A novel rule mining method for knowledge discovery of relationships among indoor air quality, HVAC operation and occupants’ activities DOI Creative Commons

Xinyi Sha,

Zhenjun Ma, Subbu Sethuvenkatraman

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 260, P. 111670 - 111670

Published: May 24, 2024

This paper presents a novel data mining method to discover the occurrence time, co-occurrence and sequential association rules among indoor air quality (IAQ), Heating, Ventilation Air Conditioning (HVAC) operations occupants' activities. The novelty of this work includes peak detection pollutants' peaks rule with extended selection criteria that considers both time lags between events relationships multiple events. aimed use moving windows find candidate non-maximum suppression filter overlapped peaks. proposed is based on Apriori Apriori-All by labeling various times limiting occurrences rules. Two datasets, one from 70 houses single commercial building, were used evaluate performance data-driven method. results showed 93.19% matched detected records. CO2 peaked frequently at 12:00, 17:00 19:00 24:00. activities could lead concentrations pollutants within 2 hours in residential buildings. high Wifi connection number was followed building. These findings can support development control strategies for building HVAC systems achieve better control.

Language: Английский

Application of the low-cost sensing technology for indoor air quality monitoring: A review DOI Creative Commons
Juliana P. Sá, M.C.M. Alvim-Ferraz, F.G. Martins

et al.

Environmental Technology & Innovation, Journal Year: 2022, Volume and Issue: 28, P. 102551 - 102551

Published: April 12, 2022

In recent years, low-cost air pollution technologies have gained increasing interest and, been studied widely by the scientific community. Thus, these new sensing must provide reliable data with good precision and accuracy. Accordingly, this review aimed to evaluate compare technology against other instruments used for comparison various studies from literature monitor indoor quality in different environments. After exclusions, a total of 42 divided into two subsections (11 laboratory 31 field studies) were analysed considering their aim, location, study duration, sampling area, pollutant(s) evaluated, sensor/device instrument comparison, performance indexes main outcomes. The reviewed assess sensors/devices comparison. vast majority took place USA. mainly conducted controlled chamber, performed homes, offices, educational buildings, among others. both cases, particulate matter was most assessed pollutant, either commercial devices (e.g.: Speck, Dylos, Foobot) or sensors (e.g. Sharp GP2Y1010AU0F). general, based on statistical parameters, tested presented moderate correlations revealing sufficient monitoring microenvironments, especially qualitative analysis. is encouraged, but not waiving relevance high (mainly reference instruments).

Language: Английский

Citations

86

Review of low-cost sensors for indoor air quality: Features and applications DOI Creative Commons
Milagros Ródenas, Andrea Spinazzè, P.T.B.S. Branco

et al.

Applied Spectroscopy Reviews, Journal Year: 2022, Volume and Issue: 57(9-10), P. 747 - 779

Published: June 27, 2022

Humans spend the majority of their time indoors, where they are potentially exposed to hazardous pollutants. Within this context, over past few years, there has been an upsurge low-cost sensors (LCS) for measurement indoor air pollutants, motivated both by recent technological advances and increased awareness quality (IAQ) its potential negative health impacts. Although not meeting performance requirements reference regulatory-equivalent monitoring LCS can provide informative measurements, offering opportunity high-resolution monitoring, emission source identification, exposure mitigation managing IAQ energy efficiency, among others. This article discusses strengths limitations that offer applications in field monitoring; it provides overview existing sensor technologies gives recommendations different applications, considering complex environment discussing future trends.

Language: Английский

Citations

75

Source identification and mitigation of indoor air pollution using monitoring data – Current trends DOI Creative Commons
H. Chojer, P.T.B.S. Branco, F.G. Martins

et al.

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 33, P. 103534 - 103534

Published: Jan. 8, 2024

Poor indoor air quality is responsible for around 3.2 million premature deaths each year. Accurately identifying pollution (IAP) sources a quintessential step towards mitigating pollutants and associated health risks. Traditionally, receptor models have been used however, recently, new source identification methods risen, which use real-time continuous monitoring data. In this review, the state-of-art in mitigation trends using IAP are critically analysed. Thirty-two research articles were reviewed with emphasis on along monitoring: environments monitored, pollutants, methods, found. Receptor factor analysis still most prevalent method. Meanwhile, of has rapidly increasing. Even low-cost sensors (LCS) started to be sources. This review proposes method implementing identification. It also hypothesises novel hybrid approach both traditional samplers can simultaneously preventive as well reactive measures. The LCS supplement proposed, owing their ubiquity. However, technologies need advance further assure reliability.

Language: Английский

Citations

19

Public engagement with air quality data: using health behaviour change theory to support exposure-minimising behaviours DOI Creative Commons
Amy McCarron, Sean Semple, Christine F. Braban

et al.

Journal of Exposure Science & Environmental Epidemiology, Journal Year: 2022, Volume and Issue: 33(3), P. 321 - 331

Published: June 28, 2022

Abstract Exposure to air pollution prematurely kills 7 million people globally every year. Policy measures designed reduce emissions of pollutants, improve ambient and consequently health impacts, can be effective, but are generally slow generate change. Individual actions therefore supplement policy more immediately people’s exposure pollution. Air quality indices (AQI) used (though not universally) translate complex data into a single unitless metric, which paired with advice encourage behaviour Here we explore, reference theories, why these frequently insufficient instigate individual We examine the theoretical steps linking reduced (consequently) improved public health, arguing that combination ‘personalised’ greater engagement will together better support action. Based on this, present novel framework, which, when shape interventions, has potential yield effective sustainable interventions exposures thus global burden

Language: Английский

Citations

49

Quantifying the dynamic characteristics of indoor air pollution using real-time sensors: Current status and future implication DOI Creative Commons
Jinze Wang, Wei Du,

Yali Lei

et al.

Environment International, Journal Year: 2023, Volume and Issue: 175, P. 107934 - 107934

Published: April 18, 2023

People generally spend most of their time indoors, making indoor air quality be great significance to human health. Large spatiotemporal heterogeneity pollution can hardly captured by conventional filter-based monitoring but real-time monitoring. Real-time is conducive change assessment mode from static and sparse analysis dynamic massive analysis, has made remarkable strides in evaluation. In this review, the state art, strengths, challenges, further development sensors used evaluation are focused on. Researches using for have increased rapidly since 2018, mainly conducted China USA, with frequently investigated pollutants PM2.5. addition high resolution, prominent advantages 3-dimensional monitoring, peak source identification, short-term health effect Huge amounts data also facilitate modeling prediction pollution. However, challenges still remain extensive deployment including selection, performance, stability, as well calibration sensors. future, long-term low price, energy consumption welcomed. Furthermore, more target expected detected simultaneously

Language: Английский

Citations

37

Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors DOI Creative Commons
Dimitrios Bousiotis, Leah-Nani Alconcel, David C. S. Beddows

et al.

Environment International, Journal Year: 2023, Volume and Issue: 174, P. 107907 - 107907

Published: March 31, 2023

Air quality is one of the most important factors in public health. While outdoor air widely studied, indoor environment has been less scrutinised, even though time spent indoors typically much greater than outdoors. The emergence low-cost sensors can help assess quality. This study provides a new methodology, utilizing and source apportionment techniques, to understand relative importance pollution sources upon methodology tested with three placed different rooms inside an exemplar house (bedroom, kitchen office) When family was present, bedroom had highest average concentrations for PM2.5 PM10 (3.9 ± 6.8 ug/m3 9.6 12.7 μg/m3 respectively), due activities undertaken there presence softer furniture carpeting. kitchen, while presenting lowest PM both size ranges (2.8 5.9 4.2 6.9 presented spikes, especially during cooking times. Increased ventilation office resulted PM1 concentration (1.6 1.9 μg/m3), highlighting strong effect infiltration smallest particles. Source apportionment, via positive matrix factorisation (PMF), showed that up 95 % found be all rooms. reduced as particle increased, contributing >65 PM2.5, 50 PM10, depending on room studied. approach elucidate contributions total exposure, described this paper, easily scalable translatable locations.

Language: Английский

Citations

36

Indoor air quality monitoring and source apportionment using low-cost sensors DOI Creative Commons
Christina Higgins, Prashant Kumar, Lidia Morawska

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(1), P. 012001 - 012001

Published: Jan. 1, 2024

Abstract Understanding of the various sources indoor air pollution requires quality (IAQ) data that is usually lacking. Such can be obtained using unobtrusive, low-cost sensors (LCS). The aim this review to examine recent literature published on LCS for IAQ measurements and determine whether these studies employed any methods identify or quantify pollution. Studies were reviewed in terms source apportionment employed, as well microenvironment type, geographical location, several metrics relating contribution outdoor pollutant ingress versus potential sources. We found out 60 relevant studies, just four apportionment, all which utilised receptor models. Most undertaken residential educational environments. There a lack other types microenvironments locations outside Europe North America. are inherent limitations with producing This applies external data, however even more challenging measure due its characteristics. environment heterogeneous, significant variability within space between different locations. Sensor placement, occupancy, activity reports, locations, contribute understanding variability. Outdoor pollutants into via building envelope, measurement environmental conditions, recording details fabric ventilation help apportion contributions. Whether not models from LCS, there parameters which, if carefully considered during campaigns, aid identification pollutants.

Language: Английский

Citations

9

Using low-cost sensors to assess common air pollution sources across multiple residences DOI Creative Commons

Catrin Rathbone,

Dimitrios Bousiotis,

Owain G. Rose

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 13, 2025

Abstract The rapid development of low-cost sensors provides the opportunity to greatly advance scope and extent monitoring indoor air pollution. In this study, calibrated particle matter (PM) a non-negative matrix factorisation (NMF) source apportionment technique are used investigate PM concentrations contributions across three households in an urban residential area. NMF is applied combined data from all houses generate profiles that can be understand how characteristics similar or differ between different same 2.5 10 were greater, more variable, significantly ambient recorded at nearby site. Concentrations also houses, with World Health Organisation 24-h guideline limits for breached one household. methodology was highly successful modelling (R 2 $$\ge$$ 0.983), finding I/O (indoor outdoor sources ratio) lowest 1 (down 0.08), greatest (up 4.93). Whilst could not clearly distinguished further than being outdoors indoors, clear insights variability within monitored houses. These results highlight importance pollution improve exposure estimates, as whilst people may live areas acceptable quality, they exposed unhealthy their own homes. This method future studies extended periods influence seasonality on scaled up larger geographical areas.

Language: Английский

Citations

2

Predicting environmental pollutants in the apartment public space: Evaluating the impact of spatial enclosure and monitoring locations DOI
Yang Lv, Xiaodong Wang, Dan Liu

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102277 - 102277

Published: Jan. 6, 2025

Language: Английский

Citations

1

Indoor air quality evaluation in oncology units at two European hospitals: Low-cost sensors for TVOCs, PM2.5 and CO2 real-time monitoring DOI
Jolanda Palmisani, Alessia Di Gilio, Mar Viana

et al.

Building and Environment, Journal Year: 2021, Volume and Issue: 205, P. 108237 - 108237

Published: Aug. 8, 2021

Language: Английский

Citations

49