Bulletin de l'armée d'occupation du Palatinat

1919/01/05 (N1).

Bulletin de l'armée d'occupation du Palatinat

1919/04/20 (N16).

Bulletin de l'armée d'occupation du Palatinat

1919/02/23 (N8).

Bulletin de l'armée d'occupation du Palatinat

1919/05/11 (N19).

Bulletin de l'armée d'occupation du Palatinat

1919/02/09 (N6).

Bulletin de l'armée d'occupation du Palatinat

1919/02/02 (N5).

Bulletin de l'armée d'occupation du Palatinat

1919/03/30 (N13).

Bulletin de l'armée d'occupation du Palatinat

1919/03/09 (N10).

Bulletin de l'armée d'occupation du Palatinat

1919/03/02 (N9).

Pedological characterization and land use and occupation: influences on water quality in a watershed located in the zona da mata (MG)

In order to verify the influence of class and use and occupation of land on water quality, it was performed the characterization and analyzes of land use and monitoring of seven springs inserted in a watershed located in the rural of Viçosa city - Minas Gerais (MG) state, in Brazil. Through soil analyzes, carried out in five different profiles, it was possible to identify three distinct pedological classes: Argisol, Cambisol and Latosol. Furthermore, the concentrations of Fe, Mn, Cu, Zn, Cr, Cd, Pb and Ni were identified in each of the horizons in the considered profiles. Water samples were collected and analyzed monthly, over eight months, twenty two parameters of water quality. Comparing the results of each survey, it was possible to identify a relation between water quality and land use in the round of the springs, considering color, BOD, DO, E. coli and Mn as the most affected parameters, influenced mainly by soil characteristics and the presence of a large percentage of pasture in the study area.

Mapping of use and occupation of the soil and irrigation water quality in the city of Salto do Lontra-Paraná, Brazil

The objective of this study consisted on mapping the use and soil occupation and evaluation of the quality of irrigation water used in Salto do Lontra, in the state of Paraná, Brazil. Images of the satellite SPOT-5 were used to perform the supervised classification of the Maximum Likelihood algorithm - MAXVER, and the water quality parameters analyzed were pH, EC, HCO3-, Cl-, PO4(3-), NO3-, turbidity, temperature and thermotolerant coliforms in two distinct rainfall periods. The water quality data were subjected to statistical analysis by the techniques of PCA and FA, to identify the most relevant variables in assessing the quality of irrigation water. The characterization of soil use and occupation by the classifier MAXVER allowed the identification of the following classes: crops, bare soil/stubble, forests and urban area. The PCA technique applied to irrigation water quality data explained 53.27% of the variation in water quality among the sampled points. Nitrate, thermotolerant coliforms, temperature, electrical conductivity and bicarbonate were the parameters that best explained the spatial variation of water quality.

Occupation de Constantinople par les Alliés, à bord d'un navire de guerre anglais, la femme du fils aîné du sultan : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 58870