Citation: | Pang Liping, Qu Hongquan. Contaminant concentrations dynamic prediction method for aircraft cabin based on estimating emission rates[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(8): 946-949. (in Chinese) |
[1] Fang L, Wyon D P, Fanger P O. Sick building syndrome symptoms caused by low humidity Proceedings of Healthy Buildings. Singapore, 2003:1-6 [2] Sun Yuexia, Fang Le, Wyon P, et al. Experimental research on photocatalytic oxidation air purification technology applied to aircraft cabins [J]. Building and Environment,2008,43(3):258-268 [3] Committee on Air Quality in Passenger Cabins of Commercial Aircraft. The airliner cabin environment and the health of passengers and crew [M]. Washington DC: National Academy Press, 2002 [4] Dechow M, Sohn H, Steinhanses J. Concentrations of selected contaminants in cabin air of Airbus aircrafts [J]. Chemosphere, 1997,35: 21-31 [5] Loo S M, Owens J. ASCENT: airliner sensor and cabin environment network Hamid R. International Conference on Wireless Networks, 2006:441-447 [6] Persily A,Reed C H, Nabinger S J. Transient analysis of volatile organic compound concentrations for estimating emission rates [J]. Atmospheric Environment,2003,37:5505-5516 [7] Chen Yongcheng, Zhang Yuanhui, Ernest M B. A dynamic method to estimate indoor dust sink and source [J]. Building and Environment,2000,35:215-221 [8] Liu Xiang, Zhai Zhiqiang. Probability-based inverse modeling algorithm for indoor pollutant source tracking Yang Xudong. Building Simulation. Beijing:Tsinghua Press and Springer-Verlag,2007:810-818 [9] Ristic B, Arulampalam S, Gordon N. Beyond the Kalman filter-particle filter for tracking application[M].Artech House, 2004:39 [10] Hocking M B. Passenger aircraft cabin air quality: trends, effects, societal costs, proposals [J]. Chemosphere,2000,41:603-615
|