Document
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Hydrogeology Journal
type: Journal
type: Entity
type: Continuant
type: Document
type: Generically Dependent Continuant
publication venue for: Assessing the inconsistency between groundwater vulnerability and groundwater quality: The case of Chapala Marsh, Mexico
type: Periodical
type: Collection
type: Information Content Entity
type: Thing

Continuant
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Entity
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Assessing the inconsistency between groundwater vulnerability and groundwater quality: The case of Chapala Marsh, Mexico
date time value: article date 3020
doi: 10.1007/s10040-011-0823-1
has publication venue: Hydrogeology Journal
e iscopus: 2-s2.0-84859850115
type: Thing
related by: authorship_17643
related by: authorship_17644
most specific type: Document
most specific type: Article
freetext keyword: Granular aquifer; Groundwater quality; Mexico; SINTACS; Vulnerability mapping anthropogenic source; aquifer; groundwater; groundwater pollution; numerical model; recharge; regression analysis; vulnerability; water quality; Mexico [North America]
page start: 591
crisid: 3020
type: Document
volume: 20
abstract: Aquifer systems present intrinsic properties such as vulnerability, which is identified as the potential risk of groundwater pollution by contaminants generated by human activity. When there are surface sources of pollution, usually there is a direct relationship between high vulnerability and decreased water quality. Nevertheless, this relationship is not observed in all aquifers and so the causative circumstances of inconsistencies between aquifer vulnerability and water quality have been investigated. This work addresses the vulnerability assessment of the Chapala Marsh area, Mexico, using SINTACS analysis. The Chapala Marsh aquifer is characterized by a granular structure and a fractured recharge zone; there are natural and anthropogenic sources of pollution. The results show discrepancies between the vulnerability indices and groundwater quality, as indicated by the existence of vulnerable areas with good water quality and vice versa. This is because the SINTACS method works well when contaminants have only vertical movement. For scenarios with lateral movement of contaminants, the method of geographic weighted regression (GWR) is used to model the influence of potential sources of contaminants on the water quality. © 2012 Springer-Verlag.
related by: authorship_17645
related by: authorship_17646
origen: scopus
issue: 3
page end: 603
type: Generically Dependent Continuant
type: Information Content Entity
estado: published
type: Continuant
type: Article
related by: authorship_17647
type: Entity

Generically Dependent Continuant
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RDF description of Assessing the inconsistency between groundwater vulnerability and groundwater quality: The case of Chapala Marsh, Mexico - http://orbis.uaslp.mx/vivo/individual/scopus3019
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date: 2026-08-28T02:11:25
publisher: vivo
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