Analyzing Groundwater Resources Availability using Multivariate Analysis in the Selva Basin (NE Spain)
Groundwater availability depends on its accessibility, as well as on its quality. A principal component analysis (PCA) has been used to link the occurrence of natural (fluoride) and human (nitrate) pollutants with the hydrological dynamics in the Selva Basin (NE Spain) as a means to analyze quality...
| Authors: | , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2013 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10256/16090 |
| Online Access: | http://hdl.handle.net/10256/16090 |
| Access Level: | Open access |
| Keyword: | Anàlisi multivariable Multivariate analysis Aigües subterrànies Groundwater Hidrogeologia Hydrogeology Aigua -- Contaminació Water -- Pollution |
| Summary: | Groundwater availability depends on its accessibility, as well as on its quality. A principal component analysis (PCA) has been used to link the occurrence of natural (fluoride) and human (nitrate) pollutants with the hydrological dynamics in the Selva Basin (NE Spain) as a means to analyze quality problems and provide strategies for water resources exploitation. Statistical results show that both pollutants are independent, and they are related to groundwater fluxes of different spatial scales. Fluoride is linked to regional groundwater systems, while nitrate is related to local recharge produced within the basin. PCA thus permits relating a potential occurrence of pollutants to specific characteristics of the hydrogeological system. It also becomes an approach to assess its vulnerability by identifying key parameters related to pollution. Such a statistical outcome is of interest for water resources planning with the aim to avoid locating production wells in areas that show hydrogeological or hydrochemical features associated with either type of pollution |
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