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Parizek (1976) showed that wells on lineaments (faults) in Pennsylvanian limestone produce more water than wells that are located away from lineaments.
Ten factors which influence landslide occurrence, i.e., slope, aspect, curvature, distance from drainage, lithology, distance from lineaments, soil type, landcover, rainfall precipitation, and normalized difference vegetation index (ndvi), were extracted from the spatial database and the logistic regression coefficient of each factor was computed.
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Distance from lineament and landslides showed a strong relationship.
The distance from lineament and distance from rivers are obtained from multiple ring buffering operation.
The proximity distance from fault was identified by buffering from lineament or fault map.
As the distance from lineament decreases, the frequency ratio values become higher.
The surface rupture intensity is also influenced by distance from lineament or fault and ground conditions.
A dense fracture network inferred from lineament analyses is completed by observations in the existing tunnel and resistivity measurements.
The landslide factors used in this paper include lithology, distance from lineament, land use, distance from river, slope, aspect, plan and profile curvatures (Figure 4).
As can be seen in Table 1, the frequency ratio values for the distance from lineament showed higher values in the distance range of 0 to 200 m.
Database construction for landslide factors (slope, aspect, profile curvature, plan curvature, lithology, land use, distance from lineament & distance from river) and landslide inventory map is an important step in landslide susceptibility modelling.
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