## 8 Discussion  
From the development of the present study, it was demonstrated in practice that AGD is indeed manifested and can be feasibly measured and monitored to determine changes in the magnitude of the resistance and saturation parameters of the soil that influence the safety factor to predict failure. This conclusion is validated by the fact that all explorations carried out (both direct and indirect) in the different scenarios showed that the deterioration of ground capacity is measurable and comparable. If a specific case is to be implemented, the geotechnical history must be available since computer programs rely on methods that use historical data to predict potential results based on certain scenarios [15]. Therefore,  
Figure 16: Variation in the results using the slope variation infinite slope method. if such history does not exist, it must be constructed in order to apply it, as it was in this research at a scale of 1:5000. From this scale onward, periodic measurements must be taken and correlated with simulations of possible scenarios. In comparison with geotechnical zoning methodologies, this research work differs because it establishes an applied prediction method based on the AGD concept, which should be applied and strengthened in future research. Most of the current prediction methodologies correspond to smaller scales (1:100,000 and 1:25,000) based on the identification of evidence of changes in geoform and vegetation cover, as proposed under the same AGD concept in the first article (scale 1:25,000). The present research contributes to better prediction because it contemplates greater detail through AGD measurements with direct and indirect tests at the 1:5000 scale that correlated and established interdependence with the results of other scales. Although the GSC 1:25,000 scale zonification methodology, the F.S. equation using the infinite slope method, the Monte Carlo method, and the direct and indirect tests are well known individually, the strength of this work lies in the systematic organization and interrelation between these methods, specifically oriented toward the measurement and monitoring of AGD. As with all research, achieving greater certainty in evaluations requires a large amount of data, which is often unavailable. The advantage of this research is that to counteract this difficulty, it makes use of certain data in different scenarios that have already occurred, which allows the models to be calibrated. These scenarios include a fault that occurred three decades ago, conditions prior to the fault in 2017, immediately after the fault in 2021, and two years after the fault in 2023. It is important to keep in mind that faults are not only related to precipitation thresholds, as evidenced by the accumulated rainfall magnitudes (Table 9), which were similar to those in 2021, yet no landslides occurred during these occasions. To complete this research, which, in the first article, was focused on a regional scale (1:25,000) and in the present document is based on a semi-detailed scale (1:5000), it was necessary to establish a method at a more detailed scale, such as 1:2000, which includes cross-sections of the slope in areas where the \"sieving axis\" resulted in a high hazard category. The perspective focused on the design of possible solutions that allow the operation of the infrastructures that operate in the study area and their functionality over time in the face of the constant AGD already identified, which will be the main topic for future research. The methodology established in this research should be defined under the same concept of AGD and its relationship with its prediction, which was the fundamental objective. The analysis of these sections should include sudden rotational and translational failures by means of force analysis methods such as limit equilibrium. In the case of sliding, slow, reptation-type failures, while not involving significant travel distances, can still impact the integrity and operation of houses, roads, and transportation lines.