DEVELOPMENT OF AN ARDUINO-BASED LOW-COST TURBIDITY AND ELECTRIC CONDUCTIVITY METER FOR WASTEWATER CHARACTERIZATION
Abstract
The turbidity and electrical conductivity of a wastewater stream are undeniably essential parameters in the characterization of wastewater. The primary objective of this study was to design a low-cost, efficient device for monitoring turbidity and electric conductivity of wastewater and to compare its performance against commercially available meters. The results indicated that the developed turbidity model sensor and electric conductivity probe provided a comparable turbidity value (ranging from 20-200 NTU) and EC (ranging from 0-50 mS/cm) compared to commercial meters at almost 10 times lower cost (12.87 US dollars for turbidimeter and 13.52 US dollars for electrical conductivity meter). The error percentage of the developed prototype was less than 5 % for both tested parameters. Therefore, the study concludes that this prototype can be used as an accurate and exact water quality measurement device that is capable of being applied in a wide variety of water quality applications, especially in low-income countries.
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AKPOR O.B., OTOHINOYI D.A., OLAOLU T.D., ADERIYE B.I. (2014). Pollutants in wastewater: Impacts and remediation process, Journal of the Hellenic Veterinary Medical Society, Vol. 65, Issue 2, pp. 115–120.
ALIMORON G.F.M.L.S., APACIONADO H.A.D., VILLAVERDE J.F. (2020). Arduino-based Multiple Aquatic Parameter Sensor Device for Evaluating pH, Turbidity, Conductivity and Temperature. 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2020.
https://doi.org/10.1109/HNICEM51456.2020.9400145
APHA (2017). Standard Methods for the examination of water and waste water American Public Health Association, pp. 2-12.
ATEKWANA E.A., ATEKWANA E.A., ROWE R.S., WERKEMA D.D., LEGALL F.D. (2004). The relationship of total dissolved solids measurements to bulk electrical conductivity in an aquifer contaminated with hydrocarbon, Journal of Applied Geophysics, Vol. 56, Issue 4, pp. 281–294.
https://doi.org/10.1016/j.jappgeo.2004.08.003.
BADAMASI Y.A. (2014). The working principle of an Arduino. Proceedings of the 11th International Conference on Electronics, Computer and Computation, ICECCO 2014.
https://doi.org/10.1109/ICECCO.2014.6997578
DE SOUSA D.N.R., MOZETO A.A., CARNEIRO R.L., FADINI P.S. (2014). Electrical conductivity and emerging contaminant as markers of surface freshwater contamination by wastewater, Science of the Total Environment, Vol. 484, Issue 1, pp. 19–26. https://doi.org/10.1016/j.scitotenv.2014.02.135
DEBLONDE T., COSSU-LEGUILLE C., HARTEMANN P. (2011). Emerging pollutants in wastewater: A review of the literature, International Journal of Hygiene and Environmental Health, Vol. 214, Issue 6, pp. 442–448.
https://doi.org/10.1016/j.ijheh.2011.08.002
DIAMANT S. (2013). The importance of monitoring turbidity in industrial water treatment, Water Technology.
https://www.watertechonline.com/wastewater/article/15543707/the-importance-of-monitoring-turbidity-in-industrial-water-treatment
DUONG K., SAPHORES J.M. (2015). Obstacles to wastewater reuse: an overview, WIREs Water, Vol. 2, Issue 3, pp. 199–214. https://doi.org/10.1002/wat2.1074
GIBB A.M. (2010). New-Media-Art-Design-and-the-Arduino-Microcontroller: A Malleable Tool, A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, Pratt Institute, New York, USA.
http://aliciagibb.com/wp-content/uploads/2013/01/New-Media-Art-Design-and-the-Arduino-Microcontroller-2.pdf
HARIKUMAR P.S., ARAVIND A., VASUDEVAN S. (2017). Assessment of Water Quality Status of Guruvayur Municipality. Journal of Environmental Protection, Vol. 8, Issue 2, pp. 159–170. https://doi.org/10.4236/jep.2017.82013
MCCLESKEY R.B., NORDSTROM D.K., RYAN J.N., BALL J.W. (2012). A new method of calculating electrical conductivity with applications to natural waters, Geochimica et Cosmochimica Acta, Vol. 77, pp. 369–382.
MCCOY W.F., OLSON B.H. (1986). Relationship among turbidity, particle counts and bacteriological quality within water distribution lines, Water Research, Vol. 20, Issue 8, pp. 1023–1029. https://doi.org/10.1016/0043-1354(86)90045-X
MUNTER R. (2003). Industrial wastewater characteristics, The Baltic University Programme (BUP), Sweden, pp. 185–194.
OMAR A.F.B., MATJAFRI M.Z. B. (2009). Turbidimeter design and analysis: A review on optical fiber sensors for the measurement of water turbidity, Sensors, Vol. 9, Issue 10, pp. 8311–8335. https://doi.org/10.3390/s91008311
PANASIUK O., HEDSTRÖM A., MARSALEK J., ASHLEY R.M., VIKLANDER M. (2015). Contamination of stormwater by wastewater: A review of detection methods, Journal of Environmental Management, Vol. 152, pp. 241–250.
https://doi.org/10.1016/j.jenvman.2015.01.050
PARRA L., ROCHER J., ESCRIVA J., LLORET J. (2018). Design and development of low-cost smart turbidity sensor for water quality monitoring in fish farms, Aquacultural Engineering, Vol. 81, pp. 10–18.
PITT R. (2004). Illicit Discharge Detection and Elimination - A Guidance Manual for Program Development and Technical Assessments, Center for Watershed protection, University of Alabama, October.
RAMOS P.M., PEREIRA J.M.D., MEMBER S., RAMOS H.M.G., MEMBER S., RIBEIRO A.L. (2008). A Four-Terminal Water-Quality-Monitoring Conductivity, Sensor, Vol. 57, Issue 3, pp. 577–583.
ROSAL R., RODRÍGUEZ A., PERDIGÓN-MELÓN J.A., PETRE A., GARCÍA-CALVO E., GÓMEZ M.J., AGÜERA A., FERNÁNDEZ-ALBA A.R. (2010). Occurrence of emerging pollutants in urban wastewater and their removal through biological treatment followed by ozonation, Water Research, Vol. 44, Issue 2, pp. 578–588. https://doi.org/10.1016/j.watres.2009.07.004
SHAN Y., GUAN D., LIU J., LIU Z., LIU J., SCHROEDER H., CHEN Y., SHAO S., MI Z., ZHANG Q. (2016). CO2 emissions inventory of Chinese cities, Atmospheric Chemistry and Physics Discussions, pp. 1-26. https://doi.org/10.5194/acp-2016-176
STEVENS R.J., O’BRIC C.J., CARTON O.T. (1995). Estimating nutrient content of animal slurries using electrical conductivity. The Journal of Agricultural Science, Vol. 125, Issue 2, pp. 233–238. https://doi.org/10.1017/S0021859600084367.
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