Abstract
Human activities alter salt concentration of water sources such as lakes, ponds, wetlands and streams, which will have detrimental impacts on water quality and aquatic ecosystems. We developed electrical conductivity (EC)–based sensors to measure salt concentrations in water bodies. We calibrated and validated sensors using standard sodium chloride (NaCl) solutions. Furthermore, we validated sensors in a laboratory (using standard solutions) and field settings. The errors for the laboratory validation varied from 0 to 13% with an average of 6%. We deployed 35 sensors in the Madison County, Illinois, USA and measured high-resolution (15 min) salt concentration for 6 months (December, 2018 to May, 2019) in water bodies in urban stream, parking lot drain, road-side drain, and creek. The average errors between sensor and field measurements were 11% for sensor field validation. Sensors were able to predict salt concentrations in the field settings within a precision level required to quantify salt concentration in water bodies. Therefore, the study would be helpful to monitor the change in salt concentrations in water sources as an impact of human activities benefiting water managers, researchers, and agencies working on water quality and ecosystems.
Similar content being viewed by others
References
Bluelab Corporation. (2011). The grow book. (pp. 1–40). Tauranga: Bluelab Corporation.
Cañedo-Argüelles, M., Kefford, B. J., Piscart, C., Prat, N., Schäfer, R. B., & Schulz, C.-J. (2013). Salinisation of rivers: an urgent ecological issue. Environmental Pollution, 173, 157–167.
Chapin, T., Todd, A., & Zeigler, M. (2014). Robust, low-cost data loggers for stream temperature, flow intermittency, and relative conductivity monitoring. Water Resources Research, 50(8), 6542–6548.
Corsi, S., Cicco, L. A., ALutz, M., & Hirsch, R. M. (2015). River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons. Science of the Total Environment, 508, 488–497.
Environment Canada (2001). Priority substances list assessment report: road salts. Canadian Environmental Protection Act, 1999.
Facchi, A., Gandolfi, C., & Whelan, M. J. (2007). A comparison of river water quality sampling methodologies under highly variable load conditions. Chemosphere, 66(4), 746–756.
Glasgow, H. B., Burkholder, J. M., Reed, R. E., Lewitus, A. J., & Kleinman, J. E. (2004). Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies. Journal of Experimental Marine Biology and Ecology, 300(1–2), 409–448.
Granato, G. E., & Smith, K. P. (1999). Estimating concentrations of road-salt constituents in highway-runoff from measurements of specific conductance. Water Resources Investigation (pp. 27). Northborough, Massachusetts: US Department of the Interior, U. S. Geological Survey.
Gray, J. (2004). Conductivity analyzers and their application. Environmental Instrumentation and Analysis Handbook, 491–510.
Hatch Company (2014). Digital contacting conductivity sensor, User Manual. In Hatch Company (Ed.), (4 ed., pp. 1–50). Loveland, CO, USA: Hatch Company.
Hayashi, M. (2004). Temperature-electrical conductivity relation of water for environmental monitoring and geophysical data inversion. Environmental Monitoring and Assessment, 96(1–3), 119–128.
Kelly, V., Lovett, G., Weathers, K., Findlay, S., Strayer, D., Burns, D., et al. (2008). Long-term sodium chloride retention in a rural watershed: legacy effects of road salt on streamwater concentration. Environmental Science & Technology, 42(2), 410–415.
Kerr, M., & Stewart, A. (2003). Tolerance test of eisenia fetida for sodium chloride. Journal of Undergraduate Research, 3, 1–5.
Lee, R., & Kester, W. (2016). Fully automatic self-calibrated conductivity measurement system. Analog Dialogue 50(4), https://www.analog.com/media/en/analog-dialogue/volume-50/number-54/articles/fully-automatic-self-calibrated-conductivity-measurement-system.pdf.
Manly, B. F. J. (2007). Randomization and Monte Carlo methods in biology (Third ed.). London: Chapman & Hall.
McCleskey, R. B. (2013). New method for electrical conductivity temperature compensation. Environmental Science & Technology, 47, 9874–9881.
McNamara, S. M., Kolesar, K. R., Wang, S., Kirpes, R. M., May, N. W., Gunsch, M. J., et al. (2020). Observation of road salt aerosol driving inland wintertime atmospheric chlorine chemistry. ACS Central Science, 6, 684–694.
Mettler Toledo (2012). Reducing common errors in conductivity measurements. In Mettler Toledo (Ed.), (Vol. 1, pp. 6). Columbus, Ohio: Mettler Toledo.
Microchip Technology Inc. (2004). Analog-to-digital converter design guide. In M. T. Inc. (Ed.), (pp. 16). Chandler, AZ Microchip Technology Inc.
Nagavalli, V. R. S. T. (2015). Smart discrete water quality sensor. Master, University of Akron,
Novotny, E., Murphy, D., & Stefan, H. (2007). Road salt effects on the water quality of lakes in the twin cities metropolitan area.
Panno, S., Hackley, K. C., Hwang, H., Greenberg, S., Krapac, I., Landsberger, S., et al. Source identification of sodium and chloride contamination in natural waters: preliminary results. In Proceedings, 12th Annual Illinois Groundwater Consortium Symposium, 2002: Illinois Groundwater Consortium.
Parra, L., Sendra, S., Lloret, J., & Bosch, I. (2015). Development of a conductivity sensor for monitoring groundwater resources to optimize water management in smart city environments. Sensor, 15, 20990–21015. https://doi.org/10.3390/s150920990.
Perera, N., Gharabaghi, B., & Noehammer, P. (2009). Stream chloride monitoring program of City of Toronto: implications of road salt application. Water Quality Research Journal, 44(2), 132–140.
Radtke, D., Davis, J. V., & Wilde, F. (2005). Specific electrical conductance. US Geological Survey.
Richburg, J. A., Patterson, W. A., & Lowenstein, F. (2001). Effects of road salt and Phragmites australis invasion on the vegetation of a western Massachusetts calcareous lake-basin fen. Wetlands, 21(2), 247–255.
Skarbøvik, E., & Roseth, R. (2015). Use of sensor data for turbidity, pH and conductivity as an alternative to conventional water quality monitoring in four Norwegian case studies. Norwegian Institute for Agricultural and Environmental Research, 65(1), 63–73.
Skarbøvik, E., Stålnacke, P., Bogen, J., & Bønsnes, T. E. (2012). Impact of sampling frequency on mean concentrations and estimated loads of suspended sediment in a Norwegian river: implications for water management. Science of the Total Environment, 433, 462–471.
Thunqvist, E.-L. (2004). Regional increase of mean chloride concentration in water due to the application of deicing salt. Science of the Total Environment, 325(1–3), 29–37.
U.S. Geological Survey (2019). Chapter 6.3. Specific conductance. U.S. Geological Survey Techniques and Methods, book 9, chap. A6.3, 15 p., (pp. 15).
United States Environmental Protection Agency (USEPA) (1988). Ambient water quality criteria for chloride. (pp. 47). washington DC: United States Environmental Protection Agency.
Wagner, R. J., Mattraw, H. C., Ritz, G. E., & Smith, B. A. (2000). Guidelines and standard procedures for continuous water-quality monitors: site selection, field operation, calibration, record computation, and reporting (p. 60). Reston: U.S. Geological Survey.
YSI Incorporated (1999). Model 3200 conductance, resistance, salinity, total dissolved solids and temperature instrument in YSI incorporated (Ed.). Ohio, USA YSI Incorporated.
Acknowledgments
We would like to acknowledge the Center for Ecohydraulics Research (CER), University of Idaho, and Bob Basham for developing sensors as part of the collaborative research. Furthermore, we would like to thank Region Five District 8, Department of Transportation, Collinsville, IL for granting permission to deploy sensors at road-side drains of inter-state and local highways. Furthermore, SIUE students Victoria Wieseman, Utsav Manandhar, and Shanti Satyal helped in field and laboratory works. The comments and suggestions from editors and anonymous reviewers on the earlier version helped to improve the manuscript.
Funding
Funding for this study is provided by the School of Engineering, Southern Illinois University Edwardsville (SIUE) and Graduate School’s “Research Equipment and Tools” funding program.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Highlights
• Low-cost, re-usable sensors were developed to measurement salt concentration.
• Sensors were tested in laboratory and field settings.
• Sensors can be used to measure salt concentration in water sources to analyze impacts of human activities on water quality.
Rights and permissions
About this article
Cite this article
Benjankar, R., Kafle, R. Salt Concentration Measurement Using Re-usable Electric Conductivity–based Sensors. Water Air Soil Pollut 232, 13 (2021). https://doi.org/10.1007/s11270-020-04971-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11270-020-04971-7