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Fractionation of sewage sludge colloids has been achieved using the split-flow-thin (SPLITT) fractionation technique. It reveals that the majority of organic carbon as well as heavy metals is carried by particles smaller than 1 μm. Optimization of volumetric flowrates and application of full-feed depletion mode of SPLITT fractionation allows concentrating the smallest colloids. Additionally, HPLC and ¹³C NMR analyses has been performed to characterize the organic colloids. The ¹³C NMR spectrum confirms that smaller fraction scontained elevated contents of aliphatic, aromatic and carboxylic groups characteristic of humic compounds. HPLC analysis separates two fractions of substances and compares obtained chromatograms with separation of the humic standard.
Soils and ground waters have been extensively exposed to pollution by heavy metals from various anthropogenic sources. The presence of these metals in soils poses a significant environmental hazard, and one of most difficult contamination problems to solve. Description of some sorption and migration phenomena involving Pb, Zn, Ni and Cu in the surface layer of soil and sewage sludge compost was the primary objective of this work. A wide range of pH (3.0 - 5.5) of simulated acid rains, used to study the elution of metals from these matrices allowed a qualitative description of these metals' behaviour.
Environmental monitoring of selected metals was performed using biota and soil samples. Sampling was carried out during the period March-May and October-November. For the isolation of these analytes, conventional extraction and microwave mineralization techniques were applied. Atomic Absorption Spectroscopy (AAS) equipped with Graphite Furnace (GF) was used to determine heavy metals and macroelements. The obtained data were compared with the respective values recommended by the Polish Standards. Popular bioindicators were used to estimate the level of pollution by heavy metals of Torun, Poland. Application of the established sampling procedures for environmental samples and determination methods for xenobiotics can be successfully applied for the purpose of routine analyses in biomonitoring.
Research on soil microorganisms associated with plant roots (endophytes) and their outside habitats (rhizosphere, soil) under exposure to high concentrations of heavy metals in the environment may contribute to an increased knowledge about the effects of unfavorable pollutants in the natural ecosystem and improve the efficiency of remediation processes of degraded soils. The main goal of our study was to evaluate properties of microbial populations inhabiting different but spatially closed habitats: interior of the tree roots – endophytes (Betula pendula L. and Alnus glutinosa L.), rhizosphere and soil not influenced by plant roots at two heavy metal polluted areas in southern Poland where the content of cadmium, lead and zinc ranged 9.2–14.9, 26.2–75.1 and 1080–1559 mg∙kg–1 of dried soil, respectively. In our experiment, we analyzed their density as well as determined the total metabolic activity and ability for utilization of different carbon sources. The density of endophytes (5.76–7.16 log10 c.f.u. × g dw–1) was higher than the density of bacteria inhabiting outside habitats – the rhizosphere and soil (5.43–5.91 and 5.08–5.57 log10 c.f.u. × g dw–1, respectively) and was not affected by heavy metal content. However, the total metabolic activity of endophytic populations was strongly influenced by the physicochemical properties of the soil and was significantly lower at more contaminated site. In general, the metabolic activity of endophytes was ~15 times lower than the activity of rhizobacteria and at the same level or lower than the activity of soil microorganisms. Discriminant analysis revealed a higher utilization of α-Cyclodextrin and D-Xylose by microorganisms isolated from more polluted test site. The use of an artificial neural network (ANN) followed by principal component analysis (PCA) allowed the distinguishing of preferences in the utilization of carbon sources by microorganisms due to tree species but not the zone of isolation – endophytes, rhizosphere, soil. Our study revealed no significant impact of the metal concentrations present in the soil on the density of microorganisms (bacteria and fungi) inhabiting three analyzed zones (interior of the roots, rhziosphere, soil); however, their total metabolic activity was decreased in more contaminated site. Since the density of endophytes was higher compared to the number of bacteria present in the outside habitats (rhizosphere and soil), and their total metabolic activity was in general lower, we suggest a high specialization of microorganisms associated with the cellular spaces of plant roots compared to other microbial populations.
This contribution presents the current state of the environment in the largest river basin of West Ukraine, the Dniester, on the background of the total river system of Ukraine. According to the results of the hydroand lithochemical investigations performed during the period of 1995-2001, the Dniester River system is in a satisfactory state according to total macrocomponents composition, nitric compounds and heavy metals content. But ground waters of the region are regionally polluted by nitrate-ions, thanks to the wide use of mineral fertilizers, wastewaters of animal farms and municipal sewage. Surface waters of the Dniester River, its tributaries and the Dniester Reservoir are strongly regionally polluted by phenols and oil-products, that may be connected with man-made as well as natural factors.
Soil is a major reservoir for contaminants as it posseses an ability to bind various chemicals. These chemicals can exist in various forms in soil and different forces keep them bound to soil particles. It is essential to study these interactions because the toxicity of chemicals may strongly depend on the form in which they exist in the environment. Another thing is that soil variability and some environmental properties (e.g. climate factors) may change equilibrium found in soil and cause leaching of trace toxic elements like heavy metals tightly bound to soil particles. Mathematical and computer modeling help us with understanding processes occurring in soils. A number of models are being developed now which can quantitatively predict movements and sorption of heavy metals in soil with good accuracy. However, investigations for determining chemical properties of soil, heavy metal interactions, should continue because a lot of questions about this strongly heterogenic matrix is still not answered.
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