A Method Combining Seepage Theory and Model Simulation for the Identification of Potential Groundwater ResourcesSource: Journal of Hydrologic Engineering:;2022:;Volume ( 027 ):;issue: 012::page 04022030DOI: 10.1061/(ASCE)HE.1943-5584.0002223Publisher: ASCE
Abstract: In recent years, climate change has caused extreme weather all over the world, including in Taiwan. Rainfall in Taiwan is distributed unevenly in both time and space, leading to a shortage of water resources which has become a pressing issue for the island. Groundwater plays a vital role as a backup and supplementary water resource. This study proposes a method that combines the seepage theorem, field observations, and a numerical simulation to identify high-potential groundwater resource regions to meet the demand for water supplies in future development. The Taichung Chingshui Coastal Plain (TCCP) was selected as a study area for testing the method. Two new wells were drilled in the area to obtain additional information to supplement the analysis of groundwater levels (GLs). Results indicate that the hydrological and hydrogeological parameters (e.g., Manning’s coefficients, hydraulic conductivity, and formation thickness) can be obtained reasonably by comparing the numerical simulation with the observed GLs. It was found that the Dadu, Waipu, and Qingshui districts are the top three areas with higher potential groundwater resources in the TCCP. Data from the observations wells and in situ pumping stations verified our simulation results, which showed that our proposed methodology is advantageous. The research results can help improve the effective use of existing groundwater resources and assist with water resource development and sustainable usage.
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| contributor author | Kai Wang | |
| contributor author | Dong-Sin Shih | |
| date accessioned | 2023-04-07T00:31:58Z | |
| date available | 2023-04-07T00:31:58Z | |
| date issued | 2022/12/01 | |
| identifier other | %28ASCE%29HE.1943-5584.0002223.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289224 | |
| description abstract | In recent years, climate change has caused extreme weather all over the world, including in Taiwan. Rainfall in Taiwan is distributed unevenly in both time and space, leading to a shortage of water resources which has become a pressing issue for the island. Groundwater plays a vital role as a backup and supplementary water resource. This study proposes a method that combines the seepage theorem, field observations, and a numerical simulation to identify high-potential groundwater resource regions to meet the demand for water supplies in future development. The Taichung Chingshui Coastal Plain (TCCP) was selected as a study area for testing the method. Two new wells were drilled in the area to obtain additional information to supplement the analysis of groundwater levels (GLs). Results indicate that the hydrological and hydrogeological parameters (e.g., Manning’s coefficients, hydraulic conductivity, and formation thickness) can be obtained reasonably by comparing the numerical simulation with the observed GLs. It was found that the Dadu, Waipu, and Qingshui districts are the top three areas with higher potential groundwater resources in the TCCP. Data from the observations wells and in situ pumping stations verified our simulation results, which showed that our proposed methodology is advantageous. The research results can help improve the effective use of existing groundwater resources and assist with water resource development and sustainable usage. | |
| publisher | ASCE | |
| title | A Method Combining Seepage Theory and Model Simulation for the Identification of Potential Groundwater Resources | |
| type | Journal Article | |
| journal volume | 27 | |
| journal issue | 12 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0002223 | |
| journal fristpage | 04022030 | |
| journal lastpage | 04022030_14 | |
| page | 14 | |
| tree | Journal of Hydrologic Engineering:;2022:;Volume ( 027 ):;issue: 012 | |
| contenttype | Fulltext |