阿尔巴尼亚地震预测模型:区域震源模型和平滑模型

Edlira Xhafaj, Chung-Han Chan, K. Ma
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引用次数: 1

摘要

摘要阿尔巴尼亚是欧洲地震活动最频繁的地区之一,我们为该国提出了地震预报模型,通过采用区域震源和平滑方法来概述地震活动。首先对地震目录进行去簇处理,以剔除在推导出的主震距离窗口和时间窗口内的前震和余震。考虑到地震目录的完整性,学习预报模型采用了 1960-2006 年间 M≥4.1 的地震事件。预报是通过一个包含 20 个子区域的区域震源模型和一个单元大小为 0.2∘ × 0.2∘ 的平滑模型来实现的,以预报阿尔巴尼亚的地震活动。两个模型均显示,研究区域西部海岸线和南部地区的地震发生率较高,这与之前讨论该地区地震活动和当前活跃区域的研究结果一致。为了进一步验证两个模型的预测性能,我们引入了 Molchan 图来量化模型与观测数据之间的相关性。Molchan 图表明,模型明显优于随机分布,证实了它们的预报能力。我们的研究结果为地震活动的后续研究(如概率地震灾害评估)提供了重要信息。
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Earthquake forecasting model for Albania: the area source model and the smoothing model
Abstract. We proposed earthquake forecasting models for Albania, one of the most seismogenic regions in Europe, to give an overview of seismic activity by implementing area source and smoothing approaches. The earthquake catalogue was first declustered to remove foreshocks and aftershocks when they are within the derived distance windows and time windows of mainshocks. Considering catalogue completeness, the events with M≥4.1 during the period of 1960–2006 were implemented for the learning forecast model. The forecasting is implemented into an area source model that includes 20 sub-regions and a smoothing model with a cell size of 0.2∘ × 0.2∘ to forecast the seismicity in Albania. Both models show high seismic rates along the western coastline and in the southern part of the study area, consistent with previous studies that discussed seismicity in the area and currently active regions. To further validate the forecast performance of the two models, we introduced the Molchan diagram to quantify the correlation between models and observations. The Molchan diagram suggests that the models are significantly better than a random distribution, confirming their forecasting abilities. Our results provide crucial information for subsequent research on seismic activity, such as probabilistic seismic hazard assessment.
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