• Title/Summary/Keyword: Discharge estimation

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A statistical estimation of electromagnetic detection rate caused by electrostatic discharge (정전기 방전에 의한 전자 간섭빈도의 통계적 추정)

  • 강인호;이창복;정옥현
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.34D no.10
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    • pp.7-13
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    • 1997
  • A modern electronic system located at a certain distance form the discharge may respond with unexpected sensitivity ot that phenomenon, even if the phenomenon is so slight as to have been ignored in the port. It has been found that electromagnetic wave energy is emitted as a results of this electrostatic discharge between metallic objects. In order to theoretically examine the peculiar phenomenon, we propose an analytical approach to model the indirect ESD effect. A soruce model is given here using the spark resistence presented by rompe-weizel. A model experiment for indirect eSD is also conducted to express ESD detection rate by the statistical estimation. We verify that the statistical estimations agree the theoretical curve resulted from the rompe-weisel resistence.

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Explicit Design of Commercial Pipe on a Slope with Pumping Power (동력경사 상용관의 양해법 설계)

  • Yu, Dong-Hun;Gang, Chan-Su
    • Journal of Korea Water Resources Association
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    • v.30 no.5
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    • pp.495-501
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    • 1997
  • Pumping power being given, traditional method requires an iteration process for the solution of discharge and pipe diameter. Yoo and Kang (1996) have developed explicit equations for the estimation of discharge and pipe diameter for the cases of uniformly rough pipe on a sloping bed with a pumping power. The use of poser law for the estimation of friction factor enabled to develop the explicit form of equations. Yoo (1995a) has suggested the mean friction factor method for the estimation of friction factor of commercial pipe or composite surface pipe. With the same approach, the present work has developed the explicit equations of discharge or pipe diameter for the general case of commercial pipe on a sloping bed with a pumping power by adopting the mean friction factor method.

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An Estimation of Discharge Coefficient Considering the Geometrical Shape of Broad Crested Side Weir (광정횡월류위어의 기하학적 형상을 고려한 유량계수 산정)

  • Cho, Hong-Je;Kang, Ho-Seon
    • Journal of Korea Water Resources Association
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    • v.44 no.12
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    • pp.955-965
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    • 2011
  • The flow characteristics of rectangular and 1 : 1 and 1 : 2 trapezoidal weirs were investigated through hydraulic experiments in order calculate the exact overflow discharge of the broad-crested side weir. The flow was found to be most stable in trapezoidal shapes with the lowest incline. The 1 : 1 and 1 : 2 trapezoidal weirs had 5.67% and 8.57% increases, respectively, compared to the rectangular weir in terms of overflow amount, which suggests that they are more effective in preventing flood. An integrated discharge coefficient equation taking into account the discharge coefficient equation and shapes was proposed through a multiple linear regression analysis with an addition of a new parameter for the side wear, $L/L_H$, to the conventional discharge coefficient equation. Also, the applicability of the newly proposed discharge coefficient equation was reviewed by comparing the measured and calculated overflow amounts based on the experimental data of preceding researches and existing researchers and the research data of this study.

Study on the Calculation Method of Design Flood Discharge of Dam (댐 설계홍수량 산정방법에 관한 연구)

  • Lee, Jai-Hong;Moon, Young-Il;Beck, Yoo-Hyun;Jang, Kwang-Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.277-281
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    • 2011
  • In this study, past method and recent method for flood discharge with domestic multi-purpose dams in Korea were compared and analyzed with respect to the scale of watershed. Rainfall depth, temporal distribution, effective rainfall, rainfall-runoff model, parameter estimation and base flow were selected as the principal factors affecting flood discharge and effects on flood discharge were analyzed quantitatively by using sensitivity analysis. The results showed that the flood discharges calculated by past and recent method increased and decreased with a wide range of discharge with respect to the scale of watershed. The reason for decrease of flood discharge is the exchange of temporal distribution pattern of rainfall and the principal reason for increase of flood discharge are the increase of rainfall depth by unusual weather phenomena and the difference of estimation method of parameters of unit hydrograph.

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Study on Estimation and Application of Discharge Coefficient about Nonpoint Source Pollutants using Watershed Model (유역모형을 이용한 유량조건별 배출계수 산정 및 활용방안 연구)

  • Hwang, Ha-Sun;Rhee, Han-Pil;Park, Jihyung;Kim, Yong-Seok;Lee, Sung-Jun;Ahn, Ki Hong
    • Journal of Korean Society on Water Environment
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    • v.31 no.6
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    • pp.653-664
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    • 2015
  • TPLMS (Total water pollutant load management system) that is the most powerful water-quality protection program have been implemented since 2004. In the implementation of TPLMS, target water-quality and permissible discharged load from each unit watershed can be decided by water-quality modeling. And NPS (Non-point sources) discharge coefficients associated with certain (standard) flow are used on estimation of input data for model. National Institute of Environmental Research (NIER) recommend NPS discharge coefficients as 0.15 (Q275) and 0.50 (Q185) in common for whole watershed in Korea. But, uniform coefficient is difficult to reflect various NPS characteristics of individual watershed. Monthly NPS discharge coefficients were predicted and estimated using surface flow and water-quality from HSPF watershed model in this study. Those coefficients were plotted in flow duration curve of study area (Palger stream and Geumho C watershed) with monthly average flow. Linear regression analysis was performed about NPS discharge coefficients of BOD, T-N and T-P associated with flow, and R2 of regression were distributed in 0.893~0.930 (Palger stream) and 0.939~0.959 (Geumho C). NPS Discharge coefficient through regression can be estimated flexibly according to flow, and be considered characteristics of watershed with watershed model.

Improvement of Rating-curve by HEC-RAS (HEC-RAS를 이용한 수위-유량곡선의 개선방안)

  • Lee, Yeong Hwa;Lee, Chang Su;Park, Gi Beom
    • Journal of Environmental Science International
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    • v.13 no.9
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    • pp.759-765
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    • 2004
  • HEC-RAS model is used for estimation of rating-curve of Musung in Wi stream. Discharge is computed from stage estimated by HEC-RAS model, is compared with the discharge of water surface slope method. The relative deviation of observed and computed discharge is 5.37%, and shows as a good results. A rating-curve by HEC-RAS model shows better results than by water surface slope method.

Separation of Partial Discharge Signals and Noise (부분방전 신호와 잡음의 분리)

  • 이승환;유치형;정찬수;김재철;이상철;정양웅
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.13 no.1
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    • pp.21-30
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    • 1999
  • The research for retecting of insulating deterioration in transforrrer has been studied from long ago and the analysis rrethod of combustible gas which is included in insulating oil has been used Recently the spreading effect of the accident is larger than before because of high voltage and large capacity, so on-line detecting system is needed and the study for the estimation of partial discharge signals location has begun. This thesis is the study for the sermating noise signal that is the greatest problem in ultrasonic signal measurement which is one of the method of estimation of partial discharge signals location. Because we can measure the number and location of signal, it is rossible to distinguish between the signal of partial discharge and the external noise. Therefore, we can devolop the credibility of detecting of insulating deterioration in transformer.former.

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Improvement of Suspended Solid Loads Estimation in Nakdong River Using Minimum Variance Unbiased Estimator (비편향 회귀분석모형을 이용한 낙동강 본류 부유사량 산정방법의 신뢰도 향상)

  • Han, Suhee;Kang, Du Kee;Shin, Hyun Suk;Yu, Jae-Jeong;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.23 no.2
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    • pp.251-259
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    • 2007
  • In this study three log-transformed linear regression models are compared with the focus of bias correction problem. The models are the traditional simple linear regression estimator (SL), the quasi maximum likelihood estimator (QMLE) and the minimum variance unbiased estimator (MVUE). Using such models, suspended solid loads can be estimated using the discharge - suspended solid data set that has been measured by NIER Nakdong River Water Environment Laboratory. As a result, SL shows negative bias for most values of the measured discharge range. QMLE is nearly unbiased for moderate values of the measured discharge range, but shows increasingly positive bias for either large or small value of the measured discharge range. MVUE is unbiased. It is also analyzed how the estimated regression coefficient and exponent are distributed along Nakdong river main stream.

Estimation of Material Removal Volume of a Micro-EDM Drilled Hole Using Discharge Pulse Monitoring

  • Jung, Jae-Won;Ko, Seok-Hoon;Jeong, Young-Hun;Min, Byung-Kwon;Lee, Sang-Jo
    • International Journal of Precision Engineering and Manufacturing
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    • v.8 no.4
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    • pp.45-49
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    • 2007
  • When drilling using electrical-discharge machining (EDM), severe electrode wear makes in-process measurements of the depth of the drilled hole and the volume of material removed impossible. To estimate the volume of material removed a reliable real-time discharge pulse counting method is proposed by assuming that the volume removed in EDM is proportional to the number of discharge pulses from an iso-energy pulse generator. The geometry of machined holes, including depths and cross-sectional profiles, is estimated using geometric analysis. A proportional relationship between the volume of material removed and the number of discharge pulses was developed and verified by experiments.

A Stochastic Nonlinear Analysis of Daily Runoff Discharge Using Artificial Intelligence Technique (인공지능기법을 이용한 일유출량의 추계학적 비선형해석)

  • 안승섭;김성원
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.6
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    • pp.54-66
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    • 1997
  • The objectives of this study is to introduce and apply neural network theory to real hydrologic systems for stochastic nonlinear predicting of daily runoff discharge in the river catchment. Back propagation algorithm of neural network model is applied for the estimation of daily stochastic runoff discharge using historical daily rainfall and observed runoff discharge. For the fitness and efficiency analysis of models, the statistical analysis is carried out between observed discharge and predicted discharge in the chosen runoff periods. As the result of statistical analysis, method 3 which has much processing elements of input layer is more prominent model than other models(method 1, method 2) in this study.Therefore, on the basis of this study, further research activities are needed for the development of neural network algorithm for the flood prediction including real-time forecasting and for the optimal operation system of dams and so forth.

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