Adding virtual measuring stations to a network for urban air pollution mapping

被引:15
作者
Beaulant, A. L. [1 ]
Perron, G. [2 ]
Kleinpeter, J. [2 ]
Weber, C. [3 ]
Ranchin, T. [1 ]
Wald, L. [1 ]
机构
[1] Ctr Energy & Proc, Paris Sch Mines, F-06904 Sophia Antipolis, France
[2] Assoc Surveillance & Etud Pollut Atmospher Alsace, ASPA, F-67300 Schiltigheim, France
[3] Univ Strasbourg, Lab Image & Ville, UMR 7011, F-67000 Strasbourg, France
关键词
pollution map; virtual station; morphological indicators; thin plates spline; interpolation method; particulate matter (PM);
D O I
10.1016/j.envint.2007.12.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Maps of pollutants concentration are usually generated by means of interpolation and extrapolation methods. The quality of the results depends mainly of the number of permanent or temporary measuring stations. This paper deals with a method for the virtual densification of the network of stations. The method creates "virtual measuring stations". It aims at improving the quality of interpolation by increasing the number of data on pollutant concentration. The virtual stations are determined by the means of a classification method applied to each pixel of the area under concern. Discriminating elements are pollutants emission classes, land cover types, urban morphological indicators created to this purpose and distance to major roads. A first implementation was made for particulate matter (PM) for the city of Strasbourg (France) using thin-plates spline interpolation method in Arcview 9 GIS. The relative Root Mean Square Error decreases from 49% for five input stations down to 15% for the virtual stations. (C) 2008 Published by Elsevier Ltd.
引用
收藏
页码:599 / 605
页数:7
相关论文
共 22 条
[1]  
ALBUISSON M, 1995, 1 C INT IM SCI TRAIT, P8
[2]  
[Anonymous], 2001, 10 INT S TRANSP AIR
[3]   A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments [J].
Briggs, DJ ;
de Hoogh, C ;
Guiliver, J ;
Wills, J ;
Elliott, P ;
Kingham, S ;
Smallbone, K .
SCIENCE OF THE TOTAL ENVIRONMENT, 2000, 253 (1-3) :151-167
[4]   Kriging and bilinear methods for estimating spatial pattern of atmospheric pollutants [J].
Carletti, R ;
Picci, M ;
Romano, D .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2000, 63 (02) :341-359
[5]   Modeling of episodic particulate matter events using a 3-D air quality model with fine grid: Applications to a pair of cities in the US/Mexico border [J].
Choi, Yu-Jin ;
Hyde, Peter ;
Fernando, H. J. S. .
ATMOSPHERIC ENVIRONMENT, 2006, 40 (27) :5181-5201
[6]   IRS-1C LISS III land cover maps at different spatial resolutions used in real-time accidental air pollution deposition modelling [J].
Hasager, CB ;
Thykier-Nielsen, S .
REMOTE SENSING OF ENVIRONMENT, 2001, 76 (03) :326-336
[7]  
HEWITT CN, 2003, HDB ATMOSPHERIC SCI, P149
[8]   Spatial variability of fine particle concentrations in three European areas [J].
Hoek, G ;
Meliefste, K ;
Cyrys, J ;
Lewné, M ;
Bellander, T ;
Brauer, M ;
Fischer, P ;
Gehring, U ;
Heinrich, J ;
van Vliet, P ;
Brunekreef, B .
ATMOSPHERIC ENVIRONMENT, 2002, 36 (25) :4077-4088
[9]   Association between mortality and indicators of traffic-related air pollution in the Netherlands: a cohort study [J].
Hoek, G ;
Brunekreef, B ;
Goldbohm, S ;
Fischer, P ;
van den Brandt, PA .
LANCET, 2002, 360 (9341) :1203-1209
[10]   Analytical determination and classification of pollutant concentration fields using air pollution monitoring network data - Methodology and application in the Paris area, during episodes with peak nitrogen dioxide levels [J].
Ionescu, A ;
Candau, Y ;
Mayer, E ;
Colda, I .
ENVIRONMENTAL MODELLING & SOFTWARE, 2000, 15 (6-7) :565-573