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Optimizing water quality sampling through application of real time ionic concentration regression models
Author(s) -
S.M. Rajiur Rahman,
Renée Paterson
Publication year - 2015
Publication title -
water quality research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 44
eISSN - 2408-9443
pISSN - 1201-3080
DOI - 10.2166/wqrjc.2015.009
Subject(s) - sampling (signal processing) , water quality , environmental science , chloride , hydrology (agriculture) , chemistry , computer science , engineering , ecology , geotechnical engineering , organic chemistry , filter (signal processing) , computer vision , biology
The Water Resources Management Division of the Department of Environment and Conservation performs routine water sampling to measure the physical and chemical parameters of select water bodies in Newfoundland and Labrador. Ionic concentration parameter measurement is performed during routine water sampling to complement some of the key indicator parameters measured in real time at these select water bodies. The collection, laboratory analysis and measurement of water samples are a time consuming process. Some of the common conducting ions measured during routine sampling are sodium, calcium, chloride and sulphate. These conducting ions can be estimated using continuously measured specific conductance after observing the effect of flow. The estimated measurement will help identify the quality of water at a given point in time and hence save time and resources in performing routine sampling. It will also help estimate the quality of water in remote locations where routine sampling is not feasible. This paper compares four water bodies on the island part of Newfoundland and Labrador and estimates the ionic concentration using continuously measured specific conductance.

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