Author/s:
Shuokr Qarani Aziz1, Khalat Khalid Muhammed1*
1Department of Civil Engineering, College of Engineering, Salahaddin University-Erbil, Erbil, Kurdistan Region, Iraq
DOI: https://doi.org/10.31972/iceit2024.053
Abstract
This study investigates stormwater harvesting’s combination of contemporary techniques with artificial intelligence (AI) as a viable urban water management strategy. Rapid urbanization and climate change are increasing challenges for cities, making efficient stormwater management essential for reducing floods, improving water quality, and advancing environmental sustainability. The research emphasises the benefits of cutting-edge infrastructure, such as permeable pavements and green roofs, which greatly lower runoff and enhance water retention. Moreover, the research explores the use of AI and machine learning methods in stormwater modelling and management, showcasing their potential to improve water collection tactics, forecast water quality indicators, and enhance decision-making. Case studies from cities such as Philadelphia and Singapore demonstrate the successful implementation of these technologies and their effectiveness in addressing urban stormwater issues.
Keywords: Artificial intelligence, Harvesting, Stormwater, Sustainability.