Literature DB >> 29959537

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

Maxime Beauchamp1,2, Laure Malherbe3, Chantal de Fouquet4, Laurent Létinois3.   

Abstract

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 NOx 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.

Entities:  

Keywords:  Air pollution; Exceedance; Geostatistics; Kriging; Spatial representativeness

Mesh:

Substances:

Year:  2018        PMID: 29959537     DOI: 10.1007/s10661-018-6788-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Traffic related air pollution in city districts near motorways.

Authors:  M C Roorda-Knape; N A Janssen; J de Hartog; P H Van Vliet; H Harssema; B Brunekreef
Journal:  Sci Total Environ       Date:  1999-09-01       Impact factor: 7.963

2.  A computational fluid dynamic modelling approach to assess the representativeness of urban monitoring stations.

Authors:  Jose Luis Santiago; Fernando Martín; Alberto Martilli
Journal:  Sci Total Environ       Date:  2013-03-26       Impact factor: 7.963

3.  Ambient nitrogen dioxide and distance from a major highway.

Authors:  Nicolas L Gilbert; Sandy Woodhouse; David M Stieb; Jeffrey R Brook
Journal:  Sci Total Environ       Date:  2003-08-01       Impact factor: 7.963

  3 in total
  1 in total

1.  Spatio-Temporal Representativeness of Air Quality Monitoring Stations in Mexico City: Implications for Public Health.

Authors:  Karol Baca-López; Cristóbal Fresno; Jesús Espinal-Enríquez; Mireya Martínez-García; Miguel Angel Camacho-López; Miriam V Flores-Merino; Enrique Hernández-Lemus
Journal:  Front Public Health       Date:  2021-01-12
  1 in total

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