Application of an Artificial Neural Network Model for estimating of Water Quality Parameters in the Karun River, Iran

  • Marjan Salari Assistant Professor, Department of Civil Engineering, Sirjan University of Technology, Kerman
  • Ehsan Teymouri Graduated M.Sc student, Department of Civil Engineering, Semnan University, Semnan, Iran
  • Zeinab Nassaj Department of Chemistry, Payame Noor University, Tehran, Iran
Keywords: Artificial Neural Networks, Predicting, Water Quality Index, Khuzestan province


Population growth and increasing agricultural and industrial activities result in reducing water quality, climate change, and changed the rainfall pattern as well as the hydrological cycle. In the present study, artificial neural networks (ANN) applied deduced and expand models to predict the monthly values of dissolved oxygen (DO), and electrical conductivity (EC) in the Karun River at stations positioned at Ahwaz and Gotvand sites in Iran. To analyze the water quality, the monthly data of four main parameters and discharge between 1998 and 2010 were selected. The correlation coefficient, root mean square error, and mean absolute error as statistical criteria were utilized for evaluating the model performance. Finally, the potential of ANN on simulating relevancy between water quality parameters is examined. Results indicated the neural networks can discern the pattern of water quality parameters to offer an appropriate prediction of changes in water quality data of the Karun River.


Download data is not yet available.


Vasanthi SS, Kumar AS. "Application of artificial Neural network techniques for predicting the water quality index in the parakai lake, Tamilnadu, India", Applied ecology and environmental research. 2019 Jan 1;17(2):1947-58.

P.N. Okeke, and E.N. Adinna "Water quality of Otamiri river in Owerri, Nigeria", Universal J. Environ. Res. Technol. 2013, 3(6): 641-649

Patel V, Parikh P. "Assessment of seasonal variation in water quality of River Mini, at Sindhrot, Vadodara". International journal of environmental sciences. 2013;3(5):1424-36.

Al-Badaii F, Shuhaimi-Othman M, Gasim MB. "Water quality assessment of the Semenyih river, Selangor", Malaysia. Journal of Chemistry. 2013;Jan 1;2013.

Abu-Khalaf N, Khayat S, Natsheh B. "Multivariate data analysis to identify the groundwater pollution sources in Tulkarm area/Palestine". Science and Technology. 2013;3(4):99-104.

Scholten H, Kassahun A, Refsgaard JC, Kargas T, Gavardinas C, Beulens AJ. "A methodology to support multidisciplinary model-based water management". Environmental Modelling & Software. 2007 May 1;22(5):743-59.

McKnight US, Funder SG, Rasmussen JJ, Finkel M, Binning PJ, Bjerg PL. "An integrated model for assessing the risk of TCE groundwater contamination to human receptors and surface water ecosystems". Ecological Engineering. 2010; Sep 1;36(9):1126-37.

Harmancioglu N. B., Fistikoglu O., Ozkul S. D., Singh V. P., Alpaslan M.N., "Water Quality Monitoring Network Design", W S and T Library, Vol. 33, Kluwer Academic Publisher, Dordrecht, 1999; pp. 187-203.

Khalil B. M., Awadallah A. G., Karaman H., El-Sayed A., "Application of Artificial Neural Networks for the Prediction of Water Quality Variables in the Nile Delta", J of W Resource and P, 2012; 4, 388-394.

Teymouri E, Mousavi SF, Karami H, Farzin S, Kheirabad MH. "Municipal Wastewater pretreatment using porous concrete containing fine-grained mineral adsorbents". Journal of Water Process Engineering. 2020; Aug 1;36:101346.

Salimi A, Karami H, Farzin S, Hassanvand M, Azad A, Kisi O. " Design of water supply system from rivers using artificial intelligence to model water hammer". ISH Journal of Hydraulic Engineering. 2020; Apr 2;26(2):153-62.

Stockholm International Water Institute and Elsevier the water and food Nexus: Trends and Development of the Research landscape, 2012.

Schleiter IM, Borchardt D, Wagner R, Dapper T, Schmidt KD, Schmidt HH, Werner H. "Modelling water quality, bioindication and population dynamics in lotic ecosystems using neural networks". Ecological Modelling. 1999; Aug 17;120(2-3):271-86.

Singh KP, Basant A, Malik A, Jain G. "Artificial neural network modeling of the river water quality—a case study". Ecological Modelling. 2009; Mar 24;220(6):888-95.

Lihua C., Shengquan M., Li L., "A model to evaluate DO of river based on artificial neural network and style book", J. Hainan Normal Univ. (Nat. Sci.) 21(4): 2008; 372–376.

Matta G, Kumar A, Naik PK, Kumar A, Srivastava N. "Assessment of heavy metals toxicity and ecological impact on surface water quality using HPI in Ganga river". INAE Letters. 2018; Sep 1;3(3):123-9.

Rounds SA. "Development of a neural network model for dissolved oxygen in the Tualatin River, Oregon". InProceeding of the second Federal Interagency Hydrologic Modeling Conference, Las Vegas, Nevada 2002; Jul 29.

Salami E, Salari M, Sheibani SN, HosseiniKheirabad M, Teymouri E. "Dataset on the Assessments the Rate of Changing of Dissolved Oxygen and Temperature of Surface Water, Case Study: California, USA". Journal of Environmental Treatment Techniques. 2020; 7(3):843-52.

Salami ES, Salari M, Rastegarc M, Sheibani SN, Ehteshami M, "Artificial neural network and mathematical approach for estimation of surface water quality parameters (case study: California, USA) ". Desalination and Water Treatment.

Salari M, Salami ES, Ehteshami M, Sheibani SN, "Artificial Neural Network (ANN) Modeling of Cavitation Mechanism by Ultrasonic Irradiation for Cyanobacteria Growth Inhibition". Journal of Environmental Treatment Techniques. 2020; Volume 8, Issue 2, 625-633.

Salami ES, Salari M, Ehteshami M, Beadokhti NT, "Application of artificial neural networks and mathematical modeling for the prediction of water quality variables (case study: southwest of Iran)". Journal Desalination and Water Treatment Volume 57, 2016; ,Issue 56.

Salami ES, Ehetshami M, Karimi-Jashni A, Salari M, Nikbakht Sheibani S, Ehteshami A, "A mathematical method and artificial neural network modeling to simulate osmosis membrane’s performance". Model. Earth Syst. Environ. 2016; 2:207 DOI 10.1007/s40808-016-0261-0.

Rak A. "Water turbidity modelling during water treatment processes using artificial neural networks". International Journal of Water Sciences. 2013;2.

Juahir H, Zain SM, Toriman ME, Mokhtar M, Man HC. "Application of artificial neural network models for predicting water quality index". Malaysian Journal of Civil Engineering. 2004;16(2).

Goethals PL, Dedecker AP, Gabriels W, Lek S, De Pauw N. "Applications of artificial neural networks predicting macroinvertebrates in freshwaters". Aquatic Ecology. 2007; Sep 1;41(3):491-508.

Maier HR, Dandy GC. "The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study". Environmental Modelling & Software. 1998; Apr 1;13(2):193-209.

Kisi Ö. "Daily river flow forecasting using artificial neural networks and auto-regressive models". Turkish Journal of Engineering and Environmental Sciences. 2005; Jan 14;29(1):9-20.

Kisi O. "Development of streamflow-suspended sediment rating curve using a range dependent neural network". International Journal of Science & Technology. 2007; 2(1):49-61.

Chau W.C., Bose N.K., "Speech signal Neural network prediction using feed forward neural network, modeling of salinity variation in Apalachicola River, Electro". Lett., 1998; 34: 999-1001.

Hatzikos E, Anastasakis L, Bassiliades N, Vlahavas I. "Simultaneous prediction of multiple chemical parameters of river water quality with tide". InProceedings of the Second International Scientific Conference on Computer Science, IEEE Computer Society, Bulgarian Section 2005.

Palani S., Liong S.Y., Tkalich P., "An ANN Prentice Hall, USA. application for water quality forecasting", Marine Pollution Bulletin, 2008; 56: 1586-1597.

McKnight US, Funder SG, Rasmussen JJ, Finkel M, Binning PJ, Bjerg PL. "An integrated model for assessing the risk of TCE groundwater contamination to human receptors and surface water ecosystems". Ecological Engineering. 2010; Sep 1;36(9):1126-37.

Lek S, Guégan JF. " Artificial neural networks as a tool in ecological modelling, an introduction". Ecological modelling. 1999; Aug 17;120(2-3):65-73.

Mazvimavi D, Meijerink AM, Savenije HH, Stein A. "Prediction of flow characteristics using multiple regression and neural networks: A case study in Zimbabwe". Physics and Chemistry of the Earth, Parts A/B/C. 2005; Jan 1;30(11-16):639-47.

Khuzestan province integrated development surveillances. Chapter 2: Khuzestan province water resources, 2011.

Sarkar A, Pandey P. "River water quality modelling using artificial neural network technique". Aquatic Procedia. 2015; Jan 1;4:1070-7.

Mcculioch WS, Pitts A, “Alogical calculus of the ideas immanent in nervous activity”. Bulletin of Mothemnticnl Biology, 1990; Vol. 52, No. l/2. pp. 99-115.

Palani S, Liong SY, Tkalich P. "An ANN application for water quality forecasting". Marine pollution bulletin. 2008; Sep 1;56(9):1586-97.

Wu GD, Lo SL. "Predicting real-time coagulant dosage in water treatment by artificial neural networks and adaptive network-based fuzzy inference system". Engineering Applications of Artificial Intelligence. 2008; Dec 1;21(8):1189-95.

Zhao Y, Nan J, Cui FY, Guo L. "Water quality forecast through application of BP neural network at Yuqiao reservoir". Journal of Zhejiang University-Science A. 2007; Aug 1;8(9):1482-7.

Dogan E, Sengorur B, Koklu R. "Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique". Journal of Environmental Management. 2009; Feb 1;90(2):1229-35.

Banejad H, Olyaie E. "Application of an Artificial Neural Network Model to Rivers Water Quality Indexes Prediction—A Case Study". Journal of American Science. 2011; 7(1):60-5.

Diamantopoulou MJ, Papamichail DM, Antonopoulos VZ. "The use of a neural network technique for the prediction of water quality parameters". Operational Research. 2005; Jan 1;5(1):115-25.

How to Cite
Salari, M., Teymouri, E., & Nassaj, Z. (2021). Application of an Artificial Neural Network Model for estimating of Water Quality Parameters in the Karun River, Iran. Journal of Environmental Treatment Techniques, 9(4), 720-727.
Regular publication process