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Our study shows the importance of drinking water monitoring using simple but powerful visualization tools to better understand spatial variations in water quality. The paper reports Chernoff's Faces visualiza­tion approach applied for the classification of drinking water samples collected at twelve various districts of Gdańsk (Poland), over the period 1993-2000. A good visualization should give the viewer a rapid un­derstanding of the data and the phenomenon behind the data. The complex data matrix containig 1756 results of determination of disinfection by-products (THMs: CHCl3, CHBrCl2+C2HCl3, CHBr2Cl, CHBr3 and organohalogen compounds: CCl4, CH2Cl2, C2Cl4, C2H3Cl3) was successfully treated with Chernoff's ap­proach, yielding two different groups of similarity among the sampling sites, and reflecting different types of drinking water supplies (surface and groundwater).
Sandy sediments coming from three beaches of the southern Baltic Sea were collected and analyzed. Investigated beaches were divided according to strength of anthropogenic impact and degree of sheltering. The first beach was situated in Ustka on the eastern side of the mouth of the Słupia River, second in Czołpino and the last one in Puck. Core sediment samples were collected seasonally, depending on the influence of the sea water on the examined sediments. At each station, surface sediments (0-5 cm) were collected as well as sediments at the depth of 10-15 cm. The general content of organic matter, proteins, lipids, carbohydrates, organic carbon and total bacterial number were determined. The results of the conducted tests reveal, that anthropopressure, degree of sheltering, the depth where the collected sediments were taken and the direct influence of the sea water on the sediments have impact on the chemical composition of organic matter and bacterial number in beach sediments.
The capability of accumulating lead (Pb), zinc (Zn), nickel (Ni), cooper (Cu), manganese (Mn) and iron (Fe) by tree lichen species was compared. Samples of lichens were taken in the autumn of 2013, from Betula pendula Roth, Fraxinus excelsior L., Acer platanoides L., Acer Pseudoplatanus L., Populus sp. trees and other broad-leaved trees growing within the city limits of Słupsk. The sampling stations were located in housing estates, green urban parks, near streets with heavy traffic and close to industrial plants. The aim of the study was to evaluate the pollution of the municipal environment of Słupsk with selected heavy metals using for this purpose thalli of three lichen species: Hypogymnia physodes, Parmelia sulcata and Xanthoria parietina, and to compare their accumulative properties. The heavy metal content in lichens was determined by atomic absorption spectrometry. The highest concentration of heavy metals was discovered in lichens collected in the city centre, while the lowest concentrations were found in parks and green areas. The largest quantities of Ni and Pb were accumulated by the lichen species H. physodes, most Zn and Fe accumulated in the lichen X. parietina, whereas Mn accumulated in similar amounts in all the tested species. A strong direct proportional relationship between the content of Zn and Fe, Fe and Cu, Zn and Cu in thalli of lichens was revealed. Some similarity between the Pb-Cu and Pb-Fe correlations was found as well as that of Pb-Mn in thalli of P. sulcata and X. parietina, along with a series of statistically significant differences between the examined species of lichen related to pH and the volume of accumulated heavy metals in thalli. The most significant differences in the content of heavy metals in thalli assessed in series of pairwise comparisons including (i) H. physodes vs P. sulcata, (ii) P. sulcata vs X. parietina and (iii) H. physodes vs X. parietina were found for (i') Pb, Cu and Fe, (ii') Ni and (iii') Pb, Ni, Cu and Fe, respectively.
Approaches related to modeling chemical compound migrations in the environment are discussed. Models related to both closed and open systems in steady-state or non steady-state conditions are characterized. Methods of building the models and the review of the most important types of models with adequate exam­ples, as well as the results possible to achieve using these groups of models are presented. The review also contains the division of models with respect to the way of presenting chemical transport, the complication level and the range of modeled area. Risk evaluation, abiotic and biotic approaches are discussed as well. Special attention was put on the complexity of abiotic models based on the fugacity concept.
The Baltic Sea is a semi-enclosed brackish sea with only limited water exchange with the North Sea and, thus, the North Atlantic. This salty water reservoir with water residence time of approximately 25 years is contaminated with many inorganic and organic pollutants: VOCl (Volatile Organohalogen Compounds), HC (Petroleum Hydrocarbons), OPNP (Organophosphorus and Organonitrogenous Pesticides), OCP (Organochlorine Pesticides), PAH (Polycyclic Aromatic Hydrocarbons) and heavy metals. Our paper presents monitoring results and sea environmental pollution assessment of the Southern Baltic coastal zone- the area of the Gdańsk Bay, based on the analysis of sea water samples. A set of various analytes were determined: PAH (16 analytes), VOCl (6 analytes), HC (9 analytes), OPNP (8 analytes), OCP (5 analytes), heavy metals (Zn, Cd, Pb, Cu). The results were subjected to full statistical evaluation. An assessment of sea environment contamination was made by characterization of pollution sources and the definition of intercorrelations between them. The characterization of major statistically important correlations between 45 variables was performed with the use of principal component analysis technique. From the performed PCA it arose that the factor configuration was similar for all sampling points and in all cases 5 factors explain over 60% of the data variance, and the statistically significant loading factors are higher than 0.7 (with p=0.05). Additionally, analysis of variance and time series analysis were applied to define important differences between chemical species’ concentration levels in time and in accordance with sampling points’ geographical location. As a result of time series analyses carried through with consideration to sampling points, there were no statistically important differences discovered in trends of changes from 1996 up to 1999 for any of examined groups of compounds.
Two-dimensional variance analysis of the results of determination of NO₃⁻, SO₄²⁻, F⁻, Al³⁺, Cl⁻, NH₄⁺,PO₄³⁻, Fe³⁺, Ca²⁺, K⁺ and Mg²⁺, and pH and electrolytic conductivity of precipitation water samples collected in the Tricity area showed that transregional transport of pollutants affects air quality in this region. Over the large area of the Tricity agglomeration fluctuations in analyte concentrations in precipitation water samples are not affected on a statistically significant level by localizing sampling sites, but the area affected by transport direction of air mass movement.
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