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Wyświetlanie 1-3 z 3
Tytuł:
Towards Smart City: Influence of Air Pollution on the Local Community of the Zabrze City in Surveys and Field Research
Autorzy:
Ignac-Nowicka, J.
Powiązania:
https://bibliotekanauki.pl/articles/2065014.pdf
Data publikacji:
2018
Wydawca:
STE GROUP
Tematy:
smart city
life quality of urban residents
monitoring of air pollution
Opis:
The results of the conducted pilot research indicated the basic local problems of the residents of Zabrze city. The purpose of the next research was to answer the question: how to improve the quality of life of residents in a city with significant air pollution. Activities aimed at this goal are inscribed in the idea of "smart city". The article presents the results of pilot measurements of air pollution with toxic gases in the Zabrze city in the Silesian agglomeration (Poland). Field studies at selected locations in the city concerned measurements of nitrogen dioxide, sulphur dioxide and carbon dioxide. The aim of these studies was to identify areas of the city with significant air pollution with toxic gases in order to plan further detailed research. Made measurements showed the appearance of the local problem of accumulation of pollutants in several areas of the city. The results obtained were compared with surveys conducted among residents of the Zabrze city. The aim of the survey was to examine the respondents' awareness of: the location of areas with noticeable air pollution and health problems resulting from air pollution in the place of residence. The article also presents a plan of possible actions for the city of Zabrze within the framework of the "smart city" idea to improve the quality of life of the local city community in conditions of increased emission of gas pollution in the city.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2018, 1, 1; 845--850
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Smart City idea: use of peoples opinions on the environmental threats for intelligent management of the city
Autorzy:
Ignac-Nowicka, Jolanta
Zarebinska, Danuta
Kaniak, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/2064892.pdf
Data publikacji:
2019
Wydawca:
STE GROUP
Tematy:
smart city
atmospheric
air pollution
urban environment
management
air quality monitoring
Opis:
Managing the natural environment in the city is an important element of city management. Smart city authorities should take into account the opinion of residents about the comfort of living in the urban environment management strategy. A very important element of the natural environment in the city is air quality, which significantly affects the comfort of living in the city. The article presents surveys of opinions of the residents of a selected city in Silesia in Poland. The respondents' knowledge on the sources of air pollution in the city, the perceived health effects resulting from polluted atmospheric air and the expectations of residents towards the city authorities were examined using the anonymous questionnaire method. Residents' behavior in the situation of increased air pollution was also examined. On the basis of surveys, prophylactic pro-ecological activities were identified with the highest degree of acceptance of the local community as potential directions of urban environment management. The implementation of such activities, taking into account the opinions and preferences of the residents, is part of the co-management of the intelligent city.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2019, 2, 1; 140--150
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of neural networks to the prediction of gas pollution of air
Autorzy:
Pawul, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/2064392.pdf
Data publikacji:
2019
Wydawca:
STE GROUP
Tematy:
air quality monitoring
air pollution
artificial neural networks
prediction
monitorowanie jakości powietrza
zanieczyszczenie powietrza
sztuczne sieci neuronowe
prognozowanie
predykcja
Opis:
The issue of projecting the air pollution levels is quite essential from the viewpoint of the necessity to adopt specific prevention measures intended to reduce the pollution concentration in the air. One can apply certain machine learning methods, including neural networks, to build pollution concentration models. Neural networks are characterised by the fact that they can be used to solve the relevant problem when we face shortage of data, or we do not know the analytical relationship between input and output data. Consequently, neural networks can be applied in a number of problems. This paper discusses a possibility to apply neural networks to the prediction of selected gas concentrations in the air, based on the data originating from the measurement networks of the Polish State Environmental Monitoring System, combined with local meteorological data. Forecast results have been presented here for SO2, NO, NO2, and O3 in various locations. The author also discusses the accuracy of the respective forecasts and indicates the relevant contributing factors.
Źródło:
New Trends in Production Engineering; 2019, 2, 1; 515--523
2545-2843
Pojawia się w:
New Trends in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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