We recruited fifty-four boys, mostly from Bugisu, and started training them at Nachingwea. Unfortunately, once again, these boys had not been well selected. They had been working mostly in towns like Nairobi and had a kiyaye (lumpen proletariat) culture. They began misbehaving in the Frelimo camp and soon after their training, the Tanzanian government dispersed them. I took personal charge of the Montepuez group and stayed with the boys during the training months in Mozambique because I feared that some of the recruits might be undisciplined bayaye, like those of , and they might have caused us problems. With my presence in the camp, however, we were able to suppress most of their negative tendencies and attitudes."
Problem statement:The study area is frequently subjected to landslides especially alongside the E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model with the aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce a landslide susceptibility map to the area. Approach: A landslide location map of the study area was prepared based on the interpretation of aerial photographs, previous landslide maps and field surveys. In addition, ten relevant thematic maps representing considered factors were extracted from the constructed spatial database. Slope gradient, slope aspect, elevation, distance to road and drainage density, all were calculated from the topographic database; lithology, strata dip map and foliation dip map were generated from the geologic database; lineament density was prepared from Landsat-7 (ETM+) satellite image; and a soil map was prepared from the soil database. Results: relationship between landslides and instability factors was statistically evaluated by frequency ratio analysis. The results suggested that distance to road, lineament density and slope gradient are the most important factors effecting landslides. Frequency ratio values were used to produce the Landslide Susceptibility Index (LSI) with which the study area was divided into five zones of relative landslide susceptibility. Conclusion: The results of the analysis have been validated by calculating the AUC which shows an accuracy of 88.31% in the case of success rate curve and 84.68 % in the case of the prediction rate curve, indicating a high quality susceptibility map obtained from the FR model. The map could be used by decision makers as basic information for slope management and land use planning.
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