Open AccessForecasting of the realtime data monitored by differential optical absorption spectroscopy method
Author(s) -
Qisheng Feng,
Wenqing Liu,
Bin Zhou,
LI Zhen-bi,
Yanjun Cui
Publication year - 2003
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.52.1307
Subject(s) - differential optical absorption spectroscopy , trace gas , measure (data warehouse) , absorption (acoustics) , atmosphere (unit) , spectroscopy , computer science , absorption spectroscopy , environmental science , differential (mechanical device) , trace (psycholinguistics) , remote sensing , optics , computational physics , meteorology , physics , data mining , geology , thermodynamics , linguistics , philosophy , quantum mechanics
Differential optical absorption spectroscopy (DOAS) has become a widely used method to measure trace gases in the atmosphere.Their concentrations can be retrieved by a numerical analysis of the atmospheric absorption spectra. But it has been found that DOAS could not gain continuous data under a bad weather condition.Thus it could not fully fit for the demand of the environment monitoring statute.A prediction technology has been developed, based on the stepwise regression analysis method.It is shown that the forecasting data using this method is consistent with the real data after doing a great deal of experiments. This technology has been used in practice.