This study is a revised inventory of landslides triggered by the Rudbar-Manjil earthquake (Mw = 7.3), 1990, obtained through the study of Komak Panah and Hafezi Moghadas (1993), interpretations of the stereoscopic aerial photos, and field data. We mapped the 223 coherent landslides with a total area of 11.3 km² and a calculated volume of 3.8 × 10⁸ m³ using a digital elevation model (DEM, 12.5 m) within the geographical information system (GIS) software. The correlation between landslide occurrence (size and distribution) and the controlling factors was analyzed using the bivariate model and the linear automated modeling (LINEAR) procedure in the SPSS software. Both LINEAR models of landslide volume (LV, m³) and landslide area (LA, m²) indicate the distance from the fault surface rupture is the most influencing factor on size prediction of coseismic landslides. The LA is more dependent on seismic factors, whereas the LV is on the lithology and topographic factors. The result of principal component analysis (PCA) model, using the GIS, showed that most landslides occurred in the red band (including 95% of the variance of controlling factors). Thus, the selected factors to investigate the landslide occurrence are valid and the PCA can be used to identify regions prone to coseismic landslides. The curves of landslide number density (LND, landslides/km²), landslide area percentage (LAP, landslide area/total area%), LA, and LV have a multimodal distribution (several patterns of response) by the topographic and seismic factors. It is recommended that other models be applied to better investigate the local effects of factors on the coseismic landslides.

这项研究是对1990年Rudbar-Manjil地震（Mw = 7.3）触发的滑坡的修订清单，该研究是通过对Komak Panah和Hafezi Moghadas（1993）的研究，对立体航空照片的解释以及野外数据获得的。我们使用地理信息系统（GIS）软件中的数字高程模型（DEM，12.5 m）绘制了223个相干滑坡，总面积为11.3 km ²，计算出的体积为3.8×10 ⁸  m ³。使用SPSS软件中的双变量模型和线性自动建模（LINEAR）程序分析了滑坡发生（大小和分布）与控制因素之间的相关性。滑坡体积（LV，m ³）和滑坡面积（LA，m的LINEAR模型）²）表明距断层表面破裂的距离是对同震滑坡大小预测的最大影响因素。洛杉矶更依赖于地震因素，而LV则取决于岩性和地形因素。使用GIS的主成分分析（PCA）模型的结果表明，大多数滑坡发生在红色带（包括95％的控制因素方差）。因此，调查滑坡发生的选定因素是有效的，并且PCA可用于识别容易发生同震滑坡的区域。滑坡数密度曲线（LND，滑坡/ km ²），滑坡面积百分比（LAP，滑坡面积/总面积％），LA和LV受地形和地震因素影响具有多峰分布（几种响应模式）。建议使用其他模型来更好地研究因素对同震滑坡的局部影响。