The generation of landslide present in the municipality of Capitanejo (Santander-Colombia) is conditioned to lithological, structural and morphometric factors that are related to the climatic activity. These factors describe a pattern of instability in the rocks, which generates falls, slides and flows. These conditions are seen in the results of a neural network model generated with the backpropagation algorithm. This model presented the conditions of the study area evaluated by the degree of susceptibility to landslide. The model predicted 92.86% of the data that were not entered in the learning module, which represents 50% of the landslides mapped in the region. This simulation generates different levels of susceptibility to landslide from very low to very high. In the study area, a tendency for moderate to very high susceptibility to landslides was found for the margins of the Chicamocha river valley. In turn, this area presents the largest number of active processes (falls and flows), which generates a problem that affects several levels within the sectors of production, communication and infrastructure of the community of Capitanejo.

The dynamic behavior of the basins evaluated by their morphometric parameters establishes a relationship with the endogenous and exogenous factors of the earth that control the modeling of the rocky massif by weathering and erosion processes. The characterization of these relationships can define the degree of affectation of the surfaces and the agents that control them as a categorical element in the definition of scenarios within the planning of physical and natural territory. This evaluation considers parameters contained within the characterization of the relief, shape and texture of the drainage and the mobility of the flow in the basin. As a result of this evaluation, three factors were obtained that control the processes in the basins: a tectonic structural factor followed by climate control and, finally, seismic activity that plays an important role in the mechanical weathering of surfaces. The correlation of these factors showed that the Umpalá, Guaca, Río Negro, Cantabara and La Cureña basins display a high degree of physical and mechanical weathering of the rocky massif and that the Manco, Talarcuta, Las Pavas, Felisco and El Abra basins are more likely to generate torrential flows. The joint evaluation of these parameters provides a useful tool to understand the dynamic behavior of basins and their impact on anthropogenic setting.

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