Shallow Landslide Susceptibility Analysis Using a Mathematical Model in a Drainage Basin in Barreiras Formation
Geotechnical Characterization. Susceptibility Analysis. Trigrs Model. Stability Analysis
The Recife Metropolitan Region (RMR) is well known due to the occurrence of mass movements during the rainy months and presents a vast history of landslides with fatal, non-fatal victims and destruction of properties over the years. The study area is a drainage basin (with 6.16 km2) that includes areas of the cities of Recife-PE and Jaboatão dos Guararapes-PE. Given the vulnerability of this location, this thesis purpose is to develop shallow landslide susceptibility maps in the study area using a mathematical model, TRIGRS; analyze the performance of this model applying the LR CLASS methodology and perform the unsaturated stability analysis of a hillslope in the study area using theLimit Equilibrium Method,through the integration between SEEP/W and SLOPE/W. The susceptibility was divided into two scenarios. Scenario A, considering the constant geotechnical parameters for the entire area, and Scenario B, considering the spatialized geotechnical parameters. For each scenario, were performed analyses considering saturated (Type 1) and unsaturated (Type 2) infiltration. The unsaturated stability analysis was performed considering rainfall infiltration (Hypothesis 1) and rainfall infiltration more wastewater disposal infiltration (Hypothesis 2), for different initial suctions. The validation of the susceptibility analysis, of Scenario A, did not show significant differences between the Type 1 and 2 analyses. The validation of the susceptibility analysis, of Scenario B, showed that the Type 2 analyzes were, in general, more accurate. The results of the unsaturated stability analysis showed that they were able to predict the failure that occurred in the field, but there were no significant differences between the results of Hypotheses 1 and 2, indicating the little influence of wastewater disposal infiltration in the calculation of the Safety Factor.