An approach for classification of health risks based on air quality levels

The Finnish Society of Indoor Air Quality and Climate (FiSIAQ) introduced a Classification of Indoor Climate, Construction Cleanliness, and Finishing Materials in 1995. The Classification of Indoor Climate has been revised to meet the new Decree on indoor air quality and ventilation, European standards and experience from users of the classification. The most significant change is that target values for concentration and the in/out ratio of fine particles have been added. Other adjustments have been made to ensure good indoor environment and energy efficiency, but with reasonable investments. The criteria for emissions from building material and furniture were also updated. The Building Information Foundation RTS sr has run the M1-labelling of building products since 1996. The voluntary approach has been proven to improve the IAQ in new buildings and to reduce emissions from building materials. The Classification of Indoor Environment 2018 is integrated part of the new RTS Environmental Classification system.

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Classification of Air Quality Network based on Meteorological and Pollutant Factors

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) ◽

10.1109/hora49412.2020.9152910 ◽

2020 ◽

Author(s):

Goksu TUYSUZOGLU ◽

Derya BIRANT ◽

Alp KUT ◽

Aysegul PALA

Keyword(s):

Air Quality

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Examining Patterns of Air Quality Perception: A Cluster Analysis for Southern Chilean Cities

SAGE Open ◽

10.1177/2158244019863563 ◽

2019 ◽

Vol 9 (3) ◽

pp. 215824401986356 ◽

Cited By ~ 4

Author(s):

Àlex Boso ◽

Boris Álvarez ◽

Christian Oltra ◽

Álvaro Hofflinger ◽

Arturo Vallejos-Romero ◽

...

Keyword(s):

Health Care ◽

Air Pollution ◽

Cluster Analysis ◽

Air Quality ◽

Health Risks ◽

Public Perception ◽

Emotional Responses ◽

Sociodemographic Factors ◽

Southern Chile ◽

Las Casas

Various medium-sized cities in southern Chile are saturated by air pollution caused by woodsmoke. In this study, we developed a segmentation model to assess the public’s perceptions, understanding of health risks and emotional responses to poor air quality. To date, this is the first segmentation model dealing with public perception in cities contaminated by woodsmoke. A survey ( N = 489) was conducted in Temuco and Padre las Casas, Chile, which included questions regarding attitudes, sociodemographic factors, and health care behaviors, to obtain information for mitigation initiatives. Through a cluster analysis, three population segments were identified that related differently to environmental pollution, which were constructed based on seven psychosocial variables. Different sociodemographic profiles and self-reported behavioral patterns were found, which should guide policies aimed at improving air quality in cities contaminated by pollution from wood-burning stoves.

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