Through the analysis of various measurements in conditions that characterise the human life, the present paper wants to be a contribution to the study of the in-door air exposition. The importance of the study is related to the fact that, in urban areas, almost 80% of the life time of the inhabitants is spent indoor. For this reason, a few measurements were performed in office, kitchen, living-room and sleeping-room. Additional out-door measurements allowed calculating the overall exposition of a virtual person spending his time according to a known scheme (in 'the presented case-study the transport mean is a bicycle). Detailed considerations on different particulate matter classes allows understanding the real health impact of the measured particulate matter. For instance, the entrance and the exit of people in and out of the office increases the value of PM,p but PM, value keeps stable; in this way the health risk keeps steady as the exposure is related to the higher fractions of particulate matter. As a main conclusion, a real decrease of health risk from particulate matter can be obtained by a better information to the population concerning the meaining of in-door air pollution and its relationship with the human behavior.
In-door air measurements of PM10 in different conditions
Rada, Elena Cristina;Ragazzi, Marco;
2009-01-01
Abstract
Through the analysis of various measurements in conditions that characterise the human life, the present paper wants to be a contribution to the study of the in-door air exposition. The importance of the study is related to the fact that, in urban areas, almost 80% of the life time of the inhabitants is spent indoor. For this reason, a few measurements were performed in office, kitchen, living-room and sleeping-room. Additional out-door measurements allowed calculating the overall exposition of a virtual person spending his time according to a known scheme (in 'the presented case-study the transport mean is a bicycle). Detailed considerations on different particulate matter classes allows understanding the real health impact of the measured particulate matter. For instance, the entrance and the exit of people in and out of the office increases the value of PM,p but PM, value keeps stable; in this way the health risk keeps steady as the exposure is related to the higher fractions of particulate matter. As a main conclusion, a real decrease of health risk from particulate matter can be obtained by a better information to the population concerning the meaining of in-door air pollution and its relationship with the human behavior.
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