Abstract

This chapter addresses a methodology for using spatial and statistical analysis to discover the distribution of water mains failures in space. It provides a number of new ways of looking at water mains failure data and geographical relations among them. Points are used to indicate spatial occurrences of failures and their pattern. Data from Sanandaj city in Iran over a ten year period is analysed, including 395 mains failure. Point pattern analysis is applied to exploring spatial variation and identifying whether occurrences are interrelated. Measures of central tendency scores like mean center, weighted mean center and dispersion scores such as standard deviation distance and standard deviation ellipse help explain the level of dispersion in failure data. In addition, nearest neighbor analysis and quadrat analysis were performed to find the spatial pattern in the point distribution. The findings confirm that water mains failures tend to occur in cluster. This will enable more effective management of the water distribution network by ensuring that mains are rehabilitated or replaced in cluster areas.

This paper is only available in PDF Format:

  View full text PDF