The internal wave field in Sau reservoir : Observation and modeling of a third vertical mode

Water withdrawal from Mediterranean reservoirs in summer is usually very high. Because of this, stratification is often continuous and far from the typical two-layered structure, favoring the excitation of higher vertical modes. The analysis of wind, temperature, and current data from Sau reservoir (Spain) shows that the third vertical mode of the internal seiche (baroclinic mode) dominated the internal wave field at the beginning of September 2003. We used a continuous stratification two-dimensional model to calculate the period and velocity distribution of the various modes of the internal seiche, and we calculated that the period of the third vertical mode is ;24 h, which coincides with the period of the dominating winds. As a result of the resonance between the third mode and the wind, the other oscillation modes were not excited during this period

The role of surface vertical mixing in phytoplankton distribution in a stratified reservoir

We investigated convection caused by surface cooling and mixing attributable to wind shear stress and their roles as agents for the transport of phytoplankton cells in the water column by carrying out two daily surveys during the stratified period of the Sau reservoir. Green algae, diatoms, and cryptophyceae were the dominant phytoplankton communities during the surveys carried out in the middle (July) and end (September) of the stratified period. We show that a system with a linear stratification and that is subject to weak surface forcing, with weak winds , < 4 m S (-1) and low energy dissipation rate values of the order of 1028 m2 s23 or lower, enables the formation of thin phytoplankton layers. These layers quickly disappear when water parcels mix because there is a medium external forcing (convection) induced by the night surface cooling, which is characterized by energy dissipation rates on the order of , 5x10(-8)m2s(-3). During both surveys the wind generated internal waves during the entire diurnal cycle. During the day, and because of the weak winds, phytoplankton layers rise in the water column up to a depth determined by both solar heating and internal waves. In contrast, during the night phytoplankton mixes down to a depth determined by both convection and internal waves. These internal waves, together with the wind-driven current generated at the surface, seem to be the agents responsible for the horizontal transport of phytoplankton across the reservoir.

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1872 (A9).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

Variante(s) de titre : Bulletin de la Cour d'appel de Paris

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1870 (A7)-1871 (A8).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1867 (A4).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1875 (A12)-1876 (A13).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1868 (A5).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1872 (A9,N169)- (A9,N190).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1865 (A2).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1877 (A14,N265)-1879 (A14,N285).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1864/03/15 (A1,N1)-1865/02/15 (A1,N23).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1866 (A3).

Bulletin de la Cour impériale de Paris / publié sous le patronage de M. le premier président, de M. le procureur général et de M. le bâtonnier de l'Ordre des avocats ; [sous la direction de Victor Bournat]

1869 (A6).

Classification of textures seen from different distances and under varying illumination direction

Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image