The Proton Magnetic Resonance (PMR) method is among newest technologies developed in recent decades for estimating hydraulic properties of soil, aquifers and underground reservoirs. The main characteristics of this technique is its ability to directly detect the free water molecules in formation pores resulting in the possibility of deriving the subsurface hydrological and petrophysical parameters such as porosity and permeability. In order to get a more reliable inverted model out of PMR data, the subsurface resistivity should be known as a priori. The studied area is part of north Shahinshahr plain close to the west border of HESA site which is regionally considered as part of great Zayandehrood watershed. In current study the inverted 1D, 2D and 3D resistivity models obtained from resistivity sounding data were generated first leading to determining groundwater table and basement depth and consequently mapping the regions with higher groundwater potential. It is geologically well known that due to the tectonic settings of the studied area which has caused main fracturing and folding of the subsurface basement, the main controlling factor of groundwater flow is believed to be the basement topography. Such inference is generally in well agreement with the geoelectrical inverted models. In the second phase of this research the PMR data were collected through surveying over one PMR sounding point. Due to being very close to the industrial activities in HESA site plus other electric power line sources, the noise level is very high leading to a lower signal to noise ratio of the PMR data. In order to reduce the noise level, application of real time filters such as notch, block differencing and sine differencing was inevitable during the collection of PMR field data. Through 1D inversion of PMR data, the static water table was interpreted to be resting at a depth of about 98 meter. Also through joint interpretation of true intrinsic resistivity model obtained from resistivity sounding data and porosity and permeability parameters obtained from PMR data, it is concluded that the aquifer is mainly consisted of medium to fine grain alluvial deposits. Finally through calibrating resistivity models obtained from electrical sounding data by PMR parameters, the resistivity sounding models were modified and extended to the three dimensional extent of studied area. Using the main three parameters characterizing groundwater potential such as thickness of water bearing bed, basement depth and water quality, the best locations for drilling water wells have been proposed.