Author(s): Del Piero R. Arana-Ruedas; Edwin Pino-Vargas; Sandra Del Aguila-Rios; Lia Ramos-Fernandez
Linked Author(s): Edwin Pino-Vargas
Keywords: Rtificial Intelligence Flood Peru Spatial Analysis Tropical Andes
Abstract: Global warming has altered temperature and precipitation patterns, affecting the hydrological cycle and increasing the frequency, duration and severity of events such as droughts and floods. Floods, in particular, generate significant ecological, human and economic losses, exacerbated by urbanization and high population density. In the Peruvian Tropical Andes (PTA), agricultural communities depend on rainfed farming systems, making them vulnerable to water availability changes. This research evaluates floods in the Peruvian Tropical Andes (PTA) using morphometric analysis of watersheds, the Standardized Precipitation and Evapotranspiration Index (SPEI), geospatial techniques and machine learning. It is expected to identify sub-watershed risky levels maps, locally wet events deportment, sub-watershed susceptibility maps and develop predictive flood models. The results seek to optimize water resource management, plan infrastructure and create early warning systems to mitigate the impact of future extreme events.
Year: 2025