Conservation of groundwater from over-exploitation—Scientific analyses for groundwater resources management
Journal
Science of the Total Environment
Journal Volume
598
Pages
828-838
Date Issued
2017
Author(s)
Abstract
Groundwater over-exploitation has produced many critical problems in the southern Taiwan. The accumulated stresses and demands make groundwater management a complex issue that needs innovative scientific analyses for deriving better water management strategies. In this study, we aimed to provide scientific analyses of the groundwater systems in the Pingtung Plain through soft-computing techniques to explore its spatial-temporal and hydro-geological characteristics for the elaboration of future groundwater management plans and in decision-making process. We conducted a study to assess the essential features of the groundwater systems based on the long-term large datasets of regional groundwater levels by using the principal component analysis (PCA), and the self-organizing map (SOM) with regression analysis. The PCA results demonstrated that two leading components could well present the spatial characteristics of the groundwater systems and classify the region into eastern, western and transition zones. The SOM results could visibly explore the behavior of regional groundwater variations in various aquifers and the multi-relations among climate and hydrogeological variables. Results revealed that the potential of groundwater recharge made by precipitation or river flow was higher in the eastern zone than in the western zone. Analysis results further showed an increase of the groundwater levels in the western zone after year 2006, while there were no obvious increases of the groundwater levels in the eastern or transition zones. Based on the investigated characteristics, we suggest that a sound groundwater management plan should consider zonal difference of the groundwater systems to achieve groundwater conservation. © 2017 Elsevier B.V.
Other Subjects
Aquifers; Conformal mapping; Decision making; Hydrogeology; Large dataset; Principal component analysis; Regression analysis; Self organizing maps; Soft computing; Surface waters; Water management; Geological characteristics; Groundwater conservation; Groundwater management plan; Groundwater resources management; Pingtung Plain; Regional groundwater; Surface water interaction; Water management strategies; Groundwater resources; ground water; decision making; exploitation; groundwater resource; groundwater-surface water interaction; hydrogeology; principal component analysis; spatial analysis; temporal analysis; water management; Article; geographic and geological phenomena; information processing; map; precipitation; principal component analysis; priority journal; river flow; scoring system; self organizing map; water management; water supply; Pingtung Plain; Taiwan
Type
journal article