Application of satellite infrared data for mapping of thermal plume contamination in coastal ecosystem of Korea

Ocean Satellite Research Group, Korea Ocean Research and Development Institute, Ansan, P.O. Box 29, Seoul 425-600, Korea.
Marine Environmental Research (Impact Factor: 2.76). 04/2006; 61(2):186-201. DOI: 10.1016/j.marenvres.2005.09.001
Source: PubMed


The 5900 MW Younggwang nuclear power station on the west coast of Korea discharges warm water affecting coastal ecology [KORDI report (2003). Wide area observation of the impact of the operation of Younggwang nuclear power plant 5 and 6, No. BSPI 319-00-1426-3, KORDI, Seoul, Korea]. Here the spatial and temporal characteristics of the thermal plume signature of warm water are reported from a time series (1985-2003) of space-borne, thermal infrared data from Landsat and National Oceanic and Atmospheric Administration (NOAA) satellites. Sea surface temperature (SST) were characterized using advanced very high resolution radiometer data from the NOAA satellites. These data demonstrated the general pattern and extension of the thermal plume signature in the Younggwang coastal areas. In contrast, the analysis of SST from thematic mapper data using the Landsat-5 and 7 satellites provided enhanced information about the plume shape, dimension and direction of dispersion in these waters. The thermal plume signature was detected from 70 to 100 km to the south of the discharge during the summer monsoon and 50 to 70 km to the northwest during the winter monsoon. The mean detected plume temperature was 28°C in summer and 12°C in winter. The ΔT varied from 2 to 4°C in winter and 2°C in summer. These values are lower than the re-circulating water temperature (6-9°C). In addition the temperature difference between tidal flats and offshore (SSTtidal flats - SSToffsore) was found to vary from 5.4 to 8.5°C during the flood tides and 3.5°C during the ebb tide. The data also suggest that water heated by direct solar radiation on the tidal flats during the flood tides might have been transported offshore during the ebb tide. Based on these results we suggest that there is an urgent need to protect the health of Younggwang coastal marine ecosystem from the severe thermal impact by the large quantity of warm water discharged from the Younggwang nuclear power plant.

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    • "Moreover, remote sensing obtains information in digital format which can be easily integrated with the other geographic information or merely utilized for quantitative modeling (Lamaro et al., 2013). Studies were performed regarding the application of remote sensing and satellite imagery in the calculation of the WST (Mustard et al., 1999; Cherkauer et al., 2005; Zoran et al., 2005; Ahn et al., 2006; Alcantara et al., 2010; Gibbons and Wukelic 1989), in which researchers employed different sensors such as AASTR (Schneider et al., 2009), MODIS (Wan 2008; Chavula et al., 2009), AVHRR (Bussières and Granger 2007), Landsat (Oesch et al., 2008) ASTER )Steissberg et al., 2005( and SEVIRI (Nehorai et al., 2009) to estimate this parameter. To recapitulate these studies, we can state that more researches are required for spatial-temporal variation modeling of WST which facilitates the management and conservation of these ecosystems. "
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    ABSTRACT: Wetland Surface Temperature (WST) maps are an increasingly important parameter to understand the extensive range of existing processes in wetlands. The Wetlands placed in neighborhoods of agricultural and industrial lands are exposed to more chemical pollutants and pesticides that can lead to spatial and temporal variations of their surface temperature. Therefore, more studies are required for temperature modeling and the management and conservation of these variations in their ecosystem. Landsat 8 time series data of Sulduz region, Western Azerbaijan province, Iran were used in this study. The WST was derived using a mono-window algorithm after implementation of atmospheric correction. The NDVI (Normalized Differential Vegetation Index) threshold method was also employed to determine the surface emissivity (ελ). Our findings show that the WST experienced extensive spatial and temporal variations. It reached its maximum value in June and also experienced the highest mean in the same month. In this research, August (12.08.2013) had a lowest spatial standard deviation regarding surface temperature and June (28.06.2013) had the highest one. Wetlands' watersides adjacent to industrial zones have a higher surface temperature than the middle lands of these places. The map obtained from the WST variance over time can be exploited to reveal thermal stable and unstable zones. The outcome demonstrates that land use, land cover effectively contribute to wetland ecosystem health. The results are useful in the water management, preventive efforts against drying of wetland and evapotranspiration modeling. The approach employed in this research indicates that remote sensing is a valuable, low-cost and stable tool for thermal monitoring of wetlands health.
    01/2016; 66(1). DOI:10.17099/jffiu.26733
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    • "El seguimiento de la pluma térmica de plantas de generación de energía eléctrica se ha llevado a cabo mediante diferentes técnicas, entre las que destacan: mediciones en sitio con boyas oceanográficas, mediciones en cruceros oceanográficos, satélites radiométricos y la modelación numérica. El uso de satélites radiométricos es una técnica utilizada en el seguimiento y registro de la temperatura superficial del agua, y proporcionan una visión sinóptica de la temperatura en grandes extensiones de agua (Sanford et al, 1993; Donlon et al, 2002; Yu-Hwan et al, 2006). La modelación numérica se utiliza cada vez más en estudios de calidad del agua. "
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    XXV Congreso Latinoamericano De Hidráulica, Santiago de Chile; 08/2014
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    • "Studies were performed using these data for mapping water surface temperature, especially in places with marked variations – e.g. cooling channels of nuclear power plants, hot springs, etc. (Gibbons and Wukelic, 1989; Mustard et al., 1999; Cherkauer et al., 2005; Zoran et al., 2005; Ahn et al., 2006; Alcântara et al., 2010). All the energy exchanges between water mass and atmosphere take place within the very thin surface skin layer that can be remotely sensed. "
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    Advances in Space Research 09/2012; 51(3). DOI:10.1016/j.asr.2012.09.032 · 1.36 Impact Factor
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