The aim of the present study was to produce an earthflow susceptibility map for the city center and environs of the province of Rize located at the Northeastern part of Turkey. The study area is the rainiest region of Turkey, and due to the triggering effect of precipitation earthflows are frequently observed in and around the study area. Besides this point, weathered rock units and steep topography accompany with precipitation for the occurrence of earthflow cases. Considering this point, an earthflow susceptibility mapping was inferred to be a necessity for the area. Parameters, such as lithology, slope gradient, slope aspect, topographical wetness index (TWI), stream power index (SPI), slope curvature, and sediment capacity index (LS) were considered to be earthflow conditioning parameters. A multi-temporal earthflow inventory map for a period of 4 years (2011–2015) was initially generated by way of remote sensing approach and field surveys. Earthflow susceptibility map was produced using the logistic regression method after which the produced susceptibility map was validated. The mapped earthflows were separated into two groups prior to modelling and validation. The first group was for training and the second group was for validation steps. The accuracy of the model was measured by fitting them to a validation set of mapped earthflows. Area under curvature (AUC) approach was applied for validation purposes. The prediction capability of the earthflow susceptibility map produced can be regarded as acceptable in accordance with the AUC values of 0.62 for the logistic regression model. Based on these results, the obtained earthflow susceptibility map can be used to mitigate hazards related to landslides and to aid in land-use planning for the Rize city center.

本研究的目的是为位于土耳其东北部的里泽省的市中心和周边地区绘制地磁敏感性图。研究区域是土耳其最多雨的地区，由于降雨的触发作用，研究区域内及其周围经常观察到泥石流。除此之外，风化的岩石单元和陡峭的地形还会伴随降雨而发生土流。考虑到这一点，推断出该地区有必要进行地流敏感性地图。诸如岩性，坡度，坡度，地形湿度指数（TWI），流功率指数（SPI），坡度曲率和泥沙承载力指数（LS）等参数被视为地流调节参数。最初通过遥感方法和现场调查生成了一个为期4年（2011-2015年）的多时相土流清单图。使用logistic回归方法制作了地流敏感性图，然后验证了所产生的敏感性图。在建模和验证之前，将映射的土流分为两组。第一组用于培训，第二组用于验证步骤。通过将模型拟合到一组经过验证的映射土流中来测量模型的准确性。曲率下面积（AUC）方法用于验证目的。根据逻辑回归模型的AUC值为0.62，可以将生成的土流敏感性图的预测能力视为可接受。根据这些结果，