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What is Drought Assessment in Kabul Basin Using ML about?

This research assesses meteorological droughts in the Kabul River basin using machine learning techniques to understand the impact of climate change on drought patterns. It employs models like XGBoost, ANN, SVR, and LSTM to analyze historical meteorological data and predict future drought scenarios under different greenhouse gas emission trajectories. The findings aim to enhance drought forecasting, inform water resource management, and support sustainable practices in the region.

Author

Egineer Shabir jan

Language

EN