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Study on Associative Relationship Impact on Water Quality Index Attributes
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 59 - Number 9 |
| Year of Publication: 2012 |
| Authors: Anni Prabakaran, B Poorna |
10.5120/9579-4057
|
Anni Prabakaran, B Poorna . Study on Associative Relationship Impact on Water Quality Index Attributes. International Journal of Computer Applications. 59, 9 ( December 2012), 33-38. DOI=10.5120/9579-4057
Abstract
The computational approach is adopted and customized, as per the demand and requirement of scientific applications. The computational process is used for weather forecasting, land change detection and many more environmental applications. The Water Quality Index (WQI) computations are a process to determine the level of water in line to the purity determination and water sharing and utilization process. The WQI determination processes depend on the combinational factors of physical, chemical and biological attributes. The WQI attributes are identified and the computation is made on the selected variables to identify the dependency and association factors. The associative relationship impact on WQI computation process is derived and executed with the observed data and the result is presented in this paper.
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