Optimizing Water Quality Sampling Through Application Of Real Time Ionic Concentration Regression Models


  • Shibly Rahman Water Resources Management Division, Department of Environment and Conservation, A1B4J6, St. John’s, Canada
  • Renee Paterson Water Resources Management Division, Department of Environment and Conservation, A1B4J6, St. John’s, Canada


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.

Author Biography

Shibly Rahman, Water Resources Management Division, Department of Environment and Conservation, A1B4J6, St. John’s, Canada

I have been working with the Water Resources Management Division, Department of Environment and Conservation for the last 7 years. My current position is Environmental Scientist. Some of the major tasks I perform with the division are statistical analysis, environmental modeling, developing Water Quality Index Calculator, data analysis  report review as well as field work.


Christensen, V.G., Rasmussen, P.P., Ziegler, A.C., 2002. Real time water quality monitoring and regression analysis to estimate nutrient and bacteria concentrations in Kansas streams, Water Science and Technology, Vol. 45, No. 9, pp. 205-219.

Caissie, Daniel, Tom L. Pollock, and Richard A. Cunjak. "Variation in stream water chemistry and hydrograph separation in a small drainage basin." Journal of Hydrology 178.1 (1996): 137-157.

Duan, N., 1983, Smearing estimate - a nonparametric retransformation method. Journal of the American Statistical Association, Vol. 78, No. 383, p. 605-610.

Granato, G. E, & Smith, K. P. 1999. Estimating concentrations of road-salt constituents in highway-runoff from measurements of specific conductance. Northborough, Mass.: U.S. Dept. of the Interior, U.S. Geological Survey.

Harvey, Richard, Leonard Lye, and Ali Khan. "Recent Advances in the Analysis of Real-time Water Quality Data Collected in Newfoundland and Labrador." Canadian Water Resources Journal 36.4 (2011): 349-361.

Hem, J.D., 1992. Study and interpretation of the chemical characteristics of natural water (3rd ed): U.S.Geological Survey Water-Supply Paper 2254, 263 p.

Lind, C.J., 1970. Specific conductance as a means of estimating ionic strength: U.S. Geological Survey Professional Paper 700-D, p. D272-280.

Miller, R.L., Bradford, W.L., and Peters, N.E., 1988, Specific conductance: theoretical considerations and application to analytical quality control: U.S. Geological Survey Water-Supply Paper 2311, 16 p.

Reham El-Korashey, 2009. Using Regression Analysis to Estimate Water Quality Constituents in Bahr El Baqar Drain, Journal of Applied Sciences Research, 5(8): 1067-1076.

Ryberg, K.R., 2006. Continuous Water-Quality Monitoring and Regression Analysis to Estimate Constituent Concentrations and Loads in The Red River of the North, Fargo, North Dakota, 2003-05, U.S. Geological Survey Water Resources Investigations Report 2006-5241, pp: 35.

Ryberg, K.R., 2007. Continuous water-quality monitoring and regression analysis to estimate constituent concentrations and loads in the Sheyenne River, North Dakota, 1980–2006: U.S. Geological Survey Scientific Investigations Report 2007–5153, pp: 22.

Stevens, R. J., O'Bric C. J. and Carton O. T., 1995. Estimating nutrient content of animal slurries using electrical conductivity. The Journal of Agricultural Science, v. 125, no. 2, pp 233-238.

Thomas, A. G., 1986, Specific conductance as an indicator of total dissolved solids in cold dilute waters. Hydrological Sciences Journal v. 31, no. 1, p. 81-92.

Williams, W. D. 1966, Conductivity and the concentration of total dissolved solids in Australian lakes. Australian Journal of Marine and Freshwater Research 17, 169-76.






Environmental Modeling, Risk Assessment and Decision Making (EMR)