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EN
In this study, we investigate the changes in the concentrations of suspended particulate matter (PM10 and PM2.5) and selected gaseous pollutants (VOCs, H2S) in the atmospheric air inside and outside a 9-story building, which is intended primarily for the teaching activities. The purpose was to determine whether the air quality inside the building is directly dependent on the outside air quality. The analysis also included the influence of the height of the building, its location and environment, as well as meteorological conditions. No clear correlation was found between the measured parameters inside and outside the building. The height above ground (the floor on which the measurements were made) was found to have a significant influence on the concentration of each pollutant. Wind direction was also found to have a very important impact on the air quality inside the building. A strong relationship was observed on the leeward side between the concentration of impurities on the inside and outside of the building.
EN
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.
EN
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.
EN
In Poland and in the world is conducted air monitoring in order to care for the atmospheric air. Thus, it is possible to develop of appropriate plans of improvement air quality in certain areas. Unfortunately, the number of stationary equipment in large cities is usually insufficient. For example, in Warsaw under the State Environmental Monitoring, information on the concentrations of pollutants in the air provide only 8 automatic stations and 3 manual stations, of which only 5 stations belong to the Mazovia Voivodship Inspectorate for Environmental Protection. 11 monitoring stations in the metropolitan area of 517 km2, is the number that is not able to provide an accurate measurement of air quality. In the article, on the example of Warsaw, is presented the concept of mobile network devices for air monitoring, from which data could complement to those from the fixed stations. The article sets out the measured substances, estimated cost of mobile network devices, and the choice of means of transport to move measuring devices.
PL
W artykule przedstawiony jest projekt mobilnego systemu pomiarowego funkcjonującego w ramach koncepcji tak zwanego „inteligentnego miasta”. Jednym z kluczowych czynników kształtujących jakość życia na obszarze metropolii jest skład i parametry powietrza. Wiadomo, że w wielu polskich aglomeracjach, dopuszczalne stężenia zanieczyszczeń powietrza są przekraczane. Powszechnie prowadzi to do licznych i poważnych problemów zdrowotnych wśród mieszkańców. Mobilny system rozproszony do pomiarów stanu powietrza byłby narzędziem do analizy źródeł tych problemów i mógłby pełnić rolę informacyjna zarówno dla lokalnej społeczności jak i dla władz miasta.
EN
A project of a mobile measurement system functioning as a part of a "smart city" is presented in this paper. One of the key factors shaping the quality of life in the urban area is composition and parameters of the air. It is widely known than in many Polish cities allowable concentrations of air pollutants are exceeded. Generally, it leads to numerous and serious health problems in the population [1]. In the concept presented, measurements of environmental factors are based on mobile, multisensor measurement devices. The measurements are simultaneously taken in many points. The mobility of measurement devices can be achieved by attaching them to public transportation or similar vehicles such as cabs or public (rented) bicycles (Fig. 2). The data processing should be done with IT back-end. Based on a data-centric approach it should provide features such as: gathering, integration, processing, modeling, visualization and providing insight to information about the state and changes of the air quality in the city. IT and a computational system by integrating data from mobile sources are a tool in decision making process performed by the authorities responsible for city development and current functioning. Thanks to deployment of this solution, strategic decisions could include actions aimed at improving the quality of life of city residents.
PL
W pracy przedstawiono wyniki pomiarów natężenia ruchu pojazdów w przekroju jednej z bardziej obciążonych ruchem arterii komunikacyjnych Warszawy oraz pomiarów monitoringu jakości powietrza i podstawowych parametrów meteorologicznych. W celu precyzyjnego wyjaśnienia mechanizmu powiązania stężeń zanieczyszczeń powietrza z natężeniem ruchu i czynnikami meteorologicznymi na podstawie zebranych danych wykonano modele regresji wielokrotnej.
EN
Paper presents the results of vehicles density measurement made across one of the busiest road in Warsaw, Poland and air quality monitoring results as well as selected meteorological parameters. Collected data were used to build the multiple regression models in order to explain precisely the mechanism of the interrelation between air pollutants concentration, traffic density and meteorological conditions.
PL
Praca prezentuje wyniki badań sprawności wentylacyjnej płuc przeprowadzonych w latach 2005-2006 wśród mieszkańców jednej z silniej obciążonych ruchem ulic Warszawy, przy uwzględnieniu wyników grupy kontrolnej, którą stanowili mieszkańcy obszarów pozamiejskich o niskich poziomach zanieczyszczeń powietrza. Stosując modele regresji logistycznej, oszacowano również ryzyko zachorowania z powodu przewlekłej obturacyjnej choroby płuc (POChP) przy uwzględnieniu wybranych czynników.
EN
The article presents the pulmonary function test results made in 2005- 2006 among the inhabitants of one of the most busy roads in Warsaw, Poland. The results of tests made among rural area citizens (where the air pollutants concentrations were lower) were also taken into consideration. The rural area inhabitants were the control group. Using the logistic regression models, the risk of chronic obstructive pulmonary disease (COPD), taking selected factors into account, was also evaluated.
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