• Title/Summary/Keyword: prediciting equation

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Areal Distribution of Runoff Volume by Seasonal Watershed Model (계절유역 모형을 사용한 유량의 공간적분포 결정)

  • 선우중
    • Water for future
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    • v.17 no.2
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    • pp.125-131
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    • 1984
  • watershed Model by mathematical formulation is one of the powerful tool to analyze the hydrologic process in a watershed. The seasonal watershed model is one of the mathematial model from which the monthly streamflow can be simulated and forcasted for given precipitaion data. This model also enables us to compute the monthly runoff at each subbgasin when the basin is subdivided into several small subbasins. The computation of runoff volume makes a Prediction of the areal distirbution of runoff volume for a given precipitation data. Several basins in Han River basin were chosen to simulate the monthly runoff and compute the runoff at each subbasin. A simple logarithmic regression were conducted between runoff ratio and area ratio. The correlation was very high and the equation can be used for prediciting flood volume when flood at downstream gaging station is know.

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A Study on Prediction of Railway Noise Using Raynoise Modeling - A comparison of predicting expressions and Raynoise simulations - (Raynoise를 이용한 철도소음의 예측에 관한 연구 - 예측식과 Raynoise모델링의 비교 -)

  • Kim Tae-Gu;Park Min-Soo;Kim Tae-Oh
    • Journal of the Korean Society of Safety
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    • v.20 no.2 s.70
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    • pp.6-10
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    • 2005
  • With the rapid industrial development, railways have become a main traffic means of transportation. However, rail traffic noise and vibration have become a major problem in urban areas which is a very serious issue for the living environment. Especially, railway noise induced by rail operations has influenced on the residents living near railway tracks. The purpose of this paper is to investigate the Raynoise modeling in railway applications. Generally, my acoustics have been used to investigate the effectiveness of noise barriers in railway applications and barriers are modeled using the commercial software Raynoise. A-weighted sound pressure level have been measured at six locations, 4m from the track and are compared with experimental values. Based on the analysis of the results, Comparison between numerical and experimental values are within 1dB (A). Also, when a train is m through the Raynoise modeling, the general influential sphere of railway noise can be determined. Therefore, this study will be using basic data in establishing effective railway noise prevention plans far the future. Also, we could know that is applicable of Raynoise modeling at railway noise.