Editorial: Exploring the rise of Al-based smart water management systems

扫码查看

原文链接

NETL
NSTL

外文摘要：In an era where sustainable resource management is paramount, the emergence of Al-based smart water management systems stands as a game-changer. These systems are revolutionizing our approach to water resource management, promising a more sustainable and efficient future. Water scarcity is a pressing global issue exacerbated by climate change and population growth. Traditional water management methods often fall short in addressing this challenge. AI-powered systems, however, use data-driven insights to optimize water distribution from sourcing to consumption. AI's ability to collect, analyze, and act upon vast amounts of data in real-time is a key feature of these systems. They process data on weather patterns, water quality, infrastructure conditions, and consumption trends, enabling accurate water demand predictions. This empowers utilities to make informed decisions on water allocation and distribution. Predictive analytics is crucial, allowing early detection of network issues like leaks and bursts and reducing water wastage. Early adopters have reported significant water loss reductions, saving both water and money. Al-based systems also empower consumers to make informed choices about water usage through smart meters providing real-time consumption data. This fosters water conservation and responsible use.

作者：

Padam Jee Omar、Pankaj Gupta、Qi Wang

展开 >

作者单位：

Department of Civil Engineering, Babasaheb Bhimrao Ambedkar University (A Central University), Vidya Vihar, Lucknow 226025, India

Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Waterloo N2L 3G1, Canada

School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China

出版年：

2023

DOI：

10.2166/aqua.2023.005

Aqua: The quarterly bulletin of the International Water Supply Association

ISSN：0003-7214

年,卷(期)：2023.72(9/12)