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Compositional multivariate statistical analysis of thermal groundwater provenance: A hydrogeochemical case study from Ireland
- Source :
- Blake, S, Henry, T, Murray, J, Flood, R, Muller, M, Jones, A & Rath, V 2016, ' Compositional multivariate statistical analysis of thermal groundwater provenance: A hydrogeochemical case study from Ireland ', Applied Geochemistry, vol. 75, pp. 171-188 . https://doi.org/10.1016/j.apgeochem.2016.05.008
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Thermal groundwater is currently being exploited for district-scale heating in many locations world-wide. The chemical compositions of these thermal waters reflect the provenance and circulation patterns of the groundwater, which are controlled by recharge, rock type and geological structure. Exploring the provenance of these waters using multivariate statistical analysis (MSA) techniques increases our understanding of the hydrothermal circulation systems, and provides a reliable tool for assessing these resources.Hydrochemical data from thermal springs situated in the Carboniferous Dublin Basin in east-central Ireland were explored using MSA, including hierarchical cluster analysis (HCA) and principal component analysis (PCA), to investigate the source aquifers of the thermal groundwaters. To take into account the compositional nature of the hydrochemical data, compositional data analysis (CoDa) techniques were used to process the data prior to the MSA.The results of the MSA were examined alongside detailed time-lapse temperature measurements from several of the springs, and indicate the influence of three important hydrogeological processes on the hydrochemistry of the thermal waters: 1) salinity and increased water-rock interaction; 2) dissolution of carbonates; and 3) dissolution of sulfides, sulfates and oxides associated with mineral deposits. The use of MSA within the CoDa framework identified subtle temporal variations in the hydrochemistry of the thermal springs, which could not be identified with more traditional graphing methods, or with a standard statistical approach. The MSA was successful in distinguishing different geological settings and different annual behaviours within the group of springs. This study demonstrates the usefulness of the application of MSA within the CoDa framework in order to better understand the underlying controlling processes governing the hydrochemistry of a group of thermal springs in a low-enthalpy setting.
- Subjects :
- Provenance
water-rock interaction
principal component analysis
Geochemistry
Aquifer
010501 environmental sciences
Structural basin
010502 geochemistry & geophysics
triassic sandstone
01 natural sciences
hydrochemistry
chemistry data
ireland
sedimentary basin
Geochemistry and Petrology
Environmental Chemistry
Geomorphology
new-zealand
0105 earth and related environmental sciences
geography
Hydrogeology
geography.geographical_feature_category
low-enthalpy geothermal
fluid inclusion
r-package
compositional data analysis
geochemical data
Groundwater recharge
thermal springs
Pollution
6. Clean water
aquifer system
13. Climate action
Principal component analysis
Compositional data
Geology
Groundwater
Subjects
Details
- ISSN :
- 08832927
- Volume :
- 75
- Database :
- OpenAIRE
- Journal :
- Applied Geochemistry
- Accession number :
- edsair.doi.dedup.....c646341951d3a58dda7e78f5f278e2db
- Full Text :
- https://doi.org/10.1016/j.apgeochem.2016.05.008