The causes of landslides can be categorized into three factors: climate, topographic, and soil properties. In many cases, thematic maps of landslide hazards do not involve slope stability analyses to predict the region of potential landslide risks. Slope stability calculation is required to determine the safety factor of a slope. The calculation of slope stability requires the soil properties, such as soil cohesion, the internal friction angle and the depth of hard-rock. The soil properties obtained from the field and laboratory investigation from the western part of Central Java were interpolated using Inverse Distance Weighting (IDW) to estimate the unknown soil properties in the gridded area. In this research, the IDW optimum parameter was determined by validation toward the percent bias. It was found that the IDW interpolation using higher weighting factor corresponds with a higher percent bias in case of the depth of hard-rock and soil cohesion, while the opposite was found for the internal friction angle. Validation to landslide incidents in western parts of Central Java shows that the majority of landslide incidents occur at depths of hard rock of 6 m-8 m, at soil cohesions of 0.0 kg/cm2-0.2 kg/cm2, and at internal friction angles of 30°-40°.
<p>Numerousbuildingslocated in north area of Java Island encountersettlement problem. The settlementoccurs because most ofsoil in the areais soft clay soil. The behavior of this soilis characterized by the large value of coefficient compression (Cc) and small valueof bearing capacity. This condition causes potentially great consolidation settlement. In this research, limes column stabilization method will be applied to make soft clay soil better. Limes columns were expected to reduce Cc value therefore consolidation settlement decreases. This research was conducted throughlaboratory experiment, usingbox100 cm in lengths, 40 cm in wide, and 40 cmin height. Three variations of diameters (5 cm, 10 cm, 15 cm) and three variations of distance of sample taken from outside of the limes column mould (10 cm,20 cm, 30 cm) was applied in this research. Influence of limes column to the value of Ccwasexamined. The result of this research showsthat limescolumn couldsignificantlyreduceCcvalue. TheCc valuedecreases when thedistance of sample taking placedecreases. The average of Ccdeclineon three variationsdistance of column (10 cm, 20 cm, 30 cm)are 17.28%, 44.97%, 52.24%respectively. The most efficient distance of thelimes column is 20 cm.</p>
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