Environment indoor air quality assessment using fuzzy inference system

Dionova, ‪Brainvendra Widi; Mohammed, M. N.; Al-Zubaidi, Salah; Yusuf, Eddy

doi:10.1016/j.icte.2020.05.007

Cited by 53 publications

(28 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, ongoing COVID-19 pandemic has put world population indoors for months. Growing concerns over impact of indoor air quality (IAQ) on human health has led to several studies for various categories of buildings worldwide (Dionova et al 2020 ; Huang et al 2020 ; Kozielska et al 2020 ; Yu et al 2020 ). Indoor air quality is directly affected by occupant behaviours and material of the building (especially in extreme climatic conditions).…”

Section: Introductionmentioning

confidence: 99%

Particulate matter concentration and health risk assessment for a residential building during COVID-19 pandemic in Abha, Saudi Arabia

Algarni

Khan

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

Building and its environment are in focus owing to health impact attributed to indoor air quality. This study was carried out to assess indoor air quality in terms of particulate matter (PM) and carbon dioxide in a residential building, during COVD-19 pandemic lockdown from March 25 to April 23, 2020, Abha, Saudi Arabia. The PM concentration range for kitchen, bedroom, and hall were 40,000–81000 μg/m 3 (PM 0.3 ), 15,000–26000 μg/m 3 (PM 0.5 ), 4000–6000 μg/m 3 (PM 1 ), 1100–1500 μg/m 3 (PM 2.5 ), 160–247 μg/m 3 (PM 5 ), and 60–95 μg/m 3 (PM 10 ). The results of this study suggest that bedroom needs to be ventilated as CO 2 concentration was reaching 700 ppm during sleep hours. PM concentration was exceeding 300 μg/m 3 (unhealthy) for all particle sizes of PM 0.3 , PM 0.5 , PM 1 , and PM 2.5 except for PM 10 which was also above safe limits (0–50 μg/m 3 ). Also, with influential habit (aromatic smoke), these concentrations increased 2–28 times for PM. The hazard quotient value greater than 1 revealed potential health risk to the inhabitants. Hence, future studies are needed for developing indoor air quality guidelines for residential buildings in Saudi Arabia and better planning and management of energy consumption.

show abstract

Section: Introductionmentioning

confidence: 99%

Particulate matter concentration and health risk assessment for a residential building during COVID-19 pandemic in Abha, Saudi Arabia

Algarni

Khan

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…Each microorganism requires different temperatures, such as minimum, optimum, or maximum temperature according to the microorganism conditions. The quality of the indoor environment is influenced by the temperature conditions and air flow ventilation (18). Temperature of 26.5-29.5 ⁰C and humidity of 64.5 -85% are favorable conditions for the survival and reproduction of microorganisms, while the undesirable conditions are temperatures of 20-22 ⁰C and humidity of 30-60% (3).…”

Section: Discussionmentioning

confidence: 99%

Environmental Management Strategy to Control Air Germs in Tjitrowardojo District Hospital

Praptiwi

Rahardjo

Sunarto

2021

JKL

View full text Add to dashboard Cite

Introduction: The presence of air germs in the hospital patient rooms is potentially to cause health problems for patients. This study aimed to identify andanalyze environmental factors associated with air germs, and formulate environmental management strategi to control air germs in the patient rooms. Methods: This study was an observational analytic survey, used a mixed method and a cross sectional design. Data collection was conducted through laboratory tests and interviews. Data was analysed by pearson correllation test to analyze environmental factors associated with air germs. The appropriate environmental management strategies was determined through SWOT analysis (Strength, Weakness, Opportunities, Threats). Results and Discussion: Several factors related to air germs were temperature (p = 0.032), lighting (p = 0.01) and the staff knowledge (p = 0.001). Humidity was not significantly related to air germs (p = 0.178), The results of SWOT analysis indicated that aggressive strategies (Strengths and Opportunities) were arranging internal hospital policies regarding to air quality management based on the Ministry of Health, utilizing educational qualifications and knowledge of room staff to support policy implementation, improving the performance of outsourcing personnel in cleaning services and maintaining hospitals infrastructure, increasing Inhouse Training activities. Conclusion: Environmental factors play an important role in the presence of air germs in the patient rooms so appropriate environmental management strategies are needed to control the presence of air germs.

show abstract

“…In this study, a fuzzy logic system that can be utilized for urban bus ventilation controllers will be designed. The evaluation of IAQI and TCI in this study is different from the study of Dionova et al (2020) in such a way that the IAQI will be determined by six pollutants instead of the four pollutants. The previous study (Dionova et al, 2020) used CO2, CO, NO2, and O3 for the evaluation of IAQI.…”

Section: Introductionmentioning

confidence: 93%

“…The two indoor conditions are the indoor temperature and humidity of the bus. The parameters chosen for this study are based on the study done by Dionova et al (2020) [6].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Program for Bus Indoor Environmental Assessment

Allana

Chua

2021

AEJ

View full text Add to dashboard Cite

This paper proposes a fuzzy logic algorithm that evaluates the indoor environmental conditions on an urban bus specifically in Metro Manila. This algorithm identifies the value of three indexes: IAQI, TCI, and CO2. The Indoor Air Quality Index (IAQI) quantifies the level of indoor air quality of the bus. CO2, CO, NO2, O3, TVOC, and PM10 are the input parameters for the fuzzy logic system that will determine IAQI. Thermal Comfort Index (TCI) quantifies the indoor thermal condition in four levels. The indoor temperature and humidity are the input parameters for the fuzzy logic system that will determine TCI. The fuzzy logic program in this study is designed mainly for the bus ventilation control system. The created FLS program was able to give good results. The observations from the program were the following: as the indoor air pollutants increased, the IAQI decreased; as the level of thermal parameters increased, the TCI decreased; and as the CO2 level and temperature increased, the number of passengers also increased.

show abstract

Environment indoor air quality assessment using fuzzy inference system

Cited by 53 publications

References 40 publications

Particulate matter concentration and health risk assessment for a residential building during COVID-19 pandemic in Abha, Saudi Arabia

Particulate matter concentration and health risk assessment for a residential building during COVID-19 pandemic in Abha, Saudi Arabia

Environmental Management Strategy to Control Air Germs in Tjitrowardojo District Hospital

Fuzzy Logic Program for Bus Indoor Environmental Assessment

Contact Info

Product

Resources

About