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Ambiente Construído

On-line version ISSN 1678-8621

Ambient. constr. vol.18 no.1 Porto Alegre Jan./Mar. 2018

http://dx.doi.org/10.1590/s1678-86212018000100232 

Artigos

Impact of human activities on the concentration of indoor air particles in an antarctic research station

Impacto das atividades humanas na concentração de partículas aéreas no interior de uma estação de pesquisa antártica

Erica Coelho Pagel1 

Neyval Costa Reis Júnior1 

Cristina Engel de Alvarez1 

Jane Méri Santos1 

1Universidade Federal do Espírito Santo. Vitória - ES - Brasil

Abstract

One of the main characteristics of Antarctic buildings is the fact that they are designed mostly with a focus on energy efficiency. Although human activity is a major source of pollution, indoor air quality is not a matter of significant concern during building planning. This study examines the relationship between indoor activities in an Antarctic Research Station and the size distribution of particulate matter. Real-time particle size distribution data is used in conjunction with time-activity data. The activity number ratio is calculated using the mean number of particles found in each size range during each activity divided by the average number of particles found during a period characterized by the absence of human activities. Cooking, the use of cosmetics, waste incineration and exhaust from light vehicles were responsible for significant deterioration of indoor air related to the presence of fine and ultrafine particles. Cleaning, physical exercise and the movement of people were responsible for the emission of coarse particles. This article emphasizes the importance of post-occupancy evaluation of buildings, generating results relevant to the planning and layout of new buildings, especially regarding better indoor air quality.

Keywords: Particulate matter; Indoor air quality; Human activities; Size distribution; Antarctic Research Station

Resumo

Uma das principais características das construções antárticas é o fato que boa parte do esforço projetual é concentrado na eficiência energética. Embora a atividade humana seja a maior fonte de poluição, a qualidade do ar interior não é uma questão com significativa preocupação durante o planejamento da construção. Este estudo investigou a relação entre as atividades internas em uma Estação de Pesquisa Antártica e a distribuição dos tamanhos das partículas. Dados de distribuição do tamanho das partículas são plotados em tempo real em conjunção com os registros das atividades. A taxa de atividade é calculada usando o número médio de partículas encontradas em cada faixa de tamanho, durante cada atividade, dividido pelo número médio de partículas encontradas durante o período sem atividade humana. Cocção, uso de cosméticos, incineração de resíduos e exaustão de veículos são responsáveis pela deterioração do ar interno relacionada com a presença de partículas finas e ultrafinas. Limpeza, exercício físico e trânsito de pessoas, são responsáveis pela emissão de partículas grossas. Este artigo reforça a importância da avaliação pós-ocupação de edifícios, gerando resultados relevantes ao planejamento e layout das novas construções principalmente no que se diz respeito a uma melhor qualidade do ar interno.

Palavras-chave: Material particulado; Qualidade do ar interno; Atividades humanas; Distribuição de tamanho; Estação de Pesquisa Antártica

Introduction

The geographic isolation of Antarctica, which is provided by the Antarctic Ocean, as well as its extreme climate, results in complex conditions that require major logistical efforts to make human presence possible on this vast continent. Thus, scientific research stations are essential for maintaining researchers in Antarctica. In spite of the differences between construction layouts and building materials (VARGAS et al., 2013), most of the human activities performed indoors are quite similar, such as cooking, using cosmetics, cleaning, physical exercise, building maintenance and the movement of people. In addition, one of the main characteristics of Antarctic buildings is the fact that they are mostly designed focusing on energy efficiency, mainly regarding energy consumption and thermal comfort. Indoor air quality is not a matter of significant concern during building planning, especially for the older research stations.

In this context, the presence of indoor particulate matter (PM) is a significant matter of concern as it is associated with short-term health effects, such as eye, nose and throat irritation; headaches; dizziness; and fatigue. Thus, it contributes to the symptoms of Sick Building Syndrome (LIN et al., 2016), associated to long-term exposure to ambient particulate matter with increased mortality from cardiovascular and respiratory disorders (ANNESI-MAESANO et al., 2007; HAMPEL et al., 2015).

Previous studies indicate that human activities can be the main source of PM in indoor air and can generate particles with a wide variety of diameters (BRANIŠ; ŘEZÁČOVÁ; DOMASOVÁ, 2005; HE et al., 2004; SEAMAN; BENNETT; CAHILL, 2009). Fine particles with diameters less than 2.5 µm (PM2.5), in non-smoking indoor environments, primarily originate from human activities that involve combustion processes, such as cooking (TAN et al., 2013) or incineration (BUONANNO; MORAWSKA, 2014). Particularly for urban buildings, there is also a strong correlation of these particles with the presence of external sources (VIANA; DÍEZ; RECHE, 2011) as they are small and tend to infiltrate buildings, even when the windows are closed (SANTOS et al., 2011).

The concentration of coarse particles (>PM2.5) in indoor air may be associated with cooking and/or resuspension of particles from cleaning, the movement of people (BRANIŠ; ŘEZÁČOVÁ; DOMASOVÁ, 2005) or the presence of people (MARÈ; LEITE, 2013). Geller et al. (2002) points out that activities such as vacuum cleaning, sweeping, dusting furniture and washing carpets account for 50-80% of the particles in a 2-10 µm range in indoor environments. While the contribution of outdoor particles at this size range varies between 10 and 40% and usually decreases as the diameter increases (TRAN et al., 2014).

Due to the almost pristine air quality in the Antarctic environment, indoor sources are the primary matter of concern and particle infiltration may not be a significant problem because pollutant penetration may occur only due to local sources related to station activities, such as vehicle operation nearby, waste incineration or energy generation.

In spite of the importance of the indoor air quality in Antarctic buildings, most of the reported studies are focused on the outdoor particles (MISHRA et al., 2004; PANT; SIINGH; KAMRA, 2011; PEREIRA; LOUREIRO; VASCONSELLOS, 1992; TEINILÄ et al., 2014). One of the first reported studies aimed at indoor air quality in an Antarctic Research Station was presented by Pagel et al. (2016), who demonstrated that indoor/outdoor concentration ratios (I/O) for PM10 and PM2.5 are considerably larger for Antarctic stations compared to urban environments. The study performed a physicochemical characterization of the indoor particles, highlighting the importance of indoor sources for the air quality inside the research station. In addition, the authors also presented a particle number concentration time series for a common use environment (living room) and attempted to correlate the particle number concentration with human activities, such as cleaning, making lunch or breakfast or incinerator usage.

In this paper, this methodology is extended to identify the relation between human activities and its effect upon particle size distribution. Considering this, particle size distribution time series are recorded in various station compartments so that the concentration increase at each particle size range caused by each activity can be identified. Real-time particle size distribution data is used in conjunction with time-activity data to provide information on the concentration and origin of indoor particles (ABT et al., 2000). Time-series of mass and number concentration for 31 particle size bins ranging from 0.25 µm to >32 µm at a 1-min frequency are used to calculate the size distribution of the activity number ratio, i.e. the mean number of particles found in each size range during each activity divided by the average number of particles found during a period characterized by the absence of human activities. This information may be useful to make suitable choices concerning air quality control strategies.

Material and methods

The experiments were carried out at the Brazilian Comandante Ferraz Antarctic Station (EACF), which is located in Admiralty Bay on King George Island at 62º05' S; 58º24 W and is populated by a group of approximately 65 people, consisting of both civilians and military personnel, who are allowed to stay in the station for periods ranging from one month to one year. The EACF was founded in 1984 and consisted of eight metal containers measuring 150 m² to accommodate up to 12 people. It underwent extensive renovation, and by 2012, the surface area was approximately 2500 m². In some compartments, which benefited from air heating systems and where there are windows, they were normally used to refresh the recycled indoor air (subject to weather conditions).

On February 25, 2012, a major fire destroyed the buildings that were the main part of the station. Considering the need to reconstruct the destroyed buildings and the possibility of using evaluation results from the useful life of the station in various areas of knowledge, in 2013 the Brazilian Antarctic Program ran an international competition to select the best design and subsequent construction of the new building at the EACF. The criteria established to guide the candidates and select the winners highlighted the concept of sustainability, including parameters of indoor air quality, which was a direct consequence of this work (INSTITUTO…, 2013).

Figure 1 shows a schematic representation of the station, indicating the sampling points for the field experiment. The station is divided into two large environments consisting of:

Figure 1 Aerosol spectrometer monitoring sites in the EACF 

  1. conditioned compartments; and

  2. unconditioned compartments.

The conditioned compartments are the living quarters of the station personnel, including the dormitories (arsenal group dormitory - AGD, bedrooms 10 and 21), gym, library, living room, kitchen and bathrooms. The unconditioned compartments are the service and utility areas, which include the station maintenance workshop, energy generation, waste disposal, garage, storage and a transition area (TA) between the operating sectors. The conditioned areas have heating, whereas the unconditioned areas only have basic protection from the outside weather (no temperature control). This arrangement is very common in Antarctic stations in general because of the severe weather conditions, especially during winter, which restricts the movement between detached buildings. Thus, service areas are usually linked by a protected covered environment (TA), while living quarters and laboratories are conditioned environments.

In the compartments with air heating systems, windows are regularly left open to renew indoor air (subject to weather conditions) as there is no mechanical ventilation system in the building. The unconditioned compartments have natural ventilation via the access doors to the TA.

Field experiments were conducted between 13 January and 3 February, 2012, during the Antarctic summer when there is maximum station occupancy. Particles were measured in eight compartments, which were occupied for longer periods of time and involved common activities to Antarctic stations with potential sources of air pollution, such as cooking, cleaning, physical exercise, personal care, waste incineration and vehicle traffic

In addition to particle measurements, a field log book was made available to residents in each site to register their daily activities instantly. Furthermore, a spreadsheet based on EN ISO 16000-1/2006 for indoor air quality assessment (INTERNATIONAL…, 2006) was completed for all compartments. In this spreadsheet, the following was recorded: the time of the beginning and end of each typical activity carried out in the environment; the number of people who normally occupied the space and the number of people that occupied the space during sampling; if the occupants smoked or not, as well as methods and products used for cleaning the environment and furniture. Other information, such as the sampling location, ventilation conditions before and during monitoring, building materials and environmental conditions were also recorded.

Indoor particles were analyzed using an Optical Laser Aerosol Spectrometer (LAS - Dust Monitor 1.109, Grimm Technologies, Germany) that measures 31 particle size bins ranging from 0.25 µm to >32 µm at a 1-min frequency. This spectrometer works at a constant air flow rate controlled by a pump previously calibrated at 1.2 L/min ± 5% and gives the mass and number concentration of the particles distributed by diameter. The temperature, humidity and air velocity were also measured. The sampler was placed 1.5 m high and the measurements were carried out over 24 hours in all the compartments.

Results and discussion

The results are divided into three main sections, where each type of room use is analyzed. The first part explores common use areas, such as the library, living room and gym, where the nature of the activity is a dominant factor for the characteristics of particle emission. Secondly, the results for three dormitories are presented, focusing on the characterization of the particle emission related to each activity, but accounting for the differences between each room. The third part explores the characteristics of particle emission in relation to the type of activity performed in the service areas of the station (incinerator area and workshop).

The 24-h mean temperature recorded in the conditioned and unconditioned areas was 25.9 and 8.6ºC, respectively. In Figure 2, it can be observed that there are only minor variations of the temperature during the activities, while the relative humidity seems to be more sensitive to the activities performed in the rooms. As expected, the 24-h mean relative humidity was lower in the conditioned areas (26.9 %) than in the unconditioned ones (53.8 %).

Figure 2 Measurements of numerical concentrations of Total Suspended Particles (TSP), temperature (T) and relative humidity (RH) 

Common use areas

There are three main common use areas for the station occupants: living room, library and gym. The living room is an area mainly devoted to social gatherings, recreation and meals, and is the most used compartment during non-working hours. In EACF, the living room is attached to the kitchen (connected by an open doorway), and thus directly affected by the emissions from cooking. The library and gym are moderately used by station personnel. The library is characterized by moderate use throughout the day (a small number of people without a fixed schedule), while the gym is characterized by intense use for a short period of time (significant number of people after working hours).

Figure 2 shows the mean hourly number concentration of Total Suspended Particles (TSP) over a 24-hour monitoring period in the living room, library and gym. The particle number peaks can all be related to human activity inside the rooms, according to the information in the field diary, except for the second concentration peak found in the gym during the monitored period (Figure 3c). At that time, a barbecue was held at a gathering in the transition area near the workshop, which likely influenced the results obtained in the gym.

Figure 3 Size distribution of mass concentration for particles 

Interestingly, although the barbecue did not take place directly within the monitored environment, it exerted a major influence on the particle concentrations, especially fine fraction. Various studies have reported the effects of burning charcoal in barbecues increasing the number of fine particles (LEE; LI; YIN CHAN, 2001; TANER; PEKEY; PEKEY, 2013). The barbecue at the EACF is associated with a cultural practice and may not happen at other research stations in other countries. Despite the fact that the activity is very rare (approximately once a month), it must be taken into consideration for indoor air quality control strategies as the measured values are significantly higher and the event influences various rooms in the station.

In order to explore the specificities of the emission profile of each activity, it is interesting to analyze the average size distribution for mass concentration of particles during the activities in each room, which is presented in Figure 3.

For all activities, mass concentration distributions tend to present peaks in the range of 2.5 to 10µm and around 10 µm (between 8.5 and 15 µm). In fact, a considerable fraction of the mass is in the range of 2.5 to 10µm (32 to 55% of the total mass). Nonetheless, there are marked differences between emission size distributions for each activity. For instance, the living room presents a marked concentration of submicron particles as the amount of time spent on cooking, burnt food and different cooking techniques, such as more frying using cooking oil, influences particle concentration, particularly, the fine fractions of PM (GÉHIN; RAMALHO; KIRCHNER, 2008; TAN et al., 2013). This trend is more marked during breakfast, which is characterized by a long period of bread baking. Abt et al., (2000) reported that oven cooking and toasting contributed primarily to submicron particles and frying contributed to submicron and supermicron particles.

The coarse fractions of PM tend to be emitted while people are moving (FROMME et al., 2007). Considering this, it can be observed that during social gatherings, cleaning and physical exercise use, there is a higher significant increase of mass concentration of particles around 10µm. Figure 4 shows the size distribution of the activity number ratio, i.e., the mean number of particles found at each size range for an interval of three hours with some activities divided by the average number of particles found for an interval of three hours characterized by no human activities. Figure 4a shows that during activities involving cooking (breakfast, lunch and dinner), there is a significant increase in the concentration of submicron particles, presenting an activity number ratio of up to 20 for certain size ranges. While for other activities (social gatherings, cleaning and physical exercise), the activity number ratio peaks around 10µm. It is interesting to note that although the activity number ratio peaks around 10µm for library use, there is also another peak for submicron particles, which may be related to book handling.

Figure 4 Size distribution of the activity number ratio 

Dormitories

As shown in Figure 1, there are two types of dormitories in the station:

  1. accommodation for two people without a bathroom; and

  2. collective accommodation housing 12 people with an attached bathroom.

This section presents the results for three dormitories: accommodation for two people (cabins 10 and 21) and collective accommodation AGD. The accommodation areas are used during non-working hours and are therefore unoccupied throughout most of the day.

Figure 5 shows the mean hourly number concentration of Total Suspended Particles (TSP) over a 24-hour monitoring period in cabin 10, cabin 21 and AGD. It can be observed that there are two main peaks in the particle number concentration for cabins 10 and 21 (Figures 5a and 5b). These peaks coincide with the periods when their occupants got up, went to bed and used personal care products according to the information in the field diary, in which the residents recorded the cosmetic products that were used at each location and how often they used them, as well as other activities that were carried out. On the other hand, there are four main peaks in the particle number concentration for AGD (Figure 5c). Analogously to cabins 10 and 21, the number concentration peaks for AGD coincide with the periods when their occupants got up, went to bed and used personal care products (23:00-01:00 and 07:00-09:00), nonetheless there are additional concentration peaks around 13:00 and 18:00. These peaks correspond to lunch time periods and the end of the working periods. In both cases, the occupants tend to use the dormitory and the attached bathroom.

Figure 5 Measurements of numerical concentrations of Total Suspended Particles (TSP), temperature (T) and relative humidity (RH) 

Another significant difference between AGD and cabins 10 and 21 is the maximum values of number concentration, presenting peak values during personal care activities nearly 10 times higher on average. This trend is probably related to the fact that AGD has an attached bathroom and most of the emission related to sprays or personal care products is performed inside the bathroom. Occupants of cabins 10 and 21 use a collective bathroom outside the cabin and most of the emissions are related to sprays or personal care products inside the cabin, according to the field log books. This clearly indicated the importance of the emission during personal care activities and may suggest that ventilation must be improved in the areas associated with this these activities.

Figure 6 presents the average size distribution for mass concentration of particles during the activities in each room. The mass concentration of particles in the range between 1.0 and 5.0 µm during the personal care and clothes movement activities is significantly higher in cabin 21 than in the other dormitories. The high concentration of PM in cabin 21 is likely related to the specific activities of hygiene and personal care, including the intensive use of spray products (as recorded in the field log book). These results show the influence of using sprays which generate fine particles leading to possible implications, considering that the most severe health effects are caused by smaller particles. Generally, fine particles inflict high levels of toxicity mainly due to the interaction of these particles with lung cells (GODISH, 2003).

Figure 6 Mass concentration distribution for particle sizes for each selected interval (a) personal care/movement of clothes, (b) human presence/sleeping and (c) no human activity 

These products are known to provide high particle concentrations in indoor air over a short period, which corresponds to the time that is required for application and use. Increased concentrations of indoor pollutants due to personal care activities using products such as deodorants, perfumes, talcum powder, make-up and cosmetics have been documented in various studies (CONNER; WILLIAMS, 2004; UHDE et al., 2015; WALLACE et al., 2006). For cabin 10 and AGD, the maximum mass concentration is around the 8.5 to 12.5 µm range, which may suggest that in the absence of spray products, larger particles are more dominant and probably related to the movement of people and clothes. This behavior can be observed more clearly when the concentration during the activity (Figure 6a) is compared with the concentration during the period without any human activity in the room (Figure 6c).

The mass ratio (TSP- PM2.5)/ PM2.5 is equal to 11 for AGD, while for dormitories 10 and 21 this ratio is 2.26 and 2.86, respectively, which indicates a substantial change in the size distribution of the emitted particles. Furthermore, cabins 10 and 21 and the AGD, 30%, 28% and 8%, respectively, of the mass fraction monitored over 24 hours corresponds to PM2.5. This result demonstrated that the spatial configuration and the activities related to the movement of people and clothes, dust resuspension from the floor and furniture are more significant in AGD.

During sleeping time, concentration patterns resemble the size distribution during the periods with no human presence, although the concentration values during these periods are considerably higher (around two times).

Service areas

As explained previously, the unconditioned compartments are the service and utility areas, which include the station maintenance workshop, energy generation room, waste disposal area, garage, storage and a TA between the operating sectors. Due to the more intense particle emission in the maintenance workshop and waste disposal area, these two were selected for monitoring.

The Madrid Protocol (BRASIL, 1998), linked to the Antarctic Treaty, establishes strict rules regarding environmental preservation of the Antarctic environment, such as controlled access of people and transport in the continent. Considering this, incineration of organic residue is allowed but controlled, and the return of all non-bio-degradable waste to the country of origin is strictly recommended. Therefore, the waste disposal area is mainly devoted to non-bio-degradable waste storage and incineration. The main source of particulate emissions in this area is from incinerator operations (loading and burning).

Workshops in Antarctic stations are work areas mainly used for building maintenance activities. In Brazilian stations, they include are welding, painting, sawing, vehicle transit and the movement of people due to their proximity to the TA.

Figure 7 shows a mean hourly number concentration over a 24-hour monitoring period in the waste disposal area and workshop. Monitoring in the waste disposal area was performed on a typical day of an incineration operation, which consisted of two steps:

Figure 7 Time evolution of mean hourly number concentration of Total Suspended Particles (TSP), temperature (T) and relative humidity (RH) over a 24-hour monitoring period 

  1. waste handling and loading operation; and

  2. incinerator firing.

The entire operation started approximately at 10:00 and the incinerator was turned off at 20:00. It can be observed that there was an increase in the particle number concentration during the loading operation, but the concentration peaked during incineration. In fact, the large number of particles in this area during incinerator operation indicates that although the incinerator is equipped with a gas treatment device for exhaust gases, fugitive emissions are very significant. From 17:00 the incinerator increased the number of particles emitted due to its operation. At 20:00, when it was turned off, there was a record of the peak mean hourly concentration of TSP of 906.93 particles/cm³.

During loading operation, the emission is characterized by the presence of larger particles, while during incineration the finer particles are dominant (BUONANNO; MORAWSKA, 2014). This trend is clearly noticeable in Figure 8a, which presents the average size distribution for mass concentration of particles during the activities. Although the number of particles during the incinerator operation was considerably larger than during the loading operation, the particle mass concentration was significantly smaller. This is due to the fact that incineration predominantly generates fine particles (MAMANE, 1990; MAO et al., 2007). Considering this, the larger mass concentration values were measured during the loading operation and the peak concentrations of TSP, PM10, PM2.5 and PM1 at this time were 704.34, 211.88, 13.29 and 4.73 µg/m³, respectively.

Figure 8 Average size distribution for mass concentration of particles during the activities 

For the workshop, two number concentration peaks occurred between 14:00 and 18:00 on Thursday, and between 8:00 and 12:00 on Friday, which represent the hours of the work day (Figure 7b). The maximum numerical TSP values were 2347.95 particles/cm³ at 17:00 on Thursday and 1742.86 particles/cm³ at 11:00 on Friday. During these concentration peaks, measured mass concentration reached a maximum hourly average of 1623.09, 357.01, 68.87 and 54.69 µ g/m³ for TSP, PM10, PM2.5 and PM1, respectively. These values indicate that the ventilation of the compartment needs to be checked urgently as concentration values are considerably large for all size ranges.

The increase in the number and mass concentrations can be attributed to specific maintenance activities and to the movement of people during the day, which contributed to the suspension of particles that were deposited on the ground, as well as to natural ventilation through the large access gate.

It can be observed in Figure 8b that the majority of the mass emitted is associated to coarse particle, larger than 10 µm. Movement of people, mechanical abrasion and other related activities associated to maintenance and manufacturing tend to emit larger particles. Nonetheless, mass concentrations also increase in the submicron range, which is especially dangerous to health. Submicron particle emission can be related to welding vapor condensation or traffic of light duty vehicles in the TA area.

Conclusion

The results of this study show that activities that are performed during the operation of a research station affect the indoor concentration of air pollutants throughout the day. The analysis of the particle size distribution in terms of the number and mass showed a strong relationship between the diameters of the emitted particles and the type of activity. Waste incineration, cooking, use of personal care products and emission of exhaust from light vehicles increased the range of submicron particles. This observation is a matter of concern in an Antarctic station, where confinement is common in most locations due to the extreme weather conditions.

Incinerator loading and activities that involved dust resuspension from furniture or the ground, such as cleaning, the movement of people and physical exercise were responsible for increases in the average particle concentrations, mainly greater than a 10 µm diameter range.

This study reinforces the fact that the presence of humans and human activities in permanent buildings in the Antarctic may be a matter of concern if the population density increases without considering the lasting effects on air quality.

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Received: November 23, 2016; Accepted: April 21, 2017

Erica Coelho Pagel

Laboratório de Recursos Atmosféricos, Departamento de Engenharia Ambiental | Universidade Federal do Espírito Santo | Avenida Fernando Ferrari, 514, Goiabeiras | Vitória - ES - Brasil | CEP 29075-910 | Tel.: (27) 3335-2177 | E-mail: erica.pagel@gmail.com

Neyval Costa Reis Júnior

Departamento de Engenharia Ambiental, Centro Tecnológico | Universidade Federal do Espírito Santo | Tel.: (27) 3335-2177 | E-mail: neyval@inf.ufes.br

Cristina Engel de Alvarez

Departamento de Arquitetura e Urbanismo, Centro de Artes | Universidade Federal do Espírito Santo | Tel.: (27) 4009-2581 | E-mail: cristina.engel@ufes.br

Jane Méri Santos

Departamento de Engenharia Ambiental, Centro Tecnológico | Universidade Federal do Espírito Santo | Tel.: (27) 3335-2066 | E-mail: jmerisantos@yahoo.com.br

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