• Title/Summary/Keyword: Rating Curve

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Hydrologic Monitoring Analysis due to Hydrologic Characteristic Variation at Urban Stream (도시하천 수문특성변화에 따른 수문모니터링 분석)

  • Seo, Kyu-Woo;Kim, Dai-Gon;Kim, Nam-Gil;Sim, Bong-Joo;Won, Chang-Hee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.746-751
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    • 2006
  • The geumjunggu of the onchunchun which is the upper stream have been maintained as a too much picture to become a concrete lining about existing low flow channel and the reservoir water protecting banks for the reason of the flow of an upper stream steep slope and back of the shortage of the channel area in a suitableness interval. This research made a rating-curve to decide since to ensure against risks to the flood control through the undo of the rivers. And we found the speed of current of a nature undo interval and existing concrete interval and water level change out. A result from this natural disposition we must apply as a data for the research about the plan to be established in the rivers maintenance basis plan of onchunchun.

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The evaluation of SDR of Yongdam basin using GIS data (GIS 자료를 이용한 용담호 유역의 유사전달률 평가)

  • Lee, Geun-Sang;Kim, Yu-Ri;Hwang, Eui-Ho;Lee, Gwang-Man
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2009.04a
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    • pp.269-270
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    • 2009
  • This study builds a sediment rating curve using the measured sediment yield and the simulated soil erosion by a GIS-embedded empirical model. Then the structured sediment rating curve is used to determine the SDR on a basin scale in southern Korea. The whole data(year of 2002-2008) are divided into two groups and the first group(year of 2002-2005) is used for calibration, while the other is used for validation. Two cases(rainfall amount and rainfall intensity) are analyzed to consider the rainfall runoff erosivity factor in simulating soil erosion. The results show the derived SDR provides reasonable accuracy and rainfall intensity gives better performance in calculating soil erosion than rainfall amount.

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An Efficient Management of Sediment Deposit for Reservoir Long-Term Operation (1) - Reservoir Sediment Estimation (저수지 장기운영을 위한 퇴적토사의 효율적 관리(1) - 저수지 퇴사량 산정)

  • Ahn, Jae Hyun;Jang, Su Hyung;Choi, Won Suk;Yoon, Yong Nam
    • Journal of Korean Society on Water Environment
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    • v.22 no.6
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    • pp.1088-1093
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    • 2006
  • In this study, the method of annual sediment estimation for reservoir long-term operation is proposed. Long-term daily precipitation and evaporation are predicted by Markov Chain. Using these values, reservoir inflow is simulated by NWS-PC model. Reservoir sediment load is estimated by sediment rating relation curve which is observed. From the simulation results, it was found that each simulated value by Markov Chain and NWS-PC was well compared to the observed ones and also estimated reservoir sediment was appropriate to the compared values using empirical equations. It is thought that the proposed method for estimation of reservoir sediment can be useful used to operate the reservoir.

Application of Load Duration Curve and Estimation of Delivery Ratio by Flow Durations Using Discharge-Load Rating Curve at Jiseok Stream Watershed (유량-부하량관계식을 이용한 지석천 유역의 부하지속곡선 적용 및 유황별 유달율 산정)

  • Park, Jinhwan;Kim, Kapsoon;Hwang, Kyungsup;Lee, Yongwoon;Lim, Byungjin
    • Journal of Korean Society on Water Environment
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    • v.29 no.4
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    • pp.523-530
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    • 2013
  • This study has been carried out to clarify the characteristics of discharge and pollutant loading according to flow conditions at jiseok stream watershed (JSW). A flow rate and pollutant load in the study watershed were estimated by equation of stage-discharge and discharge-loads rating curve. By using the methods above, I've evaluated the water quality (WQ) of the JSW if it is satisfied with the standard target. I've collected the data of BOD and T-P from the JSW every 8 days for the duration of 12 months. And then, I've schematized the data upon the load duration curve and the results showed me that the WQ of JSW was satisfied with the standard target. I've also collected the same data every each day for the duration of 12 months from JSW and have schematized the data again. And the results showed that it also was satisfied with the standard target. To be concluded, I've determined that point pollution sources of JSW gives more significant impacts to the WQ than non-point pollution sources of JSW and hence, as time goes, point pollution sources will keep depriciating the WQ of JSW. Therefore, further efforts will be required to JSW to maintain the WQ.

Development of a Stream Discharge Estimation Program (자연하천 유량산정 프로그램 개발)

  • Lee Sang Jin;Hwang Man Ha;Lee Bae Sung;Ko Ick Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.1
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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.

Nonparametic Kernel Regression model for Rating curve (수위-유량곡선을 위한 비매개 변수적 Kernel 회귀모형)

  • Moon, Young-Il;Cho, Sung-Jin;Chun, Si-Young
    • Journal of Korea Water Resources Association
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    • v.36 no.6
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    • pp.1025-1033
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    • 2003
  • In common with workers in hydrologic fields, scientists and engineers relate one variable to two or more other variables for purposes of predication, optimization, and control. Statistics methods have improved to establish such relationships. Regression, as it is called, is indeed the most commonly used statistics technique in hydrologic fields; relationship between the monitored variable stage and the corresponding discharges(rating curve). Regression methods expressed in the form of mathematical equations which has parameters, so called parametric methods. some times, the establishment of parameters is complicated and uncertain. Many non-parametric regression methods which have not parameters, have been proposed and studied. The most popular of these are kernel regression method. Kernel regression offer a way of estimation the regression function without the specification of a parametric model. This paper conducted comparisons of some bandwidth selection methods which are using the least squares and cross-validation.

TMDL Evaluation of Nakdong River Basin Using Load Duration Curve and Streamflow-Load Rating Curve (부하지속곡선과 유량-부하량 상관곡선을 이용한 낙동강 유역의 오염총량평가)

  • Shon, Tae Seok;Joo, Jae Seung;Park, Jae Beom;Shin, Hyun Suk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.475-481
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    • 2011
  • The TMDL standard flow as applying watershed management regime uses the average low flow of past 10 years. Moreover, the TMDL implementation assessment has been enforced through management of pollutant load satisfied objective water quality. Even though the present allocation and management through averaged low flow are still convenient, they are not enough to solve ultimate goals of watershed management to keep up recovery of water body. To maintain the same water quality concentration, the standard flow is required to consider total discharge in management plan which helps to keep healthy ecosystem. In view of this, it would be possible to approach reasonable assessment by reflecting variably changeable discharge from precipitation-streamflow relation and the TMDL standard establishment considering artificial regulated flow. Therefore, this study attempts to develop the TMDL method using Load Duration Curve (LDC) and Streamflow-Load Rating Curve (QLRC) considering total discharge and finds drawbacks with solutions as applying on Nakdong river TMDL unit watershed. Finally, this research evaluates possibility of application on pollutant load allocating and implementation assessment in Korea.

Identification of Uncertainty in Fitting Rating Curve with Bayesian Regression (베이지안 회귀분석을 이용한 수위-유량 관계곡선의 불확실성 분석)

  • Kim, Sang-Ug;Lee, Kil-Seong
    • Journal of Korea Water Resources Association
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    • v.41 no.9
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    • pp.943-958
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    • 2008
  • This study employs Bayesian regression analysis for fitting discharge rating curves. The parameter estimates using the Bayesian regression analysis were compared to ordinary least square method using the t-distribution. In these comparisons, the mean values from the t-distribution and the Bayesian regression are not significantly different. However, the difference between upper and lower limits are remarkably reduced with the Bayesian regression. Therefore, from the point of view of uncertainty analysis, the Bayesian regression is more attractive than the conventional method based on a t-distribution because the data size at the site of interest is typically insufficient to estimate the parameters in rating curve. The merits and demerits of the two types of estimation methods are analyzed through the statistical simulation considering heteroscedasticity. The validation of the Bayesian regression is also performed using real stage-discharge data which were observed at 5 gauges on the Anyangcheon basin. Because the true parameters at 5 gauges are unknown, the quantitative accuracy of the Bayesian regression can not be assessed. However, it can be suggested that the uncertainty in rating curves at 5 gauges be reduced by Bayesian regression.

Diagonstic Evaluation of X-Ray Imaging using Fuzzy Logic Systems (Fuzzy Logic Systems을 이용한 X-선 영상의 진단평가)

  • Lee, Yong-Gu
    • 전자공학회논문지 IE
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    • v.46 no.3
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    • pp.62-67
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    • 2009
  • In this paper, ROC curves were designed by using Fuzzy Logic Systems. ROC curve is used for diagnostic evaluation and the person evaluating ROC curve is chosen as a first-level diagnostician. For rating diagnostic capability on ROC curve through learning, the chest X-ray image is used. The images used for making a diagnosis are X-ray film being both noise and signal. The result over diagnostic capability difference between the male and the female represented a man had better than a woman but that difference can be ignored.