Computaional Complexity Analysis on Water Quality Index
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 9
Abstract
The computational algorithms are used to determine the features and applications from large data sets in real time environment. The computational applications are also used in environmental computing to evaluate the degree of air, water and sound pollutions and measures of prevention. The computational process of water quality index (WQI) is determined through analysis of water quality attributes. Though existing methods produced WQI with certain water quality attributes according to the nature and need of the applcations but it is not applicable to all other water quality attributes and the WQI computation procedures. The computing methodology of WQI is to be standardised for the assessment of the water quality which is applicable to all the domains in the same standard assessment process. Therefore, the complexity of computing the WQI value is analysed. In this paper, to evaluate the computational procedure, the WQI was computed by considering two different approaches classified into 9 water quality attributes by assigning standard weights and 6 attributes with different weights as a model. The same computation was carried out with possible combinational attributes analysis. The comparative study was made and the computational complexity is presented as part of this paper.
Authors and Affiliations
Research Scholar, , Shosun Jain
Keywords
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