پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 301 |
| تعداد مقالات | 3,173 |
| تعداد مشاهده مقاله | 3,211,762 |
| تعداد دریافت فایل اصل مقاله | 2,380,287 |
Performance Assessment of Numerical Solution in Simulating Groundwater Recharge | ||
| Water Harvesting Research | ||
| دوره 5، شماره 2 - شماره پیاپی 8، شهریور 2022، صفحه 177-190 اصل مقاله (1.86 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2023.6184.1079 | ||
| نویسندگان | ||
| Ahmad Jafarzadeh* 1؛ Abbas Khashei-Siuki2؛ Abolfazl akbarpour3؛ Ali Nasirian4 | ||
| 1Department of Water Engineering, University of Birjand, Birjand, Iran. | ||
| 2Professor of Water Engineering Dpt. | ||
| 3Department of Civil Engineering, University of Birjand, Iran | ||
| 4Department of Civil Engineering, University of Birjand, Birjand, Iran. | ||
| چکیده | ||
| Aquifer regeneration is one of the essential primary solutions to better the crisis of these resources. Optimum locating of injection and considering the influencing factors of the aquifer's features are the most critical issues that have always been challenging for researchers. Hence, this study addressed the efficiency of two developed numerical methods in simulating artificial recharge. For this purpose, three scenarios were defined to evaluate the performance of numerical methods (comparison of analytical and numerical solutions), simulating the rise of the groundwater level, and analyzing the sensitivity of the hydrodynamic features of the aquifer. The concept of two numerical methods (i.e., Finite Difference 'FD' and Finite Element' FE') was performed as open-source coded in MATrix LABoratory (MATLAB), and their efficiency was examined. Results indicated that the simulated groundwater drawdown due to extraction wells is compatible with the analytical solutions regarding RMSE and NSE. Also, the performance evaluation results showed that the accuracy of the FE method is better than the FD. The experiment's results of artificial recharge into the aquifer through the injection well also showed that the groundwater level rise in the FE method is faster than in the finite difference method. Also, after 1500 days of recharge, the height of the groundwater level is up to about 90 cm. | ||
| کلیدواژهها | ||
| Anisotropy؛ Heterogeneity؛ specific yield؛ Transmissivity؛ Weighted Residual Methods | ||
| مراجع | ||
|
Akbarpour, A., Zeynali, M. J., & Nazeri Tahroudi, M. (2020). Locating optimal position of pumping Wells in aquifer using meta-heuristic algorithms and finite element method. Water Resources Management, 34, 21-34. Arnold, J. G., Allen, P. M., & Bernhardt, G. (1993). A comprehensive surface-groundwater flow model. Journal of hydrology, 142(1-4), 47-69. Fletcher, S., Strzepek, K., Alsaati, A., & de Weck, O. (2019). Learning and flexibility for water supply infrastructure planning under groundwater resource uncertainty. Environmental Research Letters, 14(11), 114022. Hamidian, A. H., Razeghi, N., Zhang, Y., & Yang, M. (2019). Spatial distribution of arsenic in groundwater of Iran, a review. Journal of Geochemical Exploration, 201, 88-98. Hamraz, B., Akbarpour, A., Pourreza Bilondi, M., & Sadeghi Tabas, S. (2015). On the assessment of ground water parameter uncertainty over an arid aquifer. Arabian journal of Geosciences, 8, 10759-10773. Hora, T., Srinivasan, V., & Basu, N. B. (2019). The groundwater recovery paradox in South India. Geophysical Research Letters, 46(16), 9602-9611. Hussain, M. I., Muscolo, A., Farooq, M., & Ahmad, W. (2019). Sustainable use and management of non-conventional water resources for rehabilitation of marginal lands in arid and semiarid environments. Agricultural water management, 221, 462-476. Illangasekare, T. H., & Döll, P. (1989). A discrete kernel method of characteristics model of solute transport in water table aquifers. Water Resources Research, 25(5), 857-867. Jafarzadeh, A., Khashei-Siuki, A., & Pourreza-Bilondi, M. (2022). Performance assessment of model averaging techniques to reduce structural uncertainty of groundwater modeling. Water Resources Management, 36(1), 353-377. Jafarzadeh, A., Pourreza-Bilondi, M., Akbarpour, A., Khashei-Siuki, A., & Samadi, S. (2021). Application of multi-model ensemble averaging techniques for groundwater simulation: synthetic and real-world case studies. Journal of Hydroinformatics, 23(6), 1271-1289. Javandel, I., & Witherspoon, P. A. (1968). Application of the finite element method to transient flow in porous media. Society of Petroleum Engineers Journal, 8(03), 241-252. Liu, J., Shahroudy, A., Perez, M., Wang, G., Duan, L. Y., & Kot, A. C. (2019). Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding. IEEE transactions on pattern analysis and machine intelligence, 42(10), 2684-2701. Mackay, J. D., Jackson, C. R., & Wang, L. (2014). A lumped conceptual model to simulate groundwater level time-series. Environmental Modelling & Software, 61, 229-245. Maquin, M., Mouche, E., Mügler, C., Pierret, M. C., & Viville, D. (2017). A soil column model for predicting the interaction between water table and evapotranspiration. Water Resources Research, 53(7), 5877-5898. McDonald, M. G., & Harbaugh, A. W. (1988). A modular three-dimensional finite-difference ground-water flow model. US Geological Survey. Mohammadi, A. A., Zarei, A., Esmaeilzadeh, M., Taghavi, M., Yousefi, M., Yousefi, Z., ... & Javan, S. (2020). Assessment of heavy metal pollution and human health risks assessment in soils around an industrial zone in Neyshabur, Iran. Biological trace element research, 195, 343-352. Norouzi, H., & Shahmohammadi-Kalalagh, S. (2019). Locating groundwater artificial recharge sites using random forest: a case study of Shabestar region, Iran. Environmental Earth Sciences, 78, 1-11. Pacheco, F. A. L., Martins, L. M. O., Quininha, M., Oliveira, A. S., & Fernandes, L. S. (2018). Modification to the DRASTIC framework to assess groundwater contaminant risk in rural mountainous catchments. Journal of Hydrology, 566, 175-191. Sadeghi, A. R., & Hosseini, S. M. (2023). Assessment and delineation of potential groundwater recharge zones in areas prone to saltwater intrusion hazard: a case from Central Iran. Environmental Monitoring and Assessment, 195(1), 203. Sardo, M. S., & Jalalkamali, N. (2022). A system dynamic approach for reservoir impact assessment on groundwater aquifer considering climate change scenario. Groundwater for Sustainable Development, 17, 100754. Shepley, M. G., & Soley, R. W. N. (2012). The use of groundwater levels and numerical models for the management of a layered, moderate-diffusivity aquifer. Geological Society, London, Special Publications, 364(1), 303-318. Simpson, M. J., & Clement, T. P. (2003). Comparison of finite difference and finite element solutions to the variably saturated flow equation. Journal of hydrology, 270(1-2), 49-64. Xu, T., Valocchi, A. J., Ye, M., Liang, F., & Lin, Y. F. (2017). Bayesian calibration of groundwater models with input data uncertainty. Water Resources Research, 53(4), 3224-3245. Zaresefat, M., Ahrari, M., Reza Shoaei, G., Etemadifar, M., Aghamolaie, I., & Derakhshani, R. (2022). Identification of suitable site-specific recharge areas using fuzzy analytic hierarchy process (FAHP) technique: a case study of Iranshahr Basin (Iran). Air, Soil and Water Research, 15, 11786221211063849. Zienkiewicz, O., Mayer, P., & Cheung, Y. K. (1966). Solution of anisotropic seepage by finite elements. Journal of the Engineering Mechanics Division, 92(1), 111-120. | ||
|
آمار تعداد مشاهده مقاله: 170 تعداد دریافت فایل اصل مقاله: 195 |
||
نماد الکترونیک
سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب