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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korea Water Resources Association
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Journal DOI :
Korea Water Resources Association
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Volume & Issues
Volume 47, Issue 12 - Dec 2014
Volume 47, Issue 11 - Nov 2014
Volume 47, Issue 10 - Oct 2014
Volume 47, Issue 9 - Sep 2014
Volume 47, Issue 8 - Aug 2014
Volume 47, Issue 7 - Jul 2014
Volume 47, Issue 6 - Jun 2014
Volume 47, Issue 5 - May 2014
Volume 47, Issue 4 - Apr 2014
Volume 47, Issue 3 - Mar 2014
Volume 47, Issue 2 - Feb 2014
Volume 47, Issue 1 - Jan 2014
Selecting the target year
The Economic Impact Analysis on the Water Industry with Social Accounting Matrix
Choi, Hanjoo ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 95~106
DOI : 10.3741/JKWRA.2014.47.2.95
This paper analyses the economic effects of the water industry on the Korean economy by using Social Accounting Matrix (SAM). The SAM is constructed based on the Input-Output table, National account and Family income and expenditure survey for Korea in 2009. Through the SAM multiplier analysis, I estimate the effects of water investment. As the results, this study has found the followings. i) output multiplier effects of water sector are 5.300~7.741, ii) value added multiplier effects of water sector are 0.685~1.158, iii) income multiplier effects of water sector are 0.511~0.984, iv) redistributed income multiplier effects of water sector are -0.096~0.247. The results indicate that a significant influence on the industrial production and the household income in Korea.
An Evaluation of the Flood Control Effect according to the Hancheon Reservoir Operation
Moon, Duk Chul ; Jung, Kwan Sue ; Park, Won Bae ; Kim, Yong Cheol ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 107~117
DOI : 10.3741/JKWRA.2014.47.2.107
Hancheon reservoir, which is located upstream of Jeju city, has been built for flood mitigation after Typhoon Nari, 2007. To verify flood mitigating effect of the this reservoir on the downstream area, runoff analysis based on the measured data (two stream discharge monitoring stations and inflow data to the reservoir) is carried out during torrential rain followed by typhoon Dainmu, 2010. The stream water level was recorded as 3.14 m for the peak at the down gradient station. The stream water level under the assumption of absence of Hancheon reservoir is calculated as 4.16 m using the estimated rating curve, stream water propagation velocity, and the bypassed volume of water to the reservoir. This result shows that clear effect of reservoir operation which is capable of mitigating peak discharge in the downstream area.
Using Extended Kalman Filter for Real-time Decision of Parameters of Z-R Relationship
Kim, Jungho ; Yoo, Chulsang ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 119~133
DOI : 10.3741/JKWRA.2014.47.2.119
The study adopted extended Kalman filter technique in an effort to predict Z-R relationship parameter as a stable value in real-time. Toward this end, a parameter estimation model was established based on extended Kalman filter in consideration of non-linearity of Z-R relationship. A state-space model was established based on a study that was conducted by Adamowski and Muir (1989). Two parameters of Z-R relationship were set as state variables of the state-space model. As a result, a stable model where a divergence of Kalman gain and state variables are not generated was established. It is noteworthy that overestimated or underestimated parameters based on a conventional method were filtered and removed. As application of inappropriate parameters might cause physically unrealistic rain rate estimation, it can be more effective in terms of quantitative precipitation estimation. As a result of estimation on radar rainfall based on parameters predicted with the extended Kalman filter, the mean field bias correction factor turned out to be around 1.0 indicating that there was a minor difference from the gauge rain rate without the mean field bias correction. In addition, it turned out that it was possible to conduct more accurate estimation on radar rainfall compared to the conventional method.
Future Inflow Simulation Considering the Uncertainties of TFN Model and GCMs on Chungju Dam Basin
Park, Jiyeon ; Kwon, Ji-Hye ; Kim, Taereem ; Heo, Jun-Haeng ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 135~143
DOI : 10.3741/JKWRA.2014.47.2.135
In this study, Chungju inflow was simulated for climate change considering the uncertainties of GCMs and a stochastic model. TFN (Transfer Function Noise) model and 4 different GCMs (CNRM, CSIRO, CONS, UKMO) based on IPCC AR4 A2 scenario were used. In order to evaluate uncertainty of TFN model, 100 cases of noises are applied to the TFN model. Thus, 400 cases of inflow results are simulated. Future inflows according to the GCMs show different rates of changes for the future 3 periods relative to the past 30-years reference period. As the results, the summer inflow shows increasing trend and the spring inflow shows decreasing trend based on AR4 A2 scenario.
Evaluation of Future Turbidity Water and Eutrophication in Chungju Lake by Climate Change Using CE-QUAL-W2
Ahn, So Ra ; Ha, Rim ; Yoon, Sung Wan ; Kim, Seong Joon ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 145~159
DOI : 10.3741/JKWRA.2014.47.2.145
This study is to evaluate the future climate change impact on turbidity water and eutrophication for Chungju Lake by using CE-QUAL-W2 reservoir water quality model coupled with SWAT watershed model. The SWAT was calibrated and validated using 11 years (2000~2010) daily streamflow data at three locations and monthly stream water quality data at two locations. The CE-QUAL-W2 was calibrated and validated for 2 years (2008 and 2010) water temperature, suspended solid, total nitrogen, total phosphorus, and Chl-a. For the future assessment, the SWAT results were used as boundary conditions for CE-QUAL-W2 model run. To evaluate the future water quality variation in reservoir, the climate data predicted by MM5 RCM(Regional Climate Model) of Special Report on Emissions Scenarios (SRES) A1B for three periods (2013~2040, 2041~2070 and 2071~2100) were downscaled by Artificial Neural Networks method to consider Typhoon effect. The RCM temperature and precipitation outputs and historical records were used to generate pollutants loading from the watershed. By the future temperature increase, the lake water temperature showed
increase in shallow depth while
in deep depth. The future annual maximum sediment concentration into the lake from the watershed showed 17% increase in wet years. The future lake residence time above 10 mg/L suspended solids (SS) showed increases of 6 and 17 days in wet and dry years respectively comparing with normal year. The SS occupying rate of the lake also showed increases of 24% and 26% in both wet and dry year respectively. In summary, the future lake turbidity showed longer lasting with high concentration comparing with present behavior. Under the future lake environment by the watershed and within lake, the future maximum Chl-a concentration showed increases of 19 % in wet year and 3% in dry year respectively.
Comparison on Probability Plot Correlation Coefficient Test Considering Skewness of Sample for the GEV Distribution
Ahn, Hyunjun ; Shin, Hongjoon ; Kim, Sooyoung ; Heo, Jun-Haeng ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 161~170
DOI : 10.3741/JKWRA.2014.47.2.161
It is important to estimate an appropriate quantile for design of hydraulic structure. For this purpose, it is necessary to find the appropriate probability distribution which can represent the sample data well. Probability plot correlation coefficient test as one of goodness-of-fit test, is recently developed and has been known as a simple and powerful method. In this study, probability plot correlation coefficient test statistics using the plotting position considering the coefficients of skewness for the GEV distribution is derived, and represented by the regression equation. Monte-Carlo method is also performed to compare the rejection power between each method. As the results, the probability plot correlation coefficient test which is derived in this study is better than the others. In particular, when sample size is small and distribution has the shape parameter, rejection power of probability plot correlation coefficient test considering the coefficients of skewness is bigger than the others.
Estimation and Assessment of Bivariate Joint Drought Index based on Copula Functions
So, Jae Min ; Sohn, Kyung Hwan ; Bae, Deg Hyo ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 171~182
DOI : 10.3741/JKWRA.2014.47.2.171
The objective of this study is to evaluate the utilization of bivariate joint drought index in South Korea. In order to develop the bivariate joint drought index, in this study, Clayton copula was used to estimate the joint distribution function and the calibration method was employed for parameter estimation. Precipitation and soil moisture data were selected as input data of bivariate joint drought index for period of 1977~2012. The time series analysis, ROC (Receiver Operating Characteristic) analysis, spatial analysis were used to evaluate the bivariate joint drought index with SPI (Standardized Precipitation Index) and SSI (Standardized Soil moisture Index). As a result, SPI performed better for drought onset and SSI for drought demise. On the other hand the bivariate joint drought index captured both drought onset and demise very well. The ROC score of bivariate joint drought index was higher than that of SPI and SSI, and it also reflected the local drought situations. The bivariate joint drought index overcomes the limitations of existing drought indices and is useful for drought analysis.
Assessment of Water Resources Vulnerability Index by Nation
Won, Kwyang Jae ; Chung, Eun Sung ; Kim, Yeon Joo ; Hong, Il Pyo ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 183~194
DOI : 10.3741/JKWRA.2014.47.2.183
Discussions for water resources vulnerability and index development with sustainable concept are actively being made in recent years. Based on such index, water resources vulnerability of present and future is determined and diagnosed. This study calculated the water resources vulnerability rankings by 152 nations, using indicator related to water resources assessment that can be obtained from World Bank, VRI (Vulnerability Resilience Indicator), ESI (Environmental Sustainability Index). In order to quantitatively assess of water resources vulnerability based on this indicator, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) technique was applied to index water vulnerability and to determine the rankings by nations. As a results, South Korea was ranked as the 88th among the 152 nations including Korea. Among the continents, Oceania was the least vulnerable and Afirica was the most vulnerable in continents. WUnited State, Japan, Korea and China were vulnerable in order among the major countries. Therefore, water resources vulnerability rankings by nations in this study helps us to better understand the situation of South Korea and provide the data for water resources planning and measure.
Performance Evaluation of Water Supply for a Multi-purpose Dam by Deficit-Supply Operation
Lee, Dong Ryul ; Moon, Jang Won ; Choi, Si Jung ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 195~206
DOI : 10.3741/JKWRA.2014.47.2.195
In this study, a performance evaluation method of water supply for a multi-purpose dam based on deficitsupply method and reservoir storage is presented. The method is applied to 16 multi-purpose dams and water supply performance is evaluated. As a result, 6 dams (Soyanggang, Chungju, Hoengseong, Andong, Imha, and Hapcheon dam) have highest performance and 2 dams (Sumjingang and Buan dam) have relatively low performance. Particularly, Buan dam is the most vulnerable in the analysis results of reliability, resiliency, and vulnerability. Therefore, measures to improve the performance of water supply are needed in Buan multi-purpose dam.
Flood Forecasting Study using Neural Network Theory and Hydraulic Routing
Jee, Hong Kee ; Choo, Yeon Moon ;
Journal of Korea Water Resources Association, volume 47, issue 2, 2014, Pages 207~221
DOI : 10.3741/JKWRA.2014.47.2.207
Recently, due to global warming, climate change has affected short time concentrated local rain and unexpected heavy rain which is increasingly causing life and property damage. Therefore, this paper studies the characteristic of localized heavy rain and flash flood in Nakdong basin study area by applying Data Mining method to predict flood and constructing water level predicting model. For the verification neural network from Data Mining method and hydraulic flood routing was used for flood from July 1989 to September 1999 in Nakdong point and Iseon point was used to compare flood level change between observed water level and SAM (Slope Area Method). In this research, the study area was divided into three cases in which each point`s flood discharge, water level was considered to construct the model for hydraulic flood routing and neural network based on artificial intelligence which can be made from simple input data used for comparison analysis and comparison evaluation according to actual water level and from the model.