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Abstract

A village on the outskirts of a city. An analysis and assessment of the west part of Inowrocław for the purposes of spatial planning, The article presents results of a research concerning the landscape of the west part of Uzdrowisko Inowrocław which is characterized by a rural origin and physiognomy, despite being located in the city. The goal of the paper was to identify the resources of that landscape, determine the pace of its transformation, its value, and indicate the possible directions of development. The research consisted in a landscape diagnosis concerning physiognomy aspects in various dimensions (composition, panoramic, and planning), taking advantage of methods used in landscape architecture and urban design. The execution allowed to formulate guidelines concerning the protection and formation of the researched landscape. The goal was also to determine the usefulness of the used model of research proceedings in practice, including indicating the possibilities of implementing the identified results in spatial planning on a local scale. The work has a case study character which conclusions may be helpful in analyzing similar areas and their landscapes.
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Abstract

Low frequency noise is one of the most harmful factors occurring in human working and living environment. Low frequency noise components from 20 to 250 Hz are often the cause of employee complaints. Noise from power stations is an actual problem for large cities, including Cairo. The noise from equipments of station could be a serious problem for station and for environmental area. The development of power stations in Cairo leads to appearing a wide range of gas turbines which are strong source of noise. Two measurement techniques using C-weighted along side the A-weighted scale are explored. C-weighting is far more sensitive to detect low frequency sound. Spectrum analysis in the low frequency range is done in order to identify a significant tonal component. Field studies were supported by a questionnaire to determine whether sociological or other factors might influence the results by using annoyance rating mean value. Subjects included in the study were 153 (mean = 36.86, SD = 8.49) male employees at the three electrical power stations. The (C-A) level difference is an appropriate metric for indicating a potential low frequency noise problem. A-weighting characteristics seem to be able to predict quite accurately annoyance experienced from LFN at workplaces. The aim of the present study is to find simple and reliable method for assessing low frequency noise in occupational environment to prevent its effects on work performance for the workers. The proposed method has to be compared with European methods.
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