dor_id: 4132375

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Geofísica Internacional", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Scientific Electronic Library Online (SciELO); SCOPUS, Dialnet, Directory of Open Access Journals (DOAJ); Geobase

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650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://revistagi.geofisica.unam.mx/index.php/RGI

351.#.#.b: Geofísica Internacional

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

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883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

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

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39

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.

file_name: 1677fc007b1ad66d6f2bbd2b0b6ae987f8627d4318a34908765780dc5271ddf7.pdf

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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

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Artículo

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

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geofísica, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

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

Descripción del recurso

Autor(es)
Balal, Oroji
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain
Fecha
2018-07-01
Resumen
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            
Tema
DRASTIC; SINTACS; GOD; SI; agua subterránea; vulnerabilidad; contaminación; DRASTIC; SINTACS; GOD; SI; groundwater; vulnerability; pollution
Idioma
spa
ISSN
ISSN-L: 2954-436X; ISSN impreso: 0016-7169

Enlaces