£174.63

CRC Press Pattern Recognition for Water Network Reliability

Name: CRC Press Pattern Recognition for Water Network Reliability
Brand: CRC Press
Price: 174.63 GBP
Availability: InStock

Environmental

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Description

This specialized study provides a deep look into the reliability of water distribution networks through the lens of pattern recognition. Based on a UNESCO-IHE PhD thesis, the research examines how node connectivity, energy balance, and the economics of construction, operation, and maintenance impact overall system performance. Readers will find a range of newly developed measures designed to evaluate network resilience. These tools allow for more accurate diagnostics when facing both regular and irregular demand scenarios. By focusing on the configuration and hydraulic performance of a network, this work offers a methodology for snap-shot assessments of reliability. This research serves as a technical foundation for engineers and researchers looking to understand the stability of water systems. A practical outcome of this study is the development of a decision support tool, making the theoretical findings applicable to real-world water management and infrastructure planning.

Key Features

Analyzes network reliability through node connectivity, energy balance, and economic factors including construction and maintenance.

Provides new measures to evaluate network resilience and improve diagnostics for various demand scenarios.

Offers a methodology for snap-shot assessments based on hydraulic performance and network configuration.

Includes a practical decision support tool derived from the research outcomes for real-world application.

Based on rigorous UNESCO-IHE PhD thesis research for academic and professional reliability assessment.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138474444
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Civil Engineering > Environmental
Domain: Amazon UK
Release Date: 10 November 2017
Listed Since: 09 January 2018

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CRC Press Pattern Recognition for Water Network Reliability

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