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PL
W związku z tym, że większość ludzi spędza w pomieszczeniach 80 - 90% czasu, bardzo istotne jest zrozumienie mechanizmu transportu zanieczyszczeń pomiędzy wnętrzem i otoczeniem budynku. Oczekuje się, że skuteczna wymiana powietrza w budynku pozwoli na utrzymanie dobrej jakości powietrza w pomieszczeniu, m.in. przez ograniczenie stężenia dwutlenku węgla, wilgotności powietrza, zanieczyszczenia chemicznego itp. Jednocześnie, w okresach bardzo dużego stężenia pyłów zawieszonych (PM) w atmosferze, zamierzona wymiana powietrza powoduje wzrost stężenia pyłów wewnątrz pomieszczenia. W artykule przeanalizowano wpływ warunków zewnętrznych na jakość powietrza wewnętrznego w dwóch pomieszczeniach edukacyjnych z grawitacyjnym systemem wentylacji. Analiza statystyczna otrzymanych odczytów pozwoliła określić opóźnienie czasowe, po jakim możemy się spodziewać wzrostu stężenia pyłów wewnątrz pomieszczeń. Wniosek ten może być wskazówką do sposobu użytkowania pomieszczeń w okresie podwyższonego poziomu stężenia pyłów zawieszonych.
EN
Since most of the people spend 80 - 90%of their time indoors, it is important to understand the mechanism of transport of pollutants between the interior and exterior of a building. It is expected that effective ventilation of the building interior will allow maintaining good air quality in the room, among others by limiting the concentration of carbon dioxide, air humidity, chemical pollution, etc. At the same time, during periods of very high PM concentration in the atmosphere, intentional air exchange causes an increase in dust concentration inside the room. The article analyzed the impact of external conditions on the quality of indoor air in two educational rooms with a gravity ventilation system. Statistical analysis of the obtained readings allowed us to determine the time delay after which we can expect an increase in internal concentrations. This conclusion may be an indication of how rooms should be used during periods of increased levels of suspended dust concentrations.
EN
The quality of indoor air in educational institutions is a critical determinant of the health and well-being of students. The purpose of the study was indoor air quality monitoring carried out for different age groups of students in grades IV–VIII or college classrooms (students used the classroom according to the schedule, the same group uses the room for up to 2 classes), I–III (students stay in the classroom for all classes, leaving only during breaks), kindergarten “0” (students are practically in one and the same room all day). The individual measurements included measurement of CO2 concentration, concentration of PM2.5 and PM10 particles, formaldehyde, volatile organic compounds (VOCs), along with monitoring of changes in temperature and humidity in the classroom. The results indicate that children are exposed to elevated levels of these pollutants for a significant portion of their school day, which can have implications for their health and well-being. The findings reveal significant deviations from the recommended levels, emphasizing the need for improved ventilation and monitoring practices.
EN
Due to its irritating, allergenic, toxic, pathogenic, and carcinogenic effects, suspended particulate matter (PM) seriously threatens human health. Therefore, it seems obvious to control the level of concentration of PM2.5 and PM10 particles and their reduction in the indoor environment such as homes, workplaces, or public utilities. In the following work, an attempt was made to determine the efficiency of a home air purifier based on the concentration of PM2.5 and PM10 particles at selected measurement points in a teaching room located in the building of the Bialystok University of Technology. The tests were carried out in March and in April 2021, using the DT-96 meter, which measured the concentration of PM2.5 and PM10 in the air. The study included the time and intensity of air purifier operation. In addition, reference was made to the concentration of PM2.5 and PM10 in outdoor air, which was measured at measuring stations in the city of Bialystok. The obtained test results made it possible to assess the initial state of air quality in the test room, as well as to determine the parameters affecting the best efficiency of the air purifier and to notice the dependencies in changes in the concentration of PM2.5 and PM10 between the indoor and outdoor environment.
EN
The purpose of this study was to determine the amount of particulate and microbial contaminants, i.e. bacteria and fungi found in indoor air in a lecture hall in one of Lublin's universities and their classification. In the research part, the amount of particulate and microbial pollutants was measured. Bioaerosols were investigated using an Andersen cascade impactor, which was located in the central part of the room at a height of 1–1.5 m, and single-level impactors. Identification of the microorganisms present in indoor air was carried out. The air in the room was sampled before the start of class to determine the "background," i.e. the concentration level of microbial contaminants in the classroom without the presence of students. Subsequent measurements were taken during teaching activities in the presence of students and the teacher. The study shows that the air condition in the classroom during its operation met the requirements in terms of PM2.5, PM10 and microorganisms. The highest risk was recorded for carbon dioxide. Moreover, the highest recorded readings of this pollutant coincided with the maximum concentrations of the other monitored quantities. Therefore, it can be unequivocally stated that in the case of the analyzed room, monitoring carbon dioxide and adjusting the size of the ventilation airflow to maintain its concentration within the limit of 1000 ppm would guarantee the maintenance of adequate indoor air quality. The study showed no correlation between CO2 concentration and measured concentrations of microbial contaminants.
EN
The interdependence between air quality, human health and the state of the environment has prompted the development of research on causes, control and improvement of existing pollutants in the air. This paper addresses the problem of air pollution by PM2.5 and PM10 in particulate matter. There was draws attention to solutions to protect air against existing PM2.5 and PM10. Measurements of PM2.5 and PM10 concentrations in selected twenty control points on the campus of the Białystok University of Technology were discussed and analysed. On the basis of the obtained results, an assessment of the air quality in the area in question was performed. Slight hourly fluctuations in the concentration of particulate matter in the air were observed, higher in the morning and evening hours. On 15 March and 16 March, daily exceedances of the permissible PM10 and PM2.5 concentrations were recorded at both the Białystok University of Technology campus and the air quality monitoring stations in Białystok. Comparing the influence of meteorological conditions on PM10 and PM2.5 concentrations, faint correlations were found for temperature and wind speed. As temperature increased, particulate matter concentrations decreased. Low wind velocities corresponded with exceedances of the permissible daily concentrations of PM10 and PM2.5 in the air.
EN
Estimating the direct radiative forcing (DRF) by air particles is challenging because of uncertainty in the morphology (shape and size), mixing states, and chemical properties of fine particulates. To improve numerically estimated optical and radiative properties, a region-specific database of the aforementioned physico-chemical properties (at individual particle level) is required. PM2.5 samples were examined using scanning electron microscopy-energy-dispersive X-ray spectroscopy (SEM-EDS). SEM-EDS was utilized to investigate the differences in forms, morphology, and elemental composition of PM2.5 particles, as well as to relate them to a potential source as a cause of pollution and pollution emissions and transit from various polluted places. SEM micrographs identified a wide range of PM morphologies, including spherical, irregular, angular, cluster, flaky, rod-like, crystalline, and agglomerate structures, indicating natural and anthropogenic causes and creation. The sources of PM2.5 pollution episodes in Raipur were identified employing observed pollution levels and meteorological data, backward air mass trajectories, correlation, and PMF analysis. In addition, positive matrix factorization has been used to source-apportion the data and five significant source/pollution types including industrial emissions (37%), vehicular exhaust (13.8%), coal combustion (12.4%), ionic factor (11.3%), and crustal dust (25.5%) were detected. Using a backward trajectory analysis, the influence of air pollutant transmission on regional particle pollution was investigated. A significant connection between Fe-Mn, Mn-Ni, Ni-Al, and Cl- and NH4+ indicates that the contaminants share a similar source. It was revealed that unfavorable climatic circumstances, such as low wind speed, low humidity, low temperature, and surface layer inversions, increase the risk of large PM2.5 concentrations in the region.
PL
W pracy przedstawiono możliwość modelowania stężeń zanieczyszczeń w lokalizacji o określonym, stałym profilu emisji przy wykorzystaniu modeli uczenia maszynowego. Jako zanieczyszczenie wybrano pył PM2.5,a jako zmienne objaśniające przyjęto parametry metrologiczne mierzone na stacji synoptycznej. Przeprowadzono uczenie i walidację sześciu różnych modeli na podstawie obserwacji meteorologicznych zarejestrowanych w latach 2013–2018 na stacji IMGW-PIB w Szczecinie (Polska) oraz średniodobowych stężeń pyłu PM2.5 z tego samego okresu zmierzonych na stacji GIOŚ w Szczecinie przy ul. Andrzejewskiego, podzielonych na trzy równoliczne klasy stężeń. Dwa modele, które dawały najdokładniejsze wyniki, zostały szczegółowo przedstawione. Czułość tych modeli, w zależności od klasy stężenia pyłu, zawierała się pomiędzy 0,484 a 0,711. Te dwa modele zostały zastosowane do identyfikacji wzrostu średniodobowych stężeń w trakcie zdarzenia nietypowego – pożaru składowisk odpadów. Stężenia przewidziane w dniach, w których trwał pożar, były zaniżone względem faktycznych stężeń, co pozwala na zastosowanie modeli w identyfikacji zjawisk atypowych, które mają wpływ na stężenia zanieczyszczeń w danym miejscu.
EN
The work presents the possibilities of using machine learning in modeling pollutant concentra tions at locations with defined constant sources of emission. The PM2.5 was chosen as the pollutant to be studied with meteorological variables as exogenous variables measured at a weather station. Six different models were implemented and cross-validated on meteorological data recorded in 2013-2018 at the Institute of Meteorology and Water Management station in Szczecin, Poland, and PM2.5 concentrations from the same period divided into three classes, measured at the air quality station of the Chief Inspectorate of Environmental Protection (Poland) located at Andrzejewskiego Street in Szczecin. Two best-performing models were described in detail. The sensitivity of the models was found to vary from 0.484 to 0.711 depending on the class of PM2.5 concentration. Those two models were then applied to identify increases in PM concentrations that were caused by an extraordinary incident – landfill fire. It was proven that the predicted values of concentration that occur during the fire were underestimated as compared to actual concentration levels and hence such models can be applied in the identification of abnormal phenomena that may affect the concentrations of pollutants in a given location.
EN
The article discusses modern measurement techniques and equipment designed for air quality analysis. The problem of the quality of atmospheric and indoor air is strongly related to broadly understood public health. Modern measurement techniques allow faster and more effective assessments of the air quality condition in a given place. The paper discusses the structure, measurement method of solid pollutants and automatic measurement systems deploying the micro-oscillatory balance method, using the interaction of ionizing radiation with mattersuppression of beta radiation and gamma radiation spectrometry, optical methods based on light scattering on particulate matter and systems combining more than one method. Technical solutions introduced by manufacturers of measuring equipment, which allow more precise measurement of gaseous pollutants, were also discussed.
PL
W artykule omówiono nowoczesne techniki pomiarowe i urządzenia do analizy jakości powietrza. Problem jakości powietrza atmosferycznego i wewnętrznego jest silnie związany z szeroko rozumianym zdrowiem publicznym. Nowoczesne techniki pomiarowe pozwalają na szybszą i skuteczniejszą ocenę stanu jakości powietrza w danym miejscu. W artykule omówiono budowę, metodę pomiaru zanieczyszczeń stałych oraz automatyczne systemy pomiarowe wykorzystujące metodę wagi mikrosiłownikowej, wykorzystujące oddziaływanie promieniowania jonizującego z materią – tłumienie promieniowania beta i spektrometrię promieniowania gamma, metody optyczne oparte na rozpraszaniu światła na poszczególnych cząstkach pyłu zawieszonego oraz systemy łączące więcej niż jedną metodę. Omówiono również rozwiązania techniczne wprowadzone przez producentów sprzętu pomiarowego, które pozwalają na bardziej precyzyjny pomiar zanieczyszczeń gazowych.
EN
Currently, many European cities have severely exceeded the EU air quality standards and are struggling with high concentrations of fine particulate matter PM10 and PM2.5 in the air, with road transport often being one of the major polluters. One of the forms for correction of the problem that many cities in the EU are currently using is the construction of low-emission zones. For the prediction of PM10 and PM2.5, a modified numerical method for a system of ordinary differential equations has been proposed. In the right part of this system, in addition to the main trend and the periodicity of PM10 and PM2.5, their correlation is taken into account. Against the background of the best solution obtained, a forecast is made fo the emission levels in a period of one week in the town of Ruse.
EN
The objective of this study is to create a methodology for accurately estimating atmospheric concentrations of PM2.5 and PM10 using Sentinel-5P and other open-source remote sensing data from the Google Earth Engine (GEE) platform on a monthly basis for June, July and August which are considered as months of non-heating season in Croatia, and December, January and February, which, on the other hand, are considered as months of the heating season. Furthermore, machine learning algorithms were employed in this study to build models that can accurately identify air quality. The proposed method uses open-source remote sensing data accessible on the GEE platform, with in-situ data from Croatian National Network for Continuous Air Quality Monitoring as ground truth data. A common thing for all developed monthly models is that the predicted values slightly underestimate the actual ones and appear slightly lower. However, all models have shown the general ability to estimate PM2.5 and PM10 levels, even in areas without high pollution. All developed models show moderate to high correlation between in-situ and estimated PM2.5 and PM10 values, with overall better results for PM2.5 than for PM10 concentrations. Regarding PM2.5 models, the model with the highest correlation (r = 0.78) is for January. The PM10 model with the highest correlation (r = 0.79) is for December. All things considered, developed models can effectively detect all PM2.5 and PM10 hotspots.
11
Content available remote Influence of vehicular frequency On air quality of Delhi, India
EN
Vehicular traffic has registered a phenomenal growth in the last few decades on Delhi roads, their increasing number is a cause of concern for city planners and administrators as they not only deteriorated the quality of environment but has also affected the human health. In this context, we studied the influence of traffic i.e., vehicular frequency on air quality of Delhi. Five sites were selected in four cardinal directions i.e., North, South, East, West and Centre for which data of air pollutants were already available in public domain (DPCC online website). Vehicular frequencies were recorded for Light Motor Vehicle (LMV) and Heavy Motor Vehicle (HMV) for both weekdays and weekends. Correlative analysis were carried out to study the relationship between vehicular frequency and air pollutants. The study showed, East of Delhi had the highest traffic load followed by North, West, South and Centre. We found statistically significant positive correlation between dust pollution, PM10 (r = 0.8) and PM2.5 (r = 0.6) with vehicular frequency while negative association with ozone (r = –0.5). A weak positive correlation was found with NOx (r = 0.2) while weak negative correlation with SO2 (r = –0.3). The study revealed that vehicular exhaust and their movement contribute in deteriorating the air quality of Delhi. Our findings suggest promotion of usage of public transport along with implementation of BS-VI stage vehicles and development of vegetation filters along the roads with native tree species.
PL
Wprowadzenie: Podstawowym źródłem informacji o jakości powietrza są stacjonarne stacje pomiarowe, które nie pozwala- ją jednak na dokładną ocenę dyspersji stężenia zanieczyszczeń w skali lokalnej. Obecnie postępująca miniaturyzacja oraz rozwój technologii, pozwolił na zamontowanie niewielkiej aparatury pomiarowej na pokładzie bezzałogowego statku powietrznego (BSP). Obecnie BSP coraz częściej służą do celów transportowych w medycynie czy badaniach naukowych. Ich długi czas lotu oraz możliwości zawisu, pozwala na pomiary jakości powietrza na różnych wysokościach w trudno dostępnych miejscach, takich jak na przykład tereny węzłów komunikacyjnych. Cel: Ocena wykorzystania bezzałogowego statku powietrznego wraz z aparaturą pomiarową do analizy jakości powietrza nad wybranymi węzłami komunikacyjnymi na terenie miasta Łódź. Metody: Pomiary rzeczywistej dyspersji zanieczyszczeń wykonywano przy użyciu BSP z podczepioną aparaturą pomiarowo-próbkującą. Loty BSP były wykonywane na wysokości od 15 do 45 m nad poziomem terenu. Następnie przeprowadzono interpolację numeryczną pozyskanych danych w programie Arcgis. Wnioski i odniesienie do zastosowań praktycznych: Uzyskane wyniki dowodzą skuteczności i przydatności wykorzystania BSP do analizy jakości powietrza. Zwłaszcza w połączeniu z późniejszą analizą numeryczną w programie GIS. Wyniki dyspersji zanieczyszczeń pokazują dużą zmienność jakości powietrza na terenie węzłów komunikacyjnych.
EN
Introduction: The basic source of information on air quality are stationary measuring stations, which, however, do not allow for an accurate assessment of the dispersion of pollutant concentration on a local scale. The currently progressing miniaturization and technology development allowed for the installation of small measuring equipment on board an unmanned aerial vehicle (UAV). Currently, UAVs are increasingly used for transport purposes in medicine or research. Their long flight time and the ability to hover, allow air quality measurements at various heights in hard-to-reach places, such as, for example, areas of communication junctions. Aim: Assessment of the use of an unmanned aerial vehicle with measurement equipment for air quality analysis over selected communication junctions in the city of Łódź. Methods: Measurements of the actual dispersion of pollutants were made using the UAV with attached measuring and sampling equipment. UAV flights were performed at a height of 15 to 45 m above the ground level. Then, numerical interpolation of the obtained data was carried out in the Arcgis program. Conclusions and relevance to practice: The obtained results prove the effectiveness and usefulness of using UAVs for air quality analysis. Especially when combined with the subsequent numerical analysis in a GIS program. The results of the dispersion of pollutants show a large variability of air quality in the area of communication junctions.
EN
An improved procedure is presented for testing the level of respiratory health protection and comfort of half masks currently used in coal mining and similar industries. This will allow companies to make the best choice of such equipment for their workers. Half masks used by one Slovenian (PV) and two Polish (JSW and PPG) coal mining companies were tested in terms of filtering efficiency, especially for PM2.5, perceived effectiveness, comfort and ease of use. Filtering efficiency was determined by analysing filters from masks used in underground operations for the levels and sizes of trapped coal dust particles and by carrying out experiments employing a specially developed laboratory test stand. The latter incorporated a replica human head and a climatic chamber to simulate the humidity of exhaled air during mining activities. To determine the comfort and utility of the half masks, selected miners were asked to fill in questionnaires. The main results of these studies were that, in the interest of miners' health, and for those working in other high dust environments, the quality of the half-mask should be assessed on the basis of workplace and stand tests. These are complementary and both should be included to ensure the correct assessment of the half masks. For the masks supplied by the mentioned mining companies, their filtering efficiency for PM2.5, as determined using the test stand, was excellent at over 99%.
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 paper considers the current problem of improving the quality of atmospheric monitoring. The paper aimed at conducting a monitoring section of the existing situation in the studied territories in St. Petersburg. The following study methods were described: gravimetric, electrochemical, and chromatographic. The analysis of samples was carried out on the following laboratory facilities of the mobile environmental laboratory: PU-3E aspirator, ECOLAB portable gas analyser, DUSTTRAK 8533 dust analyser, portable gas chromatograph FGKh-1, professional weather station. The study consisted of two parts and was carried out in two districts of the city: Novosmolenskaya Embankment of the Smolenka River (Vasileostrovsky District) and the banks of the Volkovka River (Frunzensky District). As a result of the study, the concentrations of nitrogen dioxide, carbon oxide, suspended solids and volatile organic compounds in the air of the studied districts were measured. The obtained values were compared with the maximal single limiting concentration (LMCm.s.) and assumptions were made about the possible sources of pollution. In the territory of Novosmolenskaya Embankment, the concentration of nitrogen dioxide varied from 0.211 mg/m3 to 0.472 mg/m3, which means the exceedance of LMCm.s. The maximum permissible concentration of the volatile organic compounds (VOC) content in air was exceeded by several orders of magnitude. No exceedance of LMCm.s. was detected for the content of carbon oxide and suspended solids in the air. The empirical data was used to build the air pollution content maps and to calculate the atmospheric pollution index in the studied territory.
16
Content available remote Foehn wind as a factor affecting the air quality in the town of Zakopane
EN
Zakopane, the largest town in the Tatra County, located at the foot of the northern slope of the Tatra Mountains, i.e. the highest mountains in Poland, is characterised by the frequent occurrence of high atmospheric air pollutant concentrations, and the resulting poor aerosanitary conditions, particularly in winter months. The aim of this study is to demonstrate the relationship between the occurrence of a foehn-type wind, which is called halny in the area of the Tatra Mountains and the Podhale region, and changes in concentrations of pollutants found in the atmospheric air in Zakopane, based on the example of PM2.5 and PM10 particulate matter. The concentrations of the analysed substances in the town of Zakopane were compared on the days when foehn wind occurred on the Kasprowy Wierch peak and on the days when the foehn wind did not occur on the above-mentioned peak. The study initially showed the existence of a relationship between halny velocity on the Kasprowy Wierch peak (1987 m a.s.l) and its effects on the air quality in the town of Zakopane. Decreases in concentrations of PM2.5 and PM10 particulate matter were noted on the days when foehn wind velocity on the Kasprowy Wierch peak was equal to or exceeded 20 m·s−1.
PL
Wejście w życie rygorystycznych przepisów prawa dotyczących emisji do powietrza substancji kwaśnych zmusza obiekty energetycznego spalania paliw do dostosowania się do nowych regulacji. Inwestorzy, aby sprostać postawionym wymaganiom, muszą dokonać wyboru optymalnej drogi do obniżenia emisji szkodliwych substancji. Jednym z wielu rozwiązań, nieingerującym w znaczący sposób w instalację spalania paliw, jest metoda wtrysku suchego sorbentu (ang. dry sorbent injection – DSI), polegająca na bezpośrednim wtrysku suchego materiału (węglanu wapnia lub węglanu sodu) do strumienia spalin. Mimo szeregu zalet, jakimi są stosunkowo niskie koszty inwestycyjne czy możliwość prowadzenia nieprzerwanej eksploatacji ciągu technologicznego, należy wziąć pod uwagę na przykład kwestię warunków pracy zainstalowanych urządzeń odpylających. Istotny wpływ na skuteczność przereagowania zanieczyszczeń kwaśnych ma bowiem wielkość ziaren wtryskiwanego sorbentu – im drobniejsza frakcja, tym skuteczniejsze działanie metody DSI. Drobna frakcja znacząco zmniejsza jednak sprawność elektrofiltru. Emisja pyłu zawieszonego do atmosfery jest bardziej szkodliwa, jeśli emitowane cząsteczki mają mniejsze średnice. Ziarna mniejsze niż 2,5 µm z łatwością przedostają się do organizmów poprzez górne drogi oddechowe, stanowiąc tym samym realne zagrożenie dla zdrowia.
EN
As a consequence of the entry into force of stringent legal requirements concerning emissions of acidic substances into the air, combustion plants are obliged to adapt to the new emission standards. To fulfill the requirements, investors have to choose the best way to reduce emissions of harmful substances. One of many solutions, which does not significantly interfere with the fuel combustion installation, is the method of dry sorbent injection (DSI), which consists in an injection of dry material (calcium carbonate or sodium carbonate) directly into the flue gas stream. This process offers a number of advantages, such as a relatively low investment cost or uninterruptible operation of the process line. However, one should also take into account, for example, operating conditions of the installed dust collectors. The grain size of the injected sorbent has a significant impact on the effectiveness of the reaction of acidic pollutants – the finer the fraction, the more effective the DSI process. Yet, a fine fraction significantly reduces the ESP efficiency. Particulate matter emissions to the atmosphere are more harmful if the emitted particles are small in diameter. Fine particles smaller than 2.5 µm in diameter easily enter organisms through the upper respiratory tract, thus posing a real threat to human health.
EN
The prediction of PM2.5 is important for environmental forecasting and air pollution control. In this study, four machine learning methods, ground-based LiDAR data and meteorological data were used to predict the ground-level PM2.5 concentrations in Beijing. Among the four methods, the random forest (RF) method was the most effective in predicting ground-level PM2.5 concentrations. Compared with BP neural network, support vector machine (SVM), and various linear fitting methods, the accuracy of the RF method was superior by 10%. The method can describe the spatial and temporal variation in PM2.5 concentrations under different meteorological conditions, with low root mean square error (RMSE) and mean square deviation (MD), and the consistency index (IA) reached 99.69%. Under different weather conditions, the hourly variation in PM2.5 concentrations has a good descriptive ability. In this paper, we analyzed the weights of input variables in the RF method, constructed a pollution case to correspond to the relationship between input variables and PM2.5, and analyzed the sources of pollutants via HYSPLIT backward trajectory. This method can study the interaction between PM2.5 and air pollution variables, and provide new ideas for preventing and forecasting air pollution.
PL
W centrach miast występuje znaczne zanieczyszczenie powietrza. W związku z tym istnieje potrzeba lokalnego oczyszczania powietrza. W artykule przedstawiono analizę jakości powietrza w centrum Warszawy oraz sposoby poprawy jego jakości. Przeanalizowano dostępne filtry i sprawdzono ich przydatność. Wstępne badania przeprowadzono na zbudowanym stanowisku badawczym. Badano skuteczność filtracji, spadki ciśnienia i skład zanieczyszczeń przed i za przegrodą filtracyjną. Poszukiwano rozwiązania dla zanieczyszczeń o wielkości ziarna 1-2,5PM. Zbadano trzy rodzaje filtrów (pokrywę antysmogową do splita naściennego, filtr HEPA13 oraz trójstopniowy układ filtracyjny: warstwa węgla aktywnego + filtr F5 + filtr HEPA11) i określono ich przydatność do stosowania w warunkach wysokiego poziomu zapylenia w aglomeracjach wielkomiejskich.
EN
Air pollution is a significant problem in city centres. According to public health care there is a need for local authorities to propose good solutions for purification of an air. It is crucial for outdoor as well as indoor applications. In this paper the levels of PM10 and PM2.5 in the centre of Warsaw, Poland, are presented. Moreover, the experimental stand is introduced due to examination of different filtration materials. There are antismog cover for air conditioning split, HEPA13 class filter and 3-stage filtration (active carbon + F5 class filter + HEPA11 class filter) system for domestic applications. The filtration efficiency is defined and calculated upon experimental measurements of filtration materials. There is experimental stand where some parameters could be adjust. From experiments it is known the efficiency of filtration, the pressure difference and influence of moisture on filtration PM2.5 and less. A solution was considered for contamination of grain size from PM1 to PM2.5. Three types of filters were examined and their suitability for the proposed solution was evaluated. An air purification system was proposed at bus stops.
20
Content available remote The measurements of PM2.5 dust concentration by using an integrated optical sensor
EN
Dust measurement depends of analog value of voltage read is equal to the PM2.5 dust concentration. The recorded values were analyzed by the ANOVA multivariate analysis. During the statistical analyzes, it was found the relative humidity influence on the PM2.5 dustiness level. The influence of the air temperature on the PM2.5 dust emissions was also found.
PL
Pomiar zapylenia zależy od wysokości odczytanego napięcia na wyjściu analogowym i odpowiada wartości stężenia pyłów PM2.5. Określone podczas pomiarów wartości jako czynniki materiałowe surowca poddano analizie statystycznej wykorzystując metodę wieloczynnikowej analizy wariancji ANOVA. W świetle analiz statystycznych stwierdzono, że istnieje wpływ wilgotności względnej na poziom zapylenia PM2,5. Dodatkowo, zaobserwowano wpływ temperatury powietrza na poziom emisji pyłów PM2,5.
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