In this study, the sensitivity analysis of hydraulic conductivity and separation distance (distance between injection well and pumping well) was analyzed by establishing a conceptual model considering the hydrogeologic characteristics of facility agricultural complex in Korea. In the conceptual model, natural characteristics (topography and geology, precipitation, hydraulic conductivity, etc.) and artificial characteristics (separation distance from injection well to pumping well, injection rate and pumping rate, etc.) is entered, and sensitivity analysis was performed 12 scenarios using a combination of hydraulic conductivity (10-1 cm/sec, 10-2 cm/sec, 10-3 cm/sec, 10-4 cm/sec) and separation distance (10 m, 50 m, 100 m). Groundwater drawdown at the monitoring well was increased as the hydraulic conductivity decreased and the separation distance increased. From the regression analysis of groundwater drawdown as a hydraulic conductivity at the same separation distance, it was found that the groundwater level fluctuation of artificial recharge aquifer was dominantly influenced by hydraulic conductivity. In the condition that the hydraulic conductivity of artificial recharge aquifer was 10-2 cm/sec or more, the radius of influence of groundwater level was within 20 m, but In the condition that the hydraulic conductivity is 10-3 cm/sec or less, it is confirmed that the radius of influence of groundwater increases sharply as the separation distance increases.

함양 지체시간은 강우로부터 지표면을 지나 지하수면으로 도달하는 침투수의 통로 역할을 하는 비포화대를 통과할 때 발생하는 시간지연을 의미한다. 함양 지체시간을 직접적으로 측정하는 것은 불가능하기 때문에 본 연구는 고도와의 단순회귀분석을 이용하여 지체시간에 대한 경험식을 유도하였다. 이를 위하여 제주도 내에 4개의 유역(한천, 강정천, 외도천, 천미천)을 선정하여 총 18개의 관측지점에 대한 지체시간을 산정하였다. 또한 제안된 회귀식을 검증하기 위하여 선형 저수지 이론으로부터 유도된 방정식을 적용하여 구한 지체시간과 본 연구에서 유도된 경험식으로부터 산정된 지체시간을 이용하여 각각 산정한 지하수 함양량을 비교한 결과 상관성이 높은 것을 확인할 수 있었다. 따라서 본 연구에서 유도한 경험식을 이용하여 SWAT모형의 지체시간 매개변수에 적용할 경우 지하수 함양의 공간적 지연효과를 잘 반영할 것으로 판단된다.

Temporal variation of groundwater levels in Jeju Island reveals time-delaying and dispersive process of recharge, mainly caused by the hydrogeological feature that thickness of the unsaturated zone is highly variable. Most groundwater flow models have limitations on delineating temporal variation of recharge, although it is a major component of the groundwater flow system. A new mathematical model was developed to generate time series of recharge from precipitation data. The model uses a convolution technique to simulate the time-delaying and dispersive process of recharge. The vertical velocity and the dispersivity are two parameters determining the time series of recharge for a given thickness of the unsaturated zone. The model determines two parameters by correlating the generated recharge time series with measured groundwater levels. The model was applied to observation wells of Jeju Island, and revealed distinctive variations of recharge depending on location of wells. The suggested model demonstrated capability of the convolution method in dealing with recharge undergoing the time-delaying and dispersive process. Therefore, it can be used in many groundwater flow models for generating a time series of recharge.

In this work, the delay time for groundwater recharge was estimated by comparing simulated recharges by means of SWAT(Soil and Water Assessment Tool) model and WTF(Water Table Fluctuation) method. The delay time for groundwater recharge means that the time when the water from rainfall travelled through vadose zone just after getting out of soil zone bottom. As measuring this delay time is almost impossible, we used to compare the estimated values from modeling(SWAT) and analytic method(WTF). The test site is Hancheon watershed which has 8 groundwater measurement stations. The results show that the altitude has a linear relationship with the estimated delay time values. To validate these results, we conducted corelation analysis between transformed groundwater levels and observed ones. The results showed that computed groundwater levels have good corelation(R2=0.97, 0.87, respectively). The estimated delay time would be used for the groundwater behaviour characteristics in vadose zone. As recharge rates vary according to the height, the delay time is thought to be an import variable for the proper groundwater recharge estimation.

The variation of groundwater level in Jeju Island is analyzed with the data of precipitation observed from 48 monitoring post and groundwater level observed from 84 monitoring wells during 2001 to 2009. The groundwater level rises in summer and falls in winter. The rise of groundwater level by precipitation is fast and small in the eastern region and slow and large in the western region. However, the speed of fall during the period of no rain is slower in the eastern region than in the western region. It tells that permeability is greater in the eastern region than in the western region. In this paper, we set up the base level of groundwater and calculate recharge volume between the base level and groundwater surface. During the period, the average recharge volume was 9.83 ×109㎥ and the maximum recharge volume was 2.667 ×1010㎥ after the typhoon Nari. With these volume and the recharge masses obtained by applying the recharge ratio of 46.1%, estimated by Jeju Province (2003), the porous ratio over the whole Jeju Island is 16.8% in average and 4.6% in the case of maximum recharge volume just after typhoon Nari. A large difference in the two ratios is because that it takes time for groundwater permeated through the ground just after rain fall to fill up the empty porous part. Although the porous ratios over the whole Jeju Island obtained in this way has a large error, they give us the advantage to roughly estimate the amount of recharged groundwater mass directly from observing the groundwater level.

To solve a problem of water supply on urban areas, groundwater recharge has to be assessed not only for evaluating the possibility of groundwater development but also for identifying a sustainable aquifer system for water resource development. The assessment of groundwater recharge has been challenged since the land use has been changed constantly. In this study, the groundwater recharge and its ratio were assessed from 1961 to 2007 in Su-yeong-gu, Busan, South Korea by analyzing precipitation, land use, and soil characteristics. For land use analysis, the urbanization change was considered. The land use areas for the residential, agricultural, forest, pasture, bare soil, and water in 1975 occupy 18.6 %, 30.0%, 48.8%, 0.1%, 2.0%, and 0.5% of total area, respectively. The land use ratios were sharply changed from 1980 to 1985; the agricultural area was decreased to 18.3%, and the residential area was increased to 15.0%. From 1995 to 2000, the agricultural area was decreased to 5.5%, and the residential area was increased to 5.4%. The annual averages of precipitation, groundwater recharge, and its ratio were 1509.3 mm, 216.0 mm, and 14.3% respectively. The largest amount of the groundwater recharge showed in 1970 as 408.9 mm, comparing to 2138.1 mm of annual rainfall. Also, the greatest ratio of the groundwater recharge was 19.8% in 1984 with 1492.6 mm of annual rainfall. The lowest amount and ratio of the groundwater recharge were 71.9 mm and 8.0% in 1988, relative to 901.5 mm of annual precipitation. As a result, it is concluded that rainfall has increased, whereas groundwater recharge has decreased between 1961 and 2007.

본 연구에서는 SWAT 모형과 HELP 모형을 이용하여 보청천 유역의 지하수 함양량을 산정하였다. SWAT 모형은 지표수 및 지하수 성분을 모두 고려할 수 있는 물순환 모형이지만, 토양층에 대한 침루과정의 물리적 해석이 미흡하다. 반면에 HELP 모형은 중간유출 및 지하수 유출성분을 모의하지 못하지만, 토양층에서의 비포화흐름을 고려하여 침루과정을 해석할 수 있다. 국내유역에서 함양량 산정을 위해 SWAT 모형은 여러 유역에서 성공적으로 적용되어 왔지만,

Groundwater recharge characteristics in a fractured granite area, Mt. Geumjeong, Korea. was interpreted using bedrock groundwater and wet-land water data. Time series analysis using autocorreclation, cross-correlation and spectral density was conducted for characterizing water level variation and recharge rate in low water and high water seasons. Autocorrelation analysis using water levels resulted in short delay time with weak linearity and memory. Cross-correlation function from cross-correlation analysis was lower in the low water season than the high water season for the bedrock groundwater. The result of water level decline analysis identified groundwater recharge rate of about 11% in the study area.

본 연구에서는 대상유역인 경안천 유역 (유역면적 )에 대한 지하수 함양량 추정을 위해, 완전 분포형 모형인 MIKE SHE를 적용하였다. 모형 입력자료로서 DEM 토지이용도, 정밀토양도 등과 같은 GIS 자료를 구축하고, 기상자료를 이용하여 증발산 입력자료를 생성하였다. 유역 최종 출구점인 경안 수위표 지점에서의 유출자료를 활용하여 모형 보정과 검증을 수행한 결과, 관측치의 경향을 잘 모의하는 것으로 나타났으며, 유역내 운영되고 있는 마평 지하수위 관측

This study used SCS-CN method to estimate the real recharge of the study area which is one of the most reasonable techniques to estimate groundwater recharge when there is no available runoff data in a watershed. From the results of the real recharge analysis for the study area using SCS-CN method, it was analyzed that the year 1994 when the drought was severe showed the lowest recharge of 106.3mm with recharge rate of 12.4%, and the highest recharge of 285.6mm with recharge rate of 21.8% occurred in 1990. Yearly average recharge of 213.2mm was obtained, and the average recharge rate was 16.9%/year. KOG-FLOW model which has powerful post process functions consists of setting environments for input parameters in Korean language, and help function is added to each input data. Detailed information for each parameter is displayed when the icon is placed on the input parameters, and geologic boundaries or initial head data for each layer can be set easily on work sheet. The relative errors (R. E.) for each model’s observed values and calculated values are 0.156~0.432 in case of KOG-FLOW, and 0.451~1.175 in case of WINFLOW, therefore it is known that KOG-FLOW model developed in this study produced results compared to observed head values.

본 논문은 비산출률을 모르는 관측정에서 지하수함양량을 산정하기 위해 물수지분석법의 매개변수를 지하수위상 승량으로 추정하는 방법을 제시하고, 제주도 북부지역의 2개 관측정에 적용하였다. 식생근계의 토양에 대한 물수지가 일단위로 분석되었다. 직접유출랑은 SCS방법으로 계산하고, 실제증발산량은 Penman-Monteith식으로 산정한 잠재증발산량에 작물계수와 수분스트레스계수를 곱하여 산정하였다. 강수량과 이전 토양수분량에서 직접유출량과 잠재증발산량을 제하였으

Groundwater recharge from precipitation is affected by the infiltration from ground surface and the movement of soil water. Groundwater recharge is directly related to the groundwater amount and flow in aquifers, and baseflow to rivers. Determining groundwater recharge rate for a given watershed is a prerequisite to estimate sustainable groundwater resources. The estimation of groundwater recharge rate were carried out for three subwatersheds in the Wicheon watershed and two subwatersheds in the Pyungchang River basin and for the period 1990-2000, using the NRCS-CN method and the baseflow separation method. The recharge rate estimates were compared to each other. The result of estimation by the NRCS-CN method shows the average annual recharge rate 15.4-17.0% in the Wicheon watershed and 26.4- 26.8% in the Pyungchang River basin. The average annual recharge rates calculated by the baseflow separation method ranged 15.1-21.1% in the Wicheon watershed, and 25.2-33.4% in the Pyungchang River basin. The average annual recharge rates calculated by the NRCS-CN method is less variable than the baseflow separation method. However, the average annual recharge rates obtained from the two methods are not very different, except NO. 6 subwatershed in Pyungchang River basin.

현재 우리나라에서 주로 사용되는 지하수 함양량 추정방법은 지하수 감수곡선에 의한 기저유출분리법과 관측공의 자료를 이용한 지하수위 변동법으로 대별된다. 기저유출분리법은 연단위기반의 집중형 개념의 접근법을 사용하며, 지하수위변동곡선해석법은 유역단위의 물수지 개념보다는 국지적인 지하수 관측정의 변화에 주로 의존하고 있다. 한편 지하수 함양량은 기후조건, 토지이용, 관개와 수리지질학적 비균질성에 의해 현저한 시공간적 변동성을 나타내고 있어서 위의 두 가지 방법

The methodology developed by Soil Conservation Service for determination of runoff value from precipitation is applied to estimate the precipitation recharge in the Pyungchang river basin. Two small areas of the basin are selected for this study. The CN values are determined by considering the type of soil, soil cover and land use with the digital map of 1:25,000. Forest covers more than 94% of the study area. The CN values for the study area vary between 47 in the forest area and 94 in the bare soil under AMC 2 condition. The precipitation recharge rate is calculated for the year when the precipitation data is available since 1990. To obtain the infiltration rate, the index of CN and five day antecedent moisture conditions are applied to each precipitation event during the study period. As a result of estimation, the value of precipitation recharge ratio in the study area vary between 15.2% and 35.7% for the total precipitation of the year. The average annual precipitation recharge rate is 26.4% and 26.8%, meaning 377.9mm/year and 397.5mm/year in each basin.

어떤 특정 지역의 지하수 개발량을 적적히 파악하기 위해서는 지하수함양량의 산정이 필요하다. 경상북도에 위치한 위천 유역내의 소유역에 대하여 지하수 함양량을 산정하였다. 기저유출분리법과 SCS-CN방법을 이용하여 갈수년과 풍수년이 존재하는 1992년∼1997년간의 년 평균 지하수 함양량을 추정하였다. 기저유출분리법을 이용하여 추정한 결과, 연평균 지하수 함양률이 11.9%∼18.7%로 변화하였으며 계산기간 중의 년 평균 강수에 의한 지하수 함양량은 141

우리 나라 갈수기의 하천유출은 대부분 지하수에서 공급되는 유출이므로 홍수기 강우량에 의해 침투한 유역의 수분상태에 지배된다. 따라서, 홍수기의 지하수 함양량 추정을 통한 유역 상태 정보를 이용한다면 갈수기 월유출 예측을 만족스럽게 수행할 수 있는 수문학적 환경을 가지고 있다. 본 연구의 목적은 지하수 함양량에 의한 월유출량의 영향을 평가하고, 이를 다중회귀모형의 독립변수로 이용하여 장기 월유출량 예측을 시도하는 것이다. 해당 월의 유출량, 강수량, 선행