dor_id: 4102224

506.#.#.a: Público

590.#.#.d: Cada artículo es evaluado mediante una revisión ciega única. Los revisores son externos nacionales e internacionales.

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT), Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex), Scientific Electronic Library Online (SciELO), SCOPUS, Web Of Science (WoS)

561.#.#.u: http://www.geofisica.unam.mx/

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

336.#.#.b: info:eu-repo/semantics/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

590.#.#.b: Concentrador

883.#.#.u: http://www.revistas.unam.mx/front/

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, UNAM

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/2108/1772

100.1.#.a: Oroji, Balal

524.#.#.a: Oroji, Balal. (2018). Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan – Bahar plain. Geofísica Internacional; Vol. 57 No. 3, 2018; 161-174. Recuperado de https://repositorio.unam.mx/contenidos/4102224

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: 2018-07-02

653.#.#.a: DRASTIC; SINTACS; GOD; SI; groundwater; vulnerability; pollution; DRASTIC; SINTACS; GOD; SI; agua subterránea; vulnerabilidad; contaminación

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-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, fecha de asignación de la licencia 2018-07-02, para un uso diferente consultar al responsable jurídico del repositorio por medio de revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/2108

001.#.#.#: oai:ojs.ojs.geofisica.unam.mx:article/2108

041.#.7.h: eng

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.

773.1.#.t: Geofísica Internacional; Vol. 57 No. 3 (2018); 161-174

773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI

046.#.#.j: 2020-10-20 00:00:00.000000

022.#.#.a: 0016-7169

310.#.#.a: Trimestral

264.#.1.b: Instituto de Geofísica, UNAM

758.#.#.1: http://revistagi.geofisica.unam.mx/index.php/RGI

handle: 00ab74c1eaf13fe3

harvesting_date: 2020-09-23 00:00:00.0

856.#.0.q: application/pdf

file_modification_date: 2020-09-18 03:29:08.0

last_modified: 2020-10-21 00:00:00

license_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es

license_type: by-nc-nd

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Artículo

Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan – Bahar plain

Oroji, Balal

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

Oroji, Balal. (2018). Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan – Bahar plain. Geofísica Internacional; Vol. 57 No. 3, 2018; 161-174. Recuperado de https://repositorio.unam.mx/contenidos/4102224

Descripción del recurso

Autor(es)
Oroji, Balal
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
2018-07-02
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.
Tema
DRASTIC; SINTACS; GOD; SI; groundwater; vulnerability; pollution; DRASTIC; SINTACS; GOD; SI; agua subterránea; vulnerabilidad; contaminación
Idioma
eng
ISSN
0016-7169

Enlaces