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A low-cost, low power consumption indoor environment monitoring instrument, called SKOMOBO (school monitoring box), was developed and tested. SKOMOBO includes sensors to monitor temperature/relative humidity, carbon dioxide (CO2), particulate matter and motions. SKOMOBO was developed using the open source hardware Arduino Pro Mini. This paper describes the process of building SKOMOBO, including sensor selection, printed circuit board design, sensor programming and performance evaluation. Two co-located tests have been undertaken; one in the controlled environment and one in the uncontrolled environment. Results show SKOMOBO measurements have high correlations with their commercial equivalents. In the two different testing environments, the R2 of temperature measurements for all six SKOMOBOs were 1. The R2 for relative humidity and CO2 measurements were above 0.9. The result of this work shows the reliability of SKOMOBO on monitoring indoor air quality.

Providing a good quality classroom environment where children can breathe in fresh air is important. However, investigating the Indoor Air Quality (IAQ) in large numbers of classrooms is often too costly because currently available commercial brands are too expensive for the majority of schools. We have been developing a low-cost Indoor Air Quality (IAQ) platform called SKOMOBO which can monitor important IAQ parameters such as classroom temperature, relative humidly, particular matter and carbon dioxide level. Because our platform is designed in-house and utilizes low-cost sensors, there is a significant cost reduction and is affordable. In this paper, we discuss the design and implementation of SKOMOBO with the focus in several hardware and software engineering issues to explore the right set of strategies for developing a practical system. Through extensive experiments and evaluation, we have determined the various characteristic and issues associated with developing a low-cost sensor platform and their practical implications and mitigations.

Children are particularly vulnerable to the health effects of air pollution and as they spend a large proportion of time at school, this is an important environment for children's exposure to air pollution. Understanding the factors that influence indoor air quality in schools is critical for the assessment and control of indoor air pollution. This study analysed the concentration and sources of air pollution at an urban primary school (5–11 years) in Wellington, the capital of New Zealand. Over a three-week period during spring, indoor measures of particulate matter (PM 2.5 , PM 10 ), temperature, humidity, carbon dioxide (CO 2 ) and nitrogen dioxide (NO 2 ) were taken and hourly air particulate matter samples (PM 2.5 , PM 10-2.5 ) were collected inside and outside for elemental speciation analysis. Indoor PM 10 concentrations during the school day were significantly (p < 0.001) higher than outdoor concentrations 30.1 (range 10.0–75.0, SD 1.9) μg m −3 c.f. 8.9 (range

This study investigates the thermal efficiency of a solar air heater (SAH), when it was mounted on a custom-made support frame, and was operated under different air mass flow rate. This SAH is composed of a transparent polycarbonate cover plate, a felt absorber layer, a perforated aluminium back plate and an aluminium frame. The ambient inlet air of this SAH is heated as it passes through the perforated back plate and over the felt absorber layer. The heated air is blown out through the outlet. Studies of SAHs with a similar design to this SAH were not found in the literature. The experiment was carried out at Massey University, Auckland campus, NZ (36.7° S, 174.7° E). The global horizontal solar irradiance, the ambient temperature and the wind speed were recorded using an on-site weather station. Temperature and velocity of the air at the outlet were measured using a hot wire anemometer. During the experiment, the air mass flow rate was between 0.022 ± 0.001 kg/s and 0.056 ± 0.005 kg/s. Results showed that when the SAH was operated at the airflow between 0.0054 kg/s and 0.0058 kg/s, the inlet air temperature and the wind speed (between 0 and 6.0 m/s) did not impact the temperature difference between the outlet air and the inlet air. The thermal efficiency of the SAH increased from 34 ± 5% at the airflow between 0.021 kg/s and 0.023 kg/s, to 47 ± 6% at the airflow ranging from 0.032 kg/s to 0.038 kg/s, to 71 ± 4% at the airflow of 0.056 ± 0.005 kg/s. The maximum thermal efficiency of 75% was obtained at the airflow of 0.057 kg/s. The effective efficiency of the SAH was 32 ± 5% at the airflow between 0.021 kg/s and 0.023 kg/s, 42 ± 6% at the airflow ranging from 0.032 kg/s to 0.038 kg/s, and 46 ± 11% at the airflow of 0.056 ± 0.005 kg/s.

Health problems and respiratory diseases are associated with indoor air particulate matter (PM) mass. This is specially a concern in schools as children spend most of their time indoors. Understanding factors that affect PM mass such as occupant activities, ventilation and the infiltrating outdoor environment are important to safeguard occupant health. We investigated the air quality inside and outside two low decile primary school classrooms (children ages 7–9) over a three-week period during the southern hemisphere winter season in Palmerston North, New Zealand. Both classrooms were heated with wall mounted inverter heat pumps and in addition one classroom roof was fitted with a solar air heated ventilation unit (treatment). Particulate matter was continuously sampled and monitored to identify particles less than 10 µm in aerodynamic diameter (PM 10) both outside and inside both classrooms to compare their indoor air quality. Significantly higher PM10 concentrations occurred within both classrooms during school hours (0845–1500), but the ventilated treatment classroom had PM10 concentrations on average 66% lower than those measured in the unventilated control classroom. Elemental composition and source apportionment of hourly samples showed that outdoor sources of PM 10 infiltrated indoors, with similar contributions in both classrooms to those measured outdoors. However, the increased PM10 in the classrooms was predominantly from crustal sources, thought to be soil tracked in from outside on children's footwear and re-suspended during activities within the classrooms. Our results indicate that ventilation plays an important role in the quality of indoor air of classrooms and will contribute to the wellbeing of the students. In addition, there is a need to improve dust exposure mitigation strategies (carpet cleaning regime, dust reducing carpet) in classrooms fitted with carpets.

Background In the context of inner-city housing intensification, exploring the association between outdoor and indoor air quality is important to quantify any potential health risks. Methods We undertook a cross-sectional case study on 50 residences in an inner-city neighbourhood scheduled for urban development, bisected by a busy road. We measured indoor and outdoor NO2, indoor temperature, and undertook a survey on demographic factors and household NO2 sources. We performed a linear regression to examine the association between indoor and outdoor NO2 (measured at the building facade) adjusting for potential confounders. Results Mean indoor and outdoor levels of NO2 were 8.4 and 12.5 μg/m3 respectively. The unadjusted model showed no significant association between indoor and outdoor NO2. In the fully-adjusted model, a 1 % increase in outdoor NO2 was associated with a 5 % increase in indoor NO2 (95 %CI: 1.2–8.8%). Conclusion A weak association between indoor and outdoor NO2 was found. More intensive housing development in a transport corridor may be possible; however given the health risks of induced by air pollutants starts even at levels below WHO recommended levels, urban policy measures to reduce indoor and ambient air pollution are required.

A low-cost, low power consumption indoor environment monitoring device, called SKOMOBO (SKOol Monitoring Box), was developed. SKOMOBO includes the sensors to monitor temperature/relative humidity, carbon dioxide, particulate matter (PM) and motion (PIR). SKOMOBO was developed using the open source software on Arduino Pro Mini. 165 units of SKOMOBO were manufactured at Massey University (New Zealand) in September 2017. These units were then deployed across New Zealand to monitor the indoor air quality in primary school classrooms. This paper describes the practical deployment issues we faced and lessons learnt prior/during the field study aimed at understanding the connection between the air quality and student performance. We believe that the discussion in this paper is of importance and could potentially save a lot of money and effort for other similar sensor products.

The United Nations “25 × 25 Strategy” of decreasing non-communicable diseases (NCDs), including cardiovascular diseases, diabetes, cancer and chronic respiratory diseases, by 25% by 2025 does not appear to take into account all causes of NCDs. Its focus is on a few diseases, which are often linked with life-style factors with “voluntary” “modifiable behavioral risk factors” causes tending towards an over-simplification of the issues. We propose to add some aspects of our built environment related to hazardous building materials, and detailed form of the construction of infrastructure and buildings, which we think are some of the missing causes of NCDs. Some of these could be termed “involuntary causes”, as they relate to factors that are beyond the control of the general public.

There is growing evidence that asthma symptoms can be aggravated or events triggered by exposure to indoor nitrogen dioxide (NO(2)) emitted from unflued gas heating. The impact of NO(2) on the respiratory health of children with asthma was explored as a secondary analysis of a randomised community trial, involving 409 households during the winter period in 2006 (June to September). Geometric mean indoor NO(2) levels were 11.4 μg · m(-3), while outdoor NO(2) levels were 7.4 μg · m(-3). Higher indoor NO(2) levels (per logged unit increase) were associated with greater daily reports of lower (mean ratio 14, 95% CI 1.12-1.16) and upper respiratory tract symptoms (mean ratio 1.03, 95% CI 1.00-1.05), more frequent cough and wheeze, and more frequent reliever use during the day, but had no effect on preventer use. Higher indoor NO(2) levels (per logged unit increase) were associated with a decrease in morning (-17.25 mL, 95% CI -27.63- -6.68) and evening (-13.21, 95% CI -26.03- -0.38) forced expiratory volume in 1 s readings. Outdoor NO(2) was not associated with respiratory tract symptoms, asthma symptoms, medication use or lung function measurements. These findings indicate that reducing NO(2) exposure indoors is important in improving the respiratory health of children with asthma.

OBJECTIVE: To assess whether non-polluting, more effective home heating (heat pump, wood pellet burner, flued gas) has a positive effect on the health of children with asthma. DESIGN: Randomised controlled trial. SETTING: Households in five communities in New Zealand. PARTICIPANTS: 409 children aged 6-12 years with doctor diagnosed asthma. INTERVENTIONS: Installation of a non-polluting, more effective home heater before winter. The control group received a replacement heater at the end of the trial. MAIN OUTCOME MEASURES: The primary outcome was change in lung function (peak expiratory flow rate and forced expiratory volume in one second, FEV(1)). Secondary outcomes were child reported respiratory tract symptoms and daily use of preventer and reliever drugs. At the end of winter 2005 (baseline) and winter 2006 (follow-up) parents reported their child's general health, use of health services, overall respiratory health, and housing conditions. Nitrogen dioxide levels were measured monthly for four months and temperatures in the living room and child's bedroom were recorded hourly. RESULTS: Improvements in lung function were not significant (difference in mean FEV(1) 130.7 ml, 95% confidence interval -20.3 to 281.7). Compared with children in the control group, however, children in the intervention group had 1.80 fewer days off school (95% confidence interval 0.11 to 3.13), 0.40 fewer visits to a doctor for asthma (0.11 to 0.62), and 0.25 fewer visits to a pharmacist for asthma (0.09 to 0.32). Children in the intervention group also had fewer reports of poor health (adjusted odds ratio 0.48, 95% confidence interval 0.31 to 0.74), less sleep disturbed by wheezing (0.55, 0.35 to 0.85), less dry cough at night (0.52, 0.32 to 0.83), and reduced scores for lower respiratory tract symptoms (0.77, 0.73 to 0.81) than children in the control group. The intervention was associated with a mean temperature rise in the living room of 1.10 degrees C (95% confidence interval 0.54 degrees C to 1.64 degrees C) and in the child's bedroom of 0.57 degrees C (0.05 degrees C to 1.08 degrees C). Lower levels of nitrogen dioxide were measured in the living rooms of the intervention households than in those of the control households (geometric mean 8.5 microg/m(3) v 15.7 microg/m(3), P

The indoor climate was investigated in 25 dwellings during the winter of 2005, in the Hutt Valley region (Greater Wellington, New Zealand). A temperature/relative humidity sensor and a fungal detector were attached to the indoor side of the external wall in the living room and in the asthmatic child's bedroom for an average period of 42 days. Germinated spores in the fungal detector were counted under a microscope. Only 2% of the Aspergillus penicillioides, 6% of the Eurotium herbariorum and 22% of the Alternaria alternata inclusions, showed germination of spores. Severe visible mould contamination was observed in only 12% of rooms studied. Consistent with these results, the measured average temperature of 16.7°C ± 0.2°C and relative humidity of 63% ± 1% were lower than normally considered necessary for significant mould development. To confirm these results, the experiment will be repeated in the same dwellings during the winter of 2006.