Assessment of sodium adsorption ratio (SAR) in groundwater: Integrating experimental data with cutting-edge swarm intelligence approaches-Reference-Cited by-同舟云学术

Assessment of sodium adsorption ratio (SAR) in groundwater: Integrating experimental data with cutting-edge swarm intelligence approaches

Published:2024-04-29 Issue: Volume: Page:
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Wu Zongwang,Moayedi Hossein,Salari Marjan,Le Binh Nguyen,Ahmadi Dehrashid Atefeh

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00477-024-02727-x.pdf

Reference79 articles.

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3. Alamdar R et al (2019) Groundwater quality evaluation of Shiraz City, Iran using multivariate and geostatistical techniques. SN Appl Sci 1(11):1–16

4. Al-Obaidi BH, Mahmood RS, Kadhim RA (2020) Water quality assessment and sodium adsorption ratio prediction of tigris river using artificial neural network. J Eng Sci Technol 15(5):3055–3066

5. Ahmadi Dehrashid A, Dong H, Fatahizadeh M et al (2024) A new procedure for optimizing neural network using stochastic algorithms in predicting and assessing landslide risk in East Azerbaijan. Stoch Environ Res Risk Assess 1–30

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