Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 495212
Title Pipe failure predictions in drinking water systems using satellite observations
Author(s) Arsénio, André Marques; Dheenathayalan, Prabu; Hanssen, Ramon; Vreeburg, Jan; Rietveld, Luuk
Source Structure and Infrastructure Engineering 11 (2015)8. - ISSN 1573-2479 - p. 1102 - 1111.
DOI https://doi.org/10.1080/15732479.2014.938660
Department(s) Sub-department of Environmental Technology
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) failure analysis - pipe networks - satellite observations - underground infrastructure - water supply
Abstract

Soil deformation is believed to play a crucial role in the onset of failures in the underground infrastructure. This article describes a method to generate a replacement-prioritisation map for underground drinking water pipe networks using ground movement data. A segment of the distribution network of a Dutch drinking water company was selected as the study area. Failure registration data comprising 868 failures registered over 40 months and geographical network data were obtained from the water utility. Ground movement was estimated using radar satellite data. Two types of analyses were performed: cell and pixel based. For the cell-based analysis, asbestos cement (AC) pipes exhibited the highest failure rates. Older AC pipes were also shown to fail more often, whereas failure rates for PVC were the lowest. For the pixel-based analysis, ground movement was demonstrated to play a role in the failure of all materials combined. Therefore, a replacement-prioritisation map for AC was generated which combined ground movement data and pipe-age data. This method can be a beneficial resource for network managers for maintenance and continuous monitoring.

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