• Title/Summary/Keyword: initial and near-field dilution rates

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A Study on Initial and Near-Field Dilution at the Ocean Outfall of Masan-Changwon Municipal Wastewater Treatment Plant (마산ㆍ창원 하수종말 처리장의 해양방류 처리수에 대한 초기ㆍ근역 희석연구(I))

  • Kang See-Whan;You Sung-Hyup;Oh Byung-Cheol
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.2 no.2
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    • pp.60-69
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    • 1999
  • In this paper, we have obtained the initial and near-field dilution rates of wastewaters discharged from the ocean outfall of Masan-Changwon municipal wastewater treatment plant from both of field measurements and CORMIX model simulations. In the summer of 1998, water temperature and salinity profiles was measured at 16 stations in the vicinity of the Masan outfall and the dilution rates were analyzed by salinity deficit method. The transport of the wastefields and their initial dilution rates were calculated by CORMIX model using field data as model input. Both of observed and predicted results are shown In very low dilutions with the range of 32~48 from the field data analysis and 29~43 from the model prediction, respectively. This indicates that the water quality in the Masan outfall area can be worsening due to the low dilution rates of diswastewaters, especially, when the ambient currents are very weak in a neap tide and ambient water density is highly stratified in summer.

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Initial and Near-field Dilution at the Ocean Outfall of Masan-Changwon Municipal Wastewater Treatment Plant(II) (마산ㆍ창원 하수종말 처리장의 해양방류 처리수에 대한 초기ㆍ근역 희석연구(II))

  • Kang See Whan;You Sung-Hyup;Oh Byung-Cheol;Park Kwang-Soon
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.3 no.1
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    • pp.35-44
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    • 2000
  • The winter case of the near-field dilution at the Masan outfalls has been studied by field measurements and CORMIX model simulations. Dilution rates of the wastewater discharge in winter were obtained by a salinity deficit method using the field data observed in the neap tidal period of February, 1999. The observed dilution rates in winter season were found to be very high in the range of 90~130 due to the isopycnal mixing of ambient density compared with the summer range of 30~40 under weak neap tidal currents. The results of CORMIX model simulations also show that the winter dilution rates under a weak ambient current(Ua=6.0ms/s) were increased by 3-fold of the summer dilution rates. However, the difference between two seasons becomes small by 30% under a strong current(Ua=15.5cm/s). This result indicates that the dilution and hydrodynamic mixing process of the effluents are more influenced by ambient crossflow condition than by ambient density stratification at the outfalls site.

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Quantification of Turbulence Characteristics on the Concentration Distributions of Traffic-related Pollutants Near Roadways (도로변 난류특성과 교통량에 따른 차량유발 난류강도 정량화: 도로변 풍상/풍하 측에서의 3차원 풍속 동시 측정에 기반)

  • Yongmi Park;Subin Han;HanGyeol Song;Seung-Bok Lee;Kyung-Hwan Kwak;Changhyuk Kim;Wonsik Choi
    • Atmosphere
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    • v.33 no.4
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    • pp.343-354
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    • 2023
  • Turbulence produced on roadways is one of the major factors determining the dilution rates at the initial stage of traffic emissions of air pollutants and, thus, the distribution of air pollutants near the roadways. Field experiments were conducted on Gyeongbu Highway, one of the busiest highways in Korea, for 4~7 days in winter, spring, and summer. Two three-dimensional ultrasonic anemometers were installed on both sides of the highway to estimate turbulence intensities (vertical wind fluctuation and kinetic turbulence energy) induced by the roadway. Roadway-induced turbulence consists of three components: structural road-induced turbulence (S-RIT), thermal road-induced turbulence (T-RIT), and vehicle-induced turbulence (VIT). The contribution of T-RIT to the total RIT was insignificant (less than 10%), and the majority of RIT was S-RIT (by the highway embankment) and VIT. In this study, we propose the empirical relationships of VIT as a function of traffic density and wind speed under free-flow traffic conditions. Although this empirical relationship appears to underestimate the VIT, it can be applied to the air quality models easily because the relationship is simple and only needs readily obtainable input variables (wind speed and traffic information).