• Title/Summary/Keyword: Power Plant Plumes

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Remote Sensing of Atmospheric Trace Species using Multi Axis Differential Optical Absorption Spectroscopy (Multi Axis DOAS를 이용한 대기미량 물질 원격 측정)

  • Lee Chul-Kyu;Kim Young-Joon
    • Korean Journal of Remote Sensing
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    • v.22 no.2
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    • pp.141-151
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    • 2006
  • UV-visible absorption measurement techniques using several horizone viewing directions in addition to the traditional zenith-sky pointing have been recently developed in ground-based remote sensing of atmospheric constituents. The spatial distribution of various trace gases close to the instrument can be derived by combing several viewing directions. Multi-axis differential optical absorption spectroscopy (MAX-DOAS) technique, one of the remote sensing techniques for air quality measurements, uses the scattered sunlight as a light source and measures it at various elevation angles (corresponding to the viewing directions) by sequential scanning with a stepper motor. A MAX-DOAS system developed by GIST/ADEMRC has been applied to measuring trace gases in urban air and plumes of the volcano and fossil fuel power plant in January, May, and October 2004, respectively. MAX-DOAS spectra were analyzed to identify and quantify $SO_2,\;NO_2,\;BrO,\;and\;O_4$ (based on Slant Column Densities, SCD) in the urban air, volcanic plume, and fossil fuel power plant utilizing theirs specific structured absorption features in the UV-visible region. Vertical scan through the multiple elevation angles was performed at different directions perpendicular to the plume dispersion to retrieve cross-sectional distribution of $SO_2\;or\;NO_2$ in the plumes of the volcano and fossil fuel power plant. Based on the estimated cross sections of the plumes the mixing ratios were estimated to 580 $SO_2$ ppbv in the volcanic Plume, and 337 $NO_2\;and\;227\;SO_2$ ppbv in the plume of the fossil fuel power plant, respectively.

Modeling of SO$_2$ Emissions from Yatagan Power Plant

  • Im, Ulas;Yenigun, Orhan
    • Proceedings of the Korean Environmental Sciences Society Conference
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    • 2003.11a
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    • pp.69-72
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    • 2003
  • The meteorological model, CALMET, and its plume dispersion model, CALPUFF, were used in order to simulate the dispersion of $SO_2$ emitted from Yatagan Power Plant and its effect on Yatagan district in the episodic event on December 2 and 3, 2000. It is found that south westerly and light winds and the nighttime surface inversion layers lead to accumulation of pollutants over Yatagan district. The results are compared with the measurements done by Local Environmental Authorities of Mu la. The simulation results indicate that the maximum ground level concentrations were found northeast from the source, which agrees with experimental measurement. On the other hand, the magnitude of results obtained with the model shows some differences compared with experimental measurements.

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Analysis of wind field data surrounding nuclear power plants to improve the effectiveness of public protective measures

  • Jin Sik Choi;Jae Wook Kim;Han Young Joo;Jeong Yeon Lee;Chae Hyun Lee;Joo Hyun Moon
    • Nuclear Engineering and Technology
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    • v.55 no.10
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    • pp.3599-3616
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    • 2023
  • After a nuclear power plant (NPP) accident, it would be helpful to predict the movement of the radioactive plume emitted from the NPP as accurately as possible to protect the nearby population. Radioactive plumes are mainly affected by wind direction and speed. Since it is difficult to identify the wind direction and speed immediately after the accident, a good understanding of the historical wind data could save many lives and ensure smoother evacuation procedures. In this study, wind data for the past 10 years are analyzed for the five NPPs in the Republic of Korea (ROK). The analyzed data include wind direction and wind speed from 2012 to 2021. In particular, the characteristics of the wind field blowing from the NPPs to the nearest densely populated regions are examined. Finally, suggestions to improve evacuation plans are made.

Difference in Macrobenthic Community Structures at Thermal Effluent Discharge Areas of Two Nuclear Power Plants in Korea (원자력발전소의 온배수 배출해역에서 대형 저서동물 군집구조의 차이)

  • Maeng, Jun-Ho;Kim, Keun-Yong;Kim, Young Ryun;Shon, Myung Baek;Kim, Jin Hee;Son, Min Ho
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.18 no.3
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    • pp.157-165
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    • 2015
  • This study investigated and compared sediment properties and macrobenthic community structures within heated effluent plumes at the discharge areas of Kori Nuclear Power Plant (KNPP) and Sinkori Nuclear Power Plant (SNPP) in Korea, which have different thermal effluent discharge systems. There were significant differences in sand, clay and organic carbon contents between sediments at the two discharge areas. Species richness and abundance of macrobenthos were higher at the SNPP discharge area than at that of the KNPP, although the values at both areas were comparable to previous studies in coastal areas of eastern Korea.

Development of an Imaging-DOAS System for 2-D Remote Sensing of Atmospheric Gases (대기가스오염물질의 이차원 원격 모니터링을 위한 Imaging-DOAS 개발)

  • Lee, Han-Lim;Lee, Chul-Kyu;Jung, Jin-Sang;Park, Jeong-Eun;Kim, Young-Joon
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.2
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    • pp.150-157
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    • 2006
  • Spatially resolved remote identification and quantification of trace gases in the atmosphere is desirable in various fields of scientific research as well as in public security and industrial contexts. Environmental observations investigating causes, extent md consequences of air pollution are of fundamental interest. We present an Imaging-DOAS system, a ground based remote sensing instrument that allows spatially resolved mapping of atmospheric trace gases by a differential optical absorption spectroscopy(DOAS) with sun scattered light as the light source. A passive DOAS technique permits the identification and quantification of various gases, e.g., $NO_2,\;SO_2,\;and\;CH_2O$, from their differential absorption structures with high sensitivity. The Imaging-DOAS system consists of a scanning mirror, a focusing lens, a spectrometer, a 2-D CCD, ad the integral control software. An imaging spectrometer simultaneously acquires spectral information on the incident light in one spatial dimension(column) and sequentially scans the next spatial dimension with a motorized scanning mirror. The structure of the signal acquisition system is described in detail and the evaluation method is also briefly discussed. Applications of imaging of the $NO_2$ contents in the exhaust plumes from a power plant are presented.