• Spatial Information Research
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• v.7 no.1
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• pp.103-117
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• 1999

During the last several years, the geographic information system(GIS) technology has emerged as a very effective tool for analyzing complicated groundwater system Linking GIS to spatially distributed hydrogeological data and groundwater models offers many advantages in the analysis of urban groundwater system. This paper describes the urban hydrogeological application of GIS in Seoul area. This study constructs an urban hydrogeological database via pre- and post-processing of various types of urban hydrogeological data, such as groundwater-level fluctuation, topogaphic data, water chemistry data, subway pimping station data, tidal effect of the Han River, and hydrogeological parameters. A hydrogeological model has been designed to enable importing data from the database and providing the model output for the repetitive manipulation and display in GIS.

• The Journal of Engineering Geology
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• v.19 no.2
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• pp.227-233
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• 2009

Most of hydrological processes of groundwater recharge generally are occupied a rainfall, and recharged an aquifer along infiltrate into subsurface. These processes mainly have an influence by hydrological characteristics and topographic gradient of the aquifer. Development of water resources and its management is not good because of temporal and spatial disproportion in local rainfall. In order to deal with insufficiency of water resources from now on, development of groundwater dam requires a plan of a sustainable of new water resources. These are necessary that investigation of construction area of groundwater dam, effective groundwater development interconnected with surface water and groundwater, and assessment of an application of groundwater dam for utilization of water resources. Tn this study we were derived the input data by geological survey, hydraulic and hydrological analysis around Hoengchun-river, located in Hadong-gun, Gyeongsangnam Province where is a plan area for construction of groundwater dam. Based on input data we were carried out the interconnected analysis of surface water and groundwater using the SWAT-MODFLOW, and predicted groundwater fluctuation of its construction before and after.

• Journal of Environmental Science International
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• v.32 no.5
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• pp.303-313
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• 2023

In this study, the hydraulic gradient was calculated using the groundwater level and rainfall observed in the Hyogyo-ri area for a year, and the change in the hydraulic gradient according to the rainfall was analyzed. It was found that the groundwater level increased as the rainfall increased in all groundwater wells in the research site, and the groundwater level rise decreased as the altitude of the groundwater well increased. The hydraulic gradient in the research site ranged from 0.016 to 0.048, decreasing during rainfall and increasing after the end of the rainfall. As the rainfall increased, the groundwater level rise in the low-altitude area was more than the high-altitude area, and the hydraulic gradient decreased due to the difference in groundwater level rise according to the altitude. Through this study, it was found that the influence of rainfall is dominant for the fluctuation of the hydraulic gradient in the unconfined aquifer.

• Journal of the Korean earth science society
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• v.43 no.4
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• pp.539-556
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• 2022

In the coastal areas of Jeju Island, composed of volcanic rocks, saltwater intrusion occurs due to excessive pumping and geological characteristics. Groundwater level and electrical conductivity (EC) in multi-depth monitoring wells in coastal areas were characterized from 2005 to 2019. During the period of the lowest monthly precipitation, from November 2017 until February 2018, groundwater level decreased by 0.32-0.91 m. During the period of the highest monthly precipitation, from September 2019 until October 2019, groundwater level increased by 0.46-2.95 m. Groundwater level fluctuation between the dry and wet seasons ranged from 0.79 to 3.73 m (average 1.82 m) in the eastern area, from 0.47 to 6.57 m (average 2.55 m) in the western area, from 0.77 to 8.59 m (average 3.53 m) in the southern area, and from 1.06 to 12.36 m (average 5.92 m) in the northern area. In 2013, when the area experienced decreased annual precipitation, at some monitoring wells in the western area, the groundwater level decreased due to excessive groundwater pumping and saltwater intrusion. Based on EC values of 10,000 ㎲/cm or more, saltwater intrusion from the coastline was 10.2 km in the eastern area, 4.1 km in the western area, 5.8 km in the southern area, and 5.7 km in the northern area. Autocorrelation analysis of groundwater level revealed that the arithmetic mean of delay time was 0.43 months in the eastern area, 0.87 months in the northern area, 10.93 months in the southern area, and 17.02 months in the western area. Although a few monitoring wells were strongly influenced by nearby pumping wells, the cross-correlation function of the groundwater level was the highest with precipitation in most wells. The seasonal autoregressive integrated moving average model indicated that the groundwater level will decrease in most wells in the western area and decrease or increase in different wells in the eastern area.

• Journal of Soil and Groundwater Environment
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• v.20 no.3
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• pp.74-82
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• 2015

A method to filter out the effect of river stage fluctuations on groundwater level was designed using an artificial neural network-based time series model of groundwater level prediction. The designed method was applied to daily groundwater level data near the Gangjeong-Koryeong Barrage in the Nakdong river. Direct prediction time series models were successfully developed for both cases of before and after the barrage construction using past measurement data of rainfall, river stage, and groundwater level as inputs. The correlation coefficient values between observed and predicted data were over 0.97. Using the time series models the effect of river stage on groundwater level data was filtered out by setting a constant value for river stage inputs. The filtered data were applied to the hybrid water table fluctuation method in order to estimate the groundwater recharge. The calculated ratios of groundwater recharge to precipitation before and after the barrage construction were 11.0% and 4.3%, respectively. It is expected that the proposed method can be a useful tool for groundwater level prediction and recharge estimation in the riverside area.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.2
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• pp.1-11
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• 2023

This study analyzed the impact of greenhouse cultivation area and groundwater level changes due to the water curtain cultivation in the greenhouse complexes. The groundwater observation data in the Miryang study area were used and classified into greenhouse and field cultivation areas to compare the groundwater impact of water curtain cultivation in the greenhouse complex. We identified the characteristics of the groundwater time series data by the terrain of the study area and selected the optimal model through time series analysis. We analyzed the time series data for each terrain's two representative groundwater observation wells. The Seasonal ARIMA model was chosen as the optimal model for riverside well, and for plain and mountain well, the ARIMA model and Seasonal ARIMA model were selected as the optimal model. A suitable prediction model is not limited to one model due to a change in a groundwater level fluctuation pattern caused by a surrounding environment change but may change over time. Therefore, it is necessary to periodically check and revise the optimal model rather than continuously applying one selected ARIMA model. Groundwater forecasting results through time series analysis can be used for sustainable groundwater resource management.

• The Journal of Engineering Geology
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• v.18 no.1
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• pp.1-6
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• 2008

Precipitation and groundwater level data sets from Kum river watershed were analyzed and compared. The correlation between groundwater level and the moving average of precipitation was analyzed. Moving averaging technique is stochastic method and that was used to consider the effect of precipitation events on groundwater level fluctuation. Groundwater level generally follows seasonal precipitation pattern and low level occurs from early December to late April. Relatively high groundwater level is appeared in wet spell (July and August). The correlation between groundwater level and the moving average of precipitation to consider precedent precipitation events was analyzed with minimum two-year data sets. When the precipitation and groundwater level data set pair was selected the precipitation gauge station is closely located to groundwater level gauge station in the upstream direction to minimize the non-homogeneous precipitation distribution effect. The maximum correlation was occurred when the averaging periods were from 10 days to 150 days with Kum river watershed data. The correlation coefficients are influenced by data quality, missing data periods, or snow melt effect, etc. The maximum coefficient was 0.8886 for Kum river watershed data.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.04a
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• pp.323-327
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• 2004

The groundwater system of the Cheonggyecheon watershed is very complicated because it is influenced by many factors such as pumping out, groundwater leakages into subway stations, civil use of groundwater, and leaking water from water supply and sewage lines. So the characterization and evaluation of tile groundwater flow and contaminant transport in the Cheonggyecheon water system is quite a difficult task. The purpose of this study is to analyze of the influence to the 'groundwater' below the Cheonggyecheon watershed by the 'surface water' on the Cheonggyecheon stream after the restoration. We have so far collected groundwater quality data, hydrogeologic aquifer parameters, and tile amount of leakages into subway stations and its influence on the groundwater system of the Cheonggyecheon. Results show that groundwater level was influenced by the direction and depth of a 녀bway station. This study will continue to monitor groundwater quality, a water level fluctuation relation between rainfall and groundwater recharge for further investigation of the groundwater flow system in Cheonggyecheon.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.09a
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• pp.326-329
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• 2004

The groundwater system of the Cheonggyecheon watershed is very complicated because it is influenced by many factors such as pumping out, groundwater leakages into subway stations, civil use of groundwater, and leaking water from water supply and sewage lines. So the characterization and evaluation of the groundwater flow and contaminant transport in the Cheonggyecheon water system is quite a difficult task. The purpose of this study is to analyze the influence on the‘groundwater’ below the Cheonggyecheon watershed by the‘maintenance water’on the Cheonggyecheon stream after the restoration. We have so far collected groundwater quality data, hydrogeologic aquifer parameters, and the amount of leakages into subway stations and its influence on the groundwater system. Results show that groundwater level was influenced by the direction and depth of subway tunnel. This study will continue to monitor groundwater quality, a water level fluctuation relation between rainfall and groundwater recharge for further investigation of the groundwater flow system in the Cheonggyecheon watershed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1409-1420
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• 2014

In this work, we have carried out a sensitivity analysis of hydrogeologic parameters such as reaction factor and drainable pore space in groundwater table fluctuation model and have found characteristics of parameter distribution according to the altitude. We found that drainable pore space which is hydrogeologic parameter of aquifer didn't show any trend with altitude while reaction factor which is groundwater flow characteristic showed clear trend with altitude. To find a sensitivity of parameters, we compared RMSE of estimated groundwater recharges by using the mean value and linear relationship of parameters. As results, the linear equation derived for entire watersheds could be applied to estimate parameters for ungauged watershed. Furthermore, the features of parameter distribution can be used to predict hydrogeologic parameter in ungauged watersheds and it is expected that those features could be used for a basic data for groundwater modeling.