Robustness and vulnerability assessment of water networks by use of centrality metrics

نویسندگان

  • A. Agathokleous
  • C. Christodoulou
  • S. E. Christodoulou
چکیده

The reliability of a water distribution network (WDN) is a function of several time-invariant and time-dependent factors affecting its components and connectivity, most important of which have been shown to be the network's topology, its operating pressure, the type of key components (such as the diameter, length, material and age of water pipes) and the network's historical performance (such as the number of previously observed failures in the network). In terms of network topology, this attribute even though generally thought as time-invariant it actually is timedependent, as the paths in a water distribution network change over time based on the hydraulics in the network (water demand and water pressure/flow alter the way water flows in the piping network). The work described herein examines the time-dependent nature of a WDN topology and by means of a betweenness centrality index (BC) method demonstrates the effect of topology on the network's vulnerability / reliability. The importance of the BC index is demonstrated by use of a case-study water distribution network operated under both normal and abnormal conditions. The proposed method is also coupled with spatial mapping to indicate areas of concern in the network, and with a decision support system to assist in prioritizing actions to improve on the network's robustness and resilience.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

VULNERABILITY ASSESSMENT OF WATER DISTRIBUTION NETWORKS: GRAPH THEORY METHOD

The main functional purpose of a water distribution network is to transport water from a source to several domestic and industrial units while at the same time satisfying various requirements on hydraulic response. All the water distribution networks perform two basic operations: firstly the water network needs to deliver adequate amounts of water to meet specific requirements, and secondly the...

متن کامل

Rate of Use of Health Information of Mass Media and Virtual Social Networks among Citizens of Tehran: A Population Study

Aims: Many information sources, including mass media, are trying to play an important role in health-promoting of people in society through increasing their health information. The aim of the present study was to investigate the rate of use of health information, presented in mass media and virtual social networks among citizens of Tehran. Instruments & Methods: This cross-sectional descriptiv...

متن کامل

The Influence of Location on Nodes’ Centrality in Location-Based Social Networks

Nowadays, due to the widespread use of social networks, they can be used as a convenient, low-cost, and affordable tool for disseminating all kinds of information and data among the massive users of these networks. Issues such as marketing for new products, informing the public in critical situations, and disseminating medical and technological innovations are topics that have been considered b...

متن کامل

Evaluation of Water Resources Exploitation in a Karst Region Using Intrinsic Vulnerability Assessment

Groundwater vulnerability assessment is of crucial importance for land use/cover management. Some methods have been proposed specifically for the karst hydrogeological settings. Among them, COP and PaPRIKa, as two commonly applied recent methods, were adopted for the resource vulnerability assessment of a humid temperate karst region, north of Iran. Comparison of water bacterial content and dis...

متن کامل

Efficient and Accurate Robustness Estimation for Large Complex Networks

Robustness estimation is critical for the design and maintenance of resilient networks, one of the global challenges of the 21st century. Existing studies exploit network metrics to generate attack strategies, which simulate intentional attacks in a network, and compute a metric-induced robustness estimation. While some metrics are easy to compute, e.g. degree centrality, other, more accurate, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017