Modeling of qualitative parameters (Electrical conductivity and total dissolved solids) of Karun river at Mollasani, Ahvaz and Farsiat stations using data mining methods

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mohaghegh Alireza; Valikhan Anaraki Mahdi; FARZIN SAEED

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT Year:2020 | Volume:13 | Issue:1 Page(s): 103-122

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

542

Download:

Cites:

Information Journal Paper

Title

Modeling of qualitative parameters (Electrical conductivity and total dissolved solids) of Karun river at Mollasani, Ahvaz and Farsiat stations using data mining methods

Author(s)

Mohaghegh Alireza | Valikhan Anaraki Mahdi | FARZIN SAEED | Issue Writer Certificate

Keywords

Water salinityQ1

Data miningQ1

Karun basinQ1

Random calibrationQ1

Non-random calibrationQ1

Abstract

Background and Objective: In the present study, EC and TDS quality parameters of Karun River were modeled using data-mining algorithms including LSSVM, ANFIS, and ANN, at Mollasani, Ahvaz and Farsiat hydrometric stations. Material and Methods: Eight different inputs including the combination of Cl-1, Ca+2, Na+1, Mg+2, K+1, CO3 2-, HCO3, and SO4 2-with discharge flow (Q) were selected as non-random and Random calibration inputs for these algorithms. Then, in order to guarantee the accuracy of the results, the simulation was performed by Random calibration and the results of the two methods were compared. In the next step, the EC and TDS parameters were modeled based on the four parameters of Na+1, Cl-1, Ca+2, and Q and a lag time of zero to three months. Results: Modeling results indicated that Na+1, Cl-1, and Ca+2 have the highest influence on modeling of EC and TDS parameters. The LSSVM algorithm was the most accurate in modeling EC and TDS parameters. Among the studied stations, the highest precision for EC and TDS modeling belongs to Ahvaz and Mollasani station, which has 16% and 36% higher coefficient of determination. LSSVM has highest accuracy in modeling the oscillation and peak EC and TDS parameters in during times. Conclusion: The methods and models applied in the present study especially the LSSVM algorithm, can be a useful decision-making tool for predicting and qualitative management of rivers, including rivers in the Karun catchment area. The results of modeling the quality parameters of the rivers were reliable and usable by using both non-random and Random calibration methods. However, the accuracy of the Random calibration method was slightly higher.

Cites

No record.

References

Cite

APA: Copy

Mohaghegh, Alireza, Valikhan Anaraki, Mahdi, & FARZIN, SAEED. (2020). Modeling of qualitative parameters (Electrical conductivity and total dissolved solids) of Karun river at Mollasani, Ahvaz and Farsiat stations using data mining methods. IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT, 13(1 ), 103-122. SID. https://sid.ir/paper/369175/en

Vancouver: Copy

Mohaghegh Alireza, Valikhan Anaraki Mahdi, FARZIN SAEED. Modeling of qualitative parameters (Electrical conductivity and total dissolved solids) of Karun river at Mollasani, Ahvaz and Farsiat stations using data mining methods. IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT[Internet]. 2020;13(1 ):103-122. Available from: https://sid.ir/paper/369175/en

IEEE: Copy

Alireza Mohaghegh, Mahdi Valikhan Anaraki, and SAEED FARZIN, “Modeling of qualitative parameters (Electrical conductivity and total dissolved solids) of Karun river at Mollasani, Ahvaz and Farsiat stations using data mining methods,” IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT, vol. 13, no. 1 , pp. 103–122, 2020, [Online]. Available: https://sid.ir/paper/369175/en

Related Journal Papers