Department of Civil and Environmental Engineering

A tale of two complementary paradigms for urban water sustainability: A computational fluid dynamics machine learning model of water treatment optimization versus urban recovery/reuse in the circular economy

A tale of two complementary paradigms for urban water sustainability: A computational fluid dynamics machine learning model of water treatment optimization versus urban recovery/reuse in the circular economy

On Wednesday 12nd July, a seminar entitled “A tale of two complementary paradigms for urban water sustainability: A computational fluid dynamics machine learning model of water treatment optimization versus urban recovery/reuse in the circular economy”...