scholarly journals Insights into brine dynamics and sea ice desalination from a 1-D model study of gravity drainage

2013 ◽  
Vol 118 (7) ◽  
pp. 3370-3386 ◽  
Author(s):  
Philipp J. Griewank ◽  
Dirk Notz
Keyword(s):  
Sea Ice ◽  
Tellus B ◽  
1996 ◽  
Vol 48 (1) ◽  
pp. 13-32 ◽  
Author(s):  
TERJE BERNTSEN ◽  
IVAR S. A. ISAKSEN ◽  
WEI-CHYUNG WANG ◽  
XIN-ZHONG LIANG

2016 ◽  
Vol 121 (3) ◽  
pp. 1931-1952 ◽  
Author(s):  
Torge Martin ◽  
Michel Tsamados ◽  
David Schroeder ◽  
Daniel L. Feltham

2002 ◽  
Vol 17 (4) ◽  
pp. 257-266 ◽  
Author(s):  
Carel G.M. Meskers ◽  
Frans C.T. van der Helm ◽  
Piet M. Rozing
Keyword(s):  

1991 ◽  
Vol 15 ◽  
pp. 125-131 ◽  
Author(s):  
Martin O. Jeffries

Two sea-ice layers, one measured as 9 m thick, the other at least 12 m thick and estimated to be 24.5 m thick, have been located by ice core drilling in the west Ward Hunt Ice Shelf. To examine the preservation of physical-structural characteristics over long time intervals, the crystal structure and brine volumes in the sea ice, which possibly dates back to about 3000 BP, have been studied. The structural characteristics are immediately recognizable as those of undeformed congelation sea ice accreted by Stefan growth. Brine volumes in the ancient sea ice are higher than those in modern multi-year ice at the same temperature. The preservation of brine over a time span of hundreds to thousands of years is attributed to an absence of surface meltwater to effect brine flushing and the very slow, even negligible action of gravity drainage, brine pocket migration and brine expulsion. The congelation structures indicate that sea ice can grow by the Stefan accretion mechanism to thicknesses exceeding the equilibrium thickness (2.5–5 m) of most undeformed multi-year ice. The observed physical-structural characteristics of the Ward Hunt sea ice strongly suggest that many of the properties attained by sea ice are permanent and not affected by slow-acting physical processes.


Author(s):  
Aditya Rajesh ◽  
Haidas Pai ◽  
Victor Roy ◽  
Subhasis Samanta ◽  
Sabyasachi Ghosh

CoVID-19 is spreading throughout the world at an alarming rate. So far it has spread over 200 countries in the whole world. Mathematical modelling of an epidemic like CoVID-19 is always useful for strategic decision making, especially it is very useful to gain some understanding of the future of the epidemic in densely populous countries like India. We use a simple yet effective mathematical model SIR(D) to predict the future of the epidemic in India by using the existing data. We also estimate the effect of lock-down/social isolation via a time-dependent coefficient of the model. The model study with realistic parameters set shows that the epidemic will be at its peak around the end of June or the first week of July with almost 108 Indians most likely being infected if the lock-down relaxed after May 3, 2020. However, the total number of infected population will become one-third of what predicted here if we consider that people only in the red zones (approximately one-third of India's population) are susceptible to the infection. Even in a very optimistic scenario we expect that at least the infected numbers of people will be of the order of 107.


2013 ◽  
Vol 40 (2) ◽  
pp. 307-311 ◽  
Author(s):  
David W. Rees Jones ◽  
M. Grae Worster

1974 ◽  
Vol 13 (67) ◽  
pp. 109-120 ◽  
Author(s):  
G. F. N. Cox ◽  
W. F. Weeks

The salinity distribution in multi-year sea ice is dependent on the ice topography and cannot be adequately represented by a single average profile. The cores collected from areas beneath surface hummocks generally showed a systematic increase in salinity with depth from 0‰ at the surface to about 4‰ at the base. The cores collected from areas beneath surface depressions were much more saline and displayed large salinity fluctuations. Salinity observations from sea ice of varying thicknesses and ages collected at various Arctic and sub-Arctic locations revealed a strong correlation between the average salinity of the ice and the ice thickness h. For salinity samples collected from cold sea ice at the end of the growth season, this relationship can be represented by two linear equations: 14.24— 19.39h (h ≤ 0.4 m); = 7,88— 1.59h (h 0.4m). It is suggested that the pronounced break in slope at 0.4 m is due to a change in the dominant brine drainage mechanism from brine expulsion to gravity drainage. A linear regression for the data collected during the melt season gives = 1.58 + 0.18 h. An annual cyclic variation of the mean salinity exists for multi-year sea ice. The mean salinity reaches a maximum at the end of the growth season and a minimum at the end of the melt season.


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