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

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 t...

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Veröffentlicht in:Environmental monitoring and assessment 2018-07, Vol.190 (7), p.441-27, Article 441
Hauptverfasser: Beauchamp, Maxime, Malherbe, Laure, de Fouquet, Chantal, Létinois, Laurent
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container_title Environmental monitoring and assessment
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creator Beauchamp, Maxime
Malherbe, Laure
de Fouquet, Chantal
Létinois, Laurent
description 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 NO 2 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 NO 2 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 NO 2 concentration is above the annual limit value.
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subjects Air monitoring
Air Pollutants - analysis
Air pollution
Air Pollution - statistics & numerical data
Air quality
Atmospheric Protection/Air Quality Control/Air Pollution
Cities
Earth and Environmental Science
Ecology
Ecotoxicology
Emissions
Environment
Environmental Management
Environmental monitoring
Environmental Monitoring - methods
Environmental objective
Environmental science
Environmental Sciences
Frameworks
France
Humans
Kriging interpolation
Legislation
Monitoring/Environmental Analysis
Nitrogen compounds
Nitrogen dioxide
Nitrogen oxides
Nitrogen oxides emissions
Organic chemistry
Outdoor air quality
Pollutants
Pollution
Probabilistic methods
Spatial Analysis
Statistical analysis
Statistical methods
Surveys
title A necessary distinction between spatial representativeness of an air quality monitoring station and the delimitation of exceedance areas
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