M. Safari

Assessing urban water consumption dynamics using machine learning and spatial variables under normal and pandemic conditions: A case study

This study developed a spatially explicit framework to estimate household water consumption (HWC) and the number of household water subscribers in each consumption class (NHWSCC) using land surface temperature (LST), land value, and elevation. Three machine-learning (ML) models were applied: symbolic regression (SR),...