Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain
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 it...
| Autor: | |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Geofísica Internacional |
| Idioma: | español inglés |
| OAI Identifier: | oai:revistagi.geofisica.unam.mx:article/39 |
| Acceso en línea: | http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39 |
| Access Level: | acceso abierto |
| Palabra clave: | DRASTIC SINTACS GOD SI agua subterránea vulnerabilidad contaminación groundwater vulnerability pollution |
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| dc.title.none.fl_str_mv |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| title |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| spellingShingle |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain Balal , Oroji DRASTIC SINTACS GOD SI agua subterránea vulnerabilidad contaminación DRASTIC SINTACS GOD SI groundwater vulnerability pollution |
| title_short |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| title_full |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| title_fullStr |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| title_full_unstemmed |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| title_sort |
Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plain |
| dc.creator.none.fl_str_mv |
Balal , Oroji |
| author |
Balal , Oroji |
| author_facet |
Balal , Oroji |
| author_role |
author |
| dc.subject.none.fl_str_mv |
DRASTIC SINTACS GOD SI agua subterránea vulnerabilidad contaminación DRASTIC SINTACS GOD SI groundwater vulnerability pollution |
| topic |
DRASTIC SINTACS GOD SI agua subterránea vulnerabilidad contaminación DRASTIC SINTACS GOD SI groundwater vulnerability pollution |
| description |
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. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018-07-01 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39 10.22201/igeof.00167169p.2018.57.3.2108 |
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http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39 |
| identifier_str_mv |
10.22201/igeof.00167169p.2018.57.3.2108 |
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spa eng |
| language |
spa eng |
| dc.relation.none.fl_str_mv |
http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39/38 http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39/2025 |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad Nacional Autónoma de México. Instituto de Geofísica |
| publisher.none.fl_str_mv |
Universidad Nacional Autónoma de México. Instituto de Geofísica |
| dc.source.none.fl_str_mv |
Geofisica Internacional; Vol. 57 No. 3 (2018): Julio 1, 2018; 161-174 Geofísica Internacional; Vol. 57 Núm. 3 (2018): Julio 1, 2018; 161-174 2954-436X 0016-7169 10.22201/igeof.00167169p.2018.57.3 reponame:Geofísica Internacional instname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO instacron:UNAM |
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UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
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UNAM |
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UNAM |
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Geofísica Internacional |
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Geofísica Internacional |
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1858175967891030016 |
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Assessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plainAssessing groundwater vulnerability by pollution mapping in Iran: Case study Hamadan - Bahar plainBalal , OrojiDRASTICSINTACSGODSIagua subterráneavulnerabilidadcontaminaciónDRASTICSINTACSGODSIgroundwatervulnerabilitypollutionGroundwater 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.El agua subterránea es vulnerable a la contaminación debido a actividades humanas. Un aspecto fundamental de su manejo es la localización de la vulnerabilidad. El acuífero de Hamadan-Bahar se encuentra en la parte central de la provincia de Hamadan al oeste de Irán, y es una reserva económica prioritaria ya que se utiliza tanto en irrigación como para consumo doméstico. A partir de 2005 se han desarrollado en Irán modelos numéricos para evaluar la vulnerabilidad y varios indicadores hidrológicos de contaminación potencial del agua. La aplicación de métodos como DRASTIC, SINTACS, SI y GOD ha mostrado que las zonas de mayor vulnerabilidad se encuentran al sur y al oeste del acuífero de Hamadan-Bahar. Los resultados indican que con los modelos DRASTIC, SI, GOD y SINTACS, el 7.1, 44.21, 29.56 y 20.16 por ciento de las áreas tienen un alto potencial de vulnerabilidad. Considerando el modelo DRASTIC el 33.6 % del área de estudio presenta una vulnerabilidad baja a la contaminación, mientras que el 29.4% presenta vulnerabilidad moderada. La precisión de los modelos se evaluó aplicando una regresión lineal entre los valores observados de nitratos y la vulnerabilidad estimada por contaminación en los pozos medidos. Una correlación significativa se observó entre los nitratos medidos y el potencial de contaminación evaluada con el modelo DRASTIC fue el mejor para estimar la vulnerabilidad del agua subterránea a la contaminación en los pozos medidos.Universidad Nacional Autónoma de México. Instituto de Geofísica2018-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistagi.geofisica.unam.mx/index.php/RGI/article/view/3910.22201/igeof.00167169p.2018.57.3.2108Geofisica Internacional; Vol. 57 No. 3 (2018): Julio 1, 2018; 161-174Geofísica Internacional; Vol. 57 Núm. 3 (2018): Julio 1, 2018; 161-1742954-436X0016-716910.22201/igeof.00167169p.2018.57.3reponame:Geofísica Internacionalinstname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICOinstacron:UNAMspaenghttp://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39/38http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/39/2025https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:revistagi.geofisica.unam.mx:article/392024-08-16T17:31:46Z |
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15,812429 |