气候变化领域集成服务门户(CCPortal): Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency

CCPortal

DOI	10.1016/j.pce.2024.103592
	Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency
	Kanyama, Maria Nelago; Shava, Fungai Bhunu; Gamundani, Attle M.; Hartmann, Andreas
发表日期	2024
ISSN	1474-7065
EISSN	1873-5193
起始页码	134
卷号	134
英文摘要	Smart Water Metering Networks (SWMNs) stand as pivotal infrastructure, crucial for communities and industries. The escalating value of water resources due to climate change and overexploitation underscores the urgency of optimizing these networks for efficiency and resilience. This study focuses on identifying anomalies within SWMNs to address challenges impeding efficient water resource management. Leveraging a comprehensive 72month dataset from Windhoek, Namibia, this research employs a meticulous analytical approach to unveil diverse anomaly types prevalent within SWMNs. Anomalies, including irregular consumption patterns, leakages, and inaccurate meters, contribute significantly to both apparent and real losses. By scrutinizing this dataset, the study reveals nuanced anomaly patterns like persistent zero consumption and unexpected fluctuations, highlighting the pervasive nature of these issues within the network. The findings not only shed light on these multifaceted anomalies but also lay the groundwork for future advancements in machine learning -based anomaly detection techniques. This research holds promise beyond academia, offering practical implications for water utility management. Identifying and understanding these anomalies serves as a stepping stone toward developing robust detection systems, ultimately fostering heightened efficiency and resilience in water networks. This study serves as a catalyst for strategic improvements, enabling more sustainable and efficient utilization of water resources amidst evolving environmental challenges.
英文关键词	Anomalies; Anomaly identification; Water efficiency; Water metering networks
语种	英语
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS记录号	WOS:001229112100001
来源期刊	PHYSICS AND CHEMISTRY OF THE EARTH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294389
作者单位	Technische Universitat Dresden
推荐引用方式 GB/T 7714	Kanyama, Maria Nelago,Shava, Fungai Bhunu,Gamundani, Attle M.,et al. Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency[J],2024,134.
APA	Kanyama, Maria Nelago,Shava, Fungai Bhunu,Gamundani, Attle M.,&Hartmann, Andreas.(2024).Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency.PHYSICS AND CHEMISTRY OF THE EARTH,134.
MLA	Kanyama, Maria Nelago,et al."Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency".PHYSICS AND CHEMISTRY OF THE EARTH 134(2024).