Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan

Groundwater vulnerability assessment shows an extreme sensitivity to in situ anthro-pogenic pollutants. A dichotomous assessment of geological and hydrological (inter alia) characteristics makes it possible to determine the vulnerability of an aquifer. The natural carrying capacity of aquifer can be...

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Autores: Malik Muhammad, Akhtar, Zhonghua, Tang, Salman Dawood, Ammar, Earl, Bailey
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:México
Institución:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
Repositorio:Geofísica Internacional
Idioma:español
inglés
OAI Identifier:oai:revistagi.geofisica.unam.mx:article/434
Acceso en línea:http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434
Access Level:acceso abierto
Palabra clave:Aquífero
modelo DRASTIC
GIS
aguas subterráneas
Lahore
vulnerabilidad
aquifer
DRASTIC model
groundwater
vulnerability
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repository_id_str
dc.title.none.fl_str_mv Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
title Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
spellingShingle Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
Malik Muhammad, Akhtar
Aquífero
modelo DRASTIC
GIS
aguas subterráneas
Lahore
vulnerabilidad
aquifer
DRASTIC model
GIS
groundwater
Lahore
vulnerability
title_short Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
title_full Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
title_fullStr Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
title_full_unstemmed Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
title_sort Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan
dc.creator.none.fl_str_mv Malik Muhammad, Akhtar
Zhonghua, Tang
Salman Dawood, Ammar
Earl, Bailey
author Malik Muhammad, Akhtar
author_facet Malik Muhammad, Akhtar
Zhonghua, Tang
Salman Dawood, Ammar
Earl, Bailey
author_role author
author2 Zhonghua, Tang
Salman Dawood, Ammar
Earl, Bailey
author2_role author
author
author
dc.subject.none.fl_str_mv Aquífero
modelo DRASTIC
GIS
aguas subterráneas
Lahore
vulnerabilidad
aquifer
DRASTIC model
GIS
groundwater
Lahore
vulnerability
topic Aquífero
modelo DRASTIC
GIS
aguas subterráneas
Lahore
vulnerabilidad
aquifer
DRASTIC model
GIS
groundwater
Lahore
vulnerability
description Groundwater vulnerability assessment shows an extreme sensitivity to in situ anthro-pogenic pollutants. A dichotomous assessment of geological and hydrological (inter alia) characteristics makes it possible to determine the vulnerability of an aquifer. The natural carrying capacity of aquifer can be severely compromised by human activities. The physical structure and material composition of aquifers shows resistance to contaminants transport from surface to water-table. Currently, numerous methods have been posited evaluating aquifer's vulnerability. Similarly the DRASTIC model utilizes computer algorithms and hydro-geological data within a Geographical Information System (GIS) environment to compute aquifer vulnerability.The degree of vulnerability for each parameter can be evaluated by computing sensitivity analysis of DRASTIC index using GIS, showing the contribution of each parameter to vulnerability sensitivity. The GIS was used to developed map which showed high risk area of 28.8% and moderately vulnerable areas of 46.3% while areas of no risk were 10.4%. Central regions within the study area showed low vulnerability due to dense human settlement and low water level. However, pasture type lands and agricultural areas recorded high risk.Lahore's environmental and socio-economic development is dependent on policy makers and planner's ability to use information effectively for decision making. The resultant groundwater vulnerability map provides a basis for this aimed at protecting the aquifer from pollutants. Additionally, land use and development activities can be informed by mapping variables, showing that industrial and agriculture areas are highly vulnerable as compare to settlement areas.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434
10.1016/j.gi.2015.04.003
url http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434
identifier_str_mv 10.1016/j.gi.2015.04.003
dc.language.none.fl_str_mv spa
eng
language spa
eng
dc.relation.none.fl_str_mv http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434/447
http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434/2152
dc.rights.none.fl_str_mv Derechos de autor 2022 Geofisica Internacional
https://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2022 Geofisica Internacional
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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. 54 No. 1 (2015): January 1, 2015; 67-81
Geofísica Internacional; Vol. 54 Núm. 1 (2015): Enero 1, 2015; 67-81
2954-436X
0016-7169
10.22201/igeof.00167169p.2015.54.1
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institution UNAM
reponame_str Geofísica Internacional
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repository.mail.fl_str_mv
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spelling Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, PakistanEvaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, PakistanMalik Muhammad, Akhtar Zhonghua, Tang Salman Dawood, Ammar Earl, Bailey Aquíferomodelo DRASTICGISaguas subterráneasLahorevulnerabilidadaquiferDRASTIC modelGISgroundwaterLahorevulnerabilityGroundwater vulnerability assessment shows an extreme sensitivity to in situ anthro-pogenic pollutants. A dichotomous assessment of geological and hydrological (inter alia) characteristics makes it possible to determine the vulnerability of an aquifer. The natural carrying capacity of aquifer can be severely compromised by human activities. The physical structure and material composition of aquifers shows resistance to contaminants transport from surface to water-table. Currently, numerous methods have been posited evaluating aquifer's vulnerability. Similarly the DRASTIC model utilizes computer algorithms and hydro-geological data within a Geographical Information System (GIS) environment to compute aquifer vulnerability.The degree of vulnerability for each parameter can be evaluated by computing sensitivity analysis of DRASTIC index using GIS, showing the contribution of each parameter to vulnerability sensitivity. The GIS was used to developed map which showed high risk area of 28.8% and moderately vulnerable areas of 46.3% while areas of no risk were 10.4%. Central regions within the study area showed low vulnerability due to dense human settlement and low water level. However, pasture type lands and agricultural areas recorded high risk.Lahore's environmental and socio-economic development is dependent on policy makers and planner's ability to use information effectively for decision making. The resultant groundwater vulnerability map provides a basis for this aimed at protecting the aquifer from pollutants. Additionally, land use and development activities can be informed by mapping variables, showing that industrial and agriculture areas are highly vulnerable as compare to settlement areas.La evaluación de la vulnerabilidad de las aguas subterráneas muestra una extrema sensibilidad a los contaminantes antropogénicos in situ. A partir de una evaluación dicotómica (inter alia) de las características geológicas e hidrológicas fue posible determinar la vulnerabilidad de un acuífero. Se precisó que la capacidad de carga natural del acuífero puede verse seriamente comprometida con determinadas actividades humanas. La estructura y el material de la composición física de los acuíferos muestra resistencia al transporte de contaminantes desde la superficie hasta la capa freática. En la actualidad, se han planteado numerosos métodos para evaluar la vulnerabilidad del acuífero. El modelo DRASTIC utiliza algoritmos informáticos y datos hidrogeológicos dentro de un entorno de Sistema de Información Geográfica (GIS, por sus siglas en inglés) para calcular la vulnerabilidad.El grado de vulnerabilidad de cada parámetro puede evaluarse mediante el cálculo del análisis de sensibilidad del índice DRASTIC, utilizando GIS, y muestra la contribución de cada uno de estos parámetros. El GIS se utilizó para la elaboración del mapa, el cual muestra una alta zona de riesgo del 28,8%, zonas moderadamente vulnerables del 46,3% y zonas de riesgo del 10,4%. Dentro del área de estudio, las regiones centrales mostraron una baja vulnerabilidad debido a la densidad de asentamientos humanos y el bajo nivel de agua. Sin embargo, las tierras de tipo pastos y áreas agrícolas registraron un alto riesgo.El desarrollo ambiental y socioeconómico de Lahore depende de los políticos y los desarrolladores, y de capacidad de utilizar la información de manera efectiva para la toma de decisiones. El mapa de vulnerabilidad de las aguas subterráneas proporciona una base y está enfocada a la protección del acuífero de contaminantes. Además, el uso del suelo y las actividades de desarrollo pueden ser reportados por las variables de asignación, lo que demuestra que las zonas industriales y agrícolas son altamente vulnerables comparados con las zonas de asentamiento.Universidad Nacional Autónoma de México. Instituto de Geofísica2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistagi.geofisica.unam.mx/index.php/RGI/article/view/43410.1016/j.gi.2015.04.003Geofisica Internacional; Vol. 54 No. 1 (2015): January 1, 2015; 67-81Geofísica Internacional; Vol. 54 Núm. 1 (2015): Enero 1, 2015; 67-812954-436X0016-716910.22201/igeof.00167169p.2015.54.1reponame:Geofísica Internacionalinstname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICOinstacron:UNAMspaenghttp://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434/447http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/434/2152Derechos de autor 2022 Geofisica Internacionalhttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:revistagi.geofisica.unam.mx:article/4342024-08-16T17:31:53Z
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