The stochastic extended finite-fault simulation method(EXSIM)is a widely used tool in seismological research,with applications in ground motion prediction and simulation,seismic hazard analysis,and engineering studies...The stochastic extended finite-fault simulation method(EXSIM)is a widely used tool in seismological research,with applications in ground motion prediction and simulation,seismic hazard analysis,and engineering studies.However,recent studies have revealed a significant limitation:EXSIM tends to overpredict ground motions in the low-to-intermediate frequency range,particularly for large thrust earthquakes that are often characterized by a double-corner-frequency source model.To address this issue and enhance simulation accuracy,this study introduces two key improvements:(1)a novel asperity-distributed stress-drop composite fault model and(2)a hybrid application of EXSIM with the composite fault model.The proposed method is validated through its application to the 2013 M_(w)6.7 Lushan earthquake that occurred in China and six thrust earthquakes with an M_(w)≥6.5 in Japan.By comparing the simulated ground motions with recorded data,the results demonstrate that the improved method achieves consistent accuracy across the high-and low-frequency spectrum(combined goodness-of-fit:CGOF<0.35).This study significantly broadens the applicability of stochastic finite-fault simulations,enabling more reliable predictions for a wider range of seismic scenarios,including complex thrust faulting events.展开更多
为比较不同方法所得色泽参数的差异,探寻一种能够更加客观真实反映茶汤色泽的量化方法,选用36个六堡茶散茶样品为研究对象,分别采用3种不同方法提取茶汤的色泽参数,并对色泽参数进行模拟验证对比分析。结果表明,方法1基于Adobe Color C...为比较不同方法所得色泽参数的差异,探寻一种能够更加客观真实反映茶汤色泽的量化方法,选用36个六堡茶散茶样品为研究对象,分别采用3种不同方法提取茶汤的色泽参数,并对色泽参数进行模拟验证对比分析。结果表明,方法1基于Adobe Color CC和方法2基于Matlab的茶汤色泽量化分析方法所测定的不同茶样间色泽参数变化规律基本一致,而方法3直接采用台式色差仪所测定结果与方法1和方法2相比有明显差异,色泽参数相关性分析表明这些差异主要在于茶汤黄度值的变化不同。采用人工神经网络分析模型发现,上述3种方法所得色泽参数对汤色得分的预测准确度分别为86.1%、83.7%和63.8%。以实际茶汤色泽为参考,通过色泽参数模拟验证对比分析发现,基于计算机视觉的图像采集装置结合Adobe Color CC的茶汤色泽参数提取方法能够更加真实地反映出六堡茶茶汤的实际色泽,表明该方法有望为茶汤色泽的量化分析提供一种相对客观、准确的分析检测方法。展开更多
基金National Key Research and Development Program of China under Grant No.2022YFC3003601National Natural Science Foundation of China under Grant No.52478570+1 种基金Heilongjiang Provincial Natural Science Foundation Outstanding Youth Program under Grant No.J020245002the Key Research and Development Program of Xinjiang Production and Construction Corps under Grant No.2024AB077。
文摘The stochastic extended finite-fault simulation method(EXSIM)is a widely used tool in seismological research,with applications in ground motion prediction and simulation,seismic hazard analysis,and engineering studies.However,recent studies have revealed a significant limitation:EXSIM tends to overpredict ground motions in the low-to-intermediate frequency range,particularly for large thrust earthquakes that are often characterized by a double-corner-frequency source model.To address this issue and enhance simulation accuracy,this study introduces two key improvements:(1)a novel asperity-distributed stress-drop composite fault model and(2)a hybrid application of EXSIM with the composite fault model.The proposed method is validated through its application to the 2013 M_(w)6.7 Lushan earthquake that occurred in China and six thrust earthquakes with an M_(w)≥6.5 in Japan.By comparing the simulated ground motions with recorded data,the results demonstrate that the improved method achieves consistent accuracy across the high-and low-frequency spectrum(combined goodness-of-fit:CGOF<0.35).This study significantly broadens the applicability of stochastic finite-fault simulations,enabling more reliable predictions for a wider range of seismic scenarios,including complex thrust faulting events.
文摘为比较不同方法所得色泽参数的差异,探寻一种能够更加客观真实反映茶汤色泽的量化方法,选用36个六堡茶散茶样品为研究对象,分别采用3种不同方法提取茶汤的色泽参数,并对色泽参数进行模拟验证对比分析。结果表明,方法1基于Adobe Color CC和方法2基于Matlab的茶汤色泽量化分析方法所测定的不同茶样间色泽参数变化规律基本一致,而方法3直接采用台式色差仪所测定结果与方法1和方法2相比有明显差异,色泽参数相关性分析表明这些差异主要在于茶汤黄度值的变化不同。采用人工神经网络分析模型发现,上述3种方法所得色泽参数对汤色得分的预测准确度分别为86.1%、83.7%和63.8%。以实际茶汤色泽为参考,通过色泽参数模拟验证对比分析发现,基于计算机视觉的图像采集装置结合Adobe Color CC的茶汤色泽参数提取方法能够更加真实地反映出六堡茶茶汤的实际色泽,表明该方法有望为茶汤色泽的量化分析提供一种相对客观、准确的分析检测方法。
