P. Mohan Doss, M. M. Rokstad, D. Steffelbauer, F. Tscheikner-Gratl
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引用次数: 0
Abstract
ABSTRACT In recent decades, research on leak detection and localization in water distribution networks has been an area of growing interest in both water management and fault detection. In the literature, numerous leak localization techniques were developed from model-based methods (such as steady-state and quasi-steady state) and data-driven/machine learning models (e.g. time series modeling, prediction, and classification). However, there is still a need for study on the definition and enumeration of various sources, types, and nature of uncertainties in leak localization modelling processes. In the context of steady-state analysis, this review paper’s main objective is to list the uncertainties related to model-based, data-driven and hybrid methods. This review outlines that, for the three classes of methods, the interplay of uncertainties with the modelling approximations jointly influences the localization performance and are often overlooked. Furthermore, realization of modelling assumptions and error propagation is needed for a successful real-world implementation.
期刊介绍:
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...