Ultrashort nanopores of large radius can generate anomalously high salinity gradient power

2020 ◽  
Vol 353 ◽  
pp. 136613
Author(s):  
Wei-Cheng Huang ◽  
Jyh-Ping Hsu
Desalination ◽  
2019 ◽  
Vol 457 ◽  
pp. 8-21 ◽  
Author(s):  
Rafael Ortiz-Imedio ◽  
Lucia Gomez-Coma ◽  
Marcos Fallanza ◽  
Alfredo Ortiz ◽  
Raquel Ibañez ◽  
...  

Desalination ◽  
2017 ◽  
Vol 404 ◽  
pp. 291-303 ◽  
Author(s):  
Hyung Won Chung ◽  
Kishor G. Nayar ◽  
Jaichander Swaminathan ◽  
Karim M. Chehayeb ◽  
John H. Lienhard V

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Malin Olofsson ◽  
James G. Hagan ◽  
Bengt Karlson ◽  
Lars Gamfeldt

Abstract Aquatic phytoplankton experience large fluctuations in environmental conditions during seasonal succession and across salinity gradients, but the impact of this variation on their diversity is poorly understood. We examined spatio-temporal variation in nano- and microphytoplankton (> 2 µm) community structure using almost two decades of light-microscope based monitoring data. The dataset encompasses 19 stations that span a salinity gradient from 2.8 to 35 along the Swedish coastline. Spatially, both regional and local phytoplankton diversity increased with broad-scale salinity variation. Diatoms dominated at high salinity and the proportion of cyanobacteria increased with decreasing salinity. Temporally, cell abundance peaked in winter-spring at high salinity but in summer at low salinity. This was likely due to large filamentous cyanobacteria blooms that occur in summer in low salinity areas, but which are absent in higher salinities. In contrast, phytoplankton local diversity peaked in spring at low salinity but in fall and winter at high salinity. Whilst differences in seasonal variation in cell abundance were reasonably well-explained by variation in salinity and nutrient availability, variation in local-scale phytoplankton diversity was poorly predicted by environmental variables. Overall, we provide insights into the causes of spatio-temporal variation in coastal phytoplankton community structure while also identifying knowledge gaps.


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