地震動力學模型與觀測資料結合用以研究震源特性為未來趨勢。由於現有解析微地震震源的技術中，均有震源模型假設過於簡單的問題，因而對於了解震源特性產生偏差。透過動力學模型的計算我們可模擬地震破裂行為，使其自我破裂且遵守斷層本身物理特性(如：摩擦定律)，再加上斷層上不均質的物理特性，可以產生更接近於真實的複雜微地震破裂模型。我們將蒐集這些模型組建複雜微地震震源模型資料庫，並試圖了解現有地震源解析方法，對於複雜地震模型的使用限制和誤差範圍，進而改善這些方法及研發新的震源解析方法。動力學模擬應用於斷層行為的研究目前在台灣相對較缺乏，需加緊建置與國際接軌。由於複雜地震模型成因眾多(如：斷層初始應力狀態分布不均或斷層上岩性及物理特性不同)，我們將模擬上百個地震模型來組建資料庫，因此需要大量的運算資源進行動力學模擬，我們將使用多個台灣高速運算電腦叢集系統(如：國網中心台灣杉一號)進行研究。此外，透過動力學模擬及觀測資料結合，我們可以由複雜微地震震源特性了解地震由起始變大的可能動力學因子，對於未來減少地震災害做出貢獻。 ;Linking dynamic models and seismic observations to understand source properties of an earthquake is the next generation for the earthquake source studies. Such studies are especially important because that the source assumptions for the state-of-the-art seismological approaches are relatively simple and may bias our understanding of the source properties. Dynamic modeling can generate more realistic and complex source models spontaneously based on laboratory-motivated constitutive laws and investigate rupture behaviors of earthquakes, an area of rapid progress in the past two decades. Unfortunately, this promising research area is not well-represented in Taiwan at the moment. Here, we propose to establish a combined modeling and observational research program for earthquake source studies. Using dynamic modeling, we will build a library of high-resolution, physically realistic complex sources for microearthquakes. A high-performance computing cluster will be needed for this ambitious undertaking. Based on the library, we propose to evaluate and improve the available state-of-the-art approaches for inferring earthquake source properties from seismic data, including the spectral fitting methods and the second moment approach. Our ultimate goal is to identify and develop suitable approaches for determining source properties of realistically complex sources. Furthermore, according to the characteristics of the complex sources generated in this study, we can further investigate the process of the earthquake rupture growth, which is an important issue for seismic hazard assessment and catastrophe prevention.
