Estimation of Quantity and Quality Parameters of Groundwater Using Numerical Models (Case Study: Mighan Desert Basin, Arak)

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.

POURSAEID MOJTABA; MASTOURI REZA; SHABANLOU SAEID; Najarchi Mohsen

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

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2020 | Volume:51 | Issue:1 Page(s): 201-216

Download Full-Text

Persian Verion

View:

355

Download:

Cites:

Information Journal Paper

Title

Estimation of Quantity and Quality Parameters of Groundwater Using Numerical Models (Case Study: Mighan Desert Basin, Arak)

Author(s)

POURSAEID MOJTABA | MASTOURI REZA | SHABANLOU SAEID | Najarchi Mohsen | Issue Writer Certificate

Keywords

SalinityQ2

Electrical conductivityQ2

Groundwater levelQ1

Total dissolved solidsQ2

MODFLOWQ1

Extreme learning machineQ1

Abstract

In this paper, Salinity, Total dissolved solids (TDS), Groundwater level (GWL) and Electrical conductivity (EC) of the Arak Plain, located in Markazi Province, Iran, were simulated using four novel artificial intelligence models including Extreme learning machine (ELM), wavelet Extreme learning machine (WELM), online sequential Extreme learning machine (OSELM) and wavelet online sequential Extreme learning machine (OSELM) as well as the MODFLOW software (MT3D model). In order to develop the hybrid artificial intelligence models, the wavelet transform was employed. First, the effective lags in estimating the quality and quantity parameters of the groundwater were identified using the autocorrelation function (ACF) and the partial autocorrelation function (PACF) analysis. After that, four different models were developed using the effective lags for each of the artificial intelligence methods. Then, the superior models in simulating the groundwater quality and quantity parameters were detected by conducting a sensitivity analysis. Subsequently, the most effective lags in estimating these parameters were introduced. In addition, the results of The MODFLOW model were compared with the artificial intelligence models, and it was concluded that the latter were more accurate. For instance, the scatter index and Nash-Sutcliffe efficiency coefficient values for TDS simulation by the superior model were 5. 34E-03 and 0. 991, respectively. Additionally, RMSE and MAE for estimating Groundwater level using the superior model were obtained 0. 078 and 0. 061, respectively. Finally, uncertainty analysis for the superior models was carried out.

Cites

No record.

References

No record.

Cite

APA: Copy

POURSAEID, MOJTABA, MASTOURI, REZA, SHABANLOU, SAEID, & Najarchi, Mohsen. (2020). Estimation of Quantity and Quality Parameters of Groundwater Using Numerical Models (Case Study: Mighan Desert Basin, Arak). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 51(1 ), 201-216. SID. https://sid.ir/paper/362889/en

Vancouver: Copy

POURSAEID MOJTABA, MASTOURI REZA, SHABANLOU SAEID, Najarchi Mohsen. Estimation of Quantity and Quality Parameters of Groundwater Using Numerical Models (Case Study: Mighan Desert Basin, Arak). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2020;51(1 ):201-216. Available from: https://sid.ir/paper/362889/en

IEEE: Copy

MOJTABA POURSAEID, REZA MASTOURI, SAEID SHABANLOU, and Mohsen Najarchi, “Estimation of Quantity and Quality Parameters of Groundwater Using Numerical Models (Case Study: Mighan Desert Basin, Arak),” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 51, no. 1 , pp. 201–216, 2020, [Online]. Available: https://sid.ir/paper/362889/en

Related Journal Papers