Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model
Background: The improper exploitation of water resources by humans has disrupted the natural balance of groundwater. Given the water resources restriction, it is crucial to manage these resources properly, recognize the current situation, and anticipate the harvesting or feeding effects. In this reg...
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| Format: | Article |
| Language: | English |
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Kurdistan University of Medical Sciences
2022-02-01
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| Series: | Journal of Advances in Environmental Health Research |
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| Online Access: | http://jaehr.muk.ac.ir/article_142556_7c554bad4c5f72449852deee54305fc4.pdf |
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| author | Soheil Talebi Gholamreza Rakhshandehro Mohamad ParsiMehr Shima Rezaei |
| author_facet | Soheil Talebi Gholamreza Rakhshandehro Mohamad ParsiMehr Shima Rezaei |
| author_sort | Soheil Talebi |
| collection | DOAJ |
| description | Background: The improper exploitation of water resources by humans has disrupted the natural balance of groundwater. Given the water resources restriction, it is crucial to manage these resources properly, recognize the current situation, and anticipate the harvesting or feeding effects. In this regard, simulators or models can act as valuable tools.Methods: In this research, we performed quantitative modeling of groundwater flow in the Quar-Maharlu plain, Fars Province, Iran using the PMWIN software. The model included three years’ calibration (2011-2014) for hydraulic conductivity coefficient and one year’s verification (2014-2015). To evaluate the model error in calibration and verification, the root mean square deviation (RMSD) was used. After simulating the aquifer to optimize the artificial recharge location by the flood spreading method, different scenarios were defined and examined by considering the natural and artificial factors.Results: The RMSD values for calibration were 1.55, 1.49, and 1.56 m for 2011, 2012, and 2013, respectively. The RMSD for verification of one year was 1.77 m, indicating the acceptable ability of the model to predict groundwater flow parameters. The stock variation for the whole aquifer was -8.88 mm3 in 2014. In the next step, the best recharging location was selected to create the maximum head increase (5.3cm) in the entire area of the plain.Conclusion: One of the effective ways to offset the negative balance is to strengthen the aquifer through artificial recharge. |
| first_indexed | 2024-04-13T14:46:26Z |
| format | Article |
| id | doaj.art-ba994eb2c8f341a59a0005ec064ac572 |
| institution | Directory Open Access Journal |
| issn | 2345-3990 |
| language | English |
| last_indexed | 2024-04-13T14:46:26Z |
| publishDate | 2022-02-01 |
| publisher | Kurdistan University of Medical Sciences |
| record_format | Article |
| series | Journal of Advances in Environmental Health Research |
| spelling | doaj.art-ba994eb2c8f341a59a0005ec064ac5722022-12-22T02:42:45ZengKurdistan University of Medical SciencesJournal of Advances in Environmental Health Research2345-39902022-02-0110210511810.32598/JAEHR.10.2.1159142556Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN ModelSoheil Talebi0Gholamreza Rakhshandehro1Mohamad ParsiMehr2Shima Rezaei3Department of Civil Engineering, Faculty of Engineering, Shiraz University, Shiraz, Iran.Department of Civil Engineering, Faculty of Engineering, Shiraz University, Shiraz, Iran.Department of Environment, Faculty of Natural Resources and Environment, Malayer University, Malayer, Hamedan, Iran.Department of Environmental Health Engineering, Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.Background: The improper exploitation of water resources by humans has disrupted the natural balance of groundwater. Given the water resources restriction, it is crucial to manage these resources properly, recognize the current situation, and anticipate the harvesting or feeding effects. In this regard, simulators or models can act as valuable tools.Methods: In this research, we performed quantitative modeling of groundwater flow in the Quar-Maharlu plain, Fars Province, Iran using the PMWIN software. The model included three years’ calibration (2011-2014) for hydraulic conductivity coefficient and one year’s verification (2014-2015). To evaluate the model error in calibration and verification, the root mean square deviation (RMSD) was used. After simulating the aquifer to optimize the artificial recharge location by the flood spreading method, different scenarios were defined and examined by considering the natural and artificial factors.Results: The RMSD values for calibration were 1.55, 1.49, and 1.56 m for 2011, 2012, and 2013, respectively. The RMSD for verification of one year was 1.77 m, indicating the acceptable ability of the model to predict groundwater flow parameters. The stock variation for the whole aquifer was -8.88 mm3 in 2014. In the next step, the best recharging location was selected to create the maximum head increase (5.3cm) in the entire area of the plain.Conclusion: One of the effective ways to offset the negative balance is to strengthen the aquifer through artificial recharge.http://jaehr.muk.ac.ir/article_142556_7c554bad4c5f72449852deee54305fc4.pdfartificial rechargegroundwaternumerical modelingoptimizationpmwinquar plain |
| spellingShingle | Soheil Talebi Gholamreza Rakhshandehro Mohamad ParsiMehr Shima Rezaei Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model Journal of Advances in Environmental Health Research artificial recharge groundwater numerical modeling optimization pmwin quar plain |
| title | Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model |
| title_full | Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model |
| title_fullStr | Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model |
| title_full_unstemmed | Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model |
| title_short | Simulating Quar-Maharlu Aquifer in Fars Province, Iran, and Optimizing Artificial Recharge Using PMWIN Model |
| title_sort | simulating quar maharlu aquifer in fars province iran and optimizing artificial recharge using pmwin model |
| topic | artificial recharge groundwater numerical modeling optimization pmwin quar plain |
| url | http://jaehr.muk.ac.ir/article_142556_7c554bad4c5f72449852deee54305fc4.pdf |
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