Study On Healthy Risk Assessment & Simulation On Residential Indoor Environment Based On Stochastic Theory

Indoor environment is tightly related to the life of human beings. Urban residents spend over 90% of their daily time in indoor environments, among which over 50% is in residential environment. Therefore, the indoor air quality (IAQ) in residential environment will influence residents’health and safety directly. How to appraise the risk of residential indoor environment quality and to create a comfortable and healthy residential environment will have momentous effect on residents’health.Traditional residential indoor health risk assessment method adopts the single-point assessment. Its shortcomings include that the calculation is too simple so that the results deviate the target value, and that it does not consider the probability distribution of parameters, etc. Thus, the veracity and feasibility of health risk evaluation results would be affected. To overcome these shortcomings, this paper proposes a new residential health risk assessment method based on stochastic theory. In this new method, the multiple parameters uncertainty residential health risk assessment model is simulated with Monte Carlo simulation and electric sampling arithmetic, and some related parameters are optimized and improved. Consequently, the method overcomes the disadvantages of traditional single-point risk appraisement, thus possesses more practical value for complicated health risk assessment.The paper firstly reviewed the domestic and international recent research of IAQ assessment and indoor environment health risk qualitative and quantitative assessment. The author discovers that researcher stays merely for indoor environmental healthy risk assessment on the foundation of calculating simple certainty risk, and for the assessment and research on uncertainty risk assessment is less. On the other hand, the researchers’assessmemnt and research on the special indoor environmental healthy risk is less, and systematic research is seen much less.Secondly, the author takes city family residence as object to investigate the stay time in different indoor environment for people of different professions, stay time in different function rooms of residences with well designed questionnaire, and detects the concentration of contaminants in different function rooms in residences. This investigation proves that residence is the indoor environment where people stay the longest time, illustrates the stay time of residents in different function rooms, and the distribution of the contaminant concentration in different function rooms.Thirdly, this paper focuses on the study of quantitative effects of uncertainty factors on risk appraisement based on the statistical data and proposes a new health risk assessment method. The author calculates the concentrations of formaldehyde and benzene and their impacts on residents’health risk based on stochastic theory with resident health risk assessment scheme and model parameters optimization design basd on the new method. The result shows that the new method is better than previous ones.Finally, the impact of the model parameters on model outputs is attained by sensitive feature analysis, and the decisive model parameters are confirmed as well. New risk management strategies are proposed from the appraisement results, and at the same time, the keynotes of future resident health risk management and control are presented.