Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain
Balal, Oroji
Instituto de Geofísica, UNAM, publicado en Geofísica Internacional, y cosechado de Revistas UNAM
dor_id: 4132375
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850.#.#.a: Universidad Nacional Autónoma de México
856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39/38
100.1.#.a: Balal, Oroji
524.#.#.a: Balal, Oroji (2018). Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain. Geofísica Internacional; Vol. 57 Núm. 3: Julio 1, 2018; 161-174. Recuperado de https://repositorio.unam.mx/contenidos/4132375
245.1.0.a: Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Geofísica, UNAM
264.#.0.c: 2018
264.#.1.c: 2018-07-01
653.#.#.a: DRASTIC; SINTACS; GOD; SI; agua subterránea; vulnerabilidad; contaminación; DRASTIC; SINTACS; GOD; SI; groundwater; vulnerability; pollution
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001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/39
041.#.7.h: spa
520.3.#.a: 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. doi: https://doi.org/10.22201/igeof.00167169p.2018.57.3.2108
773.1.#.t: Geofísica Internacional; Vol. 57 Núm. 3: Julio 1, 2018; 161-174
773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI
022.#.#.a: ISSN-L: 2954-436X; ISSN impreso: 0016-7169
310.#.#.a: Trimestral
300.#.#.a: Páginas: 161-174
264.#.1.b: Instituto de Geofísica, UNAM
doi: https://doi.org/10.22201/igeof.00167169p.2018.57.3.2108
handle: 38a581a33607b7f3
harvesting_date: 2023-06-20 16:00:00.0
856.#.0.q: application/pdf
file_creation_date: 2018-06-29 00:05:07.0
file_modification_date: 2022-04-08 13:48:28.0
file_creator: Oroji B.
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245.1.0.b: Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain
last_modified: 2023-06-20 16:00:00
license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es
license_type: by-nc-sa
Balal, Oroji
Instituto de Geofísica, UNAM, publicado en Geofísica Internacional, y cosechado de Revistas UNAM
Balal, Oroji (2018). Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain. Geofísica Internacional; Vol. 57 Núm. 3: Julio 1, 2018; 161-174. Recuperado de https://repositorio.unam.mx/contenidos/4132375