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Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach

Environmental Studies and Forestry

Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach

A. T. Abraha, T. A. Woldeamanuel, et al.

This intriguing study, conducted by Abraha Tesfay Abraha, Tibebu Assefa Woldeamanuel, and Ephrem Gebremariam Beyene, delves into residential water consumption in Adama city, Ethiopia. It uncovers significant variances in water use across urban areas, emphasizing the urgent need for sustainable water management practices and conservation efforts.

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