Title of article
IRA-WDS: A GIS-based risk analysis tool for water distribution systems
Author/Authors
K. Vairavamoorthy، نويسنده , , b، نويسنده , , *، نويسنده , , Jimin Yan a، نويسنده , , Harshal M. Galgale a، نويسنده , , Sunil D. Gorantiwar a، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2007
Pages
15
From page
951
To page
965
Abstract
This paper presents the development of a new software tool IRA-WDS. This GIS-based software predicts the risks associated with contaminated
water entering water distribution systems from surrounding foul water bodies such as sewers, drains and ditches. Intermittent water distribution
systems are common in developing countries and these systems are prone to contamination when empty. During the non-supply hours
contaminants from pollution sources such as sewers, open drains and surface water bodies enter into the water distribution pipes through leaks
and cracks. Currently there are no tools available to help engineers identify the risks associated with contaminant intrusion into intermittent
water distribution systems. Hence it is anticipated that IRA-WDS will find wide application in developing countries. The paper summarises
the details of the mathematical models that form the basis of IRA-WDS. It also describes the software architecture, the main modules, and
the integration with GIS using a tight coupling approach. A powerful GUI has been developed that enables data for the models to be retrieved
from the spatial databases and the outputs to be converted into tables and thematic maps. This is achieved seamlessly through DLL calling functions
within the GIS. This paper demonstrates the application of the software to a real case study in India. The outputs from IRA-WDS are risk
maps showing the risk of contaminant intrusion into various parts of the water distribution system. The outputs also give an understanding of the
main factors that contribute to the risk.
Keywords
Contaminant intrusion , Developing countries , Intermittent water supply , GIS , Tight coupling , Water supply , risk assessment
Journal title
Environmental Modelling and Software
Serial Year
2007
Journal title
Environmental Modelling and Software
Record number
958733
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