Groundwater is the main source of water for drinking and irrigation in the arid and semi-arid regions of Iran. Information on spatial variation in groundwater quality and modelling large scale groundwater geogenic contamination are crucial for management of the available water resources. This study evaluated the spatial distribution of various chemical parameters of groundwater, including heavy metals, in Khorasan province, Iran.
Identifying the regions with geogenic pollution risk of toxic metals in groundwater using geostatistical models and artificial intelligence methods; A case study: Razavi Khorasan Province
