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Number of results: 4
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Abstract

The paper presents an impact of the metallurgical wastes dumping site on the following parts of the environment: air, soil and surface waters. Some of the methods used to prevent wastes interactions were showed. The results of the metallurgical wastes leachate samples research, in which toxic metal ions have been found, are presented results of examinations performed on water extracts derived from two types of metallurgical wastes were given. The chemical analysis of water extracts indicate exceeded concentration of toxic metals, such as: lead, arsenic, barium and others. Preliminary results of some metals elimination from the water extracts with PUROLITE ion-exchangers were also presented. The utilised acidous cationit with Na+ groups exchanges the Ba2+ ions in almost 90%, similar to S 930 ionit with chelating groups (Table 5 and 7). Whereas the anionit with hydroxyl groups removes the arsenic ions(V) from the solution with the 60% efficacy (Table 7).

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Authors and Affiliations

Stanisława Sanak-Rydlewska
Agnieszka Gala
Łukasz Wajda
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Abstract

This study aimed to investigate how great cormorants and grey herons affect the density and trophic diversity of soil nematodes under breeding colonies located in Stawy Raszyńskie Nature Reserve (central Poland). Soil samples from the colonies were compared to control samples from adjacent areas unaffected by birds. Samples were taken at each site (two colonies and two relevant control sites) to a depth of 20 cm, and the soil cores were split into topsoil (0–10 cm) and subsoil (10–20 cm). A modified Baermann method was used to extract nematodes from the soil. The soil under nests supported more abundant nematode communities, but with a lower trophic diversity compared to the control sites. The cormorants had a greater impact on nematodes than the herons. We found that the external nitrogen input, the higher organic matter content and abundance of ammonifying bacteria, as well as the lower soil pH under the colonies than in the control sites, affected the nematode trophic groups in different ways. Compared to the control sites, there were significantly more bacterivorous nematodes but fewer herbivorous nematodes under the colonies. No predatory nematodes were found under the bird colonies and, in the case of the cormorant colony, no omnivorous nematodes. No significant differences in the abundance of fungivorous nematodes between the impact and the control plots were noticed. The results indicate that allochthonous input under bird colonies promotes microbial activity and the most opportunistic trophic group of nematodes, which may at least temporarily enhance decomposition and mineralisation processes and consequently affect nutrient cycling in the wetland soil.
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Authors and Affiliations

Dawid Kozacki
1
ORCID: ORCID
Krassimira Ilieva-Makulec
2
ORCID: ORCID
Marek Hryniewicz
3
ORCID: ORCID
Grzegorz Makulec
2

  1. National Institute of Horticultural Research, Department of Plant Protection, Konstytucji 3 Maja 1/3, 96-100 Skierniewice, Poland
  2. Cardinal Stefan Wyszynski University in Warsaw, Institute of Biological Sciences, Warsaw, Poland
  3. Institute of Technology and Life Sciences – National Research Institute, Falenty, Poland
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Abstract

The article aims to investigate the problem of desemanticizing of phrasemes containing names of body parts, and at the same time referring to the emotional sphere. Within the three main research areas (face, heart and body as a whole), and based on three types of semes (spatial, physical and functional), the analysis allows to determine the participation of individual sems in the process of motivating the indicated phraseological relationships.

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Authors and Affiliations

Edyta Bocian
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Abstract

This paper presents a new test method able to infer - in periods of less than 7 seconds - the refrigeration capacity of a compressor used in thermal machines, which represents a time reduction of approximately 99.95% related to the standardized traditional methods. The method was developed aiming at its application on compressor manufacture lines and on 100% of the units produced. Artificial neural networks (ANNs) were used to establish a model able to infer the refrigeration capacity based on the data collected directly on the production line. The proposed method does not make use of refrigeration systems and also does not require using the compressor oil.
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Authors and Affiliations

Rodrigo Coral
Carlos A. Flesch
Cesar A. Penz
Maikon R. Borges

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