• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.311-316
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• 2017

기후변화는 물 관리 측면에서 많은 변화를 일으키는 것으로 보고되고 있다. 주로 강우의 패턴을 변화시키며, 가용수자원의 지역적 편중을 심화시킨다. 기후변화에 적응하며 안정적이고 균등한 용수확보를 위해서는 홍수와 가뭄을 고려한 연속적인 물 순환 해석기술이 필요하다. 강우유출분석은 강우사상에 대한 수문순환과정을 통해 유출량을 산출하는 것으로, 주로 직접유출과 중간유출이 이에 해당된다. 강우발생 이후 무강우기간에 대해서는 기저시간 이후에 발생되는 유출량의 정량적 산출이 필요하다. 기저유출은 강우 발생 시점에 급격히 발생하기보다는 선행강우에 따른 유역 내 지하수위 분포와 대수층의 특성, 하천수위에 따라 다양한 패턴으로 나타나기 때문에 지하수대의 수리학적 성분들을 반영할 수 있어야 한다. 이를 위해서는 강우유출모의 시 지표유출량 산정과 지하수유동해석을 통한 기저유출량 산정이 동시에 이루어져야 한다. 최근 국내외에서는 다양한 형태의 수문모형과 MODFLOW를 연계한 장기유출분석에 대한 연구가 활발하게 진행되고 있다. 본 연구에서 활용한 K-DRUM(K-water Distribution Runoff Model)은 K-water에서 자체 개발한 물리적 기반의 분포형 강우유출모형으로 강우유출, 유사, 기초수질항목에 대한 3차원 분석이 가능하다. 본 모형의 A층(표층)은 지표유출을 고려한 운동파법이 적용되었고, B층과 C층(중간층), D층(지하수층)은 선형저류법이 적용되었다. MODFLOW(A Modular Three-Dimensional Finite-Difference Ground Water Flow Model)는 1980년대 USGS(United State Geolog ical Survey)에서 개발된 가장 범용적으로 사용되는 지하수유동모형이며, 모듈화 된 구조를 갖고 있어 다양한 패키지 중 필요로 하는 기능을 독립적으로 모의할 수 있는 장점이 있다. 본 연구에서는 향후 기후변화에 따른 강우의 불확실성에 대비한 유역의 장기 물순환 해석을 위해 강우유출모형인 K-DRUM과 지하수유동모형인 MODFLOW를 연계하고자한다. 연계방법은 K-DRUM에서 계산된 D층으로 침루되는 양을 MODFLOW의 함양량으로 적용하고, MODFLOW에서 산출된 기저유량을 K-DRUM의 하천유출에 적용하는 것이다. 본 연구의 성과를 갈수기 유출해석에 적용하면 정확성을 크게 향상시킬 수 있을 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.919-923
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• 2012

본 연구에서는 K-water에서 자체 개발한 물리적 기반의 격자단위 강우-유출모형(K-DRUM ; K-water Distributed rainfall RUnoff Model)을 일 단위 장기유출 분석에 활용하기 위해서 유역의 증발산량 산정 및 융 적설 등을 모의할 수 있는 기능을 추가로 개발하였고, 재현성 분석을 위하여 남강댐 유역을 대상으로 장기유출모의를 수행하였다. 모의결과 단기 홍수사상의 경우 유출량에서 증발산 효과가 크지 않지만 연간 전체 유출량을 비교할 경우에는 상당한 차이가 발생하는 것을 확인할 수 있었다. 결과적으로 본 연구를 통해 개선된 K-DRUM 모형은 단기 홍수유출 뿐만 아니라 융 적설을 고려한 장기유출 분석에도 활용이 가능할 것으로 판단된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6B
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• pp.355-361
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• 2012

Gwangdong Dam Watershed is affected by the increased discharge caused by the melting snow in the spring season. Therefore, simulation results obtained using hydrologic models have generally been inaccurate in relation to discharge without snow pack and melt modules. In this research, a grid based distributed rainfall runoff model (K-DRUM) was developed using a snow pack and melt module, and has been applied in the Gwangdong Dam Watershed to simulate the discharge for a four year period. A previous version of K-DRUM, which does not include a snow pack or melt module, was used to calculate the discharge in order to compare the snow melt effect. The simulation period lasted about 7 months from October of the previous year to April of this year using hourly precipitation and weather observed data. To evaluate the model performance, NSE, PBIAS and RSR statistics techniques were applied using the simulation results of the discharge. From the results of reliability evaluation, the K-DRUM model, which uses a snow pack and melt module, had a good applicability for the runoff simulation considering the snow melt effect in the spring.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.2
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• pp.71-79
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• 2009

In this study, a distributed rainfall-runoff model, K-DRUM, based on physical kinematic wave was developed to simulate temporal and spatial distribution of flood discharge considering grid rainfall and grid based GIS hydrological parameters. The developed model can simulate temporal and spatial distribution of surface flow and sub-surface flow during flood period, and input parameters of ASCII format as pre-process can be extracted using ArcView. Output results of ASCII format as post-process can be created to express distribution of discharge in the watershed using GIS and express discharge as animation using TecPlot. an auto calibration method for initial soil moisture conditions that have an effect on discharge in the physics based K-DRUM was additionally developed. The baseflow for Namgang Dam Watershed was analysed to review the applicability of the developed auto calibration method. The accuracy of discharge analysis for application of the method was evaluated using RMSE and NRMSE. Problems in running time and inaccuracy setting using the existing trial and error method were solved by applying an auto calibration method in setting initial soil moisture conditions of K-DRUM.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.21-30
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• 2010

In this paper, the parallel distributed rainfall runoff model(K-DRUM) using MPI(Message Passing Interface) technique was developed to solve the problem of calculation time as it is one of the demerits of the distributed model for performing physical and complicated numerical calculations for large scale watersheds. The K-DRUM model which is based on GIS can simulate temporal and spatial distribution of surface flow and sub-surface flow during flood period, and input parameters of ASCII format as pre-process can be extracted using ArcView. The comparison studies were performed with various domain divisions in Namgang Dam watershed in case of typoon 'Ewiniar' at 2006. The numerical simulation using the cluster system was performed to check a parallelization effectiveness increasing the domain divisions from 1 to 25. As a result, the computer memory size reduced and the calculation time was decreased with increase of divided domains. And also, the tool was suggested in order to decreasing the discharge error on each domain connections. The result shows that the calculation and communication times in each domain have to repeats three times at each time steps in order to minimization of discharge error.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.472-472
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• 2023

In this study, the transport of pollutants was analyzed using the K-River and K-DRUM coupling model for water pollution accidents that occurred in the Nakdong River water system. In Korea, the necessity of a distribution model that accommodates the water circulation process and the importance of nonpoint pollution sources were emphasized in water quality management after the introduction of the total amount of water pollution. Therefore, in order to reflect the runoff characteristics of nonpoint sources, the K-DRUM distribution model, which can analyze pollution in the basin, was used. And the reproducibility of the model was improved by applying the operating rules of dams operating in the Nakdong River system. In addition, in order to analyze the movement of pollutants in the river, only the advection part of the advection-dispersion equation was applied to the 1D hydraulic model K-River to perform pollutant tracking. As a result of water pollution analysis, the peak concentration of the pollutant was underestimated, but the arrival time and the trend of the overall pollutant concentration were well reproduced.

• Journal of Satellite, Information and Communications
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• v.12 no.3
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• pp.22-34
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• 2017

The K-DRUM(K-water hydrologic & hydraulic Distributed RUnoff Model), a distributed rainfall-runoff model of K-water, calculates predicted runoff and water surface level of a dam using precipitation data. In order to obtain long-term hydrometeorological information, K-DRUM requires long-term weather forecast. In this study, we built a system providing long-term hydrometeorological information using predicted rainfall ensemble of GloSea5(Global Seasonal Forecast System version 5), which is the seasonal meteorological forecasting system of KMA introduced in 2014. This system produces K-DRUM input data by automatic pre-processing and bias-correcting GloSea5 data, then derives long-term inflow predictions via K-DRUM. Web-based UI was developed for users to monitor the hydrometeorological information such as rainfall, runoff, and water surface level of dams. Through this UI, users can also test various dam management scenarios by adjusting discharge amount for decision-making.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2237-2244
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• 2013

In this study, physics based K-DRUM(K-water Distributed RUnoff Model) using GIS spatial hydrologic data as input data was developed to account for the temperature variation according to the altitude change considering snow melt and cover. The model was applied for Pakistan Kunhar River Basin($2,500km^2$) to calculate long-term discharge considering snow melt and cover. Time series analysis of the temperature and rainfall data reveals that temperature and rainfall of the river basin differs significantly according to altitude change compared to domestic basin. Thus, applying temperature and altitude lapse rate during generate input data generation. As a result, calculated discharge shows good agreement with observed ones considering snow melt and accumulation characteristic which has the difference of 4,000 meter elevation above sea level. In addition, the simulated discharge strongly showed snow melting effect associated with temperature rise during the summer season.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.145-151
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• 2009

Recently, the rapid development of GIS technology has made it possible to handle a various data associated with spatially hydrological parameters with their attribute information. Therefore, there has been a shift in focus from lumped runoff models to distributed runoff models, as the latter can consider temporal and spatial variations of discharge. This research is to evaluate the feasibility of GIS based distributed model using radar rainfall which can express temporal and spatial distribution in actual dam watershed during flood runoff period. K-DRUM (K-water hydrologic & hydaulic Distributed flood RUnoff Model) which was developed to calculate flood discharge connected to radar rainfall based on long-term runoff model developed by Kyoto- University DPRI (Disaster Prevention Research Institute), and Yondam-Dam watershed ($930km^2$) was applied as study site. Distributed rainfall according to grid resolution was generated by using preprocess program of radar rainfall, from JIN radar. Also, GIS hydrological parameters were extracted from basic GIS data such as DEM, land cover and soil map, and used as input data of distributed model (K-DRUM). Results of this research can provide a base for building of real-time short-term rainfall runoff forecast system according to flash flood in near future.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.11-20
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• 2010

The distributed rainfall-runoff model which is developed in the country requires a lot of time and effort to generate input data. Also, it takes a lot of time to calculate discharge by numerical analysis based on kinematic wave theory in runoff process. Therefore, most river basins using the distributed model are of limited scale, such as small river basins. However, recently, the necessity of integrated watershed management has been increasing due to change of watershed management concept and discharge calculation of whole river basin, including upstream and downstream of dam. Thus, in this study, the feasibility of the GIS based physical distributed rainfall-runoff model, K-DRUM(K-water hydrologic & hydraulic Distributed RUnoff Model) which has been developed by own technology was reviewed in the flood discharge process for the Geum River basin, including Yongdam and Daecheong Dam Watersheds. GIS hydrological parameters were extracted from basic GIS data such as DEM, land cover and soil map, and used as input data of the model. Problems in running time and inaccuracy setting using the existing trial and error method were solved by applying an auto calibration method in setting initial soil moisture conditions. The accuracy of discharge analysis for application of the method was evaluated using VER, QER and Total Error in case of the typhoon 'Ewiniar' event. and the calculation results shows a good agreement with observed data.