• Journal of Korea Water Resources Association
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• v.38 no.9 s.158
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• pp.791-800
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• 2005

An ILLUDAS-NPS model was developed which is able to compute pollutant loadings and the concentrations of water quality constituents. This model is based on the existing ILLUDAS model, and added for use in the water quality analysis process during dry and rainy periods. For dry period, the specifications of coefficients for discharge and water quality were used. During rainfall, we used the daily pollutant accumulation method and the washoff equation for computing water quality each time. According to the results of verification, the ILLUDAS-NPS model provides generally similar outputs with the measured data on total loadings, peak concentration and time of peak concentration for three rainfall events in the Hong-je Basin. In comparison with the SWMM and STORM models, it was shown that there is little difference between ILLUDAS-NPS and SWMM.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.149-149
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• 2011

기후변화에 따른 영향으로 태풍 및 집중호우가 증가하고 있으며, 산업발달과 인구의 도시집중 현상이 심화됨에 따라 도시지역의 인명 및 재산 피해가 증가되고 있는 시점이다. 도시화로 인한 불투수면적의 증가는 자연유역에 비해 도달시간이 단축되고 첨두유량을 증가시키게 된다. 또한 도시지역에서 대부분의 우수량은 관거(합류식의 경우에는 하수관거)를 통해 배제되기 때문에 관거 용량 이상의 강우에 대해서는 이를 충분히 배제하지 못하여 도시홍수 피해의 가장 큰 원인으로 작용하게 된다. 즉, 도시유역의 배수시스템 능력이 부족할 경우 큰 피해를 가져올 수 있게 된다. 따라서 이러한 특징을 갖는 지역에서는 도시유출모형을 이용한 침수예측과 이에 따른 효과적인 대책 수립이 필요하다. 본 연구에서는 이러한 도시유출모형 중 ILLUDAS 모형을 이용하여 2010년 9월 집중호우로 피해를 입은 굴포천 유역에 대해 내수침수모의를 실행하고 실측침수심도 자료와 비교하여 효과적인 피해 저감방안에 대해 연구하고자 하였다.

• Journal of Korean Society of Water and Wastewater
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• v.18 no.6
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• pp.748-757
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• 2004

In this study, we analyzed the sensitivity of parameters which affect the result of ILLUDAS model, in the various rainfall conditions. The three basins including Namgaja, Kings creek, Gray haven were selected for this research. The rainfall conditions are considered in terms of the rainfall frequency, the duration and the distribution. In most cases, the impermeability area ratio, the sewer slope, and the sewer roughness coefficient give more significant effects on the results than others. The results show that as increasing the rainfall frequency, the sensitivity of the parameters, sewer slope and roughness coefficient are rised, while the impermeability area ratio is decreasing. And also, for the duration of rainfall, the impermeability area ratio's sensitivity shows similar tendency. In case of the rainfall distribution, the parameters of the sewer roughness and the impermeability area ratio show more sensitive in Huff distribution. Especially, The impermeability area ratio is the most sensitive parameter in Central blocking and Yen & Chow distributions respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.482-486
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• 2005

불투수지역의 증가에 따른 도시지역의 비점오염원 해석 및 예측은 수자원 관리측면에서 중요성이 증가하고 있다. 그러나, 실측자료의 부족, 오염물질 발생경로의 불명확, 간헐성, 강우 및 유역특성에 따라 오염부하량 및 첨두농도 등의 변화가 심하므로 인하여 연구에 어려움이 많은 실정이다. 이를 극복하기 위해서는 장기적인 자료수집과 국내실정에 맞는 모형개발이 이루어져야 할 것이다. 따라서, 본 연구에서는 초기강우에 의한 수질항목별 오염부하량 및 농도계산이 가능한 ILLUDAS-NPS 모형을 개발하였다. 본 모형은 국내의 도시지역 유출해석에 주로 사용되는 ILLUDAS 모형에 건기 및 우기시의 수질해석 과정들을 추가하여 해석되어 진다. 건기시의 경우 유량 및 수질 계산은 계수지정법을 사용하였으며, 우기시의 경우 유량계산은 기존 ILLUDAS 모형의 알고리즘을 이용하였고, 수질 계산은 일일 오염물 축적법과 쓸림방정식을 적용하여 계산시간별 오염물질 부하량 및 농도 등을 계산하였다. 모형의 검정을 위하여 홍제천 시험유역의 총 3가지 강우사상을 대상으로 검토한 결과 총부하량, 첨두농도, 첨두농도 발생시간 등에서 전반적으로 실측치와 유사한 결과를 얻을 수 있었다. 또한, ILLUDAS-NPS 모형과 SWMM, STORM 등의 기존 도시유출$\cdot$수질 모형들에 의한 결과들의 비교에서 SWMM 모형과 다소의 차이는 있으나 대부분 잘 일치함을 확인할 수 있었다. 추후, 합리적이고 보다 정확한 비점오염 해석을 위하여 도시지역의 건거시 오염물질의 축적율 및 초기강우에 의한 오염물질 쓸림량 등에 관한 실험 및 현장자료 축적이 필요하다.월이 긴 것으로 나타났다. 이러한 현상은 유입수가 저수지로 유입되면서 초기수위가 높은 경우에 운동량이 상대적으로 많이 소멸되기 때문으로 판단된다. 또한 탁수층의 두께도 8월 성층의 경우가 상대적으로 큰 것으로 나타났다. 이는 중층의 8월 수온분포 또는 밀도분포가 상대적으로 균일하기 때문에 연직방향 이송$\cdot$확산이 많이 이루어졌기 때문으로 판단된다.이는 토성간의 침투속도 및 투수속도의 경향이 반영된 것이다. 경사에 따라서는 경사도가 증가할수록 지수적으로 감소하였으며 $10\% 경사일 때를 기준으로 $I(mm)=I_{10}{\times}1.17{\times}e^{-0.0164s(\%)}$로 나타났다. 같은 조건에서 강우량과 유거수의 관계는 $Ro_{10}(mm)=5.32e^{0.11R(mm)}(r^2=0.69)$로 나타났다. 이는 토양의 투수특성에 따라 강우량 증가에 비례하여 점증하는 침투수와 구분되는 현상이었다. 경사와 토양이 같은 조건에서 나지의 경우 역시 $Ro_{B10}(mm)=20.3e^{0.08R(mm)(r^2=0.84)$로 지수적으로 증가하는 경향을 나타내었다. 유거수량은 토성별로 양토를 1.0으로 기준할 때 사양토가 0.86으로 가장 작았고, 식양토 1.09, 식토 1.15로 평가되어 침투수에 비해 토성별 차이가 크게 나타났다. 이는 토성이 세립질일 수록 유거수의 저항이 작기 때문으로 생각된다. 경사에 따라서는 경사도가 증가할수록 증가하였으며 $10\% 경사일 때를 기준으로 $Ro(mm)=Ro_{10

• Journal of Korea Water Resources Association
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• v.31 no.3
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• pp.253-267
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• 1998

In this study, ILLUDAS and SWMM were applied for Dongsucheon basin, Incheon and Test basin, Cheongju. The main parameters (II, IA, IS, SI, SR, SS) which are included in those of each model depending on runoff results were determined, and sensitivity ratios were estimated in order to evaluate and compare the characteristics of each modEL. Total runoff ratio for almost parameters turned out to have a linear relation to the rainfall durations and the scale of basin area but have nothing to do with rainfall distributions. Sensitivity ratios turned out to have a linear relation for the infiltration and soil parameters of ILLUDAS as well as all parameters of SWMM. ronoff sensitivity ratios for almost parameters were smaller than 1.0 because the impacts of total runoff were bigger than those of peak runoff. And runoff sensitivity ratio was equal to 1.0 for the roughness coefficient of SWMM. Total runoff ratio, peak runoff ratio and runoff sensitivity ratio for the selected parameters of those models were presented asthe tables and figures according to the scale of basin area, rainfall durations such as 60, 120, and 180 minutes and Huff's 4th quartiles rainfall distributions. Keywords : ILLUDAS, SWMM, parameter, sensitivity analysis, sensitivity ratio.

• Magazine of the Korean Society of Agricultural Engineers
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• v.41 no.1
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• pp.39-51
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• 1999

This study has an object to evaluate runoff characteristics with ILLUDAS model and SWMM owing to each rainfall distribution type of Huff's quartile and each rainfall duration time of 30 ,60, 120 and 180 minutes. As a result of this study, Type-Ⅰ Extreme (TIE) rainfall distribution pattern with Huff's 2nd quartile is adequate for Cheju volcanic island . To decide optimal rain fall duration , time of concentration and critical duration should be compared and analyzed each other. In this study, 30 and 120 miniutes were suggeste to iptiaml duration time of A and B study basins. It is concluded that the magnitude of peak runoff discharge is maximum with Huff's 4th quartile, and that of total runoff volume is maximum with Huff's 4th quartile for ILLUDAS model and with Huff's 1st quartile for SWMM. As rainfall duration time increasing is increasing . Also in case of total runoff volume, volumen by SWMM is less than by ILLUDAS model as to variation ratio of total runoff volume in A and B study basin. Therefore, the resulots of this study canb e sued as basic data in determining adequate rainfoal duration time and rainfall distribution type and used for urban drainage systems analysis and design at small urbanization catchment is Cheju volcanic island.

• Journal of Korea Water Resources Association
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• v.31 no.4
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• pp.375-384
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• 1998

In determining design runoff for the design of drainage systems, the concept of critical storm duration is applied. However, rainfall distribution is usually determined without well-defined standards. In this paper, through the application of ILLUDAS model to Sanbon basin, which is a small urbanized watershed, effects of various rainfall distributing types upon the determination of critical storm duration are throughly analyzed. As a result, it is revealed that peak discharge rates as well as critical storm duration are greatly influenced by the applied of rainfall distributions such as uniform, triangular, trapezoid, huff, central type using IDF curve. Keywords : critical storm duration, rainfall distribution, urban runoff, design storm, ILLUDAS.

• Journal of Korea Water Resources Association
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• v.31 no.3
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• pp.243-252
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• 1998

In this study, the new dimensionless values were defined and proposed to determine the parameters of urban runoff models based on the relative sensitivity analysis. Also, the sensitivity characteristics of each parameter were investigate. In order to analyze the parameter sensitivities of each model, total runoff ratio, peak runoff ratio, runoff sensitivity ratio, sensitivity ratio of total runoff, and sensitivity ratio of peak runoff were defined. $$Total\;runoff\;ratio(Q_{TR})\;=\;\frac{Total\;runoff\;of\;corresponding\;step}{Maximum\;total\;runoff}$$$$Peak\;runoff\;ratio(Q_{PR})\;=\;\frac{Peak\;runoff\;of\;corresponding\;step}{Maximum\;peak\;runoff}$$$$Runoff\;sensitivity\;ratio(Q_{SR})\;=\;\frac{Q_{TR}}{Q_{PR}}$$ And for estimation of sensitivity ratios based on the scale of basin area, rainfall distributions and rainfall durations in ILLUDAS & SWMM, the reasonable ranges of parameters were proposed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.13 no.5
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• pp.135-146
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• 1993

The purpose of this study is to propose a method of computing urban runoff from urban drainage areas in Korea. Four different methods are studied and applied to two detention basins in Seoul: Wheekyeong and Yongdoo detention basins. The computation of runoff from the two basins was carried out for 10 historical storms, and the results computed by each method were compared with those observed. As the standards for comparision, peak discharges. total runoff volumes and the shapes of hydrographs are selected. The present research concludes that Rational formula and KPRRL can be used only for computing peak discharges in small urban areas and ILLUDAS shows the fair accuracy compared to the observed. ILLUDAS was selected as the best fit model to be applied to the Korean urban areas, since it showed more accurate results under the different types of storms.

• Journal of Korean Society of Water and Wastewater
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• v.12 no.3
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• pp.91-98
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• 1998

In this study, the hydrological changes due to urbanization were investigated and fundamental theory and characteristics of typical urban runoff model such as ILLUDAS was studied. Above model was applied for urbanizing Dongsucheon basin, Incheon. The main parameters (II, IA, IS) which are included in model depending on runoff results were determined, and dimensionless values such as total runoff ratio($Q_{TR}$), peak runoff ratio($Q_{PR}$), and runoff sensitivity ratio ($Q_{SR}=Q_{TR}/Q_{PR}$) were estimated in order to evaluate and compare the characteristics of model based on relative sensitivity analysis.