Horizontal and vertical distributions of 137Cs in seabed sediments around the river mouth near Fukushima Daiichi Nuclear Power Plant

Tsuruta, Takao; Harada, Hisaya; Misonou, Toshiharu; Matsuoka, Toshifumi; Hodotsuka, Yasuyuki

doi:10.1007/s10872-017-0439-8

Cited by 16 publications

(12 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The comparison result varied widely. This may have been due to the heterogeneous 137 Cs concentration in the coastal areas, as stated by past research 7,22,23 . The comparison result between the interpolation map, which is shown in Fig.…”

Section: Validation Of Towed Radiation Surveymentioning

confidence: 82%

“…The radiocesium in the sediment more than 10 km off the coast of Fukushima is spread approximately 10 cm from the sediment surface, as indicated by considerable eld data 6,20,21 . The radiocesium depth pro le in nearshore and estuary areas is complex; a radiocesium peak has been observed at a depth of over 50 cm 7 . Towed radiation survey cannot evaluate all types of radiocesium depth pro les.…”

Section: Calibrationmentioning

confidence: 99%

“…Offshore soil distribution of Fukushima Tsuruta et al (2017) created a geological map of the Ukedo River estuary, which is located 7 km north of the FDNPP 7 . In the national project covered by the present study, a bathymetric survey of approximately 500 km 2 at Fukushimaoff-shore was conducted using the technique of Tsuruta et al (2017) 7 . A bathymetric survey using sonic prospecting was performed to visualize the characteristics of the seabed sediment from 2013 to 2020.…”

Section: Mesh Averaging and Interpolationmentioning

confidence: 99%

“…Approximately 1-2% of the 137 Cs in the sea (0.2 ± 0.05 PBq) was deposited onto the sediment 6 . There is a larger amount of deposited radiocesium in seabed sediment near river mouths than that in pelagic areas, and radiocesium is distributed deeply throughout the sea oor 7 . Otosaka (2017) estimated that > 43% of 137 Cs in the surface sediment around the FDNPP was transported to deeper sediment layers via vertical mixing of sediments from March 2011 to the end of 2015 8 .…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Visualization of Radiocesium Distribution in Surface Layer of Seafloor Around Fukushima Daiichi Nuclear Power Plant

Sanada

Urabe²,

Misonou

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Large quantities of volatile radionuclides were released into the atmosphere and the hydrosphere following the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident on March 11, 2011. Monitoring of radiocesium in sediment is important for evaluating the behavior of radiocesium in the environment and its effect on aquatic organisms. In this study, the radiocesium distribution in the surface sediment around the FDNPP was visualized as a radiocesium map using periodical survey data from a towed gamma-ray detection system. The uncertainty of the radiocesium map was evaluated via comparison with a large amount of sediment core sample data. The characteristics of the radiocesium distribution were examined considering the seafloor topography and a geological map, which were obtained via acoustic wave survey. The characteristics of the formation of 137Cs anomaly at the estuaries were analyzed using a contour map of 137Cs concentration combined with water depth. Validation of the created map showed that it was comparable with actual sediment core samples. The map generated using the towed radiation survey depicted the 137Cs concentration distribution as the position resolution of a 1 km mesh. Finally, the 137Cs concentration decreased with time in consideration of such uncertainty.

show abstract

Section: Validation Of Towed Radiation Surveymentioning

confidence: 82%

Section: Calibrationmentioning

confidence: 99%

Section: Mesh Averaging and Interpolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Visualization of Radiocesium Distribution in Surface Layer of Seafloor Around Fukushima Daiichi Nuclear Power Plant

Sanada

Urabe²,

Misonou

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Considering that the tsunami has induced a subsidence of 37 cm in this area [43], the difference of sea level δh is finally of h 2 − h 1 + 0.37. The slope at the shoreline was produced by a bathymetric survey [44] with a resolution of 2-3 m and an accuracy of 2%. The bathymetric survey was acquired after the tsunami in 2013 but, because this map was only used to calculate the slope at the shoreline, the subsidence correction of the map was of no use.…”

Section: Methodsmentioning

confidence: 99%

Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method

Minghelli

Spagnoli

Lei³

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

Foam is often present in satellite images of coastal areas and can lead to serious errors in the detection of shorelines especially when processing high spatial resolution images (<20 m). This study focuses on shoreline extraction and shoreline evolution using high spatial resolution satellite images in the presence of foam. A multispectral supervised classification technique is selected, namely the Support Vector Machine (SVM) and applied with three classes which are land, foam and water. The merging of water and foam classes followed by a segmentation procedure enables the separation of land and ocean pixels. The performance of the method is evaluated using a validation dataset acquired on two study areas (south and north of the bay of Sendaï—Japan). On each site, WorldView-2 multispectral images (eight bands, 2 m resolution) were acquired before and after the Fukushima tsunami generated by the Tohoku earthquake in 2011. The consideration of the foam class enables the false negative error to be reduced by a factor of three. The SVM method is also compared with four other classification methods, namely Euclidian Distance, Spectral Angle Mapper, Maximum Likelihood, and Neuronal Network. The SVM method appears to be the most efficient to determine the erosion and the accretion resulting from the tsunami, which are societal issues for littoral management purposes.

show abstract

Seawater, biota and sediment partitioning of 137Cs in the east coast of Peninsular Malaysia

Mahmood

Yii

Tugi

et al. 2019

J Radioanal Nucl Chem

View full text Add to dashboard Cite

Horizontal and vertical distributions of 137Cs in seabed sediments around the river mouth near Fukushima Daiichi Nuclear Power Plant

Cited by 16 publications

References 22 publications

Visualization of Radiocesium Distribution in Surface Layer of Seafloor Around Fukushima Daiichi Nuclear Power Plant

Visualization of Radiocesium Distribution in Surface Layer of Seafloor Around Fukushima Daiichi Nuclear Power Plant

Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method

Seawater, biota and sediment partitioning of 137Cs in the east coast of Peninsular Malaysia

Contact Info

Product

Resources

About