全球智库信息集成服务系统(G2TT): Real-time forecast of air pollution episodes in the Venetian region. Part 2: The Kalman predictor.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/S0307-904X(79)80022-0
	Real-time forecast of air pollution episodes in the Venetian region. Part 2: The Kalman predictor.
	Fronza G; Spirito A; Tonielli A
发表日期	1979
出处	Applied Mathematical Modelling 3 (6): 409-415
出版年	1979
语种	英语
摘要	Real-time prediction of air pollution means forecast of future ground-level concentrations on the basis of current information about meteorology, emission and concentrations themselves. The paper illustrates how the episode forecast performance of the advection-diffusion model (described in Part 1) can be improved by: (i) embedding the model into a stochastic version, by introducing into the numerical solution scheme of the advection-diffusion equation proper random terms (noises), specified in a statistical sense and representative of all the inaccuracies of the model itself (wrong inputs, numerical errors, simplifications of the actual physical mechanism, ...); (ii) applying the well-known Kalman prediction technique for real-time forecast to such stochastic version of the model. The results of such a procedure have been satisfactory in the case of the Venetian lagoon sulphur dioxide pollution. In particular, the four-hour ahead forecasts of episodes have been drastically improved with respect to those obtained by means of the "deterministic predictor" illustrated in Part 1.
主题	Resources and Environment Area (REN)
URL	http://pure.iiasa.ac.at/id/eprint/1001/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/126679
推荐引用方式 GB/T 7714	Fronza G,Spirito A,Tonielli A. Real-time forecast of air pollution episodes in the Venetian region. Part 2: The Kalman predictor.. 1979.