scholarly journals Ministry of the Environment announces a Guide on Renovation and Repair of Buildings with Moisture and Microbial Damage – from theory to practice

2020 ◽  
Vol 172 ◽  
pp. 20007
Author(s):  
Inari Weijo ◽  
Timo Turunen ◽  
Jukka Lahdensivu ◽  
Esko Sistonen ◽  
Petri Annila
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Theory To Practice ◽  
Air Quality Assessment ◽  
Common Practices ◽  
Microbial Damage ◽  
Private And Public

In 2015, the Ministry of the Environment in Finland renewed the legislation and the National Building Code of Finland. It released completely new legislation concerning repair design. This was due to widely known issues relating to the indoor air quality of private and public buildings. In the autumn of 2019, the Ministry of the Environment in Finland published a guide concerning the repairs of moisture and microbial damage. It is available in Finnish and Swedish. This guide is a follow-up of the Environmental Guide “Building Moisture and Indoor Air Quality Assessment”, published 2016. It completes the series of guides for the execution of a project repairing indoor air quality issues, from a condition assessment to the completion of repairs and the implementation of the building. These guides lead through common practices and how these issues shall be dealt with in Finland.

Electronic Noses for Indoor Air Quality Assessment

2018 ◽  
pp. 202-223
Author(s):  
Tomasz Majchrzak ◽  
Wojciech Karol Wojnowski ◽  
Tomasz Dymerski ◽  
Jacek Gębicki ◽  
Jacek Namieśnik
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Indoor Environments ◽  
Electronic Noses ◽  
Air Quality Assessment ◽  
Air Control ◽  
Near Future ◽  
Structural Solutions

This chapter presents a proposal of the use of electronic noses in the monitoring of indoor air quality. The main focus is put on the detailed characteristics of today's indoor air quality control methods, the types of pollution in the air, and the development of electronic noses for air testing. Currently, scientists seek methodological and structural solutions that would enable real-time online indoor air control. It has been shown that using electronic noses in this situation is advantageous. In addition, potential uses of these devices are discussed, with particular focus on closed food processing spaces. The authors of the chapter argue that in the near future, the proposed solution could improve the quality of indoor air and thus the health of the users of the indoor environments, as well as the quality of the products prepared there.

Indoor air quality assessment at care centre ABC, Malaysia

2018 ◽  
pp. 39-42
Author(s):  
Kamarul Aini Mohd Sari ◽  
Khaleda Farhah Almar Mastaza ◽  
Mohammad Ashraf Abdul Rahman ◽  
Mohd Kamaruzaman Musa ◽  
Mariah Awang ◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Assessment ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Care Centre ◽  
Air Quality Assessment

scholarly journals Spatiotemporal variation of the indoor mycobiome in daycare centers

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Eva Lena F. Estensmo ◽  
Luis Morgado ◽  
Sundy Maurice ◽  
Pedro M. Martin-Sanchez ◽  
Ingeborg B. Engh ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Seasonal Pattern ◽  
Spatiotemporal Variation ◽  
Fungal Community Composition ◽  
Daycare Centers ◽  
Outdoor Climate ◽  
Dna Metabarcoding

Abstract Background Children spend considerable time in daycare centers in parts of the world and are exposed to the indoor micro- and mycobiomes of these facilities. The level of exposure to microorganisms varies within and between buildings, depending on occupancy, climate, and season. In order to evaluate indoor air quality, and the effect of usage and seasonality, we investigated the spatiotemporal variation in the indoor mycobiomes of two daycare centers. We collected dust samples from different rooms throughout a year and analyzed their mycobiomes using DNA metabarcoding. Results The fungal community composition in rooms with limited occupancy (auxiliary rooms) was similar to the outdoor samples, and clearly different from the rooms with higher occupancy (main rooms). The main rooms had higher abundance of Ascomycota, while the auxiliary rooms contained comparably more Basidiomycota. We observed a strong seasonal pattern in the mycobiome composition, mainly structured by the outdoor climate. Most markedly, basidiomycetes of the orders Agaricales and Polyporales, mainly reflecting typical outdoor fungi, were more abundant during summer and fall. In contrast, ascomycetes of the orders Saccharomycetales and Capnodiales were dominant during winter and spring. Conclusions Our findings provide clear evidences that the indoor mycobiomes in daycare centers are structured by occupancy as well as outdoor seasonality. We conclude that the temporal variability should be accounted for in indoor mycobiome studies and in the evaluation of indoor air quality of buildings.

scholarly journals INDOOR AIR QUALITY ASSESSMENT FOR A MULTISTOREY UNIVERSITY OFFICE BUILDING IN MALAYSIA

2019 ◽  
Vol 14 (4) ◽  
pp. 93-109
Author(s):  
Abd Halid Abdullah ◽  
Yee Yong Lee ◽  
Eeydzah Aminudin ◽  
Yeong Huei Lee
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Work Performance ◽  
Sick Building Syndrome ◽  
Office Building ◽  
Physical Parameters ◽  
Contributing Factors ◽  
Air Quality Assessment ◽  
Sick Building

The indoor air quality (IAQ) in office buildings should be assessed for public health concerns as it relates to work performance and productivity. Therefore, this paper aims to assess the IAQ in a university office building. From this investigation, the level of contaminated indoor air is examined, the significant causes and contributing factors of contaminated indoor air are determined and a recommendation to improve the existing condition has been proposed. The physical parameters measured include air temperature, air velocity, relative humidity, and concentrations of carbon dioxide (CO2), carbon monoxide (CO), sulphur dioxide (SO2), and also air particles. It was found that the number of air particles of 0.5 μm in diameter is about 197,748 particles/m3, while air particles of 5.0 μm in diameter is around 534 particles/m3. The collected data were then compared with a questionnaire and IAQ standards. In conclusion, the indoor air quality within the multi-storey central office building of Universiti Tun Hussein Onn Malaysia (UTHM) is acceptable and suitable for occupation even though there were countable symptoms of Sick Building Syndrome (SBS) among its occupants.

scholarly journals The Factors of Affect Indoor Air Quality Inpatient at Private Hospital, Pekanbaru, Indonesia

2019 ◽  
Vol 7 (13) ◽  
pp. 2208-2212
Author(s):  
Endang Purnawati Rahayu ◽  
Zulfan Saam ◽  
Sukendi Sukendi ◽  
Dedi Afandi
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Private Hospital ◽  
Health Workers ◽  
P Value ◽  
Chi Square ◽  
Inpatient Hospitalisation ◽  
Food And Drink

BACKGROUND: Air quality in inpatient rooms influenced by several factors. Room not qualified health can cause disease and can spread through equipment, the material used, food and drink, health workers, patients and visitors. AIM: The purpose of this study is to know the factors that affect air quality in the inpatient room at a private hospital, Pekanbaru. METHODS: The research is quantitative analytic by design cut latitude study. Samples from 120 nurses were selected overall sampling. The data do with the measurement directly, interviews and observation using a questionnaire. Data analysed by using the chi-square with significance p-value less than 0.05. RESULTS: The quality of the air in inpatient rooms has met the standard. Variables are affecting air quality in inpatient rooms in the hospital significantly with p-value more than 0.05 is temperature, dust, the germ, density occupancy, sanitation room. While the moisture, standard operating procedures and behaviour is not significant. CONCLUSION: The factors that significantly affect indoor air quality inpatient hospitalisation are temperature, dust, germ numbers, occupancy density, room sanitation.

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