2014年云南鲁甸Ms6.5级地震发生在构造、地形复杂的山区，造成严重灾害与异常规模的同震滑坡。地表疑似发震断层、余震分布、震源机制解等不一致，使判别真实发震构造困难，暗示可能的发震构造的复杂性。同震滑坡分布格局也显示出与一般震例不同的异常特征。依据过去对大量震例同震滑坡分布与发震断层、地形、岩性等主控因素之间相关性的统计分析，以及补充、验证后的与鲁甸地震有关的地震构造与滑坡数据，本项目拟用Newmark物理模型，分析震源构造与同震滑坡分布格局之间的相关性，并提出各因素贡献率概念，建立同震滑坡分布多因素因果关系新的表达式. 将研究区网格化，假设多种可能的发震断层模型，向每个网格单元输入相应的地震控制参数及地形、岩性、特殊地质条件等变量，计算拟合鲁甸地震的滑坡分布，为推测可能性最大的发震构造提供约束，加深对大陆内部地震成因和机制的认识，为利用同震滑坡空间分布特征反演震源构造探索新的途径。

The 2014 Ludian, Yunnan Ms6.5 earthquake occurred in a mountainous area with complex tectonics and topography, which caused serious damage as well as co-seismic landslides of an unusual large scale. Because the suspected seismogenic faults on the surface, distribution of aftershocks and focal mechanism solutions are not consistent, it remains difficult to determine what is the real causal fault or seismogenic structure for this event. Actually it may imply the complicity of the seismic source at depth. Meanwhile, the distribution of the co-seismic landslides also exhibits some diffusion that is different from general cases, likely associated with the source structure. This project will be based on statistical analyses of correlations between the co-seismic landslides, seismogenic fault, topography, and lithology, as well as the data of the Ludian event that are verified and supplemented by field work. Using the Newmark physical model, the relationship between the seismic source structure and landslide distribution will be further analyzed. The new concept of contribution ratio of each causal factor to landslide distribution is proposed, by which a new expression of multiple-factor causal relationship of co-seismic landslide distribution will be established. The study area will be gridded. Supposing three possible models of seismogenic faults, input the corresponding seismic parameters as well as other variables of topography, lithology, special geological conditions, etc. into each grid element. The observed distribution of co-seismic landslides is fitted by trial calculation using the above relationship and input variables, choosing the optimal model to provide constraints for determination of most possible seismogenic structure. It can offer new insights to improve understanding the cause and mechanism of major earthquakes within continents. This study also represents an effort to find new approach for inversion seismogenic structure using co-seismic landslide data, or even applicable to research of paleo-earthquakes that have relict co-seismic landslides at the scene.