Urban Water Distribution Networks: Assessing Systems Vulnerabilities, Failures, and Risks
Author | : | |
Rating | : | 4.86 (998 Votes) |
Asin | : | 0128136529 |
Format Type | : | paperback |
Number of Pages | : | 368 Pages |
Publish Date | : | 2015-11-01 |
Language | : | English |
DESCRIPTION:
Christodoulou is the author of several scientific publications, the recipient of significant research funding (including a prestigious award from the National Science Foundation, NSF) and the recipient of two international research awards (London, 1999; Athens, 2015).Agathoklis Agathokleous is a graduate of the Higher Technical Institute in Cyprus and the University of Surrey (UK, BEng). . He has also been elected as a lecturer at the School of Civil Engineering of the National Technical University of Athens (NTUA), Greece. His research field has been in Fluid Mechanics, speciali
His research field has been in Fluid Mechanics, specializing in shock wave and expansion wave interaction with turbulence, hot wire anemometry techniques using 3D velocity, and fully 3D vorticity probes.Dr. Dr. Savvas Xanthos has a background in Mechanical Eng., with specialization in experimental fluid mechanics (Ph.D. Christodoulou is the author of several scientific publications, the recipient of significant res
Includes vulnerability assessment methods for water distribution pipesDiscusses topological aspects and their effects on network vulnerabilityExplores analytical and numerical modeling methods for finding and analyzing systems vulnerabilities in water distribution networksFeatures real world case studies of networks under continuous and intermittent water supply operations. Water distribution networks engineers and system designers face multiple operational issues in delivering safe and clean potable water to their customers. Urban Water Distribution Networks: Assessing Systems Vulnerabilities and Risksprovides a methodology for a system-wide assessment of water distribution networks (WDN) based on component analysis, network topology and, most importantly, the effects of a network's past performance on its seismic and/or non-seismic reliability