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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
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Indicators of equipment management of network sanitation


Volume 33, Issue 1, October 2017, Pages 40–44

 Indicators of equipment management of network sanitation

Armand MBADINGA1, Aniss BAKKALI2, Driss FAHMI3, Mostafa STITOU4, and Driss EL OUAHDANI5

1 Department of Chemistry, Laboratory of Water, Study and Analysis of the Environment, Host Unit: Micropollutants and Environmental Analysis, Faculty of Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco
2 Department of Chemistry, Laboratory of Water, Study and Analysis of the Environment, Host Unit: Micropollutants and Environmental Analysis, Faculty of Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco
3 Department of Chemistry, Laboratory of Water, Study and Analysis of the Environment, Host Unit: Micropollutants and Environmental Analysis, Faculty of Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco
4 Department of Chemistry, Laboratory of Water, Study and Analysis of the Environment, Host Unit: Micropollutants and Environmental Analysis, Faculty of Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco
5 Department of Chemistry, Laboratory of Water, Study and Analysis of the Environment, Host Unit: Micropollutants and Environmental Analysis, Faculty of Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco

Original language: English

Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


This communication talks about the methodological problem of ornamental the results of visual inspections for the assessment of the anomaly level of the object of study. This question is studied on the case of sanitation networks but the results can be transferred to other areas. The anomaly level can be defined by three arguments: specialist rules, comparison of a summary note with threshold values and analysis of a longitudinal profile. The calibration of the threshold values requires comparison of the results of assignment of anomaly levels with the statements of the specialists serving as reference. We propose a calibration index that takes into account the costs associated with the different allocation errors.

Author Keywords: Sections, absolute, anomaly, ranking, indicator, Assignment error, visual inspection, imprecise, Sewerage network, Threshold setting.


How to Cite this Article


Armand MBADINGA, Aniss BAKKALI, Driss FAHMI, Mostafa STITOU, and Driss EL OUAHDANI, “Indicators of equipment management of network sanitation,” International Journal of Innovation and Scientific Research, vol. 33, no. 1, pp. 40–44, October 2017.