A COMPARATIVE STUDY OF THE BIVARIATE STATISTICAL METHODS AND THE ANALYTICAL HIERARCHICAL PROCESS FOR THE ASSESSMENT OF MASS MOVEMENT SUSCEPTIBILITY. A CASE STUDY: THE LM-116 ROAD – PERU

It has been long observed that the Peruvian Central Highway (PE-22) and LM-116 road are among roads most affected by mass movements (MM) in Peru, frequently exposed to occurrence of rockfalls, debris flow landslides; both represent an important connection alternative between Lima with towns, cities mining centers located Mountain Range Andes. In this research, firstly, a point density analysis was performed using Geographic Information Systems (GIS) considering network all Peru (composed 144,499 km) inventory geological hazards (GEOCATMIN) prepared Geological, Mining Metallurgical Institute INGEMMET (2000-2018). Subsequently, evaluation movement susceptibility on carried out free access data reported institutions (INGEMMET, MTC, MINAM) from which it possible elaborate thematic maps, including relevant factors movements, like slope, lithology, geomorphology, land use, drainage density, distance tectonic structures. Finally, for analysis, three methods have considered: Analytic Hierarchical Process (AHP), Statistical Index (Wi) Weights Evidence (WoE). The results were validated area under curve criteria (AUC). Both bivariate statistical (Wi WoE) presented prediction rate above 78%, higher WoE method. On other hand, semi-quantitative method (AHP) obtained values order 69%. Therefore, is concluded maps elaborated better approximation concerning database GEOCATMIN.