismicity. Papadakis et al [12] presented that high heat flow was consistent with the absence of strong events; Zhan [13] indicated that for deep intermediate earthquakes, seismicity was higher in colder slabs but lower in warmer slabs

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