Monitoring Suspended Particle Matter Using GOCI Satellite Data After the Tohoku (Japan) Tsunami in 2011

Minghelli, Audrey; Lei, Manchun; Charmasson, Sabine; Rey, Vincent; Chami, Malik

doi:10.1109/jstars.2019.2894063

Cited by 9 publications

(5 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results suggest that the virus−bacteria dynamics were disturbed by viral scavenging due to resuspended sediments and other particles discharged from the catchment to the bay. Given that the tsunami extensively caused high turbidity along the coast of the damaged area (Ikehara et al 2014, Minghelli et al 2019, the disturbance of virus−bacteria dynamics was likely widespread and exerted far-reaching im pacts on the functioning of the coastal ecosystem. One possibility is the suppression of nutrient regeneration driven by viruses (Wilhelm & Suttle 1999, Shelford et al 2012, which may lead to a reduction in primary production supported by the regenerated nitrogen (Shiozaki et al 2020).…”

Section: Discussionmentioning

confidence: 99%

“…This initial sedimentation event was followed by repeated generation of turbidity currents by aftershocks, which appeared to last over several weeks to months (Ikehara et al 2014). Therefore, the high turbidity condition that Fukuda et al (2015) observed 2−5 mo after the tsunami is likely a consequence of sediment resuspension caused by the aftershocks as well as prolonged riverine and atmospheric inputs of particles originating from the tsunami-derived debris and exposed soils and sediments, depending on meteorological conditions (Minghelli et al 2019). The inputs were probably enhanced by high-intensity reconstruction activities, including the tsunamidebris removal, land elevation, and the construction of sea walls and roads.…”

Section: Low Vbr Phenomenon In 2011mentioning

confidence: 99%

See 1 more Smart Citation

Disturbed virus-bacteria dynamics in Otsuchi Bay (Japan) after the mega-earthquake and tsunami in March 2011

Nagata¹,

Yang²,

Fukuda³

2022

Aquat. Microb. Ecol.

View full text Add to dashboard Cite

On 11 March 2011, a mega-earthquake followed by a huge tsunami hit a large area of the Pacific coast of Tohoku, Japan, and caused widespread disturbances in marine ecosystems; however, the impacts on virus-bacteria systems have not yet been elucidated. To investigate whether virus-bacteria interactions were affected by the earthquake and tsunami, we analyzed time series data of viral and bacterial abundances in Otsuchi Bay. Data were collected every 2 mo, from July 2011 to September 2015. Bacterial abundance exhibited a recurrent seasonal cycle with high abundance during the warm season. The seasonal trend of viruses generally followed that of the bacteria, yielding an average virus to bacteria ratio (VBR) of 10.8 ± 3.6 (mean ± SD; n = 432). A notable exception was found at the first 2 sampling times (July and September 2011) when the VBR was consistently low, with an average value of 5.9 ± 1.2 (n = 32). The average VBR during these time periods was substantially lower than the VBR observed in the same season of subsequent years. An analysis of the subset of data collected in the warm season of 2011 and 2012 revealed that the viral abundance and VBR were negatively correlated with turbidity. These results support the hypothesis that viruses were scavenged by non-host particles from the resuspended sediments and damaged catchment. The earthquake and tsunami thus exerted a prolonged impact, over several months, on the virus-bacteria dynamics in Otsuchi Bay.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Low Vbr Phenomenon In 2011mentioning

confidence: 99%

Disturbed virus-bacteria dynamics in Otsuchi Bay (Japan) after the mega-earthquake and tsunami in March 2011

Nagata¹,

Yang²,

Fukuda³

2022

Aquat. Microb. Ecol.

View full text Add to dashboard Cite

show abstract

“…Hence, satellite ocean-color remote-sensing data provides a unique approach to improve the understanding of the ecosystem dynamics and the development of the ecological modelling [6][7][8] . Then many international scholars have applied remote sensing data to study the ecological environmental parameters, for example, chlorophyll-a [9][10][11] , SPM 12 , CDOM 13 , etc. In this paper, we used the MODIS data and Quickscat wind data from 2003 to 2009 to analysed the spatial and temporal distribution of Bohai Sea.…”

Section: Introductionmentioning

confidence: 99%

Research on the chlorophyll-a distribution in Bohai Sea based on the MODIS data

wang

zhang

et al. 2022

Third International Conference on Computer Science and Communication Technology (ICCSCT 2022)

View full text Add to dashboard Cite

Chlorophyll-a (Chla) concentration data is one of the key parameters for the evaluation of water eutrophication and primary productivity. Compared with traditional monitoring methods, it has the advantages of quasi-real-time, largescale and long-term by using remote sensing data to retrieve Chla concentration data. Analyzing the temporal and spatial distribution of Chla concentration and its long time series changes will help relevant institutions to comprehensively evaluate and control the water environment. However, there is no consensus on the long-term change mechanism of Chla concentration in coastal waters. In this study, the Modis data from 2003 to 2009 was used to retrieve the Chla concentration data in the Bohai Sea and its temporal and spatial distribution characteristics were analyzed. In addition, the potential relationship between wind speed and Chla concentration was analyzed using Quick Scatterometer wind field data over the same time period. The results showed that there were different seasonality characteristics in different dynamic regions. The concentration of Chla was the lowest in summer in the Bohai Sea, and it showed an obvious interannual variation trend in summer and autumn in Laizhou Bay and Bohai Bay. The comparison results of wind speed and Chla showed that the seasonal changes of wind speed and Chla were consistent to some extent. It should be considered that the wind field of sea surface was one of the influencing factors of Chla change mechanism in the shallow sea ecological environment system.

show abstract

“…After the cataclysm, the scientific community was mobilized to evaluate the impact of the tsunami and the nuclear accident on the environment and the health of the population. The AMORAD (Amélioration des modèles de prévision de la dispersion et d'évaluation de l'impact des radionucléides au sein de l'environnement) project, led by the French institute IRSN (Institut de Radioprotection et de Sureté Nucléaire), aims at improving radionuclide dispersion modeling and assessment of its environmental impact on both the marine and terrestrial environment [35]. Another goal of the AMORAD project is to monitor the evolution of the shoreline after the tsunami.…”

Section: Introductionmentioning

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

Self Cite

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

Monitoring Suspended Particle Matter Using GOCI Satellite Data After the Tohoku (Japan) Tsunami in 2011

Cited by 9 publications

References 44 publications

Disturbed virus-bacteria dynamics in Otsuchi Bay (Japan) after the mega-earthquake and tsunami in March 2011

Disturbed virus-bacteria dynamics in Otsuchi Bay (Japan) after the mega-earthquake and tsunami in March 2011

Research on the chlorophyll-a distribution in Bohai Sea based on the MODIS data

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

Contact Info

Product

Resources

About