Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Cameron L. Jones
DOI Link: https://doi.org/10.22214/ijraset.2023.49596
Certificate: View Certificate
This paper evaluates the practical implications of recent legislative changes in Australia for residential tenancy and minimum rental housing standards, with a focus on the known risks from mould exposure to health. Specifically, the study examines the use of particulate matter (PM) measurements as a surrogate index for mould spores during residential indoor air quality assessments. The findings indicate that PM10 is a useful surrogate index for mould spores, while PM2.5 is less reliable due to size differences between PM2.5 and mould spores. The paper also investigates the relationship between particulate matter, mould spore sizes, and ambient air quality by reviewing relevant literature and presenting case studies from various Australian and international sources. Overall, the study highlights the importance of early detection during onsite inspections to minimize health hazards related to mould and dampness and to improve indoor air quality in residential tenancy spaces.
I. INTRODUCTION
With the recent revisions to the Residential Tenancies Amendment Act 2018 [1] and Residential Tenancies Regulations 2021 (S.R. No. 3/2021) [2], the quality of indoor air in residential properties has become a significant issue for the residential tenancy market. The amendments for Victoria, highlight the significance of addressing mould and moisture issues in rented properties, placing responsibility on both tenants and landlords [3]. Changes for other States and Territories are also underway [4]-[6]. This paper examines the potential use of particulate matter (PM), such as PM2.5 and PM10, as a surrogate index for mould spores in the assessment of indoor air quality, taking into account the diameters of mould spores and their relationship to standard PM sizes.
Mould spores are ubiquitous in indoor environments and come in a wide spectrum of diameters, typically between 3 and 100 micrometers (mm). PM2.5 and PM10 are abbreviations for particles with diameters of less than 2.5 mm and 10 mm, respectively. Although mould spores can fall within the PM10 size range, they typically exceed the PM2.5 size threshold. Studies have demonstrated a correlation between elevated PM10 concentrations and the presence of mould micorganisms in indoor environments. However, the use of PM2.5 as an indicator for mould spores is restricted due to the fact that mould spore sizes frequently exceed the 2.5 mm threshold.
II. METHODS
The relationship between particulate matter, mould spore sizes, and ambient air quality was investigated through a comprehensive literature review. The review analysed research on the use of PM2.5 and PM10 as indicators of mould spores in residential and other relevant properties. In addition, the effects of recent legislative changes regarding mould and moisture on the residential rental market were examined. Papers were sourced using PubMed (https://pubmed.ncbi.nlm.nih.gov/), Semantic Scholar (https://www.semanticscholar.org/) and an AI information retrieval tool (https://elicit.org/).
III. RESULTS
One study [7] found a strong relationship between particulate matter (PM) sizes and the presence of mould and dampness in indoor environments. Elevated particle concentrations, including PM10, were observed in areas with dampness and mould problems, which correlated with higher concentrations of bacteria and fungi, exceeding legal limits.
Another study [8] assessed indoor air quality (IAQ) and microbiological contaminants in urban and rural school classrooms, finding that temperature, relative humidity, and bacterial colony-forming units exceeded standard limits in some cases. Airborne particulate matter was associated with the presence of common fungal species, such as Aspergillus, Alternaria, Cladosporium, Penicillium, and Mucor.
A more recent study [9] aimed to assess the indoor air quality of Australian residential buildings, revealing that 1 in 3 homes displays excessive dampness and mould proliferation, posing a significant threat to both physical and psychological health. Monitoring results showed a correlation between high concentrations of fungal spores and poor indoor air quality levels, marked by elevated levels of particulate matter (PM10 and PM2.5) and CO2. Furthermore, the research indicated that extensive mould damage may go unnoticed for extended periods, increasing health risks for occupants. The findings underscore the importance of developing early detection strategies to minimize health hazards and avoid costly renovations related to mould and dampness issues.
A follow-up study by the same authors [10] further investigated the relationship between indoor air quality, particulate matter, and mould growth in Australian residential buildings. Results show that buildings with high concentrations of fungal spores are more likely to have poor IAQ levels and elevated levels of particulate matter (PM10 and PM2.5), as well as carbon dioxide (CO2). The study emphasizes the importance of early detection strategies to minimize health hazards related to mould and dampness and prevent the need for major renovations. It also highlights the need for better building design, construction practices, and regulations to prevent mould growth and improve IAQ in residential spaces.
Earlier, the study by Jones [11] looked at the indoor living environment's impact on health, with a focus on dampness and mould as factors causing significant adverse respiratory and other health effects. That research investigated the microbiome of 100 Melbourne homes, analysing the role of fungi and other biological and inorganic airborne particulates as agents of human exposure. This paper demonstrated that PM2.5 and PM10 are sensitive measures of mould spores in the indoor environment. It was found that understanding the relationship between PM2.5, PM10, and mould spores can help assess the risks related to residential housing and public health.
And even earlier study [12] calculated the population attributable fraction (PAF) of Canadian childhood asthma due to modifiable environmental exposures. It showed that Canadian exposure prevalence include PM10 at 16% and PM2.5 at 7.1%. The study reveals that PM10 and PM2.5 have relative risk estimates of 1.64 and 1.44 for developing physician-diagnosed asthma (PDA), respectively. The PAF estimates for incident asthma among preschool children are 11% for PM10 and 1.6% for PM2.5. The research suggests a contribution to childhood asthma development from exposure to particulates, while the associations for mould and moisture appear to be more variable. Further studies with objectively measured exposures are recommended to better understand these associations.
Reference [13] and [14] investigated the associations between reported common colds and home dampness, mould, and particulate matter (PM) in China among young adults without asthma or allergic rhinitis. They found that living in homes with water leakage, mould odour, indoor mould, condensation on window panes, and damp bed clothing were all associated with common colds. Furthermore, higher mean ambient temperature, PM10, and PM2.5 were also associated with common colds. The association with particulate air pollution was stronger in southern China. The paper concludes that indoor dampness, mould, a warmer climate, and PM10 and PM2.5 can be associated with reported common colds; while ‘furry pet’ ownership was also another factor but further intervention and prospective studies are needed to verify causality.
Reference [15] examined indoor air quality in 101 indoor microenvironments within 25 nursery and primary schools and found that children were exposed to high levels of PM2.5 and CO2 in 69.0% and 41.3% of the classrooms, respectively, with higher levels mostly in urban sites. Multivariate linear regression models identified the main determinants of CO2 and PM2.5 concentrations, including background concentrations, relative humidity, flooring material, heating, and the age group of occupants. The study recommends mitigation measures to reduce indoor air pollutant levels and prevention actions to decrease children's exposure, such as improving ventilation and cleaning actions, reducing time spent indoors, and avoiding or maintaining hardwood flooring materials and VOC-emitting materials.
IV. SAMPLE AIR QUALITY METRICS
The new laws for tenants and landlords especially in Victoria, Australia have increased the responsibility of rental providers to ensure that rented properties are free of mould and moisture resulting from or related to the building structure. Tenants, on the other hand, must provide evidence that the mould is hazardous and/or causing a health issue to support their request for immediate restorations and interventions. Table 1 shows an example from using a portable particle analyser to collect real time data from a home that has suffered water damage.
TABLE I
Particle matter counts for different rooms in a building known to have suffered water damage. rooms and areas with suspect mould were detected in real time for: bedroom 3, Bed 3 subfloor, lounge/dining room, bed 4 ensuite wall cavity and bed 4 ensuite.
Sample Location |
Air Quality Score |
PM1 |
PM2.5 |
PM10 |
VOC’s |
Outdoors |
95 |
1 |
3.8 |
6.8 |
0.08 |
Bedroom Number One |
95 |
1.3 |
3.3 |
5.4 |
0.07 |
Bedroom Number Three |
85 |
4.5 |
13 |
22 |
0 |
Bedroom Number Three Sub Floor |
53 |
20 |
53 |
91 |
0 |
Lounge/Dining Room |
77 |
10 |
22 |
36 |
0.003 |
Bedroom Number Four Ensuite Wall Cavity |
46 |
24 |
63 |
109 |
0.01 |
Bedroom Number Four Ensuite Room |
76 |
7.7 |
22 |
39 |
0 |
In indoor air quality assessments, PM10 can serve as a useful surrogate index for mould spores, whereas PM2.5 is less reliable due to the size difference between PM2.5 and many mould spores. Confirmation of mould can then be verified using spore trap testing, surface tape lifts, RODAC petri plates, moisture testing using pin probe and infrared imaging if required. Recent legislative amendments have highlighted the significance of addressing mould and moisture problems in properties leased out as part of residential tenancy agreements. As a result, the use of PM10 as a surrogate index for mould spores can provide valuable, real-time insights into the indoor air quality of rented properties, aiding both tenants and landlords in complying with the new regulations.
2023) Residential Tenancies Amendment Act 2018, ACT NUMBER 45/2018. [Online]. Available: https://www.legislation.vic.gov.au/as-made /acts/residential-tenancies-amendment-act-2018 [2] (2023) Residential tenancies regulations 2021 (SR No 3 of 2021) - reg 16 information which residential rental provider must disclose to rental applicant. [Online]. Available: http://classic.austlii.edu.au/au/legis/vic/num_reg/rtr2021n3o2021397/s16.html ; Residential tenancies regulations 2021 (SR No 3 of 2021) - reg 42 information which rooming house operator must disclose to applicant. Available at: http://classic.austlii.edu.au/au/legis/vic/num_reg/rtr 2021n3o2021397/s42.html ; Residential tenancies regulations 2021 (SR No 3 of 2021) - schedule 4. Rental minimum standards. Available: http://classic.austlii.edu.au/au/legis/vic/num_reg/rtr2021n3o2021397/sch4.html [3] (2023) Consumer Affairs Victoria, Pests, infestations and mould. [Online]. Available: https://www.consumer.vic.gov.au/housing/renting/repairs-alterations-safety-and-pets/pests-infestations-and-mould [4] (2023) Queensland Government. Rental law changes. [Online]. Available: https://www.rta.qld.gov.au/rental-law-changes [5] (2023) Queensland Government. Mould During a Tenancy. [Online]. Available: https://www.rta.qld.gov.au/during-a-tenancy/maintenance-and-repairs/mould [6] (2022) NSW Fair Trading, Health, Safety and security in a rental property. [Online]. Available: https://www.fairtrading.nsw.gov.au/housing-and-property/renting/during-a-tenancy/health,-safety-and-security [7] C. Alves, M. Duarte, M. Ferreira, A. Alves, A. Almeida, and Â. Cunha, \"Air quality in a school with dampness and mould problems,\" Air Quality, Atmosphere & Health, vol. 9, pp. 107–115, 2016. [8] A. Hizrri, M. G. Z. Nabilah, Z. Nurul Amni, N. Shahida, Z. Maryam, A. H. Hazrin, S. Mohd Faez, and M. A. Mohd Shukri, \"Indoor air quality (IAQ) characteristics and its microbial community identifications at two selected schools in Pahang, Malaysia: a preliminary study,\" Asian J Agri & Biol, vol. Special Issue, pp. 88-96, 2018. [9] A. Brambilla, C. Candido, and O. Gocer, \"My home is making me sick! Implications of poor indoor environment quality on mould growth,\" in Proc. 1st International Conference on Moisture in Buildings (ICMB21), UCL London, June 28-29, 2021. [10] A. Brambilla, C. Candido, and O. Gocer, \"Indoor air quality and early detection of mould growth in residential buildings: a case study,\" UCL Open: Environment, vol. 4, pp. 1-9, Nov. 15, 2022. [11] C. Jones, \"Environmental exposure patterns for airborne particulate matter (PM2.5 and PM10) inside residential properties.\" J. Australas. Coll. Nutr. Environ. Med., vol. 35, pp. 20-21, 2016. [12] E. Simons, T. To, and S. Dell. \"The population attributable fraction of asthma among Canadian children.\" Can J Public Health. Jan-Feb;102(1):35-41, 2011. [13] C. Lu, D. Norbäck, Y. Zhang, B. Li, Z. Zhao, C. Huang, X. Zhang, H. Qian, J. Wang, W. Liu, X. Yang, Y. Sun, J. Sundell, and Q. Deng, \"Common cold among young adults in China without a history of asthma or allergic rhinitis - associations with warmer climate zone, dampness and mould at home, and outdoor PM10 and PM2.5,\" Sci Total Environ, vol. 749, p. 141580, Dec. 2020. [14] C. Lu, D Norbäck, Y. Zhang, B. Li, Z. Zhao, C. Huang, X. Zhang, H. Qian, Y. Sun, J. Wang, W. Liu, J. Sundell, Q. Deng. Furry pet-related wheeze and rhinitis in pre-school children across China: Associations with early life dampness and mould, furry pet keeping, outdoor temperature, PM10 and PM2.5. Environ Int. Nov;144:106033, 2020. [15] P.T.B.S. Branco, A.P. Carvalho, C.A. Alves, A.A. Almeida, and Â. Cunha, \"Quantifying indoor air quality determinants in urban and rural nursery and primary schools,\" Environmental Research, vol. 176, p. 108534, Nov. 2019.
Copyright © 2023 Cameron L. Jones. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET49596
Publish Date : 2023-03-16
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here