[1] Gurdak JJ, Hanson RT, McMahon PB, Bruce BW, McCray JE, Thyne GD, Reedy RC. Climate variability controls on unsaturated water and chemical movement, High Plains aquifer, USA. Vadose Zone Journal. 2007; 6(3): 533-547.
https://doi.org/10.2136/vzj2006.0087.
[2] Thomas BF, Famiglietti JS, Landerer FW, Wiese DN, Molotch NP, Argus DF. GRACE groundwater drought index: Evaluation of California Central Valley groundwater drought. Remote Sensing of Environment. 2017; 198: 384-392. https://doi.org/
10.1016/j.rse.2017.06.026.
[3] Minnig M, Moeck C, Radny D, Schirmer M. Impact of urbanization on groundwater recharge rates in Dübendorf, Switzerland. Journal of Hydrology. 2018; 563: 1135-1146. https://doi.org/10.1016/j.jhydrol. 2017.09.058.
[4] Di Curzio D, Di Giovanni A, Lidori R, Montopoli M, Rusi S. Comparing rain gauge and weather RaDAR data in the estimation of the pluviometric inflow from the Apennine Ridge to the Adriatic Coast (Abruzzo Region, Central Italy). Hydrology. 2022; 9(12): 225.
https://doi.org/10.3390/hydrology9120225.
[5] De Vera A, Alfaro P, Terra R. Operational implementation of satellite-rain gauge data merging for hydrological modeling. Water. 2021; 13(4): 533.
https://doi.org/10.3390/w13040533.
[6] Ahmad AY, Saleh IA, Balakrishnan P, Al-Ghouti MA. Comparison GIS-Based interpolation methods for mapping groundwater quality in the state of Qatar. Groundwater for Sustainable Development. 2021; 13: 100573. https://
doi.org/10.1016/j.gsd.2021.100573.
[7] Feng D, Chen Y, Jiang P, Ni J. Research on optimizing rainfall interpolation methods for distributed hydrological models in sparsely networked rainfall stations of watershed. Water. 2025; 17(22); 3: 237. https://doi.org/10.3390/w17223237.
[8] Antonakos A, Lambrakis N. Spatial interpolation for the distribution of groundwater level in an area of complex geology using widely available GIS tools. Environmental Processes. 2021; 8(3): 993-1026. https://doi.org/10.1007/s40710-021-00529-9.
[9] Kisiki CP, Ayenew T, Mjemah IC. Estimation of groundwater recharge variability using a GIS-based distributed water balance model in Makutupora basin, Tanzania. Heliyon. 2023; 9(4). https://doi.org/10.1016/j.heliyon.2023.e15117.
[10] Rajabi K, Nikbakht Shahbazi A, Fathian H, Zohrabi N. Izeh Plain Subsidence Modeling Using MODFLOW Mathematical Code. Iran-Water Resources Research. 2021; 16(4): 112-126. https://doi.org/
20.1001.1.17352347.1399.16.4.8.8 [In Persian].
[11] Nadiri AA, Yousefzadeh S. A comparison of the performance of artificial neural network, fuzzy logic and adaptive neuro-fuzzy inference systems models in the estimation of aquifer hydraulic conductivity. A case study: Maraghe-Bonab Aquifer. Hydrogeomorphology. 2017; 4(10): 21-40 [In Persian].
[12] Morris DA, Johnson AI. Summary of hydrologic and physical properties of rock and soil materials, as analyzed by the hydrologic laboratory of the US Geological Survey, 1948-60. US Government Printing Office; 1967.
[13] Mehrabinejad A, Kalantari N, Alijani F, Mohammadi H. Zoning of denitrification with emphasis on hydrochemistry in the urban aquifer of Izeh, Northeast Khuzestan. Journal of Water and Sustainable Development. 2025; 12(1): 46-63. https://doi.org/10.22067/jwsd.v12i1.2401-1401 [In Persian].
[15] Croley II TE, Hartmann HC. Resolving Thiessen polygons. Journal of Hydrology. 1985; 76(3-4): 363-379. https://doi.org/10.1016/0022-1694(85)90143-X.
[16] Mushtaha AM, Van Camp M, Walraevens K. Quantification of recharge and runoff from rainfall using new GIS tool: Example of the Gaza Strip Aquifer. Water. 2019; 11(1): 84.
https://doi.org/10.3390/w11010084.
[17] Bahtiar R, Wijayanto Y, Budiman SA, Saputra TW. Perbedaan karakteristik sebaran spasial hujan di kabupaten jember menggunakan metode inverse distance weighted (IDW) dan poligon thiessen. Jember, Indonesia: Berkala Ilmiah Pertanian. 2022; 5(1): 1–5.