Maria Almeida Silva, Conceição Amado, Dália Loureiro
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引用次数: 0
Abstract
Water utilities face challenges in managing non-revenue water, which encompasses unbilled authorised consumption, leaks, bursts, authorised consumption errors, and unauthorised consumption. Several approaches have been developed to address these issues. Most existing methods focus on estimating individual components of non-revenue water, rather than considering all aspects comprehensively. The installation of smart water meters has significantly reduced unmetered billed consumption, addressing issues related to the absence of water meters in some customer locations or difficulties in systematic meter reading. Water utilities can obtain a comprehensive view of non-revenue water over time by combining the billed metered consumption time series obtained with smart meters with the network flow time series. Partitioning the non-revenue water time series into several components, each representing a different pattern in the data, can help one better grasp the underlying patterns. In this paper, time series decomposition techniques reveal hidden non-revenue water components, allowing the water utilities to create a network strategy to reduce water losses. Several decomposition methods were applied, and the best reliable results were achieved with Singular Spectrum Analysis.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.