[A-HW21] Hydrological modelling to support water resources management and engineering designs

[AHW21-04] Integrating groundwater level signal processing analysis into surface and subsurface water balance estimation

Hua-Ting Tseng¹, *Hwa-Lung Yu¹ (1.Dept of Bioenvironmental Systems Engineering, National Taiwan University)

Keywords:Groundwater, Signal processing method, water balance, data-driven approach

Climate change-induced extreme weather events pose challenges to water resource management, highlighting the increasing importance of groundwater resources in water resource management and allocation. In this study area, the Pingtung Plain, groundwater accounts for over 50% of the total water resource usage. However, relevant observations of groundwater extraction are quite limited, leading to issues such as land subsidence in coastal areas. Additionally, there is a high level of uncertainty in understanding regional groundwater balance by using numerical models.
This study proposes the integration of signal processing techniques to analyze the spatial and temporal distribution of groundwater extraction and recharge. Using the spatial distribution of groundwater observations as a basis for zoning, a regional groundwater balance model with high temporal resolution is developed. Through this model, the relationships between groundwater extraction, recharge, and groundwater flow in different zones are analyzed, elucidating the dynamics between groundwater and surface water flow.
The study estimates the hourly-scale groundwater system balance for the period of 2004-2022, with average annual groundwater extraction and recharge volumes of approximately 1.33 and 1.01 billion tons, respectively. The main areas of river infiltration and groundwater recharge and discharge are identified. The findings of this research provide valuable insights for regional water resource management.