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Exploring the Groundwater Hydrographs of Chou-Shui Chi Alluvial Fan by Linear Signal Model (LSM)

Author(s): Ouedraogo Abdoul Rachid; Shaohua Marko Hsu; Yu-Wen Chen

Linked Author(s): Shaohua Marko Hsu

Keywords: Artificial pumping; Linear Signal Model (LSM); Pumping Recovery Strength (PRS); Groundwater reference level (hb); Chou-shui Chi alluvial fan

Abstract: The over-pumping of groundwater for satisfying the water demand for agriculture, aquaculture, industrial, and domestics uses in the central region of Taiwan has caused the imbalance groundwater level and a large scale land subsidence. However, the demand for groundwater resources is increasing, and it is impossible, currently in Taiwan, to completely ban all pumping. There is urgent need to understand situation in the central Taiwan since several decades. In order to explore the groundwater hydrograph of Chou-Shui Chi alluvial fan, this research proposes establishing the Linear Signal Model (LSM) for groundwater by using the groundwater fluctuation level data and the rainfall event data observed in the Chou-Shui Chi alluvial fan for the past decades. Then, the LSM is used to identify the main pumping characteristics from the groundwater observation data and also simulate the variation of the groundwater level. By using LSM, four parameters, which are the natural loss, the recharge coefficient, the artificial pumping coefficient and the groundwater reference level, will be generated with different physical meaning, and this study will try to understand the impact of those parameter on the groundwater system. The achievement of this study prove that LSM can be used for groundwater prediction and describe an aquifer characteristic. The most relevant is the groundwater reference level (h b), our result demonstrate that hb can be used as the groundwater reference level in order to avoid the over-pumping that may lead to land-subsidence.


Year: 2020

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