SciELO - Scientific Electronic Library Online

vol.57 número3Application of magnetic method on the Argentine continental shelf between 35ºS and 48ºS índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados




Links relacionados

  • No hay artículos similaresSimilares en SciELO


Geofísica internacional

versión impresa ISSN 0016-7169


OROJI, Balal. Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain. Geofís. Intl [online]. 2018, vol.57, n.3, pp.161-174. ISSN 0016-7169.

Groundwater is vulnerable to contamination by anthropological activities. Vulnerability mapping is considered as a fundamental aspect of groundwater management. Hamadan - Bahar aquifer located in the center of Hamadan province in western Iran, is considered as an economic priority resource due to its use in irrigation and domestic consumption. Numerical modeling of assessment of vulnerability and various hydrological indicators of potential pollution of water resources in Iran have been the subject of several studies since 2005. The application of various methods, DRASTIC, SINTACS, SI and GOD, showed that the most vulnerable zones were the southern and western part of the Hamadan - Bahar aquifer. The results showed that with DRASTIC, SI, GOD and SINTACS models, 7.1, 44.21, 29.56 and 20.16 percent respectively of the areas have high potential vulnerability. According to the DRASTIC model 33.6 % of the study area has a low class of groundwater vulnerability to contamination, whereas a total of 29.4% of the study area has moderate vulnerability. Accuracy of the models was evaluated using a linear regression between nitrate observation values and estimated vulnerability to pollution in measured wells. A significant correlation was observed between measured nitrate and pollution potential evaluated by DRASCTIC model p<0.05, but no significant correlation was observed for GOD, SINTACS and IS models. The results showed that the DRASTIC model is better than other models to estimate groundwater vulnerability to pollution in the measured wells.

Palabras llave : DRASTIC; SINTACS; GOD; SI; groundwater; vulnerability; pollution.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )