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Recharge signal identification based on groundwater level observations
1Department of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan.
Environmental Monitoring and Assessment
|October 22, 2011
Summary
This study identifies key groundwater recharge zones in Taiwan
Area of Science:
- Hydrogeology
- Hydrology
- Geospatial analysis
Background:
- Groundwater levels are crucial for water resource management, especially in semi-arid regions.
- Understanding groundwater recharge dynamics is essential for sustainable water use.
- Spatiotemporal variations in groundwater levels are influenced by factors like rainfall and geological formations.
Purpose of the Study:
- To identify potential groundwater recharge zones in the Pingtung Plain, Taiwan.
- To analyze the spatiotemporal variations of piezometric heads using advanced statistical methods.
- To investigate the correlation between groundwater signals and local rainfall patterns.
Main Methods:
- Rotated Empirical Orthogonal Functions (REOF) for space-time decomposition of groundwater level data.
- Bayesian Maximum Entropy (BME) method for estimating piezometric heads.
- Correlation analysis between groundwater signals and historical rainfall records.
Main Results:
- The proximal fan areas were identified as the primary potential groundwater recharge zones.
- The recharge process in these areas accounts for 88% of the spatiotemporal variations in piezometric heads.
- A 1-2 month delay was observed between local precipitation and identified groundwater recharge.
Conclusions:
- The REOF method effectively decomposes groundwater level variations to pinpoint recharge zones.
- Rainfall is a significant contributor to groundwater recharge in the Pingtung Plain, with a discernible time lag.
- This research provides valuable insights for groundwater resource management and sustainable development in the region.
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