Indoor School Environment Research Articles

Unveiling the airborne microbial menace: Novel insights into pathogenic bacteria and fungi in bioaerosols from nursery schools to universities

Bacterial and fungal aerosol pollution is widespread in indoor school environments, and poses potential health risks to students and staff. Understanding the distribution and diversity of microbial communities within aerosols is crucial to mitigate their adverse effects. Existing knowledge regarding the composition of bacterial and fungal aerosols, particularly the presence of potential pathogenic microorganisms in fine particulate matter (PM2.5) from nursery schools to universities, is limited. To bridge this knowledge gap, in the present study, we collected PM2.5 samples from five types of schools (i.e., nursery schools, primary schools, junior schools, and high schools and universities) in China. We used advanced single-molecule real-time sequencing to analyze the species-level diversity of bacterial and fungal components in PM2.5 samples based on 16S and ITS ribosomal genes, respectively. We found significant differences in microbial diversity and community composition among the samples obtained from different educational institutions and pollution levels. In particularly, junior schools exhibited higher PM2.5 concentrations (62.2–86.6 μg/m3) than other schools (14.4–48.4 μg/m3). Moreover, microbial variations in PM2.5 samples were associated with institution type. Notably, the prevailing pathogenic microorganisms included Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus haemolyticus, Streptococcus pneumoniae, and Schizophyllum commune, all of which were identified as Class II Pathogenic Microorganisms in school settings. Four potentially novel strains of S. commune were identified in PM2.5 samples collected from the university; the four strains showed 92.4 %–94.1 % ITS sequence similarity to known Schizophyllum isolates. To the best of our knowledge, this is the first study to explore bacterial and fungal diversity within PM2.5 samples from nursery schools to universities. Overall, these findings contribute to the existing knowledge of school environmental microbiology to ensure the health and safety of students and staff and impacting public health.

Pollution Levels in Indoor School Environment—Case Studies

Air quality in school environments is of particular interest due to the significant amount of time children spend in these settings. Children, being a particularly sensitive demographic, are exposed to various pollutants at school or kindergarten. In this regard, our studies have focused on monitoring the concentrations of three main categories of pollutants: VOCs (volatile organic compounds), VICs and PM (particulate matter). We conducted two experimental campaigns in seven classrooms within public educational institutions. The average concentration values of TVOC (total volatile organic compounds) ranged from 554 µg/m3 to 2518 µg/m3, of CO2 from 1055 ppm to 2050 ppm, of NH₃ (Ammonia) from 843.2 µg/m3 to 1403.4 µg/m3, of PM2.5 from 25.1 µg/m3 to 89.9 µg/m3, and of PM10 from 63.7 µg/m3 to 307.4 µg/m3. In most instances, the registered values exceeded the limit values set by national or international regulations. Furthermore, this study highlights the significant impact of a heat recovery ventilation system in improving indoor air quality by substantially reducing the levels of CO2 and PM. However, it also underscores the need for further measures to more efficiently reduce TVOC concentrations. The aim of our paper was to enhance the understanding of pollution levels in school environments, increase awareness of the importance of indoor air quality, and highlight the adverse effects of polluted air on the health of occupants.

An alternative approach for estimating large-area indoor PM2.5 concentration – A case study of schools

BackgroundFor indoor air modelling, difficulties in collecting indoor parameters including life activity patterns and building characteristics are dilemmas when conducting a large-area study. Land-use/land cover information which is easier to obtain could represent as surrogates of emission sources for assessing indoor air quality. Moreover, low-cost sensors and machine learning provide a better way to enhance model accuracy. ObjectivesThis study proposed an alternative estimation approach to assess daily PM2.5 concentration for indoor environments of schools in a large area by integrating low-cost sensors, land-use/land cover predictors, and machine learning-based modelling approaches. MethodsIndoor PM2.5 data was collected from 145 indoor AirBox sensors in Kaohsiung and Pingtung Counties of Taiwan. Geospatial predictors were extracted from the circular buffers surrounding each AirBox sensor. Spearman correlation analysis and stepwise variable selection procedures were performed to select variables for land-use regression (LUR) and integrated with XGBoost, Random Forest (RF), and LGBM machine learning models. ResultsThe results revealed that outdoor PM2.5 and distance to the nearest thermal power plant were the main determinants of indoor estimation variations, when there were no indoor sources. When incorporating machine learning, the R2 increased from 0.59 for LUR to 0.85 for LUR-XGBoost while the RMSE decreased from 8.63 to 5.27 μg/m3, which performed better than both LUR-RF and LUR-LGBM. ConclusionsThis study demonstrates the value of the proposed alternative approach by incorporating data from a low-cost sensor with LUR model and machine learning algorithm in estimating the spatiotemporal variability of indoor PM2.5 for a large area.

Predicting environmental risk factors in relation to health outcomes among school children from Romania using random forest model - An analysis of data from the SINPHONIE project

BackgroundFew studies have simultaneously assessed the health impact of school and home environmental factors on children, since handling multiple highly correlated environmental variables is challenging. In this study, we examined indoor home and school environments in relation to health outcomes using machine learning methods and logistic regression. MethodsWe used the data collected by the SINPHONIE (Schools Indoor Pollution and Health: Observatory Network in Europe) project in Romania, a multicenter European research study that collected comprehensive information on school and home environments, health symptoms in children, smoking, and school policies. The health outcomes were categorized as: any health symptoms, asthma, allergy and flu-like symptoms. Both logistic regression and random forest (RF) methods were used to predict the four categories of health outcomes, and the methods prediction performance was compared. ResultsThe RF method we employed for analysis showed that common risk factors for the investigated categories of health outcomes, included: environmental tobacco smoke (ETS), dampness in the indoor school environment, male gender, air freshener use, residence located in proximity of traffic (<200 m), stressful schoolwork, and classroom noise (contributions ranged from 7.91% to 23.12%). Specificity, accuracy and area under the curve (AUC) values for most outcomes were higher when using RF compared to logistic regression, while sensitivity was similar in both methods. ConclusionThis study suggests that ETS, dampness in the indoor school environment, use of air fresheners, living in proximity to traffic (<200 m) and noise are common environmental risk factors for the investigated health outcomes. RF pointed out better predictive values, sensitivity and accuracy compared to logistic regression.

The Impact of Using Interactive Panels in the Learning Process on the Main Parameters of the Indoor School Environment

Summary. Introduction: Active introduction of electronic learning tools in educational institutions poses new health risks to school-age children. Creating a modern and secure digital educational environment requires constant monitoring of the conditions and modes of use of new electronic tools, the diversity of which is changing rapidly. The purpose of this work was to assess certain parameters of indoor school environment influenced by the use of interactive panels (IPs), an e-learning tool of the latest generation. Materials and methods: We studied the parameters of electromagnetic radiation, microclimate (air temperature and relative humidity), artificial lighting levels, chemical composition of indoor air, concentrations of positive and negative air ions during the school day in classrooms with and without interactive panels. The measurements were carried out in accordance with the approved methods of laboratory and instrumental research, and the results were then assessed for compliance with current sanitary rules and regulations. Statistical processing of the results was carried out using parametric methods of statistical analysis. Results and conclusion: Indices of the microclimate and air ions in IP-equipped classrooms demonstrated a more pronounced negative dynamics during the school day. Our findings indicate the need for hygienists to pay close attention to the problem of using new electronic teaching aids and interactive panels in particular, to continue research in the area under study in order to elaborate hygienic regulations for applying IPs in the classroom and to prevent overwork and health risks to school-age children.

Scientific Substantiation of the Innovative Model of Catering for Cadet Corps Students

Introduction: In the Russian Federation, much attention is traditionally paid to military education and training. A special place in its structure is occupied by the system of cadet classes and corps. A distinctive feature of the learning mode in such institutions is a combined effect of standard and specific factors of indoor school environment and intensive physical activity owing to sports, applied military and drill training. No evidence-based methods of establishing nutrient requirements of children in modern conditions of cadet corps have been developed so far, which predetermines the potential of transforming nutrition from a health-saving factor into a health risk factor. Our objective was to provide a scientific substantiation of the model of healthy nutrition for students of cadet-type educational establishments. Methods: The statistical significance of the correlation was evaluated using the Student’s t-test. Correlation and regression analyses were used to assess cause-and-effect relationships. The Pearson correlation coefficient (rxy) was used as an indicator of the strength of the relationship between quantitative indicators x and y, both having a normal distribution. Correlation coefficient (rxy) values were interpreted in accordance with the Chaddock scale. For the purpose of statistical modeling, the method of multiple linear regressions was used. Conclusions: We substantiated the innovative model of organizing healthy nutrition for students of cadet-type schools based on the correlation and regression analyses with determination of statistical significance of the studied characteristics. Its efficiency indicators include an increase in average functional capabilities of students by more than 10 % and a reduction in the probability of developmental disorders by more than 25 %.

Academic stars and Energy Stars, an assessment of student academic achievement and school building energy efficiency

Considerable efforts have been made to increase the energy efficiency of school buildings across the country. Despite this, limited research examines the relationship between energy efficiency and student productivity. We use a unique panel dataset from a suburban school district that includes information on school building energy efficiency, measured by Energy Star scores, and other environmental attributes of buildings, as well as measures of individual student achievement, measured by standardized test scores. The empirical analysis controls for student and school fixed effects and evaluates the relationship between school characteristics and achievement. Separate models also evaluate how school characteristics impact student health and behavioral outcomes and the how these outcomes influence student test scores. We find no evidence that Energy Star scores have an impact on the indoor school environment or student performance on standardized tests, suggesting that building energy performance does not come at a cost to the performance of building inhabitants. We also find positive relationships between building thermal comfort and visual quality and standard test scores. Overall, the results highlight the importance of considering both the environmental and human capital impacts associated with decisions about investments in school infrastructure.

The Indoor Environment and Childhood Asthma.

Sensitization and exposure to triggers in the indoor environment, including aeroallergens, indoor air pollution, and environmental tobacco smoke, have a significant role in asthma development and morbidity. This review discusses indoor environmental exposures and their effect on children with asthma as well as environmental interventions and their role in improving asthma morbidity. Recent research has emphasized the role of aeroallergen sensitization and exposure in asthma morbidity and the importance of the school indoor environment. There is an established association between indoor exposures and asthma development and morbidity. Recent evidence has highlighted the importance of the indoor environment in childhood asthma, particularly the role of the school indoor environment. While home environmental interventions have had mixed results, interventions in the school environment have the potential to significantly impact the health of children, and ongoing research is needed to determine their effectiveness.

Portable dehumidifiers as an original matrix for the study of inhalable nanoparticles in school

Good air quality is documented as a significant factor of social justice. The human health hazards associated with air pollution are not distributed equally across cities; the most vulnerable people are more exposed to ambient air as they commute to work and wait for buses or trains at the stations. Aerosols play important roles in atmosphere quality and the climate; their oxidation at the nanoscale level may possibly increase the reactivity and toxicity of atmospheric particulates. Indoor school environments are characterized by high concentrations of different airborne particulate and gaseous pollutants. The documentation of nanoparticles (NPs), ultra-fine particles (UFPs), and micron-size particle species present in indoor primary schools are an important aspect in the recognition of their influence in respirational difficulties and decreased cognitive progress in children. This work utilizes the study of condensed water, sampled with portable dehumidifiers (PD), to describe NPs and UFPs in the vapor stage of enclosed zones. The acquired extracts were analyzed by advanced electron microscopy techniques. A total of 392 NPs and 251 UFPs were examined in a set of 22 samples acquired in moderately limited or inadequately ventilated indoor areas from several schools. Noting that NPs-related disorders happen at particular places of respirational structure, identification of site-specific NPs accumulation should be anticipated in direction to better verify the corresponding human health outcomes resulting from respirable NPs.

Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study

Substantial knowledge is available on the association of the indoor school environment and its effect among schoolchildren. In the same context, the SINPHONIE (School indoor pollution and health: Observatory network in Europe) conducted a study to collect data and determine the distribution of several indoor air pollutants (IAPs), physical and thermal parameters and their association with eye, skin, upper-, lower respiratory and systemic disorder symptoms during the previous three months. Finally, data from 115 schools in 54 European cities from 23 countries were collected and included 5175 schoolchildren using a harmonized and standardized protocol. The association between exposures and the health outcomes were examined using logistic regression models on the environmental stressors assessed in classroom while adjusting for several confounding factors; a VOC (volatile organic compound) score defined as the sum of the number of pollutants to which the children were highly exposed (concentration > median of the distribution) in classroom was also introduced to evaluate the multiexposure – outcome association. Schoolchildren while adjusting for several confounding factors. Schoolchildren exposed to above or equal median concentration of PM2.5, benzene, limonene, ozone and radon were at significantly higher odds of suffering from upper, lower airways, eye and systemic disorders. Increased odds were also observed for any symptom (sick school syndrome) among schoolchildren exposed to concentrations of limonene and ozone above median values. Furthermore, the risks for upper and lower airways and systemic disorders significantly increased with the VOCs score. Results also showed that increased ventilation rate was significantly associated with decreased odds of suffering from eye and skin disorders whereas similar association was observed between temperature and upper airways symptoms. The present study provides evidence that exposure to IAPs in schools is associated with various health problems in children. Further investigations are needed to confirm our findings.

Indoor Culturable Fungal Load and Associated Factors among Public Primary School Classrooms in Gondar City, Northwest Ethiopia, 2018: A Cross-sectional Study

Fungi are heavy threats to public health in indoor environments, particularly in residential buildings, offices, and schools where people spend a lot of time indoors. This study was conducted to investigate the load of culturable fungi and associated factors in a school indoor environment. Institutional based cross-sectional study was conducted in eight public primary school classrooms in Gondar City from March to April 2018. Settle plate technique was used to determine the culturable fungal load. Log transformed linear regression analysis was employed. The beta-coefficient with a 95% confidence interval was used to determine the degree and direction of the association with a p-value less than 0.05. The highest and the lowest mean culturable fungal loads recorded were 1140.29 CFU/m3 and 211.25 CFU/m3, respectively. Aspergillus, Mucor, Penicillium, Candida, Microsporum, Trichophyton, Rhizopus, Alternaria and Fusarium species were isolated. Age of buildings (β= -0.122, 95%CI -0.238,-0.007), area of classroom (β= 0.639, 95% CI 0.285, 0.993), temperature (β= -0.189, 95% CI -0.325,-0.047), humidity (β= -0.023, 95% CI -0.043, -0.002) and PM10 (β= -0.01, 95% CI -0.015,-0.005) were associated with culturable fungal load. High culturable fungal load was found in school classrooms in Gondar City. Age of buildings, area of classrooms, temperature, humidity, and PM10 were predictors of the culturable fungal load. Therefore, proficient corrective methods are needed to combat the problem of indoor air quality in a school indoor environment by controlling factors contributing to growth of fungi.

Association of particulate matter pm with respiratory symptoms among children in selected primary schools in pahang

Particulate matter (PM) is one of the primary pollutants found in the indoor environment. It can cause deterioration of the indoor air quality (IAQ) and is often linked with adverse health effects especially towards susceptible subgroup of the population like children. School children are exposed to PM inside the classroom, as this indoor PM may originate from both indoor and outdoor sources. Furthermore, ambient surrounding could be one of the major factors that contribute to its high concentration, specifically for school environment like government-subsidized schools in Malaysia whereby the schools are using natural ventilation systems to control the thermal comfort inside the classrooms. Hence the infiltration of outdoor PM into the indoor is probably high and significant. The high concentration of PM may affect the children’s health and learning performances. Due to this reason, it is important to study the effects of PM towards children. Thus, this study aims to assess the concentrations of PM and selected IAQ parameters in the school indoor environment with distinct background characteristics including residential, industrial, and rural areas. PM and IAQ parameters (temperature, relative humidity (RH), carbon monoxide (CO) and carbon dioxide (CO2)) were assessed for 8-hours duration via DustMate Environmental Dust Detector (Turnkey Instruments, USA) and VelociCalc® Multi-Function Ventilation Meter 9565 (TSI®, USA) respectively, during occupied and non-occupied time in the classrooms. Second, considering the children’s prolonged and repetitive exposure towards PM in school indoor environment and their body sensitivity, this study also screened for the prevalence of non-specific respiratory disease (NSRD) and persistent cough and phlegm (PCP) among children via structured questionnaire developed by American Thoracic Society’s Division of Lung Diseases (ATS-DLD-78-C). Higher concentrations of PM and prevalence of respiratory symptoms in the school from the industrial area were expected, due to the high concentration of PM originated from nearby industrial activities and anthropogenic sources. Hopefully, better understanding and insights on the issue were obtained through this study.

Health, comfort and performance of children in classrooms – New directions for research

Children spend more time in schools than in any other place except at home. Children are more susceptible than adults to effects of toxic exposure, but also to poor acoustic conditions. It is known for some time that unsatisfactory environmental conditions, can have both short-term and long-term health effects, and can affect productivity or learning ability of the children. The underlying literature study focusses on the role of the indoor school environment on the health, comfort and performance of children in classrooms. In the last decades, many studies all over the world have been performed to document the indoor environment in classrooms and to examine relations with diseases and disorders. An inventory is made of these studies, major identified issues are discussed and ‘new’ directions of research are proposed. It is concluded that new generation research studies should be focussed on engagement of the children in an active way, preferable in semi-lab environments, and taking account of all aspects and interactions between them.

Associations between plasma concentrations of PCB 28 and possible indoor exposure sources in Danish school children and mothers

BackgroundPolychlorinated biphenyls (PCBs) are ubiquitously present in the environment and are suspected of carcinogenic, neurotoxic and immunotoxic effects. Significantly higher plasma concentrations of the congener PCB 28 occur in children compared to adults. Exposure in schools may contribute to this difference. ObjectiveTo determine whether increased blood plasma concentrations of PCB 28 in Danish school children and mothers are associated with living in homes or attending schools constructed in the PCB period (1959–1977). MethodsPCB 28 was analyzed in plasma samples from 116 children aged 6–11years and 143 mothers living in an urban and a rural area in Denmark and participating in the European pilot project DEMOCOPHES (Demonstration of a study to COordinate and Perform Human Biomonitoring on a European Scale). In Denmark, PCBs were used in construction in the period 1950–1977, and year of construction or renovation of the homes and schools was used as a proxy for indoor PCB exposure. Linear regression models were used to assess the association between potential PCB exposure from building materials and lipid adjusted concentrations of PCB 28 in plasma, with and without adjustment for potential confounders. ResultsAmong the 116 children and 143 mothers, we were able to specify home construction period in all but 4 children and 5 mothers leaving 111 children and 138 mothers for our analyses. The median lipid adjusted plasma PCB 28 concentration was 3 (range: 1–28) ng/g lipid in the children and 2 (range: 1–8) ng/g lipid in the mothers.Children living in homes built in the PCB period had significantly higher lipid adjusted plasma PCB 28 concentrations compared to children living in homes built before or after the PCB period. Following adjustment for covariates, PCB 28 concentrations in children were 40 (95% CI: 13; 68) percent higher than concentrations of children living in homes constructed at other times. Furthermore, children attending schools built or substantially refurbished in the PCB period also had significantly higher (46%, 95% CI: 22; 70) PCB 28 concentrations compared to children attending schools constructed before or after the PCB period, while their mothers had similar concentrations. Adjustment for the most prevalent congener, PCB 153, did not change this effect of home or school construction. When both home and school construction year were included in the models, the increase in lipid adjusted plasma PCB 28 for children living in or attending schools from the PCB period was no longer statistically significant. The individual effect of home and school construction periods could not be evaluated further with the available data. ConclusionOur results suggest that PCB exposure in the indoor environment in schools and homes constructed during the PCB period may contribute significantly to children's plasma PCB 28 concentration. Efforts to minimize PCB exposure in indoor environments should be considered.

Indoor school environments, physical activity, sitting behaviour and pedagogy: a scoping review

Physical activity levels in children are low and sitting time high, despite the health benefits of regular physical activity and limited sitting. Children spend a large proportion of their time at school, hence school-based interventions targeting physical activity and sitting behaviour may be important. Whilst some aspects of school buildings, their layout and furniture may influence children's physical activity and sitting, these effects could be intertwined with pedagogical approaches. This scoping review aims to identify gaps in the research literature regarding the influence of the indoor school environment on pedagogical approaches and on physical activity and sitting. In primary schools, it was found that physical activity can be integrated into lessons with some benefits on academic behaviour and possibly academic performance. Overall, however, the role of the indoor built environment is poorly investigated, although a handful of studies suggest that a radical change in primary school classrooms may increase physical activity and that stand-biased desks may be promising. This study provides a contribution to the emerging research fields of ‘active design’ from the perspective of indoor school design, highlighting a dearth of research, especially on sitting and for secondary education, and a lack of relevant conceptual frameworks.

Outdoor infiltration and indoor contribution of UFP and BC, OC, secondary inorganic ions and metals in PM2.5 in schools

Infiltration of outdoor-sourced particles into indoor environments in 39 schools in Barcelona was assessed during school hours. Tracers of road traffic emissions (NO2, Equivalent Black Carbon (EBC), Ultrafine Particles (UFP), Sb), secondary inorganic aerosols (SO42−, NO3−, NH4+) and a number of PM2.5 trace elements showed median indoor/outdoor (I/O) ratios ≤ 1, indicating that outdoor sources importantly contributed to indoor concentrations. Conversely, OC and mineral components had I/O ratios>1. Different infiltration factors were found for traffic and secondary components (0.31–0.75 and 0.50–0.92, cold and warm season respectively), with maxima corresponding to EBC and Cd. Higher concentrations of indoor-generated particles were observed when closed windows hindered dispersion (cold season). Building age was not a major determinant of indoor levels. Neither were the window's material, except for NO2 (with an increase of 8 μg m−3 for wood framed windows) and the mineral components (also dependent on the presence of sand in a distance <20m) that reach the indoor environment via soil adhering to footwear with their dispersion being more barred by Aluminium/PVC framed windows than the wooden ones. Enlarged indoor concentrations of some trace elements suggest the presence of indoor sources that should be further investigated in order to achieve a healthier school indoor environment.

“How good is my classroom?” Italian results from the International SEARCH II Project on energy, indoor air quality and comfort at school

Chemistry and microclimate of indoor environment in schools, are quite complex and factors such as temperature [T], relative humidity [RH], and ventilation levels, as well as the energy use, can affect well-being and performance of students and teachers. This work synthesizes the Italian results of the SEARCH II International Project (School Environment and Respiratory Health of Children). In this cross-sectional study, 659 kids (11-13 years) from 33 classrooms of 15 Italian secondary school were …

Perception of neighborhood environment and health risk behaviors in Prague's teenagers: a pilot study in a post-communist city.

BackgroundA youths’ neighborhood can play an important role in their physical, health, and emotional development. The prevalence of health risk behavior (HRB) in Czech youth such as smoking, drug and alcohol use is the highest in Europe.AimTo analyze differences in HRB in youth residents within different types of Prague’s neighborhoods in relation to the perception of the built environment, quality of their school and home environments.Data and methodsThe data is based on the on-line survey among elementary school students aged between 14–15 years, which was administered in19 selected schools in Prague, during the months of October 2013 to March 2014. Respondents were asked their opinions on various issues related to their HRB, about their indoor and outdoor housing and school environments. The questionnaire was completed by 407 students. Factor analysis with a principal components extraction was applied to determine the underlying structure in the variables. A consequent field research was conducted to map the opportunity hot spots and critical places around the elementary schools.ResultsBinge drinking has been reported mainly by the students living in the housing estates with blocks of flats. The most frequent occurrence of daily smokers was found in the neighborhoods of old city apartment houses. High prevalence of risky marijuana use almost in all the surveyed types of neighborhoods. The respondents were more critical in their evaluation of school characteristics. The neighborhoods critically evaluated by the students as regards the school outdoor environments were the older apartment houses in the historical centre and inner city, the school indoor environment was worst assessed within the housing estate neighborhoods.ConclusionsOur results suggest that perceptions of problems in both residential and school environment are associated with HRB. This fact makes this issue of a serious importance also from the policy point of view. Mainly the school surroundings have to be better managed by the local authorities responsible for the public space. This research thus forms part of the Sophie project aiming to find the most efficient policies that would tackle with the inequalities in the health and quality of life.

Empowering citizens to improve quality of life in urban environments; the CITI-SENSE Barcelona case study

Background: CITI-SENSE is a four year Collaborative Project partly funded by the EU FP7-ENV-2012 under grant agreement 308524, which commenced in October 2012. Nine different cities (Barcelona, Belgrade, Edinburgh, Haifa, Ljubljana, Oslo, Ostrava, Vienna and Vitoria) will gather sensor-enabled health-relevant information on outdoor urban spaces and indoor school environments. Aims: The overall aim of CITISENSE is to create citizen observatories, and to empower citizens with the means to communicate directly with authorities and policy-makers regarding contemporary urban environmental health issues. In Barcelona, we will focus on urban air pollution. Methods: Mobile and static sensor nodes will be strategically deployed around the city of Barcelona. Dynamic land-use regression modeling will be performed to create a near-real-time map layer of urban environmental health indicators, including CO2, NO2, NOX, PM, and noise. Citizens will be engaged to identify and evaluate contemporary environmental health issues. Results: 20 personal/mobile sensors and 40 geographical/static sensors will be deployed in Barcelona city. The mobile sensors will be carried by interest user-groups such as bicyclists and asthmatics. The static sensors will facilitate land-use-regression modeling, occurring hourly and complementing existing air monitoring network information, to produce advice for citizens via mobile software apps. The city council, environmentalists, bicycle advocates and hospital outpatient groups will assist the development of the final products. Conclusions: The CITI-SENSE Barcelona case study will develop citizen observatories to improve the quality of life in urban environments, facilitating the detection of air pollution and noise level limit breaches that may negatively impact citizens’ health and quality of life on a daily basis.

Infiltration or indoor sources as determinants of the elemental composition of particulate matter inside a school in Wrocław, Poland?

Children's exposure to air pollution requires a focus on air quality in places where they spend most time, e.g. in schools. Therefore, understanding how indoor elemental concentrations relate the outdoor ones is necessary to create healthy indoor school environment. The aims of this study were to examine the elemental composition of particulate matter (PM1, PM2.5, PM10) in the school and also to investigate to what degree indoor elemental concentrations are affected by outdoor air or generated inside the school. The measurements were performed inside and outside the public school building in the centre of the city. It was observed that concentrations of most elements were higher at school than outside. The dominant elements in PM1 both indoors and outdoors were S, Cl, K, and Zn. PM2.5 and PM10 fractions inside the school were clearly enriched in elements of mineral origin, additionally S, Zn, K and Cl were also present in high concentrations both indoors and outdoors. Results suggested that a significant contribution to indoor Zn, Pb and S concentrations in the PM2.5 fraction was from penetration of outdoor air. 88%, 80% and 90% of the observed total variations in indoor concentrations of Zn, Pb, and S were explained by the linear relationship between indoor and outdoor concentrations. The lack of correlation between indoor and outdoor concentrations obtained for Si, Ca, Ti, Sr indicated that these metals were more likely to originate from indoor sources.