The dynamics of motion in estuaries and other coastal water bodies

1979 ◽  
Vol 17 (7) ◽  
pp. 1585 ◽  
Author(s):  
Harry H. Carter ◽  
Tavit O. Najarian ◽  
Donald W. Pritchard ◽  
Robert E. Wilson
Keyword(s):  
2010 ◽  

This volume presents the Proceedings of the International Conference of the WADI project held in Malta, 5-8 November 2008, at the end of the project itself. The WADI project funded by the European Commission, was carried out from 2006 to 2008 by a consortium of researchers from European and Mediterranean countries, and was focused on coastal water bodies, aiming at integrating water management and the needs of all stakeholders. The Proceedings illustrate some of the outcomes of the WADI project that focused on case studies represented by water bodies in the Mediterranean coastal area.


2017 ◽  
Vol 114 (2) ◽  
pp. 664-670 ◽  
Author(s):  
Andreas C Bryhn ◽  
Peter H Dimberg ◽  
Lena Bergström ◽  
Ronny E Fredriksson ◽  
Johanna Mattila ◽  
...  

2013 ◽  
Vol 165 ◽  
pp. 1343-1348 ◽  
Author(s):  
Joel Azzopardi ◽  
Alan Deidun ◽  
Fabrizio Gianni ◽  
Adam Pierre Gauci ◽  
Berta Angulo Pan ◽  
...  

1985 ◽  
Vol 6 (1-11) ◽  
pp. 123-128 ◽  
Author(s):  
Lulz Drude de Lacerda ◽  
Wolfgang Christian Pfeiffer ◽  
Marlene Fiszman

2019 ◽  
pp. 119-128
Author(s):  
Kuz'ma Anatol'yevich Kirichenko ◽  
Tamara Pavlovna Pobezhimova ◽  
Sergey Grigor'yevich Kazanovsky ◽  
Natal'ya Aleksandrovna Sokolova ◽  
Elizaveta Sergeevna Kondrateva ◽  
...  

The fatty acid comparative essay of high aquatic plants: Typha latifolia L., Ceratophyllum demersum L. and Veronica anagallis-aquatica L. from water bodies of Baikalian region was carried out. For the first time this biochemical parameter of water form V. anagallis-aquatica was compared with that of coastal-water T. latifolia and submerged C. demersum. The fifteen individual molecules of fatty acids with a chain length from 12 to 22 carbon atoms have been identified by the method of gas liquid chromatography – mass spectrometry. The fatty acid composition of investigated species was different. Among the fatty acids saturated and unsaturated molecules was found, the most distributed fatty acids was saturated palmitic (С16:0), steric (С18:0) and unsaturated linoleic (С18:2 w6), α-linolenic (С18:3 w3). In total, the C16 and C18 acids in studied species accounted for 98%. Differences in the composition of fatty acids of the studied species are discussed from the standpoint of the characteristics of fatty acid metabolism depending on the habitat of plants and are considered as one of the mechanisms of their adaptation to late vegetation. Studies of the fatty acid composition of aquatic organisms contribute to the overall strategy of plant adaptation to changing environmental conditions and are important for the ecological and biochemical monitoring of the ecological status of water bodies.


Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1621
Author(s):  
Mohd Manzar Abbas ◽  
Assefa M. Melesse ◽  
Leonard J. Scinto ◽  
Jennifer S. Rehage

The size and distribution of Phytoplankton populations are indicators of the ecological status of a water body. The chlorophyll-a (Chl-a) concentration is estimated as a proxy for the distribution of phytoplankton biomass. Remote sensing is the only practical method for the synoptic assessment of Chl-a at large spatial and temporal scales. Long-term records of ocean color data from the MODIS Aqua Sensor have proven inadequate to assess Chl-a due to the lack of a robust ocean color algorithm. Chl-a estimation in shallow and coastal water bodies has been a challenge and existing operational algorithms are only suitable for deeper water bodies. In this study, the Ocean Color 3M (OC3M) derived Chl-a concentrations were compared with observed data to assess the performance of the OC3M algorithm. Subsequently, a regression analysis between in situ Chl-a and remote sensing reflectance was performed to obtain a green-red band algorithm for coastal (case 2) water. The OC3M algorithm yielded an accurate estimate of Chl-a for deep ocean (case 1) water (RMSE = 0.007, r2 = 0.518, p < 0.001), but failed to perform well in the coastal (case 2) water of Chesapeake Bay (RMSE = 23.217, r2 = 0.009, p = 0.356). The algorithm developed in this study predicted Chl-a more accurately in Chesapeake Bay (RMSE = 4.924, r2 = 0.444, p < 0.001) than the OC3M algorithm. The study indicates a maximum band ratio formulation using green and red bands could improve the satellite estimation of Chl-a in coastal waters.


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