Developing a decision-making model for improving the groundwater balance to control land subsidence

Mojtaba Zangeneh, Mahdi Sarai Tabrizi, Amir Khosrojerdi and Ali Saremi
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Mojtaba Zangeneh: Department of Water Engineering and Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Mahdi Sarai Tabrizi: Department of Water Engineering and Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Amir Khosrojerdi: Department of Water Engineering and Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Ali Saremi: Department of Water Engineering and Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

Soil and Water Research, 2023, vol. 18, issue 1, 55-65

Abstract: This study aimed to control land subsidence by improving the groundwater balance in the Varamin plain using the Groundwater Modelling System software and a multi-criteria decision model. For this purpose, aquifer level quantification and subsidence rate simulation were performed with the MODFLOW model and SUB package, respectively. The results showed a 6 m decrease in the aquifer level over a 5-year period and the subsidence rate in the central parts was 37 cm. Accordingly, the aquifer was evaluated by considering eight different restoration strategies based on reduced exploitation and artificial feeding. The results showed that the environmental criterion related to the subsidence adjustment index had the highest weight (0.27) and was introduced as the most important decision-making criterion. The evaluation of the results and priorities using the Complex Proportional Assessment (COPRAS) method showed that a 30% reduction in exploitation with artificial feeding is the best restoration strategy and can improve the subsidence rate and aquifer level by 36% and 76%, respectively, over a 5-year period (2024).

Keywords: COPRAS method; GMS software; MODFLOW; SUB package; SWARA method (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlswr:v:18:y:2023:i:1:id:57-2022-swr

DOI: 10.17221/57/2022-SWR

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