Abbasnouvinpour, E., Karimi, F., & Rezaie, H. (2022). The Prediction of Groundwater Level in Ghorve Plain Using MODFLOW Model in Different Scenarios of LARS-WG Climate Change. Water and Soil Science, 32(4), 61-73. [In Persian]
Afruzi, A., & Zare Abyaneh, H. (2017). Groundwater Level Modeling and Forecasting Using the Time Series Models (Case Study: The Plains of Hamadan Province).
Journal of Watershed Management Research.
8(15), 102-111. [In Persian]
https://doi.org/10.29252/jwmr.8.15.102
Akhoni Pourhosseini F., Asadi, E. (2017). Bayesian networks, Gamma Test, Groundwater level, Model Least Squares Support Vector Machine, Plain Ardebil. Iranian Journal of Watershed Management Science and Engineering; 11 (36), 33-42. [In Persian]
Ansari, M., Jabbari, I. & Sargordi, F. (2023). The Effect of Water Resources on Spatial and Temporal Change of Soil Salinity in Izdkhast Playa, Fars Province Iran.
Environmental Monitoring and Assessment. 195(63), 1-15.
https://doi.org/10.1007/s10661-022-10678-5
Ansari, M., Jabbari, I., & Sargordi, F. (2021)a. Spatial Modelling of Water Quality Parameters Based on Geological Formations. Hydrogeomorphology, 8(26), 117- 137. [In Persian]
Ansari, M., Jabbari, I., & Sargordi, F. (2021)b. Use of Morphometric Indicators to Identify the Source of Salinity in Playa (Case Study Izadkhast Playa Fars Province). Quantitative Geomorphological Research, 10(3), 134-156. [In Persian]
https://www.geomorphologyjournal.ir/article_141043.html
Atayizadeh, S., Chit Sazan, M. (2018). Investigating the Impact of Drought on the Quantitative
Reduction of Underground Water in Maidaoud Plain Using a Mathematical Model. The
second national conference on the effects of drought and its management solutions.
Isfahan Agricultural and Natural Resources Research Center and Isfahan Governorate's
Unforeseen Events Headquarters. Isfahan. [In Persian]
Chidepudi, S.K.R., Massei, N., Massei, A., Henriot, A., Allier, D., Baulon, L. (2023). A Wavelet-Assisted Deep Learning Approach for Simulating Groundwater Levels Affected by Low-Frequency Variability. Science of the Total Environment. 865.
Heydari, A., & Jabbari, I. (2022). Simulation of Marvdasht Groundwater Level and Investigation of Forecast Scenarios Using MODFLOW Mathematical Code. Hydrogeomorphology, 8(29), 172-149. [In Persian]
Jovanovic, N. Z., Israel, S., Tredoux, G., Soltau, L., Le Maitre, D., Rusinga, F., Rozanov, A., van der Merwe, N., (2009). Nitrogen dynamics in land cleared of alien vegetation (Acacia saligna) and impacts on groundwater at Riverlands Nature Reserve (Western Cape, South Africa).
Water SA, 35(1), 37-44.
https://doi.org/10.4314/wsa.v35i1.76653
Kamali Ardakani, E., Bemani Kharanagh, A., Hayatzadeh, M., & Toshsi, G. (November, 2019).
Investigation of modeling techniques in studies related to changes in underground water.The
first international conference and the fourth national conference on protection of natural
resources and environment. Mohaghegh Ardabili University, Faculty of Agriculture and
Natural Resources, Ardabil. [In Persian]
Katibeh, H., & Hafezi, S. (2005). Application of Modflow in Groundwater Management and Evaluation of Artificial Recharge Project of Ab-Barik Aquifer (Bam). Journal of Water and Wastewater, 15(2), 45-58. [In Persian]
Kushwaha, R.K., Pandit, M.K., Goyal, T., (2009). MODFLOW Based Groundwater Resource Evaluation and Prediction in Mendha Sub-basin, NE Rajasthan,
Journal geological society of India, 74, 449–458.
https://doi.org/10.1007/s12594-009-0154-1
Masoumi, F., Najjar-Ghabel, S., & Safarzadeh, A. (2021). Automatic Calibration of Groundwater
Simulation Model (MODFLOW) by Indeterministic SUFI-II Algorithm. Amirkabir Journalof Civil Engineering, 53(4), 1507-1524.
McDonald, M.G., Harbaugh, A.W. (1988). A Modular Three-Dimensional Finite Difference Groundwater Flow Model. In: Techniques of Water-Resources Investigations, Book 6, U.S. Geological Survey, 588.
Mirzaei. A., & Nazemi, A. (2011). Water Table Elevation Prediction in the Shabestar Plain Using the Artificial Intelligence Techniques. Water Resources Engineering, 4(8), 1-10.
Mondal, N. C., Singh. V. S. (2009). Mass transport modeling of an industrial belt using visual MODFLOW and MODPATH: A case study.
Journal of Geography and Regional Planning 2(1), 001-019.
https://doi.org/10.5897/JGRP.9000103
Pande, C.B., Moharir, K.N., Singh, S.K.,
Elbeltagi, A.,
Bao Pham, Q.,
Panneerselvam, B.,
Varade, A.M.,
Kouadri, S. (2022). Groundwater Flow Modeling in the Basaltic Hard Rock Area of Maharashtra, India.
Applied Water Science, 12(12) 1-14.
https://doi.org/10.1007/s13201-021-01525-y
Parameswari, K., Mudgal, B. V. (2015). Assessment of Contaminant Migration in an Unconfined Aquifer Around an Open Dumping Yard: Perungudi a Case Study.
Environmental Earth Sciences,74(7),6111-6122.
https://doi.org/10.1007/s12665-015-4634-x
Patil, N.S., Chetan, N.L., Nataraja, M., Sutharb, S. (2020). Climate Change Scenarios and its Effect on Groundwater Level in the Hiranyakeshi Watershed.
Groundwater for Sustainable Development, 10.
https://doi.org/10.1016/j.gsd.2019.100323
Porhaghi, A., Akhondali, A., Radmanesh, F., & Mirzaee, S. (2014). Manage the Groundwater Sources Exploration of the Nourabad Plain in the Drought Conditions with MODFLOW Modeling. Irrigation Sciences and Engineering, 37(2), 71-82. [In Persian]
Rahmawati, N., Vuillaume, J.F. & Purnama, I.L.S. (2013). Salt Intrusion in Coastal and Lowland Areas of Semarang City, Journal of Hydrology, 494, 146-159.
Rajabi, K., Nikbakht Shahbazi, A., Fathian, H., & Zohrabi, N. (2021). Izeh Plain Subsidence Modeling Using MODFLOW Mathematical Code,
Iran-Water Resources Research,
16(4), 112-126.
https://dorl.net/dor/20.1001.1.17352347.1399.16.4.8.8
Rashvand, M., Li, J., Liu, Y. (2019). Coupled Stress-Dependent Groundwater Flow-Deformation Model to Predict Land Subsidence in Basins with Highly Compressible Deposits.
Hydrology, 6(3), 78.
https://doi.org/10.3390/hydrology6030078
Rayne, T. W., Bradbury, K., Muldoon, M. (2001). Report: Delineation of Capture Zones for Municipal Wells in Fractured Dolomite, Sturgeon Bay, Wisconsin, USA,
Hydrogeology Journal, 9, 432–450.
https://doi.org/10.1007/s100400100154
Shakoor, M., Khan, Z. M., Farid, H. U., Ahmad, F., Arshad, M., Qamar, U., Ahmad, R., & Sultan, M. (2018). Development of Groundwater Flow Model (MODFLOW) to Simulate the Escalating Groundwater Pumping in the Punjab, Pakistan.
Pakistan Journal of Agricultural Sciences, 55(3), 635-644.
https://doi.org/10.21162/PAKJAS/18.4909
Shakya, C. M., Bhattacharjya, R. K., Dadhich, S. (2022). Groundwater Level Prediction with Machine Learning for the Vidisha District, a Semi-Arid Region of Central India, Groundwater for Sustainable Development, 19.
Tao, H., Hameed, M.M., Marhoon, H.A., Zounemat-Kermani, M., Heddam, S., Kim, S., et al. (2022). Groundwater Level Prediction Using Machine Learning Models: A Comprehensive Review,
Neurocomputing, 489, 271-308.
https://doi.org/10.1016/j.neucom.2022.03.014
Wang, S., Shao, J., Song, X., Zhang, Y., Huo, Z. & Zhou, X. (2008). Application of MODFLOW and geographical information system to groundwater flow simulation in North plain, China
. Environmental Geological, 55, 1449-1462.
https://doi.org/10.1007/s00254-007-1095-x
Yanxun, S., Yuan, F., Hui, Q., Xuedi, Zh. )2011(. Research and Application of Groundwater Numerical Simulation-A Case Study in Balasu Water Source.
Procedia Environmental Sciences, 8,146–152.
http://dx.doi.org/10.1016/j.proenv.2011.10.024
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