Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Korea Water Resources Association
Journal Basic Information
Journal DOI :
Korea Water Resources Association
Editor in Chief :
Volume & Issues
Volume 45, Issue 12 - Dec 2012
Volume 45, Issue 11 - Nov 2012
Volume 45, Issue 10 - Oct 2012
Volume 45, Issue 9 - Sep 2012
Volume 45, Issue 8 - Aug 2012
Volume 45, Issue 7 - Jul 2012
Volume 45, Issue 6 - Jun 2012
Volume 45, Issue 5 - May 2012
Volume 45, Issue 4 - Apr 2012
Volume 45, Issue 3 - Mar 2012
Volume 45, Issue 2 - Feb 2012
Volume 45, Issue 1 - Jan 2012
Selecting the target year
The Economic Impacts of Subsidizing Water Industry Under Greenhouse Gases Mitigation Policy in Korea: A CGE Modeling Approach
Kim, Jae Joon ; Park, Sung Je ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1201~1211
DOI : 10.3741/JKWRA.2012.45.12.1201
This paper constructed the single country sequential dynamic CGE model to analyze the economic impacts of subsidizing water industry under the GHG emission abatement policy in Korea. We introduced the carbon tax to reduce the GHG emission and made two scenarios. One is to transfer the total tax revenue to household. The other is to mix the tax transfer and water industry support. Our Simulation results show that the macroeconomic effects might be positive by subsidizing water industry compared with the pure tax transfer. However, the support of water industry doesn't contribute to head for the non-energy intensive economy because it's economic activity highly depend on fossil energy and energy intensive products as intermediate demand. This means that it is important to make efforts on the cost effective measures such as energy technology progress, alternative energy development, and energy efficiency improvement in water industry against climate change policy.
Application of a Penalty Function to Improve Performance of an Automatic Calibration for a Watershed Runoff Event Simulation Model
Kang, Taeuk ; Lee, Sangho ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1213~1226
DOI : 10.3741/JKWRA.2012.45.12.1213
Evolutionary algorithms, which are frequently used in an automatic calibration of watershed runoff simulation models, are unconstrained optimization algorithms. An additional method is required to impose constraints on those algorithms. The purpose of the study is to modify the SCE-UA (shuffled complex evolution-University of Arizona) to impose constraints by a penalty function and to improve performance of the automatic calibration module of the SWMM (storm water management model) linked with the SCE-UA. As indicators related to peak flow are important in watershed runoff event simulation, error of peak flow and error of peak flow occurrence time are selected to set up constraints. The automatic calibration module including the constraints was applied to the Milyang Dam Basin and the Guro 1 Pumping Station Basin. The automatic calibration results were compared with the results calibrated by an automatic calibration without the constraints. Error of peak flow and error of peak flow occurrence time were greatly improved and the original objective function value is not highly violated in the automatic calibration including the constraints. The automatic calibration model with constraints was also verified, and the results was excellent. In conclusion, the performance of the automatic calibration module for watershed runoff event simulation was improved by application of the penalty function to impose constraints.
A Novel Water Surface Detection Method Based on Correlation Analysis for Rectangular Control Area
Lee, Chan Joo ; Seo, Myoung Bae ; Kim, Dong Gu ; Kwon, Sung Il ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1227~1241
DOI : 10.3741/JKWRA.2012.45.12.1227
In this study, a novel water surface detection method was proposed. In the method water surface is detected by analysis on correlation coefficients obtained from rectangular control areas of the same vertical position in two successive images including both water surface and staff gauge. Four methods respectively based on threshold, peak, slope and variance ratio, are used to identify water surface from vertical distribution of correlation coefficient. In addition, swaying correction algorithm and statistical filtering are applied to minimize outliers caused by positional image mismatch. Images taken from 28 different sites during low flow were tested to evaluate the method. Mean relative error to eye measurement was approximately from 3.4 to 5.7 cm. As long as water surface moves, this method can be used to improve image stage gauge by supplementing the previous water surface detection method.
Development of Relational Formula between Groundwater Pumping Rate and Streamflow Depletion
Kim, Nam Won ; Lee, Jeongwoo ; Lee, Jung Eun ; Won, You Seung ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1243~1258
DOI : 10.3741/JKWRA.2012.45.12.1243
The objective of this study is to develop the relational formula to estimate the streamflow depletion due to groundwater pumping near stream, which has been statistically derived by using the simulated data. The integrated surface water and groundwater model, SWAT-MODFLOW was applied to the Sinduncheon and Juksancheon watersheds to obtain the streamflow depletion data under various pumping conditions. Through the multiple regression analyses for the simulated streamflow depletion data, the relational formula between the streamflow depletion rate and various factors such as pumping rate, distance between well and stream, hydraulic properties in/near stream, amount of rainfall was obtained. The derived relational formula is easy to apply for assessing the effects of groundwater pumping on near stream, and is expected to be a tool for estimate the streamflow contribution to the pumped water.
Analysis of Effects of Groundwater Abstraction on Streamflow for Sinduncheon Watershed
Kim, Nam Won ; Lee, Jeongwoo ; Chung, Il Moon ; Sung, Gee Youne ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1259~1273
DOI : 10.3741/JKWRA.2012.45.12.1259
In this study, a watershed-based surface water and groundwater integrated model, SWAT-MODFLOW was used to quantify the stream flow depletion due to groundwater pumping for the Sinduncheon watershed. Complex water use conditions such as water taken from a stream, sewage disposal release, irrigation from agricultural reservoir, groundwater pumping were considered for simulations. In particular, the model was revised to reflect the effects of reservoir operation and return flow from the used groundwater on streamflow variation. The simulated results showed that the groundwater pumping at current status has induced the decrease of more than 10% in annual average streamflow and 40% in drought flow at the outlet of the Sinduncheon watershed, The simulated results also revealed that the vast water withdrawals at green house areas during winter season have dramatically changed streamflow from April to June. The streamflow depletion was mainly attributed to pumping wells located within the distance of 300 m from the stream for Sinduncheon watershed.
Laboratory Experiments of Stem Waves along a Vertical Structure under Overtopping Conditions
Lee, Jong-In ; Kim, Young-Taek ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1275~1292
DOI : 10.3741/JKWRA.2012.45.12.1275
This study investigates the characteristics of stem waves along a vertical structure under overtopping conditions through laboratory experiments in a wave basin. The uni-directional random waves with Bretschneider-Mitsuyasu frequency spectrum as incident waves were used. This study is focused on the reduction of wave height due to the variation of relative freeboard height (R) and the results for wave overtopping conditions are compared with those for non-overtopping conditions. Though the relative wave height along a vertical structure decreases with the decrease of relative freeboard, the variation of stem width is not significant. For the relative freeboard is greater than 1, the reduction effect of stem wave height by overtopping can be ignored in this experiments. The reduction effect of wave height along the structure for R =0.5 is about 10% comparing with R =1.5.
Evaluation of Forest Watershed Hydro-Ecology using Measured Data and RHESSys Model -For the Seolmacheon Catchment-
Shin, Hyung Jin ; Park, Min Ji ; Kim, Seong Joon ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1293~1307
DOI : 10.3741/JKWRA.2012.45.12.1293
This study is to evaluate the RHESSys (Regional Hydro-Ecological Simulation System) simulated streamflow (Q), evapotranspiration (ET), soil moisture (SM), gross primary productivity (GPP) and photosynthetic productivity (PSNnet) with the measured data. The RHESSys is a hydro-ecological model designed to simulate integrated water, carbon, and nutrient cycling and transport over spatially variable terrain. A 8.5
Seolma-cheon catchment located in the northwest of South Korea was adopted. The catchment covers 90.0% forest and the dominant soil is sandy loam. The model was calibrated with 2 years (2007-2008) daily Q at the watershed outlet and MODIS (Moderate Resolution Imaging Spectroradiometer) GPP, PSNnet and 3 year (2007～2009) daily ET data measured at flux tower using the eddy-covariance technique. The coefficient of determination (
) and the Nash-Sutcliffe model efficiency (ME) for Q were 0.74 and 0.63, and the average
for ET and GPP were 0.54 and 0.93 respectively. The model was validated with 1 year (2009) Q and GPP. The
and the ME for Q were 0.92 and 0.84, the
for GPP were 0.93.
Atmospheric Circulation of Pacific-Japan (PJ) and Typhoon-induced Extremes in the Nakdong River Basin
Kim, Jong-Suk ; Yoon, Sun-Kwon ; Moon, Young-Il ; Lee, Joo-Heon ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1309~1319
DOI : 10.3741/JKWRA.2012.45.12.1309
The East Asia (EA) region including China, Taiwan, Japan, and Korea are especially vulnerable to hydrometerological extremes during the boreal summer (June-September). Therefore, this study pursued an exploratory analysis to improve better understanding of the potential impacts of the PJ pattern on WNP Tropical cyclone (TC) activity and TC-affected extremes based on the Korean Nakdong River Basin. The results show that during the positive PJ years, the large-scale atmospheric environments tend more favorable for the TC activity than those in the negative PJ years. KP-influenced TCs during the positive (negative) PJ years are likely to occur more southwestward (northeastward), recurve at more northwestward (northeastward) locations, and indicate increase (decrease) in frequency over Korea and Japan. Consequently, TCs making landfall are more exhibited over the southeastern portions of South Korea during the positive PJ years.
Forecast of the Daily Inflow with Artificial Neural Network using Wavelet Transform at Chungju Dam
Ryu, Yongjun ; Shin, Ju-Young ; Nam, Woosung ; Heo, Jun-Haeng ;
Journal of Korea Water Resources Association, volume 45, issue 12, 2012, Pages 1321~1330
DOI : 10.3741/JKWRA.2012.45.12.1321
In this study, the daily inflow at the basin of Chungju dam is predicted using wavelet-artificial neural network for nonlinear model. Time series generally consists of a linear combination of trend, periodicity and stochastic component. However, when framing time series model through these data, trend and periodicity component have to be removed. Wavelet transform which is denoising technique is applied to remove nonlinear dynamic noise such as trend and periodicity included in hydrometeorological data and simple noise that arises in the measurement process. The wavelet-artificial neural network (WANN) using data applied wavelet transform as input variable and the artificial neural network (ANN) using only raw data are compared. As a results, coefficient of determination and the slope through linear regression show that WANN is higher than ANN by 0.031 and 0.0115 respectively. And RMSE and RRMSE of WANN are smaller than those of ANN by 37.388 and 0.099 respectively. Therefore, WANN model applied in this study shows more accurate results than ANN and application of denoising technique through wavelet transforms is expected that more accurate predictions than the use of raw data with noise.