• 한국농공학회논문집
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• 제56권4호
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• pp.9-19
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• 2014

The objective of this study was to evaluate of the Tank model in simulating runoff discharge from rural watershed in comparison to the SWAT (Soil and Water Assessment Tool) model. The model parameters of SWAT was calibrated by the shuffled complex evolution-university Arizona (SCE-UA) method while Tank model was calibrated by genetic algorithm (GA) and validated. Four dam watersheds were selected as the study areas. Hydrological data of the Water Management Information System (WAMIS) and geological data were used as an input data for the model simulation. Runoff data were used for the model calibration and validation. The determination coefficient ($R^2$), root mean square error (RMSE), Nash-Sutcliffe efficiency index (NSE) were used to evaluate the model performances. The result indicated that both SWAT model and Tank model simulated runoff reasonably during calibration and validation period. For annual runoff, the Tank model tended to overestimate, especially for small runoff (< 0.2 mm) whereas SWAT model underestimate runoff as compared to observed data. The statistics indicated that the Tank model simulated runoff more accurately than the SWAT model. Therefore the Tank model could be a good tool for runoff simulation considering its ease of use.

• 환경영향평가
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• 제21권1호
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• pp.161-169
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• 2012

Recently various attempts have been made to apply HSPF model to calculate runoff and diffuse pollution loads of stream and reservoir watersheds. Because the role of standard flow is very important in the water quality modelling of Total Water Pollution Load Management, HSPF was used as a means of estimating standard flow. In this study, BASINS 4.0 and WinHSPF was applied to the Gomakwoncheon watershed, genetic algorithm(GA) and influence coefficient algorithm were used to calibrate the runoff parameters of the WinHSPF. The objective function is the sum of the squares of the normalized residuals of the observed and calculated flow and it is optimized using GA. Estimates of the optimum runoff parameters are made at each iteration of the influence coefficient algorithm. The calibration results showed a relatively good correspondence between the observed and the calculated values. The standard flow(Q275) of the Gomakwoncheon watershed was estimated using the ten years of weather data.

• 상하수도학회지
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• 제23권2호
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• pp.181-187
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• 2009

In this study, a runoff hydrograph and runoff volume were calculated by using the kinetic wave theory for small urban watersheds based on the concept of low impact development(LID), and the effective imperviousness was estimated based on these calculations. The degree of sensitivity of the effective imperviousness of small watersheds to the impervious to pervious area ratio, infiltration capability, watershed slope, roughness coefficient and surface storage depth was then analyzed. From this analysis, the following conclusions were obtained: The effective imperviousness and paved area reduction factor decreased as the infiltration capability of pervious area increased. As the slope of watersheds becomes sharper, the effective imperviousness and the paved area reduction factor display an increasing trend. As the roughness coefficient of impervious areas increases, the effective imperviousness and the paved area reduction factor tend to increase. As the storage depth increases, the effective imperviousness and the paved area reduction factor show an upward trend, but the increase is minimal. Under the conditions of this study, it was found that the effective imperviousness is most sensitive to watershed slope, followed by infiltration capability and roughness coefficient, which affect the sensitivity of the effective imperviousness at a similar level, and the storage depth was found to have little influence on the effective imperviousness.

• 한국수자원학회논문집
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• 제44권7호
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• pp.553-563
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• 2011

분포형 유출모형에 대하여는 컴퓨터의 발달과 지리정보시스템의 구축 및 관련정보의 제공이 활성화되면서 최근 많은 연구가 진행되고 있다. 이러한 분포형 유출모형은 대상유역을 보다 세분 요소화하여 계산하는 이론적이고 물리적인 기반의 모형이다. 본 연구에서는 토지피복 상태에 따라 결정되는 매개변수와 2차원 확산파 방정식에 기초하여 지표면에서의 유출량을 계산하는 모형을 개발하였다. 기존에 연구되었거나 개발 중인 유출모형은 대부분 Manning-Strickler의 평균 유속공식과 Manning 조도계수를 이용하여 유속과 유량을 산정하고 있다. Manning 조도계수는 사용상의 편의성 때문에 보편적으로 사용하고 있으나, 차원이 일치하지 않고 추정 시 모호한 문제점이 있다. 이러한 문제를 개선하기 위해 본 연구에서는 Manning-Strickler식뿐만 아니라 차원이 일치하는 Chezy의 평균유속공식을 적용하여 유출모형을 개발하였다. 또한, Chezy의 마찰계수를 적용하기 위하여 조고의 함수로 표현되는 지수형 마찰계수 산정식을 도입하였다. 따라서 모호한 조도계수의 개념을이용하지 않고 거친 정도를수치화하여 물리적인 의미를 가진마찰계수를 산정하고 적용 가능성을 검토하였다. 본 연구에서는 개발된 모형을 부채꼴 실험유역과 장방형 실험유역 및 실제유역인 안성천유역을 대상으로 6개의 사상을 적용하여 그 적용성을 확인하였다.

• 한국농공학회지
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• 제22권3호
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

• 한국환경과학회지
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• 제2권3호
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• pp.193-199
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• 1993

This study has two objectives. One is developing the runoff model for Hoe-Dong Reservoir basin located at the upstream of Su-Young River in Pusan. To develop the runoff model, basic hydrological parameters - curve number to find effective rainfall, and storage coefficient, etc. - should be estimated. In this study, the effective rainfall was calculated by the SCS method, and the storage coefficient used in the Clark watershed routing was cited from the report of P.E.B. The other is the derivation of transfer function for Hoe-Dong Reservoir basin. The linear, discrete, input-output model which contained six parameters was selected, and the parameters were estimated by the least square method and the correlation function method, respectively. Throughout this study, rainfall and flood discharge data were based on the field observation in 1981.8.22 - 8.23 (typhoon Gladys). It was observed that the Clark watershed routing regenerated the flood hydrograph of typhoon Gladys very well, and this fact showed that the estimated hydrological parameters were relatively correct. Also, the calculated hydrograph by the linear, discrete, input-output model showed good agreement with the regenerated hydrograph at Hoe-Dong Dam site, so this model can be applicable to other small urban areas. Key Words : runoff, effective rainfall, SCS method, clark watershed iou상ng, hydrological parameters, parameter estimation, least square method, correlation function method, input-output model, typhoon gladys.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2004년도 학술발표회
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• pp.204-208
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• 2004

In the forthcoming 21C, the barometer of cultural lives depends on that the water demand will increase or not. On the opposite site of that, the small watersheds will influence directly on how to cover the surface of watersheds with land use, no planning developing watersheds, and the rearrangement of small rivers. Espacially as the exordinary climatic phenomena, water resources and water content of the small watersheds will be confused oil exactly not to make a plan of water resources. This study area has four small watersheds groups in Gangwon-Do Province, that is, group I five small river watersheds including Changchoncheon etc., group II fiver rivers watersheds including to Hwalsanmogicheon etc., group III five small river watersheds including Singicheon etc., group IV including to Sabulanggolcheon etc. According to the land use such as dry field(or farm), ice field, forest land, building lot arid others, in small watersheds, the amount of runoff will be impacted by precipitation. The comparison between the runoff was getting from Kajiyama Formular and calculated runoff from multi-linear regressed equations by land use percentage was performed. Its correlation which was estimated by coefficient of correlation will be accepted or not, as approched 1.00000 values. As the monthly water resources amount is estimated by multi-linear regressed equations, we make a plan to demand and supply the water quantity from small river watersheds during any return periods.

• 물과 미래
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• 제19권4호
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• pp.347-354
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• 1986

강우와 유역특성으로부터 홍수유출을 예측하기 위해서 Nash 모델의 매개변수 N, K가 결정될 필요가 있다. 또한 순간단위도의 매개변수 N,K가 적율법에 의해서 유도되어야 한다. 강우특성으로부터 유도되는 Nash 모델의 매개변수는 낙동강에 위치한 위천유역에 적용하였다. 선형이론에 의한 순간단위도의 유도에 있어서 강우특성으로서 저장상수 K는 매우 높은 상관계수 0.97을 가진 K=1.327 $·$·$·$·$·$을 채택하였다. 이와 같은 강우특성으로서 Gamma 함수 N는 매우 높은 상관계수인 0.97로서 N=0.032$·$·$·$·$·$으로 나타났다. 검정결과 Nash 모델의 순간단위도와 이로 인한 홍수유출은 강우특성으로부터 예측될 수 있음이 입증되었다.

• 한국환경과학회지
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• 제27권10호
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• pp.845-851
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• 2018

In this study, the runoff characteristics of the non-rainfall period were examined using daily rainfall data from 1977 to 2017 and the data of runoff into the dam. Results showed that, the mean runoff decreases with longer non-rainfall periods in the Andong dam basin. The correlation coefficient between non-rainfall days and average runoff reaches 0.85. The results of the analysis of the runoff characteristics during the non-rainfall period, based on the preceding rainfall of Andong dam are as follows. The runoff characteristics of the entire non-rainfall period, shows that, for a rainfall of 1.0 mm or less, the runoff height was larger than the rainfall size and the base runoff larger. The correlation between the antecedent rainfall and runoff height was reached as high as 0.9864 in the 30 ~ 50 mm interval of the antecedent rainfall period, and this is the interval where the linearity of rainfall and runoff was at its maximum in the Andong dam basin. The correlation between the antecedent rainfall and the runoff height reached 0.92 for rainfalls of 100.0 mm. However, for rainfalls of 100.0 mm greater, the correlation between the antecedent rainfall and runoff height during the rainfall period was 0.64, which is relatively small. In this study, we investigated the runoff characteristics of the rainfall period in the Andong dam watershed. As a result, it was confirmed that the mean runoff decreased with rainfall duration. The linearity was found to be weak for rainfall events greater than 100.0 mm. The results of this study can be used as data for water balance analysis and for formulating a water supply plan to establish water resource management of Andong dam.

• 한국수자원학회논문집
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• 제52권9호
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• pp.615-626
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• 2019

토양수분과 유출은 매우 밀접한 관계를 가지고 있으며, 특히 토양 내의 여러 요소들에 의해 토양의 수분보유능력과 배수의 특성이 결정된다. 본 연구에서는 2016년, 2017년 설마천 유역에서 총 40개의 사상을 분리하였다. 선정한 사상별로 constant-K 방법을 적용하여 직접유출과 기저유출을 분리하고 유출계수를 산정하였다. 산정된 유출계수는 선행토양함수와 지수함수 형태의 증가를 보였다. 또한 유출계수가 급증하기 시작하는 토양수분의 임계값을 선정하였으며, 이 값은 유출과 지하수면과의 큰 상관관계를 나타내었다. 선행토양함수뿐만 아니라 초기 토양수분, 토양 저류량, 강우량 등 여러 인자들도 유출 결과에 영향을 미치는 것으로 분석되었다. 또한 선행토양수분의 임계값에 따라 강우사상을 건조, 습윤 상태로 분리하여 시작 반응과 첨두 반응을 분석해 보았으며, 습윤 상태에서의 반응이 건조 상태에서 보다 빠르게 발생하였다. 건조 상태에 속하는 대부분의 사상에서는 토양수분이 정점에 도달한 후 지하수면과 유출량 순으로 정점에 도달하는 첨두 반응이 일어났으나 습윤 상태에서는 반대로 지하수면과 유출량이 토양수분보다 먼저 정점에 도달하였다. 본 연구의 결과는 유출에 기여하는 인자들 사이의 상호작용을 확인하고 토양의 다양한 조건과 유출 사이의 관계를 규명하는 데에 크게 기여할 것으로 판단된다.