• Journal of the Korean Society of Groundwater Environment
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• v.6 no.1
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• pp.33-41
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• 1999

Time-lag and amplitudes of the fluctuation of groundwater level are used to determine hydraulic parameters around Han River. The groundwater level at observation wells fluctuates between highest and lowest responding to the Han River level. The factors affecting the groundwater fluctuation are examined. The transmisivity of the Han River alluvium calculated from the measured water table fluctuations measured ranges from 9.39${\times}$10$^1$to 4.02${\times}$10$^3$㎡/day. Based on the hydrogeological data along the river sides, the flow characteristics of groundwater for water level fluctuations were simulated using a ground water flow model MODFLOW.

• Journal of Environmental Science International
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• v.23 no.4
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• pp.615-623
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• 2014

The groundwater level varies according to the characteristics and composite materials of aquifer. In this study, specific yield and reaction factor which are the major two hydrogeological parameters in the WTF(Water Table Fluctuation) method were estimated and analyzed spatial characteristics. 8 groundwater level stations which have enough measuring period and high correlation with rainfall in the Hancheon watershed were used. The results showed that specific yield was randomly distributed and reaction factor showed inverse trend with altitude. If the enough data were collected, reaction factor according to altitude in ungauged points could be estimated by using these parameter characteristics.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2277-2284
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• 2013

In this study, a groundwater table fluctuation method is suggested to predict groundwater level by means of groundwater table fluctuation due to recharge and discharge under unsteady condition. This model analyzes groundwater variation characteristics by using reaction factor related with groundwater flow and specific yield related with recharge. For the test of this model, measured groundwater level at JD Yongdam 1 and JW Konghang for 5 years (2006-2010) were used. At JD Yongdam 1, the estimated specific yield was 0.023, and the estimated reaction factor was 0.039. At JW Konghang, the estimated specific yield was 0.009 and the estimated reaction factor was 0.028, respectively. This model can estimate recharge and saturated parameters, thus it is expected that this model would be the proper tool for checking the parameter of hydrologic model and percolation features.

• Ecology and Resilient Infrastructure
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• v.5 no.2
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• pp.72-81
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• 2018

Groundwater level (GWL) fluctuation, which can occur due to several artificial and natural reasons, causes reduction of bearing capacity of foundation structures and can lead settlement of ground. As a result, GWL fluctuation affects stability and serviceability of entire building. However, in many case, GWL is considered as fixed value that obtain from geotechnical investigations. That is reason that GWL fluctuation is considered as area of non-geotechnical engineering. In present study, factors causing GWL fluctuation were analyzed at urban and rural area as preliminary research of quantification of GWL fluctuation. GWL varies according to hydrological and geographical characteristics. Also, the influence factors are largely affected by hydrological and geographical characteristics.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.09a
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• pp.113-114
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• 2004

In order to classify the groundwater recharge characteristics in an urban area, a time series analysis of groundwater level data was performed. For this study, the daily groundwater level data from 35 monitoring wells were collected for 3 years (Fig. 1). The use of the cross-correlation function (CCF), one of the time series analysis, showed both the close relationship between rainfall and groundwater level change and the lag time (delay time) of groundwater level fluctuation after a rainfall event. Based on the result of CCF, monitored wells were classified into two major groups. Group I wells (n=10) showed a fast response of groundwater level change to rainfall event, with a delay time of maximum correlation between rainfall and groundwater level near 1 to 7 days. On the other hand, the delay time of 17-68 days was observed from Group II wells (n=25) (Fig. 1). The fast response in Group I wells is possibly caused by the change of hydraulic pressure of bedrock aquifer due to the rainfall recharge, rather than the direct response to rainfall recharge.

• The Journal of Engineering Geology
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• v.17 no.4
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• pp.643-653
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• 2007

Average hydraulic conductivity was $2.64{\times}10^{-8}m/sec$ average RQD was 78%, average porosity was 0.51%, and range of groundwater level was $77.06{\sim}125.97m$ by measured in 8 boreholes at the Surak Mt. tunnel area. Groundwater level of two peaks in the Surak Mt. tunnel area were estimated through linear regression analysis for groundwater level versus elevation. And, average horizontal hydraulic gradient in the Surak Mt. tunnel area was calculated 0.267. Minimum, maximum, and average hydraulic conductivities that estimated by field tests were $5.56{\times}10^{-9}m/sec,\;6.12{\times}10^{-8}m/sec,\;and\;2.64{\times}10^{-8}m/sec$, respectively. Groundwater discharge rates per 1 meter that estimated using minimum, maximum, and average hydraulic conductivities and average horizontal hydraulic gradient were $0.00585m^2/day,\;0.06434m^2/day,\;and\;0.02775m^2/day$, respectively. Pure groundwater recharge rate per unit recharge area was calculated 223.96 mm/yr through water balance analysis. Prediction simulation of groundwater level fluctuation with minimum, maximum, and average hydraulic conductivities were conducted. Discharge rate into the Surak Mt. tunnel for minimum hydraulic conductivity was small, but groundwaer drawdown was highly. Discharge rate into the Surak Mt. tunnel for maximum hydraulic conductivity was higher, but groundwaer level was recovered quickly.

• The Journal of Engineering Geology
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• v.13 no.4
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• pp.457-474
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• 2003

This study aims to elucidate characteristics of groundwater level fluctuation at riverbank filtration sites in Daesan-myeon, Changwon City. Groundwater level fluctuation, river water level change and stream-aquifer interaction are very important to estimate optimal discharge rate of the pumping well. Water level contours from February 2003 to October 2003 show normal decreasing trend toward the Nakdong river with the hydraulic gradient of 0.008. However, flow reversion occurs when groundwater is discharged at the pumping wells or rise of the Nakdong river by rainfall. The fluctuation of the Nakdong river ranges 0 - 10 m msl. Autocorrelation analysis was conducted to the groundwater levels measured on the six monitoring wells (DS1, DS2, DS3, DS4, DS6 and DS7). The analyzed waterlevel data can be grouped into three: group 1 (DS1 and DS3) represents strong linearity and long memory effect, group 2 (DS1 and DS6) intermediate linearity and memory, and group 3 (DS4 and DS7) weak linearity and memory. Waterlevels of group 1 wells are relatively closely related to the change of river-water level. Those of group 2 wells are largely affected by the pumping and the river-water level, and those of group 3 wells are strongly linked to pumping.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2285-2291
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• 2013

In this study, daily based groundwater recharge was estimated under unsteady state by using groundwater table fluctuation model developed by Kim et al. (2013). This technique analyzes groundwater variation characteristics by using reaction factor related with groundwater flow and specific yield related with recharge. For the application of this model, measured groundwater level at JD Yongdam 1 and JW Konghang for 5 years were used. This model can estimate daily based groundwater recharge and the computed groundwater levels showed good agreement with measured groundwater levels. At JD Yongdam 1 and JW Konghang, the estimated recharges (rates) were 520.4~904.0mm (32.7~61.8%) and 447.4~633.4mm (24.0~45.1%), respectively. The developed model can be suggested as an efficient and precise method to estimate daily based groundwater recharge by using groundwater level data.

• Journal of Environmental Science International
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• v.22 no.5
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• pp.609-623
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• 2013

Fluctuation patterns of groundwater level as a factor that reflects the characteristics of groundwater system can be categorized as the various types of aquifer with the time-series data. Time-series data on groundwater level obtained from 115 monitoring wells in Jeju Island were classified according to variation types, which were largely affected by rainfall(Dr), rainfall and pumping(Drp), and unknown cause(De). Analysis results indicate that 106 wells belong to Dr and Drp and the ratio of the wells with the wide range of fluctuation in the western and northern regions was higher than that in the eastern and southern regions. From the results that Drp is relatively higher than Dr in the western region which has the largest agricultural areas, groundwater level fluctuations may be affected significantly due to the intensive agricultural use. Non-parametric trend analysis results for 115 monitoring wells show that the increasing and decreasing trends as the ratio of groundwater levels were 14.8% and 22.6%, respectively, and groundwater levels revealed to be increased in the western, southern and northern regions excluding eastern region. Results of correlation analysis that cross-correlation coefficients and the time lags in the eastern and western regions are relatively high and short, respectively, indicate that the rainfall recharge effect in these regions is relatively larger due to the gentle slope of topography compared to that in the southern and northern regions.

• Journal of Soil and Groundwater Environment
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• v.13 no.1
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• pp.67-76
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• 2008

In this study, a combined model of a water-table fluctuation and a soil moisture content model is proposed for the estimation of groundwater recharge rate at a given location. To evaluate the model, groundwater level data from 4 monitoring wells (Pohang Yeonil, Pohang Kibuk, Suncheon Oeseo, Hongcheon Hongcheon) of National Groundwater Monitoring Network from 1996 to 2005 and precipitation data of corresponding years are used. From the proposed methodology, the groundwater recharge rates are estimated to be from 0.5 to 61.4% for Hongcheon Hongcheon, from 1.1 to 27.4% for Pohang Yeonil, from 5.1 to 41.4% for Pohang Kibuk, and from 1.1 to 8.3% for Suncheon Oeseo. The magnitude of variation of the estimated recharge rate depends on the soil type observed near the stations. The groundwater fluctuation model used in this study includes precipitation as a unique source of water-table perturbation and there may exist corollary limitations. To improve the applicability of the proposed method, a capillary-water content constitutive model for unsaturated fractured rock media may be considered. The proposed recharge rate delineation method is physically based and uses minimum numbers of assumptions. The method may be used as a better substitute for the previous tools for delineating recharge rate of a location using water-table fluctuation method and contribute to national groundwater management plan. Further research on the spatial interpolation of the method is under progress.