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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
Empirical Formula of Delay Time for Groundwater Recharge in the Representative Watersheds, Jeju Island
Kim, Nam Won ; Na, Hanna ; Chung, Il-Moon ; Kim, Youn Jung ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 743~752
DOI : 10.3741/JKWRA.2014.47.9.743
Delay time for groundwater recharge means the travel time from the bottom of soil layer to groundwater through vadose zone after infiltration from rainfall. As it is difficult to measure delay time, we suggested an empirical formula which is derived by using linear regression between altitude and delay time. For the regression analysis, 4 major gauging watersheds were chosen (Hancheon, Kangjeongcheon, Oedocheon, Cheonmicheon) with 18 measured groundwater level stations. To verify this empirical formula, derived equation from linear reservoir theory was applied to compute delay time and to compare estimated amounts of groundwater recharge using both methods. The result showed good agreement. Furthermore, if derived empirical formula would be linked with SWAT model, the spatial time delay effect in the watershed could be reflected properly.
Estimation of the Regional Future Sea Level Rise Using Long-term Tidal Data in the Korean Peninsula
Lee, Cheol-Eung ; Kim, Sang Ug ; Lee, Yeong Seob ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 753~766
DOI : 10.3741/JKWRA.2014.47.9.753
The future mean sea level rise (MSLR) due to climate change in major harbors of Korean Peninsula has been estimated by some statistical methods in this article. Firstly, Mann-Kendall non-parametric trend test to find some trend in the observed long-term tidal data has been performed and also Bayesian change point analysis has been used also to detect the location of change points and their magnitude quantitatively. Especially, in this study, the results from Bayesian change point analysis have been applied to combine 4 future MSLR scenario projections with local MSLR data at 5 tidal gauges. This proposed procedure including Bayesian change point analysis results can improve the step for the determination of starting years of future MLSR scenario projections with 18.6-year lunar node tidal cycle and effectively consider local characteristics at each gauge. The final results by the proposed procedure in this study have shown that the future MSLR in Jeju region (Jeju tidal gauge) is in the largest increment and also the future MSLRs in Western region (Boryeong tidal gauge) and Southern region (Busan tidal gauge) are in the second largest one. Finally, it has been shown that the future MSLRs in Southern region (Yeosu tidal gauge) and Eastern region (Sokcho tidal gauge) seem to be in the relatively smallest growth among 5 gauges.
Study on Runoff Variation by Spatial Resolution of Input GIS Data by using Distributed Rainfall-Runoff Model
Jung, Chung Gil ; Moon, Jang Won ; Lee, Dong Ryul ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 767~776
DOI : 10.3741/JKWRA.2014.47.9.767
Changes in climate have largely increased concentrated heavy rainfall, which in turn is causing enormous damages to humans and properties. Floods are one of the most deadly and damaging natural disasters known to mankind. The flood forecasting and warning system concentrates on reducing injuries, deaths, and property damage caused by floods. Therefore, the exact relationship and the spatial variability analysis of hydrometeorological elements and characteristic factors is critical elements to reduce the uncertainty in rainfall-runoff model. In this study, grid resolution depending on the topographic factor in rainfall-runoff models presents how to respond. semi-distribution of rainfall-runoff model using the model GRM simulated and calibrated rainfall-runoff in the Gamcheon and Naeseongcheon watershed. To run the GRM model, input grid data used rainfall (two event), DEM, landuse and soil. This study selected cell size of 500 m(basic), 1 km, 2 km, 5 km, 10 km and 12 km. According to the resolution of each grid, in order to compare simulation results, the runoff hydrograph has been made and the runoff has also been simulated. As a result, runoff volume and peak discharge which simulated cell size of DEM 500 m~12 km were continuously reduced. that results showed decrease tendency. However, input grid data except for DEM have not contributed increase or decrease runoff tendency. These results showed that the more increased cell size of DEM make the more decreased slope value because of the increased horizontal distance.
Study on Design Capacity of Stormwater Pipe and Pumping Station considering Peak Rainfall Intensity
Chung, Gunhui ; Sim, Kyu Bum ; Kim, Eung Seok ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 777~787
DOI : 10.3741/JKWRA.2014.47.9.777
Stormwater pipe systems are most commonly used to discharge rainwater from the urban catchment covered by the impervious area. To design stormwater pipe and rainwater pumping station, frequency analysis is implemented using historical rainfall and the design rainfall is timely distributed using theoretical shape such as Huff distribution. This method cannot consider the rainfall intensity variation caused by climate change which is type of uncertainty. Therefore, in this study, runoff from Gasan1 stormwater pumping stations catchment is calculated using design rainfall distributed by the 2nd quartile distribution method and the historical rainfall events. From the analysis, the nodal flooding in the urban catchment is likely caused by the high peak rainfall event rather than the large amount of rainfall. The linear regression analysis is implemented. As a result, when several storms have the same amount of rainfall, the nodal flooding in the stormwater pipe systems could be caused by the high peak of storm events. Since as the storm duration become short, the peak rainfall become high, the nodal flooding likely become severe with the short storm duration. The uncertainty in the peak data of design rainfall is analyzed and this uncertainty has to be consider in the stormwater pipe design process.
Evaluation of Inland Inundation Risk in Urban Area using Fuzzy AHP
Shin, Ji Yae ; Park, Yei Jun ; Kim, Tae-Woong ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 789~799
DOI : 10.3741/JKWRA.2014.47.9.789
This study presented how to evaluate the inland inundation risk considering the characteristics of inland flood. Fuzzy AHP (Analytic Hierarchy Process), which can deal with the uncertainty or ambiguousness of the decision-making process, was used to estimate the inundation risk. The criteria used for inland inundation risk include the physical index, social index and inland flood. Each index contains three detailed indicators then total nine indicators were employed in this study. The inundation risk evaluation was carried out for each node (manhole) within the drainage system, not to the administrative extent, which enabled us to point out nodes with high risk. The proposed Fuzzy AHP was applied to Geoje district in Busan. The results indicated that the junction of Oncheoncheon and Geojecheon has high risk which is consistent with the fact that this junction has already experienced floods in the past. The proposed method can be used for evaluating inland inundation risk and preparing flood prevention plans in inland flood-prone urban areas.
Runoff Analysis Using Dual Polarization RADAR and Distributed Model
Jeong, Jiyoung ; Yu, Myungsu ; Yi, Jaeeung ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 801~812
DOI : 10.3741/JKWRA.2014.47.9.801
In this study, average rainfall of basin was estimated and compared with that obtained from Biseulsan dual polarization RADAR. And the runoffs are estimated using Vflo distribution model for Habcheon reservoir basin and Huicheon basin. In the rainfall estimation using dual polarization RADAR, the rainfall was estimated by using the specific phase difference and differential reflectivity of dual polarization RADAR variables. As a result, for all events rainfall estimation using dual polarization RADAR has the closest value to the gauge rainfall in terms of the peak rainfall and total rainfall. Also, runoff simulation results from dual polarization RADAR show the better results. It is concluded that the method using dual polarization radar can improve the accuracy more than a single polarization radar using only horizontal reflectivity.
Drought Analysis using SC-PDSI and Derivation of Drought Severity-Duration-Frequency Curves in North Korea
Kang, Shin Uk ; Moon, Jang Won ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 813~824
DOI : 10.3741/JKWRA.2014.47.9.813
In this study, drought of North Korea are analyzed using drought index. 27 weather stations are selected and monthly precipitation and average temperature data are collected for drought analysis. SC-PDSI is used for drought analysis and calculated using collected weather data during 1984~2013 (30 years) in 27 weather stations. From the analysis result of historical drought event using drought index, it is confirmed that severe droughts occurred in the early and mid 2000`s at most stations. Secondly, drought frequency analysis was carried out for the derivation of drought severity-duration-frequency (SDF) curves to enable quantitative evaluations of past historical droughts having been occurred in 6 stations (Pyeongyang, Hamheung, Cheongjin, Wonsan, Haeju, Sinuiju). This study can suggest return periods for historical major drought events by using derived SDF curves for each station. In the result, drought events in the early and mid 2000`s had return periods of 20~50 years.
Development of Stochastic Downscaling Method for Rainfall Data Using GCM
Kim, Tae-Jeong ; Kwon, Hyun-Han ; Lee, Dong-Ryul ; Yoon, Sun-Kwon ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 825~838
DOI : 10.3741/JKWRA.2014.47.9.825
The stationary Markov chain model has been widely used as a daily rainfall simulation model. A main assumption of the stationary Markov model is that statistical characteristics do not change over time and do not have any trends. In other words, the stationary Markov chain model for daily rainfall simulation essentially can not incorporate any changes in mean or variance into the model. Here we develop a Non-stationary hidden Markov chain model (NHMM) based stochastic downscaling scheme for simulating the daily rainfall sequences, using general circulation models (GCMs) as inputs. It has been acknowledged that GCMs perform well with respect to annual and seasonal variation at large spatial scale and they stand as one of the primary sources for obtaining forecasts. The proposed model is applied to daily rainfall series at three stations in Nakdong watershed. The model showed a better performance in reproducing most of the statistics associated with daily and seasonal rainfall. In particular, the proposed model provided a significant improvement in reproducing the extremes. It was confirmed that the proposed model could be used as a downscaling model for the purpose of generating plausible daily rainfall scenarios if elaborate GCM forecasts can used as a predictor. Also, the proposed NHMM model can be applied to climate change studies if GCM based climate change scenarios are used as inputs.
Applicability of a Space-time Rainfall Downscaling Algorithm Based on Multifractal Framework in Modeling Heavy Rainfall Events in Korean Peninsula
Lee, Dongryul ; Lee, Jinsoo ; Kim, Dongkyun ;
Journal of Korea Water Resources Association, volume 47, issue 9, 2014, Pages 839~852
DOI : 10.3741/JKWRA.2014.47.9.839
This study analyzed the applicability of a rainfall downscaling algorithm in space-time multifractal framework (RDSTMF) in Korean Peninsula. To achieve this purpose, the 8 heavy rainfall events that occurred in Korea during the period between 2008 and 2012 were analyzed using the radar rainfall imagery. The result of the analysis indicated that there is a strong tendency of the multifractality for all 8 heavy rainfall events. Based on the multifractal exponents obtained from the analysis, the parameters of the RDSTMF were obtained and the relationship between the average intensity of the rainfall events and the parameters of the RDSTMF was developed. Based on this relationship, the synthetic space-time rainfall fields were generated using the RDSTMF. Then, the generated synthetic space-time rainfall fields were compared to the observation. The result of the comparison indicated that the RDSTMF can accurately reproduce the multifractal exponents of the observed rainfall field up to 3rd order and the cumulative density function of the observed space-time rainfall field with a reasoable accuracy.