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Information Theory & Optimization for Location of Sensors in Water Distribution for Contaminant Detection

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Abstract: The fresh drinking water is basic need of every human being. With the increase in population the dependency on water resources increasing day by day which are all ready in scared. But the population expands on the banks of rivers, nalas, and lakes or on water ponds. Because in this they can easily access water and there sewerage enters in these water bodies. In this way the lakes and water resources polluted which are dangerous for the health of downstream population. The Rawal Dam is a key water supply resource for citizens of Rawalpindi and cantonment. The increasing population nearby of this dam such as Bari Imam, Noor pur shahan, Banigala, diplomatic Enclave and Quiad-e-Azam University contributing a lot of contamination in the dam. The increasing in the technology there are a number of new and advanced system which can be used for detection of contamination and alarming systems to alarm about any contamination before it happened. There are a number of different types of sensors which are using for detection of contamination. The use of GIS (Geographic Information System) with sensors to detect about exact location and analysis that how much it effects can easily perform. In this paper the focus area is that how different sensors which are used for detection of different sensors can be integrated to detect of different contaminations for water resources or water distribution channels.

General Terms: Geographic Information System (GIS)
Keywords: service-oriented architecture (SOA), Remote Sensing (RS), Sensors, GPS (Global Position System), Relational Database, watershed, sensors ontology, TDS (Total Dissolved Solids), CWS (contamination water systems), SPOT (Sensor Placement Optimization Toolkit)

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