DOI: 10.1016/j.atmosenv.2014.03.041
Scopus记录号: 2-s2.0-84900550850
论文题名: Explorative forecasting of air pollution
作者: Domańska D ; , Wojtylak M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 92 起始页码: 19
结束页码: 30
语种: 英语
英文关键词: Air pollution forecasting
; Data mining
; Expert system
; Fuzzy numbers
; Prediction
Scopus关键词: Data mining
; Expert systems
; Forecasting
; Fuzzy sets
; Meteorology
; Sulfur dioxide
; Water management
; Weather forecasting
; Air pollution forecasting
; Experimental verification
; Forward time
; Fuzzy numbers
; Historical data
; Meteorological station
; Wind directions
; Air pollution
; atmospheric pollution
; concentration (composition)
; data acquisition
; experimental study
; numerical model
; pollution monitoring
; weather forecasting
; air pollution
; air pollution forecasting model
; forecasting
; human
; mathematical model
; meteorology
; particulate matter
; priority journal
; review
; weather
; wind
; Poland
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In the paper a model to predict immission concentrations of PM10 , SO2 , O3 for a selected number of forward time steps is proposed. The proposed model (e-APFM) is an extension of the Air Pollution Forecasting Model (APFM). APFM requires historical data for a large number of points in time, particularly weather forecast, meteorological and pollution data. e-APFM additionally requires information about the wind direction in sectors and meteorological station. This information also permits pollution at meteorological stations for which we do not have the necessary data (in particular the data about pollution) to be forecast. The experimental verification of the proposed model was conducted on the data from the Institute of Meteorology and Water Management in Poland over a period of two years (between January 2011 and December 2012). Experiments show that the e-APFM method has lower deviations between the measured and predicted concentrations compared to the APFM method for the first day and similar deviations for the next two days (for hourly values) and for the first day and mostly worse for the second and third day (for daily values). © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81018
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Institute of Computer Science, University of Silesia, Bedzińska 39, 41-200 Sosnowiec, Poland; Institute of Meteorology and Water Management (IMGW), Bratków 10, 40-045 Katowice, Poland
Recommended Citation:
Domańska D,, Wojtylak M. Explorative forecasting of air pollution[J]. Atmospheric Environment,2014-01-01,92