In order to estimate groundwater recharge amount, it is important to use suitable methods that are appropriate to local groundwater systems. In this study, groundwater recharge amount of the Gangcheon watershed in Yeoju City was estimated by using groundwater flow modeling and hybrid water table flu...
In order to estimate groundwater recharge amount, it is important to use suitable methods that are appropriate to local groundwater systems. In this study, groundwater recharge amount of the Gangcheon watershed in Yeoju City was estimated by using groundwater flow modeling and hybrid water table fluctuation method and the recharge amounts by the two methods were compared each other. For the estimation of the groundwater recharge in the study area, average effective precipitation for 30 years at three rainfall stations (Yeoju, Buron, and Taepyeong stations) were utilized.
The recharge rate of the Gangcheon watershed (104.77 ㎢) was 18.13% of the annual precipitation was estimated by groundwater flow modeling. Visual Modflow, one of common groundwater flow modeling softwares, was applied to the study area by using input parameters (groundwater levels, hydraulic conductivity, storage coefficient, hydraulic boundaries, aquifer thickness, land surface elevation, pumping rate, rainfall amount, etc.) and estimated an appropriate groundwater recharge amount through sensitivity analysis.
On the other hand, the groundwater recharge rate by using the hybrid water table fluctuation (hybrid-WTF) method was estimated as 17.57% by using average effective precipitation for 30 years, groundwater level data, and particle size analysis of the soil layers in the study area. When applying the hybrid-WTF method, the groundwater recharge rates at the monitoring wells were more reasonably estimated by using averaged effective rainfall of the three rainfall stations than different effective rainfall at each monitoring well because the averaged effective rainfall could reduce the error of filling porosity.
The recharge rate estimated by the method of groundwater modeling can represent the whole study area. However, groundwater modeling cannot precisely estimate local groundwater recharge rat. On the other side, the hybrid-WTF method can properly estimate local groundwater recharge, while the method is inappropriate to represent the whole study area. Besides, the hybrid-WTF method the hybrid-WTF method seems to be highly applicable to the alluvial region where groundwater recharge is sensitive to rainfall, whereas the method is somewhat difficult to apply to the areas of low permeability layer or bedrock having slow groundwater recharge.
In order to estimate groundwater recharge amount, it is important to use suitable methods that are appropriate to local groundwater systems. In this study, groundwater recharge amount of the Gangcheon watershed in Yeoju City was estimated by using groundwater flow modeling and hybrid water table fluctuation method and the recharge amounts by the two methods were compared each other. For the estimation of the groundwater recharge in the study area, average effective precipitation for 30 years at three rainfall stations (Yeoju, Buron, and Taepyeong stations) were utilized.
The recharge rate of the Gangcheon watershed (104.77 ㎢) was 18.13% of the annual precipitation was estimated by groundwater flow modeling. Visual Modflow, one of common groundwater flow modeling softwares, was applied to the study area by using input parameters (groundwater levels, hydraulic conductivity, storage coefficient, hydraulic boundaries, aquifer thickness, land surface elevation, pumping rate, rainfall amount, etc.) and estimated an appropriate groundwater recharge amount through sensitivity analysis.
On the other hand, the groundwater recharge rate by using the hybrid water table fluctuation (hybrid-WTF) method was estimated as 17.57% by using average effective precipitation for 30 years, groundwater level data, and particle size analysis of the soil layers in the study area. When applying the hybrid-WTF method, the groundwater recharge rates at the monitoring wells were more reasonably estimated by using averaged effective rainfall of the three rainfall stations than different effective rainfall at each monitoring well because the averaged effective rainfall could reduce the error of filling porosity.
The recharge rate estimated by the method of groundwater modeling can represent the whole study area. However, groundwater modeling cannot precisely estimate local groundwater recharge rat. On the other side, the hybrid-WTF method can properly estimate local groundwater recharge, while the method is inappropriate to represent the whole study area. Besides, the hybrid-WTF method the hybrid-WTF method seems to be highly applicable to the alluvial region where groundwater recharge is sensitive to rainfall, whereas the method is somewhat difficult to apply to the areas of low permeability layer or bedrock having slow groundwater recharge.
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