• Title/Summary/Keyword: tracer model

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Proper Emission Condition of Western Sea Tracer Dispersion Experiment Using CALPUFF Model (CALPUFF 모델을 이용한 서해상 추적자 확산실험의 적정 배출조건 설정)

  • 이종범;황윤성;이강웅;노철언;최덕일;한진석
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2000.11a
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    • pp.200-202
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    • 2000
  • 도시지역에서의 오염물질의 이동과 확산은 오염물질의 농도뿐만 아니라 인근 도시에까지 영향을 미치게 되므로 매우 중요하다. 이에 최근 들어 인체에 무해하고 대기 중에서 화학반응을 일으키지 않는 추적기체를 이용한 확산실험을 통해 기존의 대기오염 확산모델 등에 대한 평가 및 개선이 많이 이루어지고 있으며, 특정 지형을 대상으로 한 확산실험도 종종 이루어지고 있다. (중략)

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Prediction of Chlorine Residual in Water Distribution System (상수관망내 잔류염소농도 분포 예측)

  • Joo, Dae-Sung;Park, No-Suk;Park, Heek-Yung;Oh, Jung-Woo
    • Journal of Korean Society of Water and Wastewater
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    • v.12 no.3
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    • pp.118-124
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    • 1998
  • To use chlorine residual as an surrogate parameter of the water quality change during the transportation in the water distribution system(WDS), the correct prediction model of chlorine residual must be established in advance. This paper shows the procedure and the result of applying the water quality model to the field WDS. To begin with, hydraulic model was calibrated and verified using fluoride as an tracer. And chlorine residual was predicted through simulation of water quality model. This predicted value was compared with the observed value. With adjusting the bulk decay coefficient(kb) and the wall decay coefficient(kw) according to the pipewall environment, the predicted chlorine residual can represent the observed value relatively well.

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A Tracer Study on Mankyeong River Using Effluents from a Sewage Treatment Plant (하수처리장 방류수를 이용한 추적자 시험: 만경강 유역에 대한 사례 연구)

  • Kim Jin-Sam;Kim Kang-Joo;Hahn Chan;Hwang Gab-Soo;Park Sung-Min;Lee Sang-Ho;Oh Chang-Whan;Park Eun-Gyu
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.11 no.2
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    • pp.82-91
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    • 2006
  • We investigated the possibility of using effluents from a municipal sewage treatment plant (STP) as tracers a tracer for hydrologic studies of rivers. The possibility was checked in a 12-km long reach downstream of Jeonju Municipal Sewage Treatment Plant (JSTP). Time-series monitoring of the water chemistry reveals that chemical compositions of the effluent from the JSTP are fluctuating within a relatively wide range during the sampling period. In addition, the signals from the plant were observed at the downstream stations consecutively with increasing time lags, especially in concentrations of the conservative chemical parameters (concentrations f3r chloride and sulfate, total concentration of major cations, and electric conductivity). Based on this observation, we could estimate the stream flow (Q), velocity (v), and dispersion coefficient (D). A 1-D nonreactive solute-transport model with automated optimization schemes was used for this study. The values of Q, v, and D estimated from this study varied from 6.4 to $9.0m^3/sec$ (at the downstream end of the reach), from 0.06 to 0.10 m/sec, and from 0.7 to $6.4m^2/sec$, respectively. The results show that the effluent from a large-scaled municipal STP frequently provides good, multiple natural tracers far hydrologic studies.

Analysis of solute transport in rivers using a stochastic storage model (확률론적 저장대모형을 이용한 하천에서의 물질혼합거동 해석)

  • Kim, Byunguk;Seo, Il Won;Kwon, Siyoon;Jung, Sung Hyun;Yun, Se Hun
    • Journal of Korea Water Resources Association
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    • v.54 no.5
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    • pp.335-345
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    • 2021
  • The one-dimensional solute transport models have been developed for recent decades to predict behavior and fate of solutes in rivers. Transient storage model (TSM) is the most popular model because of its simple conceptualization to consider the complexity of natural rivers. However, the TSM is highly dependent on its parameters which cannot be directly measured. In addition, the TSM interprets the late-time behavior of concentration curves in the shape of an exponential function, which has been evaluated as not suitable for actual solute behavior in natural rivers. In this study, we suggested a stochastic approach to the solute transport analysis. We delineated the model development and model application to a natural river, and compared the results of the proposed model to those of the TSM. To validate the proposed model, a tracer test was carried out in the 4.85 km reach of Gam Creek, one of the first-order tributaries of Nakdong River, South Korea. As a result of comparing the power-law slope of the tail of breakthrough curves, the simulation results from the stochastic storage model yielded the average error rate of 0.24, which is more accurate than the 14.03 and 1.87 from advection-dispersion model and TSM, respectively. This study demonstrated the appropriateness of the power-law residence time distribution to the hyporheic zone of the Gam Creek.

The Effect of Typhoons on Red Tide (태풍이 적조에 미치는 영향)

  • Hong, Chul-Hoon
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.50 no.2
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    • pp.222-226
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    • 2017
  • It is well known that typhoons strongly influence marine ecosystems. For example, red tides nearly disappear after the passage of typhoons, although the physical or biological mechanism underlying this has not been elucidated. Here, a particle tracking model is executed in a three-dimensional primitive equation model to understand the process of red tide extinction after the passage of a typhoon. Red tide organisms may be regarded as tracers because they have limited mobility and thus their behavior is governed entirely by currents. Initially, tracers are randomly scattered within a limited area, and their spatial and temporal behavior is tracked during and after the passage of a typhoon. This model suggests that the extinction of red tides is significantly influenced by momentum disturbances caused by the typhoon.

Effect of Shape and Flow Rate on T10 in Clearwell (정수지의 형상과 유입 유량이 T10에 미치는 영향 연구)

  • Shin, Eun-Her;Kim, Sung-Hoon;Park, Hee-Kyung;Ahn, Jae-Chan;Choi, Jae-Ho;Choi, Young-June
    • Journal of Korean Society of Water and Wastewater
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    • v.19 no.6
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    • pp.819-826
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    • 2005
  • To guarantee the disinfection ability in clearwell, a value of CT is considered where C[mg/l] is disinfectant residual at the exit of clearwell and T[min] means $T_{10}$, the contact time when 10% of tracer is out of clearwell after introducing the tracer at the inlet. To meet a CT value required, increasing the C value is not recommended because high C value can increase potential of producing disinfection by product like THMs. Increasing the hydraulic efficiency surrogated by $T_{10}$ is thus an option widely recommended. Right now, it is widely adopted estimating $T_{10}$ considering LW ratio only due to the suggestions of previous researches. The authors think however there are other factors to consider including shape, flow rate, configuration of inlet and outlet, and the existence of intra basin. This study is initiated to closely look at the effects of two factor on hydraulic efficiency. The factors are shape and inlet flow velocity, i.e., inflow. For that, computational fluid dynamics (CFD) model is developed and pilot test is also carried out. The results show that at a L/W ratio, disinfection ability is overestimated with larger length in shape and higher inlet flow velocity. This suggests that in determining $T_{10}$, the shapes of clearwell and inlet flow velocity should also be considered as well as L/W ratio.

Flow Characteristics Analysis of the Decontamination Device with Mixing and Diffusion Using Radio-Isotopes Tracer (방사성 동위원소를 이용한 제염제 혼합확산장치의 유동특성분석)

  • Oh, Daemin;Kang, Sungwon;Kim, Youngsug;Jung, Sunghee;Moon, Jinho;Park, Jangguen
    • Journal of Korean Society of Environmental Engineers
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    • v.39 no.5
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    • pp.282-287
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    • 2017
  • The purpose of this study was predicted the effects of mixing and diffusion due to the operation of the apparatus before the development of the mixed diffusion device for the decontamination absorbent to minimize the influence of contaminant inflow due to radiation accident. The tracer used for the flow characteristics was $^{68}Ga$, $^{99m}Tc$, which is a radioactive isotope, and 2 inch NaI radiation detector was used to detect it. The impeller of the decontamination mixed diffusion system applied to this study was made into three types and the mixing diffusion effect was compared. As a result of analyzing the flow characteristics of the radio-isotope with decontamination mixed diffusion device, mixing, diffusion and flow pattern were obtained. The radial mixing type impeller was able to diffuse to the water surface by the upflow flow, and the fin structure was adjusted for finding optimal conditions. The model 3 type consists of a fin guiding part and an auxiliary fin so that the diffusion speed is higher than that of other types of impellers. It also showed a short time to reach complete mixing.

A Study on the Velocity, the Grain Size and the Bed Depth of the Rapid Filter (급속여과지(急速濾過池)의 여과속도(濾過速度)와 여재구성(濾材構成)의 연구(硏究) -여과저항(濾過抵抗)을 중심(中心)으로-)

  • Kang, Yong Tai
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.3 no.3
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    • pp.1-7
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    • 1983
  • In spite of extensive knowledge of the surface chemistry and the transport mechanism in filtration systems, there is still insufficient understanding of the physical characteristics of suspensions and the system components. Because of this, no filtration mechanisms are mathematically generalized to the full extent. The purpose of this paper is to propose experimental equations for the filtration process. using the tracer study in filter layer. Some of results are as follows. (1) The Volume of the specific deposit (${\sigma}$) in filtration was directly measurable using the tracer study without interrupting the filtration. (2) It was also confirmed that the head loss in filtration was greatly in fluenced by the micro-air babbles. (3) The correction coefficient(f) was introduced into the Kozeny-Carman equation in order to apply it for the clogging filter media. The coefficient(f) was experimentally obtained. The total head loss of the filter media is given by next equation. $${\frac{h}{h_0}}={\frac{1}{L}}{\int}^{z=L}_{z=0}f({\sigma})g({\varepsilon}_0,{\sigma})dz$$ $$f=aexp(-b{\sigma})$$ The above equation was applicable without regard to the variation of the suspension concentration, the filter medium diameter, the filter depth, the filtration velocity, and the amount of aluminum in all continuous filtration experiments. (4) The total head loss was graphically generalized assuming mathematical filtration models I II (see fig. 7,8) (5) The total head loss was obtained from the filtration model in the field filtration conditions. (see fig. 9,10)

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Analysis of Two-Dimensional Pollutant Transport in Meandering Streams (사행하천에서 오염물질의 2차원 거동특성 해석)

  • Oh, Jung-Sun;Seo, Il-Won;Kim, Young-Han
    • Journal of Korea Water Resources Association
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    • v.37 no.12
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    • pp.979-991
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    • 2004
  • In this study, RMA2 and RMA4, the 2-D depth-averaged models, were employed to simulate the two-dimensional mixing characteristics of the pollutants in the natural streams. The velocity and depth were first calculated using RMA2, 2-D hydrodynamic model, and then the resulting flow field was inputted to RMA4, 2-D water quality model, to compute the concentration field. RMA models were verified using the velocity and concentration data measured in S-curved meandering channel. The results showed that the RMA2 model simulated well the phenomenon that the maximum velocity line is located at the Inner bank of meandering channel, and the RMA4 model was well adapted to reproduce the general mixing behavior and the separation of tracer clouds. Comparing model simulations with measured data in the field experiments, RMA2 model simulated well general flow field and tendency that the maximum velocity line skewed toward the outer bank which were found in field experiments. The simulations of RMA4 model showed that the center of the tracer cloud tends to follow the path in which the maximum velocity occurs. In this study, the dispersion coefficients are fine-tuned based on the measured coefficients calculated using field concentration data, and the results show reasonable agreement with predictive equations.