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Flood Prediction Using ANN in Kenya by kqjdj89u7 is a document available to read on EtoBox.
The study utilizes an artificial neural network (ANN) model to predict flood occurrences in the ungauged River Perkerra catchment in Baringo County, Kenya, based on historical rainfall and discharge data. The model achieved a high correlation with an R² of 0.949, indicating its effectiveness in predicting extreme flood events associated with socioeconomic losses. This research aims to assist local authorities in implementing flood mitigation strategies and improving water resource management in the region.
- Author
- kqjdj89u7
- Language
- EN