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What is Detection and Attribution of Eco-Hydrological Alteration about?

This study investigates eco-hydrological alterations in the Upper Dulong-Irrawaddy River Basin using a deep learning model to fill data gaps and analyze hydrological changes due to climate change and human activities. The research highlights significant disturbances in hydrology post-1998, with human activities contributing to 70% of runoff reduction. Findings aim to inform regional water resource management and conservation efforts in data-scarce regions.

Author

FranciscoFreitas

Language

EN