• 한국농공학회논문집
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• 제48권1호
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• pp.27-38
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• 2006

In this study, we developed a program to estimate discharge efficiently considering major hydraulic characteristic including water level, river bed, water slope and roughness coefficient in a natural river. Stream discharge was measured at Gongju gauge station located in the down stream of the Daechung Dam during normal and dry seasons from 2003 to 2004. The developed model was compared with the results from the existing rating curve at T/M gage stations, and was used for runoff analyses. Evaluating the developed river discharge estimation program, it was applied during 1983-2004 that base flow separation method and RRFS (Rainfall Runoff Forecasting System) which is based on SSARR (Streamflow Synthesis And Resevoir Regulation). The result presents the stage-discharge curve creator range at the Gong-ju is overestimated by approximately $10-20\%$, especially at the low stage. It is attributed to the hydraulic characteristics at the study. The discharge simulated by the RRFS and base flow separation, which is calibrated using the measurement at the early spring and late fall season during relatively d]v season, shows the least errors. The coefficient of roughness at Gongju station varied with the high and low water level.

• 한국산림과학회지
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• 제103권3호
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• pp.383-391
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• 2014

본 연구는 주지하수 감수곡선을 이용하여 산림소유역의 유출특성을 밝히기 위하여 수행하였다. 2003년부터 2011년까지 9년간 관측한 강우-유출량 자료를 이용하여 수문곡선 감수부의 시계열 변화를 분석하였다. 그 결과 산림소유역에서는 직접유출 감수계수가 기저유출의 감수계수 값보다 작았다. 또한 산림소유역에서의 직접유출량은 대유역에 비해 상당히 적은 양을 보였으며, 기저유출량은 차이가 크지 않았다. 시험유역에서 주지하수 감수곡선의 회귀식과 감수계수는 각각 $y=0.7528e^{-0.022x}$($R^2=0.8938$, 범위는 0.3 mm~0.8 mm), K = 0.978로 산출되었다. 주지하수 감수곡선과 연유출량과는 관련성이 큰 것으로 나타났는데, 유출량이 많으면 주지하수 감수곡선의 기울기가 완만해지고, 유출량이 줄어들면 감수곡선의 기울기가 급해지는 것으로 나타났다. 또한 해를 거듭할수록 주지하수 감수곡선의 기 울기가 완만해지는 경향이 나타나, 점차 기저유출량이 증가하는 것으로 판단하였다. 따라서 시험유역에서는 시간의 경과와 함께 산림의 홍수조절기능 및 수원함양기능이 점진적으로 높아지는 것으로 나타났다.

• 한국수자원학회논문집
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• 제36권2호
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• pp.211-221
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• 2003

본 연구에서는 Clark 방법으로 유역유출해석을 수행할 때 요구되는 시간-면적곡선을 GIS 기법을 이용하여 객관적으로 산정할 수 있는 방법을 제안하고, 이와같은 시간-면적곡선이 유출해석에 미치는 영향을 검토하는데 있다. Clark 방법의 세 매개변수인 시간-면적곡선, 저류상수 및 도달시간의 상대적인 비교를 위해 1990. 9. 10 ∼ 9. 14 홍수사상을 선택하여 소양댐 및 충주댐 유역에 대해 유량의 민감도 분석을 수행하였다. 본 연구에서는 특정유역의 시간-면적곡선 산정이 여의치 않을 경우 사용 가능한 HEC-1에서 제공되는 무차원 시간-면적곡선의 영향도 분석하였다. 본 연구에서 얻은 주요 결과를 요약하면 다음과 같다. 시간-면적곡선의 경우 본 연구에서 제안된 GIS를 이용하여 산정된 시간-면적곡선을 사용한 경우와 HEC-1 무차원 식을 이용하여 유출해석을 수행한 경우를 비교한 결과 유출해석 결과에는 뚜렷한 차이를 보이지 않았다. 또한, Clark 방법에서 시간-면적곡선 이외의 매개변수인 도달시간과 저류상수의 변화가 유출량 산정에 미치는 영향을 분석한 결과 두 값 모두 첨두홍수량의 크기와 발생시간에 크게 영향을 미치는 것으로 나타났다. 따라서 Clark 방법을 이용하여 유역 유출량을 산정할 경우 시간-면적곡선 산정보다 도달시간 및 저류상수 산정에 특히 주의가 필요한 것으로 판단된다.

• 한국산림과학회지
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• 제109권4호
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• pp.429-437
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• 2020

본 연구는 산림 소유역에서 강우량에 대한 계류유출량의 장기적인 변화추이를 정량화하고, 임목의 생장이 산림소유역의 유출변화에 어떠한 영향을 미치는지를 파악하기 위하여 실시했다. 연도별로 강우량과 유출량은 비례관계를 보였으며, 시간이 경과할수록 유출량은 점차 감소하는 것으로 나타났다. 월별 강우량과 유출량은 7월과 8월에 가장 높았으며, 유출률은 8월과 9월에 높은 값을 보여 강우량과 유출량, 유출률 변화가 반드시 일치하지는 않았다. 월별 변동계수(CV)는 강우량에 비해 유출량이 더 크게 나타났고, 강우량과 유출량 간의 편차는 점차 증가하였다. 강우량에 대한 총 유출량과 직접 유출량의 변화는 2011년~2017년의 추세선의 기울기가 더 낮아졌고, 기저유출량의 기울기는 증가하였다. 산림토양이 발달하면서 토양층의 수분보유력이 증가하였기 때문으로 보여지며, 기저유출량의 증가는 팔공산 산림소유역의 유출수량 증가와 함께 지하수위 상승에 영향을 줄 것으로 판단된다. 감수곡선의 기울기는 2003년~2010년에 비해 2011년~2017년이 더 낮은 것으로 나타났고, 시간이 경과함에 따라 유출량의 감소가 완화되고 유출량이 일정하게 유지되었다. 따라서 팔공산 산림소유역은 임목의 생장에 따라 지표류의 유출이 감소하고 기저유량이 증가하는 것으로 나타나, 산림의 수원함양기능이 점차 증가하는 것으로 나타났다.

• 한국농공학회지
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• 제18권3호
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• pp.4184-4194
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• 1976

Located in the southwestern part of Korea, the Yong San Gang river flows generally northeast to southwest, and because of the specific location, topography and climate, the basin area is subject to recurrent drought and flood damages. To eliminate the cause of such damages and ensure an increase in the farm income by means of effective irrigation supply and increased cropping intensity, efforts are being made to speed up implementation of an integrated agricultural development project which would include construction. of an estuary dam and irrigation facilities as well as land development and tidal reclarnation. In formulating a basin development project plan, it is necessary to study a series of long-term runoff data. The catchment area at the proposed estuary damsite is 3,471$\textrm{km}^2$ with the total length of the river channel up to this point reaching 138km. An analysis of runoff in this area was carried out. Rainfall was estimated by the Thiessen Network based on records available from 15 of the rainfall observation stations within the area. Out of the 15 stations, Kwang Ju and Mok Po stations were keeping long-term precipitation records exceeding some 60 years while the others were in possession of only 5-10 years records. The long-term records kept by those stations located in the center of the basin were used as base records and records kept by the remaining stations were supplemented using the coefficient of correlation between the records kept by the base stations and the remainder. The analyses indicate that the average annual rainfall measured at Kwang Ju during 1940-1972 (33 years) amounts to 1,262mm and the areal rainfall amounts to 1,236mm. For the purpose of runoff analysis, 7 observatories, were set up in the middle and lower reaches of the river and periodic measurements made by these stations permitted analysis of water levels and river flows. In particular, the long-term data available from Na Ju station significantly contributed to the analysis. The analysis, made by 4-stage Tank method, shows that the average annual runoff during 1940-1972 amounts to 2,189 million ㎥ at the runoff rate of 51%. As for the amount of monthly runoff, the maximum is 484.2 million ㎥ in July while the minimum is 48.3 million ㎥ in January.

• 한국물환경학회지
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• 제32권1호
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• pp.108-114
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• 2016

Sediment-laden water leads to water quality degradation in streams; therefore, best management practices must be implemented in the source area to control nonpoint source pollution. Field monitoring was implemented to measure precipitation, direct runoff, and sediment concentrations at a control plot and straw-applied plot to examine the effect on sediment reduction in this study. A hydrology model, which employs Curve Number (CN) to estimate direct runoff and the Universal Soil Loss Equation to estimate soil loss, was selected. Twenty-five storm events from October 2010 to July 2012 were observed at the control plot, and 14 storm events from April 2011 to July 2011 at the straw-applied plot. CN was calibrated for direct runoff, and the Nash-Sutcliffe efficiency and coefficient of determination were 0.66 and 0.68 at the control plot. Direct runoff at the straw-applied plot was calibrated using the percentage direct runoff reduction. The estimated reduction in sediment load by direct runoff reduction calibration alone was acceptable. Therefore, direct runoff-sediment load behaviors in a hydrology model should be considered to estimate sediment load and the reduction thereof.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.398-398
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• 2015

To estimate and forecast runoff by using Aritifitial Neaural Networks model (ANNs). it has been studied in Thailand for the past 10 years. The model was developed in order to be conformed with the conditions in which the collected dataset is short and the amount of dataset is inadequate. Every year, the Northerpart of Thailand faces river overflow and flood inundation. The most important basin in this area is Yom basin. The purpose of this study is to forecast runoff at Y.14 gauge station (Si-Satchanalai district, Sukhothai province) for 3 days in advance. This station located at the upstream area of Yom River basin. Daily rainfall and daily runoff from Royal Irrigation Department and Meteorological Department during flood period 2000-2012 were used as input data. In order to check an accuracy of forecasting, forecasted runoff were compared with observed data by pursuing Nash Sutcliffe Efficiency (NSE) and Coefficient of Determination ($R^2$). The result of the first day gets the highest accuracy and then decreased in day 2 and day 3, consequently. NSE and $R^2$ values for frist day of runoff forecasting is 0.76 and 0.776, respectively. On the second day, those values are 0.61 and 0.65, respectively. For the third day, the aforementioned valves are 0.51 and 0.52, respectively. The results confirmed that the ANNs model can be used when the range of collected dataset is short and insufficient. In conclusion, the ANNs model is suitable for applying during flood incident because it is easy to use and does not require numerous parameters for simulating.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.259-259
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• 2016

This study examined Artificial Neurons Networks model (ANNs) for forecast flash discharge at Southern part of Thailand by using rainfall data and discharge data. The Sungai Kolok River Basin has meant the border crossing between Thailand and Malaysia which watershed drains an area lies in Thailand 691.88 square kilometer from over all 2,175 square kilometer. The river originates in mountainous area of Waeng district then flow through Gulf of Thailand at Narathiwat Province, which the river length is approximately 103 kilometers. Almost every year, flooding seems to have increased in frequency and magnitude which is highly non-linear and complicated phenomena. The purpose of this study is to forecast runoff on Sungai Kolok at X.119A gauge station (Sungai Kolok district, Narathiwat province) for 3 days in advance by using Artificial Neural Networks model (ANNs). 3 daily rainfall stations and 2 daily runoff station have been measured by Royal Irrigation Department and Meteorological Department during flood period 2000-2014 were used as input data. In order to check an accuracy of forecasting, forecasted runoff were compared with observed data by pursuing Coefficient of determination ($R^2$). The result of the first day gets the highest accuracy and then decreased in day 2 and day 3, consequently. $R^2$values for first day, second day and third day of runoff forecasting is 0.71, 0.62 and 0.49 respectively. The results confirmed that the ANNs model can be used when the range of collected dataset is short and real-time operated. In conclusion, the ANNs model is suitable to runoff forecasting during flood incident of Sungai Kolok river because it is straightforward model and require with only a few parameters for simulation.

• 상하수도학회지
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• 제25권3호
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• pp.407-417
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• 2011

Nowadays, the high land use, mainly used for urbanization, is affecting runoff loads of non-point pollutants to increase. According to this fact, increasing runoff loads seems like to appear that it contributes to high ratio of pollution loads in the whole the pollution loads and that this non-point source is the main cause of water becoming worse quality. Especially, concentrated pollutants on the impermeable roads run off to the public water bodies. Also the coefficient of runoff from roads is high with a fast velocity of runoff, which ends up with consequence that a lot of pollutants runoff happens when it is raining. Therefore it is very important project to evaluate the quantity of pollutant loads. In this study, I computed the pollutant loadings depending on time and rainfall to analyze characteristics of runoff while first flush storm water and evaluated the runoff time while first flush storm water and rainfall based on the change in curves on the graph. I also computed contribution ratio to identify its impact on water quality of stream. I realized that the management and treatment of first flush storm water effluents is very important for the management of road's non-point source pollutants because runoff loads of non-point source pollution are over the 80% of whole loads of stream. Also according to the evaluation of runoff loads of first flush storm water for SS, run off time was shown under the 30 minute and rainfall was shown under the 5mm which is less than 20% of whole rainfall. These are under 5mm which is regarded amount of first flush storm water by the Ministry of Environment and it is judged to be because run off by rainfall is very fast on impermeable roads. Also, run off time and rainfall of BOD is higher than SS. Therefore I realized that the management of non-point source should be managed and done differently depending on each material. Finally, the contribution ratio of pollutants loads by rainfall-runoff was shown SS 12.7%, BOD 12.7%, COD 15.9%, T-N 4.9%, T-P 8.9%, however, the pollutants loads flowing into the steam was shown 4.4%. This represents that the concentration of non-point pollutants is relatively higher and we should find the methodical management and should be concerned about non-point source for improvement on water quality of streams.

• 한국관개배수논문집
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• 제18권1호
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• pp.4-17
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• 2011

The standard design methodology was suggested to construct wetland system for reducing non-point source pollution from Saemangeum reclaimed paddy land. To set for the design flow and concentrations, runoff and water quality survey were conducted during the irrigation period in 2008 at Gyehwa reclaimed paddy land located at near Saemangeum lake. It is rational that 1ha is the optimum constructed wetland size. To meet this size, the moderate drainage area of reclaimed paddy field was 50ha under the conditions that rainfall is 30mm, average runoff coefficient is 0.83, and runoff capture ratio is 0.6. At these condition, the runoff volume from 50ha was 10,520 $m^3/d$ including base flow during irrigation period. To select the optimum wetland system, several case studies were conducted by focusing on the tidal reclaimed land areas having wetland systems in Seokmun. Pond-Wetland system was selected as the standard model because of showing the highest reduction efficiency. Single variable regression equation were delivered to estimate effluent water concentrations from the designed wetland by using long-term monitoring data from the Seokmun experiment site. The effluent concentration from the designed wetland using these equation were showed moderately range.