Academic in style and content, Arsene’s text explores the technical aspects of water distribution networks.
Mathematical models of water distribution systems (closed conduit hydraulics), the topic of this book, are reviewed before introducing the loop corrective flow simulator algorithm—the author’s primary tool. An estimator technique that is suitable for online monitoring of water networks, Arsene’s major contribution, together with confidence limit analysis algorithms based on the novel loop flows state estimator, make up the main body of the work. And after discussing the role of artificial neural networks to these mathematical models, the book concludes by pulling all of the previous material into what the author claims to be an “effective and efficient operational decision support for water distribution systems.” Though the book is primarily based around water distribution systems (or networks), the principles and conclusions apply to any distribution system, such as gas or electricity, which should increase the intended audience. Unfortunately, the book caries with it much of the formality of a Ph.D. dissertation (upon which it is based); however, due to the nature and topic of the book, and its intended audience, this should be expected. As well, given that much of the technical language of his research papers is missing and topics such as artificial neural networks with its associations to fuzzy logic and artificial intelligence and learning are included, many not within the direct scope of the intended audience should find something of interest. The mathematical background necessary is not much more than some linear algebra, statistics and advanced calculus; however, a degree of mathematical maturity is needed. A familiarity with some basic notions of networks and some general principles of chaos theory—specifically dynamical systems—though not necessary, will certainly help the uninitiated.
A focused, technical work that should find interest among its intended audience.