Assessment of physical and chemical indicators on water turbidity

Dragoljub Miljojkovic, Ivana Trepsic and Milos Milovancevic

Physica A: Statistical Mechanics and its Applications, 2019, vol. 527, issue C

Abstract: The main aim of the study was to effects evaluation of physical and chemical indicators on water turbidity by data mining algorithm. In order to perform the evaluation experimental measurements were performed to acquire data for the statistical analysis. The data represents the physical and chemical properties of clean water. Adaptive neuro fuzzy inference system (ANFIS) was used as data mining algorithm to determine the effects of chemical and physical indicators on water turbidity. The obtained results could be used to improve and to maintain the quality of the clean water.

Keywords: Clean water; Chemical; Physical; Data mining; Statistics (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119307022

DOI: 10.1016/j.physa.2019.121171

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