Spatial-temporal pattern recognition of groundwater head variations for recharge zone identification
Journal
Journal of Hydrology
Journal Volume
549
Pages
351-362
Date Issued
2017
Author(s)
Chang, Liang-Cheng
Chang, Ping-Yu
Lin, Yuan-Chien
Chen, You-Cheng
Wu, Meng-Ting
Abstract
The delineation of groundwater recharge zones is crucial for the conservation of groundwater quality and quantity. To objectively estimate groundwater recharge zones, many field surveys are required that are costly in both time and money. To facilitate the assessment of recharge zones with high efficiency and low expense, this study proposes a ��fast-filter�� approach based on empirical orthogonal function analysis and applies it in a synthetic case study and to Taiwan's Yilan Plain. In the synthetic case study, we demonstrate that the proposed method can effectively identify the recharge area by considering the head variations driven by rainfall recharge. For the case of Yilan Plain application, the field investigations (i.e., collected wellbore logs and electrical resistivity tomography [ERT] surveys) and a groundwater simulation model support the recharge zones estimated by the proposed method. The study results show that within the estimated recharge zone, all of the collected wellbore logs consist of coarse grains, and thick and continuous high resistivity zones were shown in the ERT profile images. Moreover, the groundwater model indicates that the recharge within the estimated recharge zone is 57.6% of the total recharge despite that the area of the estimated zone is only 26.8% of the study area. Therefore, the proposed method is shown to delineate recharge zones at low cost. ? 2017 Elsevier B.V.
Subjects
Aquifer type
Electrical resistivity tomography
Empirical orthogonal function analysis
High recharge areas
Spatiotemporal analysis
SDGs
Type
journal article