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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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Korea Water Resources Association
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Volume & Issues
Volume 42, Issue 12 - Dec 2009
Volume 42, Issue 11 - Nov 2009
Volume 42, Issue 10 - Oct 2009
Volume 42, Issue 9 - Sep 2009
Volume 42, Issue 8 - Aug 2009
Volume 42, Issue 7 - Jul 2009
Volume 42, Issue 6 - Jun 2009
Volume 42, Issue 5 - May 2009
Volume 42, Issue 4 - Apr 2009
Volume 42, Issue 3 - Mar 2009
Volume 42, Issue 2 - Feb 2009
Volume 42, Issue 1 - Jan 2009
Selecting the target year
Hierarchical Clustering Analysis of Water Main Leak Location Data
Park, Su-Wan ; Im, Gwang-Chae ; Choi, Chang-Lok ; Kim, Kyu-Lee ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 177~190
DOI : 10.3741/JKWRA.2009.42.3.177
Rehabilitation projects for old water mains typically require considerable capital investments. One of the economical ways of pursuing the rehabilitation projects is to focus on a specific area within the entire region under management. In this paper the hierarchical clustering methods that analyze spatial inter-relationship of location data are applied to about 8,000 water leak location data recorded in a case study area from 1992 to 1997. Among the hierarchical clustering methods Single, Complete, and Average Linkage Methods are used to identify clusters of the water leak locations and to divide the area according to the defined clusters. By comparing the clusters identified by the clustering methods, the best clustering method for the case study area is suggested. Prioritization of the area for maintenance is obtained based on the water leak incident intensity for the clustered area using the suggested best clustering method.
Estimation of Daily Sewage and Direct Runoff for the Combined Sewer System of Gunja Experimental Drainage
Kim, Chung-Soo ; Han, Myoung-Sun ; Kim, Hyoung-Seop ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 191~200
DOI : 10.3741/JKWRA.2009.42.3.191
A localized torrential rainfall and flash floods which are more frequently occurred by extraordinary atmospheric phenomena and rising sea surface temperature require more hydrological data collecting and analysis for small watershed. Urban watershed hydrological data monitoring system is needed because of big flood potential damage and lack of urban watershed hydrological data. Therefore, Urban Flood Disaster Management Research Center operates small experimental catchments(Sinnae1, Gunja, and Children's Park) observing and analyzing hydrological data(rainfall, stage, and discharge). In this study, the discharge of combined sewage for Gunja experimental drainage is analyzed with weekly data and day of the week data. Through several analyses in analyzing the urban runoff characteristics and managing the urban sewage system, direct runoff is calibrated and verified by the estimated values of rainfall-runoff model(SWMM).
Development of Combination Runoff Model Applied by Genetic Algorithm
Shim, Seok-Ku ; Koo, Bo-Young ; Ahn, Tae-Jin ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 201~212
DOI : 10.3741/JKWRA.2009.42.3.201
The Tank model and the PRMS(Precipitation Runoff Modeling-modular System) model have been adopted to simulate runoff data from 1981 to 2001 year in the Seomgin-dam basin. However, the simulated runoff by each single model showed some deviations compared with the observed runoff, respectively. In this study a genetic algorithm combination runoff model has been proposed to minimize deviations between simulated runoff and observed runoff that should yield from single model such as Tank model or PRMS model. The proposed combination runoff model combining the simulated respective output of the Tank model and the PRMS model is to produce the optimum combination ratio of each single model applying to the genetic algorithm which may yield the minimum deviations between simulated runoff and observed one. The proposed combination runoff model has been applied to the Seomgin-dam basin. It has also been shown that the combination model by introducing optimal combination ratio should yield less deviations than single model such as the Tank model or the PRMS model.
Development of Statistical Downscaling Model Using Nonstationary Markov Chain
Kwon, Hyun-Han ; Kim, Byung-Sik ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 213~225
DOI : 10.3741/JKWRA.2009.42.3.213
A stationary Markov chain model is a stochastic process with the Markov property. Having the Markov property means that, given the present state, future states are independent of the past states. The Markov chain model has been widely used for water resources design as a main tool. A main assumption of the stationary Markov model is that statistical properties remain the same for all times. Hence, the stationary Markov chain model basically can not consider the changes of mean or variance. In this regard, a primary objective of this study is to develop a model which is able to make use of exogenous variables. The regression based link functions are employed to dynamically update model parameters given the exogenous variables, and the model parameters are estimated by canonical correlation analysis. The proposed model is applied to daily rainfall series at Seoul station having 46 years data from 1961 to 2006. The model shows a capability to reproduce daily and seasonal characteristics simultaneously. Therefore, the proposed model can be used as a short or mid-term prediction tool if elaborate GCM forecasts are used as a predictor. Also, the nonstationary Markov chain model can be applied to climate change studies if GCM based climate change scenarios are provided as inputs.
Cross Correlations between Probability Weighted Moments at Each Sites Using Monte Carlo Simulation
Shin, Hong-Joon ; Jung, Young-Hun ; Heo, Jun-Haeng ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 227~234
DOI : 10.3741/JKWRA.2009.42.3.227
In this study, cross correlations among sample data at each site are calculated to obtain the asymptotic cross correlations among probability weighted moments at each site using Monte Carlo simulation. As a result, the relations between the asymptotic cross correlations among probability weighted moments and the inter-site dependence among sample data at each site are nearly a linear relation with slope 1. The smaller ratio of concurrent data size to entire sample size is, the weaker the relationship grows. Simple power function which the correction term in power function accounts for the differences of the sample size between two sites was fitted to each case to estimate the parameter. It is noted that this result can be used in the various researches which include the estimation of the variance of quantile considering cross correlations.
A Theoretical Review of Basin Storage Coefficient and Concentration Time Using the Nash Model
Yoo, Chul-Sang ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 235~246
DOI : 10.3741/JKWRA.2009.42.3.235
This study theoretically reviews the basin storage coefficient and concentration time using the Nash model, a simple unit hydrograph theory. First, the storage coefficient and concentration time of Nash instantaneous unit hydrograph (IUH) are derived based on their definitions, whose characteristics as well as their relationship are also reviewed. Additionally, several empirical equations of storage coefficient and concentration time commonly used in Korea are evaluated by comparing them with those for the Nash IUH. Major results of this study are summarized as follows. (1) The concentration time of Nash IUH is approximately linearly proportional to the number of linear reservoirs, but the storage coefficient non-linearly to the square root. That is, if increasing the number of linear reservoirs by four times, the concentration time becomes also increased by about four times, but the storage coefficient only about two times. This result has a special meaning to understand the effect of basin subdivision on the concentration time and storage coefficient. (2) The storage coefficient and concentration time of Nash IUH are not independent each other, so their independent estimation does not make any physical sense. As the concentration time among the two is more sensitive to the number of linear reservoirs, which should be estimated first, then the storage coefficient considering the concentration time estimated. (3) Empirical equations of concentration time can be divided into two groups, one following the linear channel theory and the other not, whose equation forms are also found to be very similar. This result indicates that the characteristic factors dominating the concentration time are very similar, indicating the possibility of its regionalization over a basin with consistent equation forms. (4) Those for storage coefficient like the Russell formulae are found to consider the physical characteristics of a basin, so their unreasonable applications could sufficiently be excluded.
Development of Distributed Rainfall-Runoff Model Using Multi-Directional Flow Allocation and Real-Time Updating Algorithm (I) - Theory -
Kim, Keuk-Soo ; Han, Kun-Yeun ; Kim, Gwang-Seob ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 247~257
DOI : 10.3741/JKWRA.2009.42.3.247
In this study, a distributed rainfall-runoff model is developed using a multi-directional flow allocation algorithm and the real-time runoff updating algorithm. The developed model consists of relatively simple governing equations of hydrologic processes in order to apply developed algorithms and to enhance the efficiency of computational time which is drawback of distributed model application. The variability of topographic characteristics and flow direction according to various spatial resolution were analyzed using DEM(Digital Elevation Model) data. As a preliminary process using fine resolution DEM data, a multi-directional flow allocation algorithm was developed to maintain detail flow information in distributed rainfall-runoff simulation which has strong advantage in computation efficiency and accuracy. Also, a real-time updating algorithm was developed to update current watershed condition. The developed model is able to hold the information of actual behavior of runoff process in low resolution simulation. Therefore it is expected the improvement of forecasting accuracy and computational efficiency.
Development of Distributed Rainfall-Runoff Model Using Multi-Directional Flow Allocation and Real-Time Updating Algorithm (II) - Application -
Kim, Keuk-Soo ; Han, Kun-Yeun ; Kim, Gwang-Seob ;
Journal of Korea Water Resources Association, volume 42, issue 3, 2009, Pages 259~270
DOI : 10.3741/JKWRA.2009.42.3.259
The applicability of the developed distributed rainfall runoff model using a multi-directional flow allocation algorithm and a real-time updating algorithm was evaluated. The rainfall runoff processes were simulated for the events of the Andong dam basin and the Namgang dam basin using raingauge network data and weather radar rainfall data, respectively. Model parameters of the basins were estimated using previous storm event then those parameters were applied to a current storm event. The physical propriety of the multi-directional flow allocation algorithm for flow routing was validated by presenting the result of flow grouping for the Andong dam basin. Results demonstrated that the developed model has efficiency of simulation time with maintaining accuracy by applying the multi-directional flow allocation algorithm and it can obtain more accurate results by applying the real-time updating algorithm. In this study, we demonstrated the applicability of a distributed rainfall runoff model for the advanced basin-wide flood management.