A necessary distinction between spatial representativeness of an air quality monitoring station and the delimitation of exceedance areas

被引:11
作者
Beauchamp, Maxime [1 ]
Malherbe, Laure [2 ]
de Fouquet, Chantal [1 ]
Letinois, Laurent [2 ]
机构
[1] Mines ParisTech, Ctr Geosci, Equipe Geostat, 35 Rue St Honore, F-77305 Fontainebleau, France
[2] Inst Natl Environm Ind & Risques INERIS, Direct Risques Chron, Parc Technol Alata, F-60550 Verneuil En Halatte, France
关键词
Geostatistics; Kriging; Air pollution; Spatial representativeness; Exceedance; NITROGEN-DIOXIDE; MODEL; DISTANCE;
D O I
10.1007/s10661-018-6788-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The European legislation on ambient air quality introduces the concepts of spatial representativeness of a monitoring station and spatial extent of an exceedance zone. Spatial representativeness is an essential macro-scale siting criterion which should be evaluated before the setting-up and during the life of a monitoring point. As for the exceedance area, it has to be defined each time an environmental objective is exceeded in an assessment zone. No specific approach is prescribed to delimit such areas. A probabilistic methodology is presented, based on a preliminary kriging estimation of atmospheric concentrations at each point of the domain. It is applied to NO2 pollution on the urban scale. In the proposed approach, a point belongs to the area of representativeness of a station if its concentration differs from the station measurement by less than a given threshold. To take the estimation uncertainty into account, the standard deviation of the kriging error is used in a probabilistic framework. The choice of the criteria used to deal with overlapping areas is first tested on NO2 annual mean concentration maps of France, built by combining surface monitoring observations and outputs from the CHIMERE chemistry transport model. At the local scale, data from passive sampling surveys and high -resolution auxiliary variables are used to provide a more precise estimation of the background pollution in different French cities. The traffic-related pollution can also be accounted for in the map by additional predictors such as distance to the road, and traffic-related NO (x) emissions. Similarly, the proposed approach is implemented to identify the points, at a given statistical risk, where the NO2 concentration is above the annual limit value.
引用
收藏
页数:27
相关论文
共 31 条
[1]  
ASPA, 2014, TECHNICAL REPORT
[2]  
Baldwin N., 2015, ATMOSPHERIC ENV
[3]  
Beauchamp M., 2016, DRC1111822513905A LC
[4]  
Beauchamp M., 2011, R2011334CFOU LCSQA C
[5]  
Bobbia M., 2008, POLLUTION ATMOSPHE R
[6]  
Carruthers D.J., 1998, P AIR POLL MOD ITS A
[7]  
Chiles J. P., 2012, GEOSTATISTICS MODELI
[8]  
Ciancarella L., 2013, RT20133ENEA
[9]  
Cori A., 2005, THESIS
[10]   Geostatistical characterization of the nitrogen dioxide concentration in an urban area - Part I: Spatial variability and cartography of the annual concentration [J].
De Fouquet, Chantal ;
Gallois, David ;
Perron, Gilles .
ATMOSPHERIC ENVIRONMENT, 2007, 41 (32) :6701-6714