Short-term PM10 concentration forecast within the systems MARQUIS and ProFet

被引:0
|
作者
Lohmeyer, A. [1 ]
Duering, I.
Giereth, M.
Hoffmann, T.
Klein, M.
Nicklass, D.
Scheu-Hachtel, H.
Soergel, C.
Wanner, L.
机构
[1] Ingenieurburo Lohmeyer, Karlsruhe, Germany
[2] Ingenieurburo Lohmeyer, Dresden, Germany
[3] Univ Stuttgart, Inst Intelligente Syst, D-7000 Stuttgart, Germany
[4] Univ Stuttgart, Inst Energiewirtschaft & Rationelle Energieanwend, D-7000 Stuttgart, Germany
[5] Landesanstalt Umwelt Messungen & Naturschutz Bade, Karlsruhe, Germany
[6] ICREA, Barcelona, Spain
[7] Univ Pompeu Farbra, Barcelona, Spain
来源
GEFAHRSTOFFE REINHALTUNG DER LUFT | 2007年 / 67卷 / 7-8期
关键词
Air quality;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The air quality information system MARQUIS is intended to provide real time concentration values and short-term PM10 concentration forecasts for selected areas in Europe. Basis are the current data gained by air quality monitoring stations and forecasts of the meteorological data. As additional value for the different user groups, the concentration levels are explained and assessed on a level adapted to the user profile. In case of increased values recommendations for proper behaviour are provided. The contribution presents the examined methods for a short term PM10 concentration forecast at two open country monitoring stations: EURAD (classical emission and dispersion modelling based on the area of Europe), Machine Learning, Multi Regression and Neural Networking. These alternative procedures were examined for use for the area of the State of Baden-Wurttemberg. Additionally the present status of the ProFet-based operational modelling for three vehicle traffic dominated monitoring stations in the State of Sachsen-Anhalt is presented. Its results are foreseen for the real time information of the public and the triggering of measures to reduce vehicle traffic induced PM10 concentrations. Some of the validations are presented.
引用
收藏
页码:319 / 326
页数:8
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