• Journal of the Korean Society of Groundwater Environment
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• v.6 no.3
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• pp.126-132
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• 1999

Tritium. a radioisotope of hydrogen, is a constituent of water molecules and, therefore. is a ideal water tracer in hydrology. The tritium level of the precipitation in Korea has been monitored at the Pohang station from 1961 to 1976 by IAEA and has been analyzed from 1987 to present by KAERI. The tritium contents of the precipitation were recorded up to about 1,940 TU owing to world-wide nuclear testing in 1963. The contents have decreased and in present are about 10 TU. of which values are similar to those in pre-thermonuclear period. These data can be usefully applied to hydrological studies such as interpretation of relationship between groundwater and surface water and dating of groundwater.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.93-93
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• 2012

하천의 수면 폭, 평균수심, 평균유속은 유량과 함께 변화한다. 이들의 관계는 멱함수의 형태로 표현될 수 있으며, 변동성을 바라보는 관점에 따라 두 가지로 구분된다. 하나는 시간에 따른 변동성으로 한 지점에서 서로 다른 주기를 갖는 유량들의 폭, 수심, 유속과의 관계(지점수리기하, at a station hydraulic geometry)이며, 다른 하나는 공간적 변동성으로 하천의 하류 방향으로 가면서 나타나는 유량과 폭, 수심, 유속과의 관계(하류수리기하, downstream hydraulic geometry)이다(Leopold and Maddock, 1953). 두 가지 수리기하의 경우 모두 자연 하천의 프랙털 특성(fractal)을 보여주는 예라 할 수 있다. Dodov and Foufoula-Georgiou (2004)는 Stall and Fok (1968)의 자료를 재분석한 결과, 지점수리기하의 지수 값이 해당 지점에서의 유역면적에 관한 함수로 표현될 수 있음을 발견하였다. 그러나, 이러한 멀티 프랙털 특성은 모든 하천유역에서 발견되는 것은 아니며, Dodov and Foufoula-Georgiou (2004)가 통계적으로 분석한 대상유역의 결과도 그 유의성에 논란의 여지가 있다고 볼 수 있어서, 현대 수문지형학의 남겨진 숙제라고 할 수 있다. 이에 본 연구에서는 수리기하의 멀티 프랙털 특성을 수문학적 동질성 여부라는 측면에서 탐구하였다. 이를 위해 본 연구에서는 기존 수리기하 관계식과 차별되는 무차원변량을 이용한 새로운 관계식을 제안하였으며 이를 관측 자료에 적용하여, 멀티 프랙털 특성의 존재 여부를 고찰하였다.

• Korean Journal of Remote Sensing
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• v.21 no.1
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• pp.31-49
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• 2005

We first review some history of the Global Geodynamics Project (GGP), particularly in the progress of ground-satellite gravity comparisons. The GGP Satellite Project has involved the measurement of ground-based superconducting gravimeters (SGs) in Europe for several years and we make quantitative comparisons with the latest satellite GRACE data and hydrological models. The primary goal is to recover information about seasonal hydrology cycles, and we find a good correlation at the microgal level between the data and modeling. One interesting feature of the data is low soil moisture resulting from the European heat wave in 2003. An issue with the ground-based stations is the possibility of mass variations in the soil above a station, and particularly for underground stations these have to be modeled precisely. Based on this work with a regional array, we estimate the effectiveness of future SG arrays to measure co-seismic deformation and silent-slip events. Finally we consider gravity surveys in volcanic areas, and predict the accuracy in modeling subsurface density variations over time periods from months to years.

• Korean Journal of Remote Sensing
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• v.24 no.1
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• pp.35-43
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• 2008

The purpose of this study is to evaluate the hydrological impact due to temporal land cover change by gradual urbanization of upstream watershed of Pyeongtaek gauging station of Anseong-cheon. WMS HEC-1 was adopted, and OEM with 200 m resolution and hydrologic soil group from 1:50,000 scale soil map were prepared. Land covers of 1986, 1990, 1994 and 1999 Landsat TM images were classified by maximum likelihood method. The watershed showed a trend that forest & paddy areas decreased and urban/residential area gradually increased during the four selected years. The model was calibrated at 2 locations (Pyeonglaek and Gongdo) by comparing observed with simulated discharge results for 5 summer storm events from 1998 to 2001. The watershed average CN values varied from 61.7 to 62.3 for the 4 selected years. To identify the impact of streamflow by temporal area change of a target land use, a simple evaluation method that the CN values of areas except the target land use are unified as one representative CN value was suggested. By applying the method, watershed average CN value was affected in the order of paddy, forest and urban/residential, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.193-193
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• 2017

Trend analysis can enhance our knowledge of the dominant processes in the area and contribute to the analysis of future climate projections. The results of previous studies in South Korea showed that southeast regions of Korea had the highest value of evapotranspiration. Thereby, it is of interest to determine the trend analysis in hydrological variables in this area. In this study, the recent 35 year trends of precipitation, reference evapotranspiration, and aridity index in monthly and annual time scale will be analyzed over three stations (Pohang, Daegu, and Pusan) of southeast Korea. After removing the significant Lag-1 serial correlation effect by pre-whitening, non-parametric statistical Mann-Kendall test was used to detect the trends. Also, the slope of trend of the Mann-Kendall test was determined by using Theil-Sen's estimator. The results of the trend analysis of reference evapotranspiration on the annual scale showed the increasing trend for the three mentioned stations, with significant increasing trend for Pusan station. The results obtained from this research can guide development if water management practices and cropping systems in the area that rely on this weather stations. The approaches use and the models fitted in this study can serve as a demonstration of how a time series trend can be analyzed.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.127-127
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• 2021

In order to estimate parameter uncertainty of hydrological models, the consideration of the likelihood functions which provide reliable parameters of model is necessary. In this study, the Bayesian Markov Chain Monte Carlo (MCMC) method with informal likelihood functions is used to analyze the uncertainty of parameters of the SURR model for estimating the hourly streamflow of Gunnam station of Imjin basin, Korea. Three events were used to calibrate and one event was used to validate the posterior distributions of parameters. Moreover, the performance of four informal likelihood functions (Nash-Sutcliffe efficiency, Normalized absolute error, Index of agreement, and Chiew-McMahon efficiency) on uncertainty of parameter is assessed. The indicators used to assess the uncertainty of the streamflow simulation were P-factor (percentage of observed streamflow included in the uncertainty interval) and R-factor (the average width of the uncertainty interval). The results showed that the sensitivities of parameters strongly depend on the likelihood functions and vary for different likelihood functions. The uncertainty bounds illustrated the slight differences from various likelihood functions. This study confirms the importance of the likelihood function selection in the application of Bayesian MCMC to the uncertainty assessment of the SURR model.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.142-142
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• 2022

Adjusting weather radar data is a prerequisite for its use in various hydrological studies. Effect of spatial variables are considered to adjust weather radar data in many of these researches. The existence of diverse topography in South Korea has increased the importance of analyzing these variables. In this study, some spatial variable like slope, elevation, aspect, distance from the sea, plan and profile curvature was considered. To investigate different topographic conditions, tried to use three radar station of Gwanaksan, Gwangdeoksan and Gudeoksan which are located in northwest, north and southeast of South Korea, respectively. To form the suitable fuzzy model and create the best membership functions of variables, ANFIS-PSO model was applied. After optimizing the model, the correlation coefficient and sensitivity of adjusted Quantitative Precipitation Estimation (QPE) based on spatial variables was calculated to find how variables work in adjusted QPE process. The results showed that the variable of elevation causes the most change in rainfall and consequently in the adjustment of radar data in model. Accordingly, the sensitivity ratio calculated for variables shows that with increasing rainfall duration, the effects of these variables on rainfall adjustment increase. The approach of this study, due to the simplicity and accuracy of this method, can be used to adjust the weather radar data and other required models.

• Journal of Korea Water Resources Association
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• v.52 no.1
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• pp.51-60
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• 2019

The major purpose of this study is to construct an in-situ soil moisture verification network employing Frequency Domain Reflectometry (FDR) sensors for Cosmic-ray soil moisture observation system operation as well as long-term field-scale soil moisture monitoring. The test bed of Cosmic-ray and FDR verification network system was established at the Sulma Catchment, in connection with the existing instrumentations for integrated data provision of various hydrologic variables. This test bed includes one Cosmic-ray Neutron Probe (CRNP) and ten FDR stations with four different measurement depths (10 cm, 20 cm, 30 cm, and 40 cm) at each station, and has been operating since July 2018. Furthermore, to assess the reliability of the in-situ verification network, the volumetric water content data measured by FDR sensors were compared to those calculated through the core sampling method. The evaluation results of FDR sensors- measured soil moisture against sampling method during the study period indicated a reasonable agreement, with average values of $bias=-0.03m^3/m^3$ and RMSE $0.03m^3/m^3$, revealing that this FDR network is adequate to provide long-term reliable field-scale soil moisture monitoring at Sulmacheon basin. In addition, soil moisture time series observed at all FDR stations during the study period generally respond well to the rainfall events; and at some locations, the characteristics of rainfall water intercepted by canopy were also identified. The Temporal Stability Analysis (TSA) was performed for all FDR stations located within the CRNP footprint at each measurement depth to determine the representative locations for field-average soil moisture at different soil profiles of the verification network. The TSA results showed that superior performances were obtained at FDR 5 for 10 cm depth, FDR 8 for 20 cm depth, FDR2 for 30 cm depth, and FDR1 for 40 cm depth, respectively; demonstrating that those aforementioned stations can be regarded as temporal stable locations to represent field mean soil moisture measurements at their corresponding measurement depths. Although the limit on study duration has been presented, the analysis results of this study can provide useful knowledge on soil moisture variability and stability at the test bed, as well as supporting the utilization of the Cosmic-ray observation system for long-term field-scale soil moisture monitoring.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.20-30
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• 2008

This study is to analyse the hydrological behavior of agricultural reservoir using SWAT model. For the upsteam watershed of Gongdo water level gauge station in Anseongcheon watershed, the streamflows at 2 reservoir (Gosam and Geumgwang) locations and Gongdo station were simulated with reservoir inclusion and exclusion. The daily water surface area and storage have been calculated considering the stage-storage curve function of the reservoir. Afterwards, the reservoir operation module in SWAT was modified from original module in SWAT for daily reservoir discharge simulated by water balance equation. Model validation results were Nash-Sutcliffe model efficiency coefficients value of 0.55, root mean square error value of 2.33 mm/day. On the other hand, the simulation results of two reservoir exclusion were Nash-Sutcliffe model efficiency coefficients value of 0.37, root mean square error value of 2.91 mm/day. The difference of Nash-Sutcliffe model efficiency coefficients between the simulation results of two reservoir inclusion and exclusion at Gongdo station was 0.18. This is caused by the storage and release operation of agricultural reservoirs for the runoff occurred at 2 reservoir watersheds.

• The Journal of Engineering Geology
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• v.21 no.2
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• pp.107-116
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• 2011

Groundwater level data and flowrate data were collected by considering the distance between the groundwater-level gauge station and flowrate gauge station (< 10 km) in the Geum River watershed, Baseflow was separated from the collected flowrate data using the WHAT SYSTEM, which is a Web- and GIS-based tool developed for hydrological applications, Correlation analysis was performed for the separated baseflow and groundwater-level data collected from a site close to the flowrate gauge station, Twenty regions were selected and data sets were collected from 2002 to 2008. Twelve regions yielded a correlation coefficient of > 0.5, When the data sets were analyzed for each year for all 20 regions, we obtained a correlation coefficient of 0.5-0.6 for 8 cases, 0.6-0.7 for 5 cases, and > 0.7 for 12 cases. For individual regions, the correlation coefficient varied from year to year. There was a tendency toward weak correlation in the case of drought or flood, Therefore, under normal conditions (i.e., neither flood nor severe drought), it is possible to estimate the baseflow from nearby groundwater-level data for regions with a high correlation coefficient.