TECHNOLOGY FOR MODELING THE HYDRGENIC FACTOR ON A LANDSLIDE-PRONE MOUNTAIN SLOPE
Keywords:
landslide-prone slope, groundwater, neural network modeling, hydrogen factor, simulation model, Tien ShanAbstract
This article presents a technology for predicting groundwater level dynamics on landslide-prone slopes using a combination of simulation and neural network modeling. Based on hydrometeorological predictors and soil hydrogeological properties, a model was created that allows for the synthesis of a "hydrogeological hummock" curve for the upcoming period. The study identified the most significant factors influencing landslide activity and enabled early prediction of expected catastrophic mass displacements in the Tien Shan.
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