Hamidreza Bana Bafrouei
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Hamidreza Bana Bafrouei has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
Hossein Azhdari
1 shared publication- Majid Vazirian
Yazd University Department of Civil Engineering Yazd
1 shared publication - Mohammad Reza Goodarzi
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
1 shared publication - Saeed Alimohammadi
Dept. of Civil Engineering, Civil, Water and Environmental Engineering Faculty, Shahid Beheshti Univ., P.O. Box 16765-1719, Bahar Blvd., Hakimieh, Tehran, 1658953571, Iran
1 shared publication
Latest Publications
- 27 October 2026
- Published by Emerald Publishing in Journal of Environmental Engineering and Science
- p. 1-11
Optimum selection of pumping wells using TOPSIS multi-criteria localization model
Groundwater depletion in arid regions requires reliable approaches for prioritising wells under competing hydrogeological, environmental, and economic constraints. This study develops a Technique for Order Preference by Similarity to Ideal Solution-based multi-criteria decision making framework to prioritise five existing observation wells for potential conversion into operational pumping wells in the water-stressed Yazd-Ardakan Plain, Iran. Nine criteria representing aquifer properties, groundwater conditions, well construction, spatial interactions, and economic factors were integrated, including hydraulic conductivity (K), groundwater level, aquifer sediment texture, and geological factors such as distance and density of neighbouring wells, drilling cost, and borehole screen quality, in addition to hydraulic gradient and bedrock slope to better represent regional hydrogeological and hydro-geomorphological conditions. Five candidate wells were evaluated using expert-derived weights and field-based data. The resulting ranking was Wells No. 5, 1, 2, 4, and 3, with Well No. 5 achieving the highest relative closeness coefficient (0.616). This result indicates the highest relative preference among the evaluated alternatives rather than independently validated pumping performance. By integrating hydrogeological, spatial, and economic criteria, the proposed model provides a transparent and practical decision-support tool for groundwater resource planning in arid regions, facilitating cost-effective and sustainable well placement.
- 27 October 2026
- Published by Emerald Publishing in Journal of Environmental Engineering and Science
- p. 1-11
Optimum selection of pumping wells using TOPSIS multi-criteria localization model
Groundwater depletion in arid regions requires reliable approaches for prioritising wells under competing hydrogeological, environmental, and economic constraints. This study develops a Technique for Order Preference by Similarity to Ideal Solution-based multi-criteria decision making framework to prioritise five existing observation wells for potential conversion into operational pumping wells in the water-stressed Yazd-Ardakan Plain, Iran. Nine criteria representing aquifer properties, groundwater conditions, well construction, spatial interactions, and economic factors were integrated, including hydraulic conductivity (K), groundwater level, aquifer sediment texture, and geological factors such as distance and density of neighbouring wells, drilling cost, and borehole screen quality, in addition to hydraulic gradient and bedrock slope to better represent regional hydrogeological and hydro-geomorphological conditions. Five candidate wells were evaluated using expert-derived weights and field-based data. The resulting ranking was Wells No. 5, 1, 2, 4, and 3, with Well No. 5 achieving the highest relative closeness coefficient (0.616). This result indicates the highest relative preference among the evaluated alternatives rather than independently validated pumping performance. By integrating hydrogeological, spatial, and economic criteria, the proposed model provides a transparent and practical decision-support tool for groundwater resource planning in arid regions, facilitating cost-effective and sustainable well placement.