Compositional multivariate statistical analysis of thermal groundwater provenance: a hydrogeochemical case study from Ireland.

作者: Sarah Blake , Tiernan Henry , John Murray , Rory Flood , Mark R. Muller

DOI: 10.1016/J.APGEOCHEM.2016.05.008

关键词:

摘要: 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 groundwater, which are controlled by recharge, rock type geological structure. Exploring using multivariate statistical analysis (MSA) techniques increases our understanding hydrothermal systems, provides a reliable tool assessing resources. Hydrochemical data from springs situated Carboniferous Dublin Basin east-central Ireland were explored MSA, including hierarchical cluster (HCA) principal component (PCA), to investigate source aquifers groundwaters. To take into account compositional nature hydrochemical data, (CoDa) used process prior MSA. results MSA examined alongside detailed time-lapse temperature measurements several springs, indicate influence three important hydrogeological processes on hydrochemistry waters: 1) salinity increased water-rock interaction; 2) dissolution carbonates; 3) sulfides, sulfates oxides associated with mineral deposits. use within CoDa framework identified subtle temporal variations could not be more traditional graphing methods, or standard approach. was successful distinguishing different settings annual behaviours group springs. This study demonstrates usefulness application order better understand underlying controlling governing low-enthalpy setting.

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