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<p>The 2023 Ms 6.2 Jishishan earthquake generated intense near-field ground motions with a peak acceleration of 1.1&#xa0;g, far exceeding regional model predictions. The physical mechanism behind its high-energy characteristics, however, remained unclear. Using dense strong ground motion records, this study systematically reveals high-frequency ground motion anomalies and a pronounced hanging-wall effect. Based on the relationship between ground motion and source parameters under the elliptical model, we attribute this to a high stress drop (13.36&#xa0;MPa) and identify significant source radiation modulation. We develop a physics‐based ground motion prediction model that integrates seismic moment and stress drop derived from P‐wave records. This method overcomes the conventional reliance on magnitude alone, capturing high‐frequency dynamic source features, and achieves significantly improved prediction accuracy. Our results highlight the critical need to incorporate dynamic source parameters into seismic hazard assessment, especially for moderate‐to‐strong earthquakes in high‐stress tectonic settings.</p>

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High-energy characteristics and physics-based ground motion prediction of the 2023 Ms 6.2 Jishishan earthquake

  • 期刊论文

  • 发表日期：

    2026年2月26日

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  • Jiang Wang,
  • Qiang Ma,
  • Xubin Zhang,
  • Dexin Lin,
  • Jiayu Chen

摘要

The 2023 Ms 6.2 Jishishan earthquake generated intense near-field ground motions with a peak acceleration of 1.1 g, far exceeding regional model predictions. The physical mechanism behind its high-energy characteristics, however, remained unclear. Using dense strong ground motion records, this study systematically reveals high-frequency ground motion anomalies and a pronounced hanging-wall effect. Based on the relationship between ground motion and source parameters under the elliptical model, we attribute this to a high stress drop (13.36 MPa) and identify significant source radiation modulation. We develop a physics‐based ground motion prediction model that integrates seismic moment and stress drop derived from P‐wave records. This method overcomes the conventional reliance on magnitude alone, capturing high‐frequency dynamic source features, and achieves significantly improved prediction accuracy. Our results highlight the critical need to incorporate dynamic source parameters into seismic hazard assessment, especially for moderate‐to‐strong earthquakes in high‐stress tectonic settings.