Use of linear regression models to determine influence factors on the concentration levels of radon in occupied houses

• DOI: 10.1142/s2010194516602234
• Publication Date: 2016-09-01T01:19:15Z
• Authors: Jonas Buermeyer; Matthias Gundlach; Anna-Lisa Grund; Volker Grimm; Alexander Spizyn; Joachim Breckow
• Keywords: Natural Ventilation

This work is part of the analysis effects constructional energy-saving measures to radon concentration levels in dwellings performed on behalf German Federal Office for Radiation Protection. In parallel measurements five buildings, both meteorological data outside buildings and indoor climate factors were recorded. order access inhabited amount carbon dioxide (CO[Formula: see text] was measured. For a statistical linear regression model, one object chosen as an example. Three dummy variables extracted from process CO 2 provide information usage ventilation room. The revealed highly autoregressive model with additional influence by natural environmental factors. autoregression implies strong dependency source since it reflects backward time. At this point investigation, cannot be determined whether affects or habitant’s behavior resulting variation occurring levels. any case, might further that would help distinguish these effects. next step, will weighted according their impact lead enables prediction based measurement combination parameters, well development advices ventilation.